🏷️ Publications by Tag

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Agentic 385 papers #

• Toward Ultra-long-horizon Agentic Science: Cognitive Accumulation For Machine Learning Engineering (2026) • No Venue
  Zhu et al.
• AT^2PO: Agentic Turn-based Policy Optimization Via Tree Search (2026) • No Venue
  Zong et al.
• Can Llms Clean Up Your Mess? A Survey Of Application-ready Data Preparation With Llms (2026) • No Venue
  Zhou et al.
• Agent-as-a-judge (2026) • No Venue
  You et al.
• Towards Automated Kernel Generation In The Era Of Llms (2026) • No Venue
  Yu et al.
• Behavior Knowledge Merge In Reinforced Agentic Models (2026) • No Venue
  Yuan et al.
• Davinci-dev: Agent-native Mid-training For Software Engineering (2026) • No Venue
  Zeng et al.
• Opennovelty: An Llm-powered Agentic System For Verifiable Scholarly Novelty Assessment (2026) • No Venue
  Zhang et al.
• Expseek: Self-triggered Experience Seeking For Web Agents (2026) • No Venue
  Zhang et al.
• Confidence Estimation For Llms In Multi-turn Interactions (2026) • No Venue
  Zhang et al.
• Deepplanning: Benchmarking Long-horizon Agentic Planning With Verifiable Constraints (2026) • No Venue
  Zhang et al.
• Llm-in-sandbox Elicits General Agentic Intelligence (2026) • No Venue
  Cheng et al.
• K-EXAONE Technical Report (2026) • No Venue
  Choi et al.
• User-oriented Multi-turn Dialogue Generation With Tool Use At Scale (2026) • No Venue
  Jungho Cho, Minbyul Jeong, Sungrae Park
• Entropy-adaptive Fine-tuning: Resolving Confident Conflicts To Mitigate Forgetting (2026) • No Venue
  Diao et al.
• Agentlongbench: A Controllable Long Benchmark For Long-contexts Agents Via Environment Rollouts (2026) • No Venue
  Fang et al.
• Agentocr: Reimagining Agent History Via Optical Self-compression (2026) • No Venue
  Feng et al.
• Endless Terminals: Scaling RL Environments For Terminal Agents (2026) • No Venue
  Gandhi et al.
• Thinking With Map: Reinforced Parallel Map-augmented Agent For Geolocalization (2026) • No Venue
  Ji et al.
• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
• Toolprmbench: Evaluating And Advancing Process Reward Models For Tool-using Agents (2026) • No Venue
  Li et al.
• Agencybench: Benchmarking The Frontiers Of Autonomous Agents In 1m-token Real-world Contexts (2026) • No Venue
  Li et al.
• Agentic-r: Learning To Retrieve For Agentic Search (2026) • No Venue
  Liu et al.
• Agentdog: A Diagnostic Guardrail Framework For AI Agent Safety And Security (2026) • No Venue
  Liu et al.
• BAPO: Boundary-aware Policy Optimization For Reliable Agentic Search (2026) • No Venue
  Liu et al.
• Scaling Embeddings Outperforms Scaling Experts In Language Models (2026) • No Venue
  Liu et al.
• Numina-lean-agent: An Open And General Agentic Reasoning System For Formal Mathematics (2026) • No Venue
  Liu et al.
• Watching, Reasoning, And Searching: A Video Deep Research Benchmark On Open Web For Agentic Video Reasoning (2026) • No Venue
  Liu et al.
• The Script Is All You Need: An Agentic Framework For Long-horizon Dialogue-to-cinematic Video Generation (2026) • No Venue
  Mu et al.
• Memobrain: Executive Memory As An Agentic Brain For Reasoning (2026) • No Venue
  Hongjin Qian, Zhao Cao, Zheng Liu
• Agentic Very Long Video Understanding (2026) • No Venue
  Rege et al.
• Aligning Agentic World Models Via Knowledgeable Experience Learning (2026) • No Venue
  Ren et al.
• World Craft: Agentic Framework To Create Visualizable Worlds Via Text (2026) • No Venue
  Sun et al.
• Longcat-flash-thinking-2601 Technical Report (2026) • No Venue
  Team et al.
• ASTRA: Automated Synthesis Of Agentic Trajectories And Reinforcement Arenas (2026) • No Venue
  Tian et al.
• Deepresearcheval: An Automated Framework For Deep Research Task Construction And Agentic Evaluation (2026) • No Venue
  Wang et al.
• Language-based Trial And Error Falls Behind In The Era Of Experience (2026) • No Venue
  Wang et al.
• Agentic Reasoning For Large Language Models (2026) • No Venue
  Wei et al.
• Spark: Strategic Policy-aware Exploration Via Dynamic Branching For Long-horizon Agentic Learning (2026) • No Venue
  Wu et al.
• Mimo-v2-flash Technical Report (2026) • No Venue
  Xiao et al.
• Unlocking Implicit Experience: Synthesizing Tool-use Trajectories From Text (2026) • No Venue
  Xu et al.
• The Confidence Dichotomy: Analyzing And Mitigating Miscalibration In Tool-use Agents (2026) • No Venue
  Xuan et al.
• Toward Efficient Agents: Memory, Tool Learning, And Planning (2026) • No Venue
  Yang et al.
• Abc-bench: Benchmarking Agentic Backend Coding In Real-world Development (2026) • No Venue
  Yang et al.
• MAI-UI Technical Report: Real-world Centric Foundation GUI Agents (2025) • No Venue
  Zhou et al.
• Feature4x: Bridging Any Monocular Video To 4D Agentic AI With Versatile Gaussian Feature Fields (2025) • No Venue
  Zhou et al.
• Pyvision: Agentic Vision With Dynamic Tooling (2025) • No Venue
  Zhao et al.
• Stronger Together: On-policy Reinforcement Learning For Collaborative Llms (2025) • No Venue
  Zhao et al.
• VLA^2: Empowering Vision-language-action Models With An Agentic Framework For Unseen Concept Manipulation (2025) • No Venue
  Zhao et al.
• End-to-end Agentic RAG System Training For Traceable Diagnostic Reasoning (2025) • No Venue
  Zheng et al.
• 4kagent: Agentic Any Image To 4K Super-resolution (2025) • No Venue
  Zuo et al.
• Agentfold: Long-horizon Web Agents With Proactive Context Management (2025) • No Venue
  Ye et al.
• Aworld: Orchestrating The Training Recipe For Agentic AI (2025) • No Venue
  Yu et al.
• Demystifying Reinforcement Learning In Agentic Reasoning (2025) • No Venue
  Yu et al.
• QUASAR: Quantum Assembly Code Generation Using Tool-augmented Llms Via Agentic RL (2025) • No Venue
  Yu et al.
• Agent-r: Training Language Model Agents To Reflect Via Iterative Self-training (2025) • No Venue
  Yuan et al.
• Videodeepresearch: Long Video Understanding With Agentic Tool Using (2025) • No Venue
  Yuan et al.
• Agentic Jigsaw Interaction Learning For Enhancing Visual Perception And Reasoning In Vision-language Models (2025) • No Venue
  Zeng et al.
• A4-agent: An Agentic Framework For Zero-shot Affordance Reasoning (2025) • No Venue
  Zhang et al.
• Agent Models: Internalizing Chain-of-action Generation Into Reasoning Models (2025) • No Venue
  Zhang et al.
• Agentic Design Of Compositional Machines (2025) • No Venue
  Wenqian Zhang, Weiyang Liu, Zhen Liu
• El Agente: An Autonomous Agent For Quantum Chemistry (2025) • Matter • 15 citations
  Zou et al.
• Deepanalyze: Agentic Large Language Models For Autonomous Data Science (2025) • No Venue
  Zhang et al.
• Complex Logical Instruction Generation (2025) • No Venue
  Zhang et al.
• Interactive Training: Feedback-driven Neural Network Optimization (2025) • No Venue
  Wentao Zhang, Yang Young Lu, Yuntian Deng
• Memory As Action: Autonomous Context Curation For Long-horizon Agentic Tasks (2025) • No Venue
  Zhang et al.
• MARS: A Multi-agent Framework Incorporating Socratic Guidance For Automated Prompt Optimization (2025) • No Venue
  Zhang et al.
• Memevolve: Meta-evolution Of Agent Memory Systems (2025) • No Venue
  Zhang et al.
• Mlrc-bench: Can Language Agents Solve Machine Learning Research Challenges? (2025) • No Venue
  Zhang et al.
• Skywork-r1v4: Toward Agentic Multimodal Intelligence Through Interleaved Thinking With Images And Deepresearch (2025) • No Venue
  Zhang et al.
• Swarmagentic: Towards Fully Automated Agentic System Generation Via Swarm Intelligence (2025) • No Venue
  Zhang et al.
• UFO^3: Weaving The Digital Agent Galaxy (2025) • No Venue
  Zhang et al.
• Deepseek-r1: Incentivizing Reasoning Capability In Llms Via Reinforcement Learning (2025) • No Venue
  Deepseek-Ai et al.
• Nemotron 3 Nano: Open, Efficient Mixture-of-experts Hybrid Mamba-transformer Model For Agentic Reasoning (2025) • No Venue
  Nvidia et al.
• Self-improving LLM Agents At Test-time (2025) • No Venue
  Acikgoz et al.
• Flashadventure: A Benchmark For GUI Agents Solving Full Story Arcs In Diverse Adventure Games (2025) • No Venue
  Ahn et al.
• Fara-7b: An Efficient Agentic Model For Computer Use (2025) • No Venue
  Awadallah et al.
• Swe-rebench: An Automated Pipeline For Task Collection And Decontaminated Evaluation Of Software Engineering Agents (2025) • No Venue
  Badertdinov et al.
• Guardians Of The Agentic System: Preventing Many Shots Jailbreak With Agentic System (2025) • No Venue
  Barua et al.
• Qwen3-vl Technical Report (2025) • No Venue
  Bai et al.
• Magentic Marketplace: An Open-source Environment For Studying Agentic Markets (2025) • No Venue
  Bansal et al.
• Universal Deep Research: Bring Your Own Model And Strategy (2025) • No Venue
  Peter Belcak, Pavlo Molchanov
• Small Language Models Are The Future Of Agentic AI (2025) • No Venue
  Belcak et al.
• Agentic Learner With Grow-and-refine Multimodal Semantic Memory (2025) • No Venue
  Bo et al.
• Enhancing Vision-language Model Training With Reinforcement Learning In Synthetic Worlds For Real-world Success (2025) • No Venue
  Bredis et al.
• Video Action Differencing (2025) • No Venue
  Burgess et al.
• FLEX: Continuous Agent Evolution Via Forward Learning From Experience (2025) • No Venue
  Cai et al.
• Smartsnap: Proactive Evidence Seeking For Self-verifying Agents (2025) • No Venue
  Cai et al.
• Training-free Group Relative Policy Optimization (2025) • No Venue
  Cai et al.
• Sql-of-thought: Multi-agentic Text-to-sql With Guided Error Correction (2025) • No Venue
  Saumya Chaturvedi, Aman Chadha, Laurent Bindschaedler
• A^2FM: An Adaptive Agent Foundation Model For Tool-aware Hybrid Reasoning (2025) • No Venue
  Chen et al.
• Agentfrontier: Expanding The Capability Frontier Of LLM Agents With Zpd-guided Data Synthesis (2025) • No Venue
  Chen et al.
• Coda: Coding LM Via Diffusion Adaptation (2025) • No Venue
  Chen et al.
• G1: Bootstrapping Perception And Reasoning Abilities Of Vision-language Model Via Reinforcement Learning (2025) • No Venue
  Chen et al.
• Geometrically-constrained Agent For Spatial Reasoning (2025) • No Venue
  Chen et al.
• Mindwatcher: Toward Smarter Multimodal Tool-integrated Reasoning (2025) • No Venue
  Chen et al.
• P1: Mastering Physics Olympiads With Reinforcement Learning (2025) • No Venue
  Chen et al.
• Seed-prover: Deep And Broad Reasoning For Automated Theorem Proving (2025) • No Venue
  Chen et al.
• Spacetools: Tool-augmented Spatial Reasoning Via Double Interactive RL (2025) • No Venue
  Chen et al.
• Shieldagent: Shielding Agents Via Verifiable Safety Policy Reasoning (2025) • No Venue
  Zhaorun Chen, Mintong Kang, Bo Li
• Ui-ins: Enhancing GUI Grounding With Multi-perspective Instruction-as-reasoning (2025) • No Venue
  Chen et al.
• Stockbench: Can LLM Agents Trade Stocks Profitably In Real-world Markets? (2025) • No Venue
  Chen et al.
• DEER: Draft With Diffusion, Verify With Autoregressive Models (2025) • No Venue
  Cheng et al.
• The Era Of Agentic Organization: Learning To Organize With Language Models (2025) • No Venue
  Chi et al.
• Sensenova-mars: Empowering Multimodal Agentic Reasoning And Search Via Reinforcement Learning (2025) • No Venue
  Chng et al.
• The Station: An Open-world Environment For Ai-driven Discovery (2025) • No Venue
  Stephen Chung, Wenyu Du
• Deepresearchgym: A Free, Transparent, And Reproducible Evaluation Sandbox For Deep Research (2025) • No Venue
  Coelho et al.
• Does It Tie Out? Towards Autonomous Legal Agents In Venture Capital (2025) • No Venue
  Colombo et al.
• Gemini 2.5: Pushing The Frontier With Advanced Reasoning, Multimodality, Long Context, And Next Generation Agentic Capabilities (2025) • No Venue
  Comanici et al.
• The Danger Of Overthinking: Examining The Reasoning-action Dilemma In Agentic Tasks (2025) • No Venue
  Cuadron et al.
• Defeating Prompt Injections By Design (2025) • No Venue
  Debenedetti et al.
• Supervised Reinforcement Learning: From Expert Trajectories To Step-wise Reasoning (2025) • No Venue
  Deng et al.
• Toolscope: An Agentic Framework For Vision-guided And Long-horizon Tool Use (2025) • No Venue
  Mengjie Deng, Guanting Dong, Zhicheng Dou
• Weboperator: Action-aware Tree Search For Autonomous Agents In Web Environment (2025) • No Venue
  Dihan et al.
• Arm-thinker: Reinforcing Multimodal Generative Reward Models With Agentic Tool Use And Visual Reasoning (2025) • No Venue
  Ding et al.
• Nl2repo-bench: Towards Long-horizon Repository Generation Evaluation Of Coding Agents (2025) • No Venue
  Ding et al.
• Agentic Reinforced Policy Optimization (2025) • No Venue
  Dong et al.
• Automating Benchmark Design (2025) • No Venue
  Dsouza et al.
• SSRL: Self-search Reinforcement Learning (2025) • No Venue
  Fan et al.
• Synworld: Virtual Scenario Synthesis For Agentic Action Knowledge Refinement (2025) • No Venue
  Fang et al.
• Towards General Agentic Intelligence Via Environment Scaling (2025) • No Venue
  Fang et al.
• Grounding Computer Use Agents On Human Demonstrations (2025) • No Venue
  Feizi et al.
• Beyond Ten Turns: Unlocking Long-horizon Agentic Search With Large-scale Asynchronous RL (2025) • No Venue
  Gao et al.
• A Survey Of Self-evolving Agents: On Path To Artificial Super Intelligence (2025) • No Venue
  Gao et al.
• Agentscope 1.0: A Developer-centric Framework For Building Agentic Applications (2025) • No Venue
  Gao et al.
• Txagent: An AI Agent For Therapeutic Reasoning Across A Universe Of Tools (2025) • No Venue
  Gao et al.
• Bourbaki: Self-generated And Goal-conditioned Mdps For Theorem Proving (2025) • No Venue
  Zimmer et al.
• Training Long-context, Multi-turn Software Engineering Agents With Reinforcement Learning (2025) • No Venue
  Golubev et al.
• Mind2web 2: Evaluating Agentic Search With Agent-as-a-judge (2025) • No Venue
  Gou et al.
• Agentsnet: Coordination And Collaborative Reasoning In Multi-agent Llms (2025) • No Venue
  Grötschla et al.
• Textarena (2025) • No Venue
  Guertler et al.
• Mcp-agentbench: Evaluating Real-world Language Agent Performance With Mcp-mediated Tools (2025) • No Venue
  Guo et al.
• Costaast: Cost-sensitive Toolpath Agent For Multi-turn Image Editing (2025) • No Venue
  Gupta et al.
• Fasta^*: Fast-slow Toolpath Agent With Subroutine Mining For Efficient Multi-turn Image Editing (2025) • No Venue
  Gupta et al.
• Deep Researcher With Test-time Diffusion (2025) • No Venue
  Han et al.
• Deepeyesv2: Toward Agentic Multimodal Model (2025) • No Venue
  Hong et al.
• Paperdebugger: A Plugin-based Multi-agent System For In-editor Academic Writing, Review, And Editing (2025) • No Venue
  Hou et al.
• A Survey Of Scientific Large Language Models: From Data Foundations To Agent Frontiers (2025) • No Venue
  Hu et al.
• Memory In The Age Of AI Agents (2025) • No Venue
  Hu et al.
• Step-deepresearch Technical Report (2025) • No Venue
  Hu et al.
• Scaling Latent Reasoning Via Looped Language Models (2025) • No Venue
  Zhu et al.
• Building A Foundational Guardrail For General Agentic Systems Via Synthetic Data (2025) • No Venue
  Huang et al.
• Unmasking Digital Falsehoods: A Comparative Analysis Of Llm-based Misinformation Detection Strategies (2025) • 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE) • 10 citations
  Huang et al.
• BIRD-INTERACT: Re-imagining Text-to-sql Evaluation For Large Language Models Via Lens Of Dynamic Interactions (2025) • No Venue
  Huo et al.
• Adaptive Multi-agent Response Refinement In Conversational Systems (2025) • No Venue
  Jeong et al.
• Tree Search For LLM Agent Reinforcement Learning (2025) • No Venue
  Ji et al.
• Adaptation Of Agentic AI (2025) • No Venue
  Jiang et al.
• Screencoder: Advancing Visual-to-code Generation For Front-end Automation Via Modular Multimodal Agents (2025) • No Venue
  Jiang et al.
• Verltool: Towards Holistic Agentic Reinforcement Learning With Tool Use (2025) • No Venue
  Jiang et al.
• Hephaestus: Improving Fundamental Agent Capabilities Of Large Language Models Through Continual Pre-training (2025) • No Venue
  Zhuang et al.
• ACON: Optimizing Context Compression For Long-horizon LLM Agents (2025) • No Venue
  Kang et al.
• Theoremexplainagent: Towards Multimodal Explanations For LLM Theorem Understanding (2025) • No Venue
  Ku et al.
• Towards Safety Reasoning In Llms: Ai-agentic Deliberation For Policy-embedded Cot Data Creation (2025) • No Venue
  Kumarage et al.
• Exploring Expert Failures Improves LLM Agent Tuning (2025) • No Venue
  Lan et al.
• Offtopiceval: When Large Language Models Enter The Wrong Chat, Almost Always! (2025) • No Venue
  Lei et al.
• Infantagent-next: A Multimodal Generalist Agent For Automated Computer Interaction (2025) • No Venue
  Lei et al.
• Chain-of-agents: End-to-end Agent Foundation Models Via Multi-agent Distillation And Agentic RL (2025) • No Venue
  Li et al.
• Deepcode: Open Agentic Coding (2025) • No Venue
  Li et al.
• In-the-flow Agentic System Optimization For Effective Planning And Tool Use (2025) • No Venue
  Li et al.
• Relook: Vision-grounded RL With A Multimodal LLM Critic For Agentic Web Coding (2025) • No Venue
  Li et al.
• Perception, Reason, Think, And Plan: A Survey On Large Multimodal Reasoning Models (2025) • No Venue
  Li et al.
• Where LLM Agents Fail And How They Can Learn From Failures (2025) • No Venue
  Zhu et al.
• Swe-debate: Competitive Multi-agent Debate For Software Issue Resolution (2025) • No Venue
  Li et al.
• Sculptor: Empowering Llms With Cognitive Agency Via Active Context Management (2025) • No Venue
  Li et al.
• Search-o1: Agentic Search-enhanced Large Reasoning Models (2025) • No Venue
  Li et al.
• Swarmsys: Decentralized Swarm-inspired Agents For Scalable And Adaptive Reasoning (2025) • No Venue
  Li et al.
• Tir-bench: A Comprehensive Benchmark For Agentic Thinking-with-images Reasoning (2025) • No Venue
  Li et al.
• Longvt: Incentivizing "thinking With Long Videos" Via Native Tool Calling (2025) • No Venue
  Yang et al.
• Captionqa: Is Your Caption As Useful As The Image Itself? (2025) • No Venue
  Yang et al.
• Learning On The Job: An Experience-driven Self-evolving Agent For Long-horizon Tasks (2025) • No Venue
  Yang et al.
• Magma: A Foundation Model For Multimodal AI Agents (2025) • No Venue
  Yang et al.
• Twinmarket: A Scalable Behavioral And Social Simulation For Financial Markets (2025) • No Venue
  Yang et al.
• Sceneweaver: All-in-one 3D Scene Synthesis With An Extensible And Self-reflective Agent (2025) • No Venue
  Yang et al.
• LIMI: Less Is More For Agency (2025) • No Venue
  Xiao et al.
• Ui-genie: A Self-improving Approach For Iteratively Boosting Mllm-based Mobile GUI Agents (2025) • No Venue
  Xiao et al.
• Spatialtree: How Spatial Abilities Branch Out In Mllms (2025) • No Venue
  Xiao et al.
• Aworld: Dynamic Multi-agent System With Stable Maneuvering For Robust GAIA Problem Solving (2025) • No Venue
  Xie et al.
• Scaling Computer-use Grounding Via User Interface Decomposition And Synthesis (2025) • No Venue
  Xie et al.
• Flag-trader: Fusion Llm-agent With Gradient-based Reinforcement Learning For Financial Trading (2025) • No Venue
  Xiong et al.
• Deepphy: Benchmarking Agentic Vlms On Physical Reasoning (2025) • No Venue
  Xu et al.
• Funreason-mt Technical Report: Overcoming The Complexity Barrier In Multi-turn Function Calling (2025) • No Venue
  Xu et al.
• Ravine: Reality-aligned Evaluation For Agentic Search (2025) • No Venue
  Xu et al.
• Streamingvlm: Real-time Understanding For Infinite Video Streams (2025) • No Venue
  Xu et al.
• TOUCAN: Synthesizing 1.5M Tool-agentic Data From Real-world MCP Environments (2025) • No Venue
  Xu et al.
• Webvia: A Web-based Vision-language Agentic Framework For Interactive And Verifiable Ui-to-code Generation (2025) • No Venue
  Xu et al.
• The AI Scientist-v2: Workshop-level Automated Scientific Discovery Via Agentic Tree Search (2025) • No Venue
  Yamada et al.
• General Agentic Memory Via Deep Research (2025) • No Venue
  Yan et al.
• Efficient Agents: Building Effective Agents While Reducing Cost (2025) • No Venue
  Wang et al.
• Co-evolving LLM Coder And Unit Tester Via Reinforcement Learning (2025) • No Venue
  Wang et al.
• Internvl3.5: Advancing Open-source Multimodal Models In Versatility, Reasoning, And Efficiency (2025) • No Venue
  Wang et al.
• Game-tars: Pretrained Foundation Models For Scalable Generalist Multimodal Game Agents (2025) • No Venue
  Wang et al.
• Geovista: Web-augmented Agentic Visual Reasoning For Geolocalization (2025) • No Venue
  Wang et al.
• Let It Flow: Agentic Crafting On Rock And Roll, Building The ROME Model Within An Open Agentic Learning Ecosystem (2025) • No Venue
  Wang et al.
• Mobile-agent-v: Learning Mobile Device Operation Through Video-guided Multi-agent Collaboration (2025) • No Venue
  Wang et al.
• Socratic-zero : Bootstrapping Reasoning Via Data-free Agent Co-evolution (2025) • No Venue
  Wang et al.
• UI-TARS-2 Technical Report: Advancing GUI Agent With Multi-turn Reinforcement Learning (2025) • No Venue
  Wang et al.
• Ai-native Memory 2.0: Second Me (2025) • No Venue
  Wei et al.
• From AI For Science To Agentic Science: A Survey On Autonomous Scientific Discovery (2025) • No Venue
  Wei et al.
• Real-time Reasoning Agents In Evolving Environments (2025) • No Venue
  Wen et al.
• Finevision: Open Data Is All You Need (2025) • No Venue
  Wiedmann et al.
• Widesearch: Benchmarking Agentic Broad Info-seeking (2025) • No Venue
  Wong et al.
• Grounded Persuasive Language Generation For Automated Marketing (2025) • No Venue
  Wu et al.
• Native Parallel Reasoner: Reasoning In Parallelism Via Self-distilled Reinforcement Learning (2025) • No Venue
  Wu et al.
• Webdancer: Towards Autonomous Information Seeking Agency (2025) • No Venue
  Wu et al.
• Resum: Unlocking Long-horizon Search Intelligence Via Context Summarization (2025) • No Venue
  Wu et al.
• Sfr-deepresearch: Towards Effective Reinforcement Learning For Autonomously Reasoning Single Agents (2025) • No Venue
  Nguyen et al.
• Automind: Adaptive Knowledgeable Agent For Automated Data Science (2025) • No Venue
  Ou et al.
• Agentic Reward Modeling: Integrating Human Preferences With Verifiable Correctness Signals For Reliable Reward Systems (2025) • No Venue
  Peng et al.
• SWE-QA: Can Language Models Answer Repository-level Code Questions? (2025) • No Venue
  Peng et al.
• Enterprise Deep Research: Steerable Multi-agent Deep Research For Enterprise Analytics (2025) • No Venue
  Prabhakar et al.
• Apigen-mt: Agentic Pipeline For Multi-turn Data Generation Via Simulated Agent-human Interplay (2025) • No Venue
  Prabhakar et al.
• Userrl: Training Interactive User-centric Agent Via Reinforcement Learning (2025) • No Venue
  Qian et al.
• Agentic Knowledgeable Self-awareness (2025) • No Venue
  Qiao et al.
• Scaling Generalist Data-analytic Agents (2025) • No Venue
  Qiao et al.
• Learn The Ropes, Then Trust The Wins: Self-imitation With Progressive Exploration For Agentic Reinforcement Learning (2025) • No Venue
  Qin et al.
• Thinking Beyond Tokens: From Brain-inspired Intelligence To Cognitive Foundations For Artificial General Intelligence And Its Societal Impact (2025) • No Venue
  Qureshi et al.
• Simworld: An Open-ended Realistic Simulator For Autonomous Agents In Physical And Social Worlds (2025) • No Venue
  Ren et al.
• EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning And Reasoning Modes (2025) • No Venue
  Research et al.
• AI Agents Vs. Agentic AI: A Conceptual Taxonomy, Applications And Challenge (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Vibe Coding Vs. Agentic Coding: Fundamentals And Practical Implications Of Agentic AI (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Vision-language-action Models: Concepts, Progress, Applications And Challenges (2025) • No Venue
  Sapkota et al.
• Agentrxiv: Towards Collaborative Autonomous Research (2025) • No Venue
  Samuel Schmidgall, Michael Moor
• Llms Are Greedy Agents: Effects Of RL Fine-tuning On Decision-making Abilities (2025) • No Venue
  Schmied et al.
• Medgemma Technical Report (2025) • No Venue
  Sellergren et al.
• Rstar2-agent: Agentic Reasoning Technical Report (2025) • No Venue
  Shang et al.
• Deep Research: A Systematic Survey (2025) • No Venue
  Shi et al.
• Taskcraft: Automated Generation Of Agentic Tasks (2025) • No Venue
  Shi et al.
• Fathom-deepresearch: Unlocking Long Horizon Information Retrieval And Synthesis For Slms (2025) • No Venue
  Shreyas Singh, Kunal Singh, Pradeep Moturi
• Agentic Reasoning And Tool Integration For Llms Via Reinforcement Learning (2025) • No Venue
  Singh et al.
• MADD: Multi-agent Drug Discovery Orchestra (2025) • No Venue
  Solovev et al.
• Agent Data Protocol: Unifying Datasets For Diverse, Effective Fine-tuning Of LLM Agents (2025) • No Venue
  Song et al.
• Toolorchestra: Elevating Intelligence Via Efficient Model And Tool Orchestration (2025) • No Venue
  Su et al.
• Scaling Agents Via Continual Pre-training (2025) • No Venue
  Su et al.
• Learn-by-interact: A Data-centric Framework For Self-adaptive Agents In Realistic Environments (2025) • No Venue
  Su et al.
• Seagent: Self-evolving Computer Use Agent With Autonomous Learning From Experience (2025) • No Venue
  Sun et al.
• Scienceboard: Evaluating Multimodal Autonomous Agents In Realistic Scientific Workflows (2025) • No Venue
  Sun et al.
• INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning (2025) • No Venue
  Team et al.
• Hiersearch: A Hierarchical Enterprise Deep Search Framework Integrating Local And Web Searches (2025) • No Venue
  Tan et al.
• Agent KB: Leveraging Cross-domain Experience For Agentic Problem Solving (2025) • No Venue
  Tang et al.
• Metachain: A Fully-automated And Zero-code Framework For LLM Agents (2025) • No Venue
  Jiabin Tang, Tianyu Fan, Chao Huang
• Inferix: A Block-diffusion Based Next-generation Inference Engine For World Simulation (2025) • No Venue
  Team et al.
• Webshaper: Agentically Data Synthesizing Via Information-seeking Formalization (2025) • No Venue
  Tao et al.
• GLM-4.5: Agentic, Reasoning, And Coding (ARC) Foundation Models (2025) • No Venue
  Team et al.
• SIMA 2: A Generalist Embodied Agent For Virtual Worlds (2025) • No Venue
  Team et al.
• PAN: A World Model For General, Interactable, And Long-horizon World Simulation (2025) • No Venue
  Team et al.
• Nex-n1: Agentic Models Trained Via A Unified Ecosystem For Large-scale Environment Construction (2025) • No Venue
  Team et al.
• Tongyi Deepresearch Technical Report (2025) • No Venue
  Team et al.
• Open Multimodal Retrieval-augmented Factual Image Generation (2025) • No Venue
  Tian et al.
• Turn-ppo: Turn-level Advantage Estimation With PPO For Improved Multi-turn RL In Agentic Llms (2025) • No Venue
  Li et al.
• Websailor: Navigating Super-human Reasoning For Web Agent (2025) • No Venue
  Li et al.
• AI Meets Brain: Memory Systems From Cognitive Neuroscience To Autonomous Agents (2025) • No Venue
  Liang et al.
• Dataflow: An Llm-driven Framework For Unified Data Preparation And Workflow Automation In The Era Of Data-centric AI (2025) • No Venue
  Liang et al.
• QLASS: Boosting Language Agent Inference Via Q-guided Stepwise Search (2025) • No Venue
  Lin et al.
• Sleep-time Compute: Beyond Inference Scaling At Test-time (2025) • No Venue
  Lin et al.
• Vcode: A Multimodal Coding Benchmark With SVG As Symbolic Visual Representation (2025) • No Venue
  Lin et al.
• Budget-aware Tool-use Enables Effective Agent Scaling (2025) • No Venue
  Liu et al.
• Docreward: A Document Reward Model For Structuring And Stylizing (2025) • No Venue
  Liu et al.
• GEM: A Gym For Agentic Llms (2025) • No Venue
  Liu et al.
• Multiagentbench: Evaluating The Collaboration And Competition Of LLM Agents (2025) • No Venue
  Zhu et al.
• Marsrl: Advancing Multi-agent Reasoning System Via Reinforcement Learning With Agentic Pipeline Parallelism (2025) • No Venue
  Liu et al.
• MOSAIC: Modeling Social AI For Content Dissemination And Regulation In Multi-agent Simulations (2025) • No Venue
  Liu et al.
• Pc-agent: A Hierarchical Multi-agent Collaboration Framework For Complex Task Automation On PC (2025) • No Venue
  Liu et al.
• Videomind: A Chain-of-lora Agent For Long Video Reasoning (2025) • No Venue
  Liu et al.
• Oagents: An Empirical Study Of Building Effective Agents (2025) • No Venue
  Zhu et al.
• Webexplorer: Explore And Evolve For Training Long-horizon Web Agents (2025) • No Venue
  Liu et al.
• Octotools: An Agentic Framework With Extensible Tools For Complex Reasoning (2025) • No Venue
  Lu et al.
• Search Self-play: Pushing The Frontier Of Agent Capability Without Supervision (2025) • No Venue
  Lu et al.
• Youtu-llm: Unlocking The Native Agentic Potential For Lightweight Large Language Models (2025) • No Venue
  Lu et al.
• Autellix: An Efficient Serving Engine For LLM Agents As General Programs (2025) • No Venue
  Luo et al.
• Ultrahorizon: Benchmarking Agent Capabilities In Ultra Long-horizon Scenarios (2025) • No Venue
  Luo et al.
• Pixelworld: Towards Perceiving Everything As Pixels (2025) • No Venue
  Zhiheng Lyu, Xueguang Ma, Wenhu Chen
• Build The Web For Agents, Not Agents For The Web (2025) • No Venue
  Lù et al.
• Dover: Intervention-driven Auto Debugging For LLM Multi-agent Systems (2025) • No Venue
  Ma et al.
• Solving A Million-step LLM Task With Zero Errors (2025) • No Venue
  Meyerson et al.
• Paper2agent: Reimagining Research Papers As Interactive And Reliable AI Agents (2025) • No Venue
  Miao et al.
• How Can Input Reformulation Improve Tool Usage Accuracy In A Complex Dynamic Environment? A Study On Τ-bench (2025) • No Venue
  Mishra et al.
• Livemcpbench: Can Agents Navigate An Ocean Of MCP Tools? (2025) • No Venue
  Mo et al.
• Sibyl: Simple Yet Effective Agent Framework For Complex Real-world Reasoning (2024) • No Venue
  Wang et al.
• Mobile-agent-v2: Mobile Device Operation Assistant With Effective Navigation Via Multi-agent Collaboration (2024) • No Venue
  Wang et al.
• LAVE: Llm-powered Agent Assistance And Language Augmentation For Video Editing (2024) • No Venue
  Wang et al.
• Divide And Conquer: Language Models Can Plan And Self-correct For Compositional Text-to-image Generation (2024) • No Venue
  Wang et al.
• Androidlab: Training And Systematic Benchmarking Of Android Autonomous Agents (2024) • No Venue
  Xu et al.
• BALROG: Benchmarking Agentic LLM And VLM Reasoning On Games (2024) • No Venue
  Paglieri et al.
• Training Software Engineering Agents And Verifiers With Swe-gym (2024) • No Venue
  Pan et al.
• Navigating The Unknown: A Chat-based Collaborative Interface For Personalized Exploratory Tasks (2024) • No Venue
  Peng et al.
• Hyperagent: Generalist Software Engineering Agents To Solve Coding Tasks At Scale (2024) • No Venue
  Huy Nhat Phan, Phong X. Nguyen, Nghi D. Q. Bui
• Webrl: Training LLM Web Agents Via Self-evolving Online Curriculum Reinforcement Learning (2024) • No Venue
  Qi et al.
• Benchmarking Agentic Workflow Generation (2024) • No Venue
  Qiao et al.
• A Review Of Large Language Models And Autonomous Agents In Chemistry (2024) • Chemical Science • 113 citations
  Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White
• Revealing The Barriers Of Language Agents In Planning (2024) • No Venue
  Xie et al.
• Hackphyr: A Local Fine-tuned LLM Agent For Network Security Environments (2024) • No Venue
  Maria Rigaki, Carlos Catania, Sebastian Garcia
• Observational Scaling Laws And The Predictability Of Language Model Performance (2024) • No Venue
  Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
• Osworld: Benchmarking Multimodal Agents For Open-ended Tasks In Real Computer Environments (2024) • No Venue
  Xie et al.
• Sketchagent: Language-driven Sequential Sketch Generation (2024) • No Venue
  Vinker et al.
• Appworld: A Controllable World Of Apps And People For Benchmarking Interactive Coding Agents (2024) • No Venue
  Trivedi et al.
• Agentgym: Evolving Large Language Model-based Agents Across Diverse Environments (2024) • No Venue
  Xi et al.
• Matplotagent: Method And Evaluation For Llm-based Agentic Scientific Data Visualization (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Yang et al.
• Os-copilot: Towards Generalist Computer Agents With Self-improvement (2024) • No Venue
  Wu et al.
• Scaling Instructable Agents Across Many Simulated Worlds (2024) • No Venue
  Team et al.
• Ehragent: Code Empowers Large Language Models For Few-shot Complex Tabular Reasoning On Electronic Health Records (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Shi et al.
• Large Language Models For Cyber Security: A Systematic Literature Review (2024) • ACM Transactions on Software Engineering and Methodology • 28 citations
  Xu et al.
• Granite-function Calling Model: Introducing Function Calling Abilities Via Multi-task Learning Of Granular Tasks (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track • 12 citations
  Abdelaziz et al.
• Agent S: An Open Agentic Framework That Uses Computers Like A Human (2024) • No Venue
  Agashe et al.
• Arigraph: Learning Knowledge Graph World Models With Episodic Memory For LLM Agents (2024) • No Venue
  Anokhin et al.
• Longagent: Scaling Language Models To 128k Context Through Multi-agent Collaboration (2024) • No Venue
  Zhao et al.
• Repairagent: An Autonomous, Llm-based Agent For Program Repair (2024) • 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE) • 36 citations
  Islem Bouzenia, Premkumar Devanbu, Michael Pradel
• X-lora: Mixture Of Low-rank Adapter Experts, A Flexible Framework For Large Language Models With Applications In Protein Mechanics And Molecular Design (2024) • APL Machine Learning • 32 citations
  Eric L. Buehler, Markus J. Buehler
• Genie: Generative Interactive Environments (2024) • No Venue
  Bruce et al.
• Preflexor: Preference-based Recursive Language Modeling For Exploratory Optimization Of Reasoning And Agentic Thinking (2024) • npj Artificial Intelligence • 14 citations
  Markus J. Buehler
• Embodied Understanding Of Driving Scenarios (2024) • Lecture Notes in Computer Science • 12 citations
  Zhou et al.
• Web Agents With World Models: Learning And Leveraging Environment Dynamics In Web Navigation (2024) • No Venue
  Chae et al.
• Usimagent: Large Language Models For Simulating Search Users (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 10 citations
  Zhang et al.
• Simulating Classroom Education With Llm-empowered Agents (2024) • No Venue
  Zhang et al.
• Diversity Empowers Intelligence: Integrating Expertise Of Software Engineering Agents (2024) • No Venue
  Zhang et al.
• Internet Of Agents: Weaving A Web Of Heterogeneous Agents For Collaborative Intelligence (2024) • No Venue
  Chen et al.
• Mindsearch: Mimicking Human Minds Elicits Deep AI Searcher (2024) • No Venue
  Chen et al.
• UFO: A Ui-focused Agent For Windows OS Interaction (2024) • No Venue
  Zhang et al.
• On The Limits Of Agency In Agent-based Models (2024) • No Venue
  Chopra et al.
• Agentohana: Design Unified Data And Training Pipeline For Effective Agent Learning (2024) • No Venue
  Zhang et al.
• An Interactive Agent Foundation Model (2024) • No Venue
  Durante et al.
• Read Anywhere Pointed: Layout-aware GUI Screen Reading With Tree-of-lens Grounding (2024) • No Venue
  Fan et al.
• Large Language Model-based Human-agent Collaboration For Complex Task Solving (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 10 citations
  Feng et al.
• Magentic-one: A Generalist Multi-agent System For Solving Complex Tasks (2024) • Arxiv • 10 citations
  Fourney et al.
• Msi-agent: Incorporating Multi-scale Insight Into Embodied Agents For Superior Planning And Decision-making (2024) • No Venue
  Fu et al.
• Agentscope: A Flexible Yet Robust Multi-agent Platform (2024) • No Venue
  Gao et al.
• Navigating The Digital World As Humans Do: Universal Visual Grounding For GUI Agents (2024) • No Venue
  Gou et al.
• Is Your LLM Secretly A World Model Of The Internet? Model-based Planning For Web Agents (2024) • No Venue
  Gu et al.
• Openwebvoyager: Building Multimodal Web Agents Via Iterative Real-world Exploration, Feedback And Optimization (2024) • No Venue
  He et al.
• Mora: Enabling Generalist Video Generation Via A Multi-agent Framework (2024) • No Venue
  Yuan et al.
• Automated Design Of Agentic Systems (2024) • No Venue
  Shengran Hu, Cong Lu, Jeff Clune
• The Dawn Of GUI Agent: A Preliminary Case Study With Claude 3.5 Computer Use (2024) • No Venue
  Hu et al.
• Genmac: Compositional Text-to-video Generation With Multi-agent Collaboration (2024) • No Venue
  Huang et al.
• Agent-as-a-judge: Evaluate Agents With Agents (2024) • No Venue
  Zhuge et al.
• Researchtown: Simulator Of Human Research Community (2024) • No Venue
  Yu et al.
• Omniact: A Dataset And Benchmark For Enabling Multimodal Generalist Autonomous Agents For Desktop And Web (2024) • No Venue
  Kapoor et al.
• Visiongpt-3d: A Generalized Multimodal Agent For Enhanced 3D Vision Understanding (2024) • No Venue
  Kelly et al.
• Visualwebarena: Evaluating Multimodal Agents On Realistic Visual Web Tasks (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Koh et al.
• Brushedit: All-in-one Image Inpainting And Editing (2024) • No Venue
  Li et al.
• Unbounded: A Generative Infinite Game Of Character Life Simulation (2024) • No Venue
  Li et al.
• MIRAI: Evaluating LLM Agents For Event Forecasting (2024) • No Venue
  Ye et al.
• Autodan-turbo: A Lifelong Agent For Strategy Self-exploration To Jailbreak Llms (2024) • No Venue
  Liu et al.
• Generative World Explorer (2024) • No Venue
  Lu et al.
• Frontier Models Are Capable Of In-context Scheming (2024) • Arxiv • 12 citations
  Meinke et al.
• Agentinstruct: Toward Generative Teaching With Agentic Flows (2024) • No Venue
  Mitra et al.
• MALT: Improving Reasoning With Multi-agent LLM Training (2024) • No Venue
  Motwani et al.
• Recmind: Large Language Model Powered Agent For Recommendation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 46 citations
  Wang et al.
• JARVIS-1: Open-world Multi-task Agents With Memory-augmented Multimodal Language Models (2023) • No Venue
  Wang et al.
• Expel: LLM Agents Are Experiential Learners (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 72 citations
  Zhao et al.
• Chameleon: Plug-and-play Compositional Reasoning With Large Language Models (2023) • Arxiv • 91 citations
  Lu et al.
• LARP: Language-agent Role Play For Open-world Games (2023) • No Venue
  Yan et al.
• GPT-4V In Wonderland: Large Multimodal Models For Zero-shot Smartphone GUI Navigation (2023) • No Venue
  Yan et al.
• LASER: LLM Agent With State-space Exploration For Web Navigation (2023) • No Venue
  Ma et al.
• Improving Knowledge Extraction From Llms For Task Learning Through Agent Analysis (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Kirk et al.
• M3dbench: Let's Instruct Large Models With Multi-modal 3D Prompts (2023) • No Venue
  Li et al.
• Modelscope-agent: Building Your Customizable Agent System With Open-source Large Language Models (2023) • No Venue
  Li et al.
• Sayplan: Grounding Large Language Models Using 3D Scene Graphs For Scalable Task Planning (2023) • No Venue
  Rana et al.
• Saynav: Grounding Large Language Models For Dynamic Planning To Navigation In New Environments (2023) • Proceedings of the International Conference on Automated Planning and Scheduling • 37 citations
  Rajvanshi et al.
• Proagent: From Robotic Process Automation To Agentic Process Automation (2023) • No Venue
  Ye et al.
• Toolchain*: Efficient Action Space Navigation In Large Language Models With A* Search (2023) • No Venue
  Zhuang et al.
• Agentbench: Evaluating Llms As Agents (2023) • No Venue
  Liu et al.
• BOLAA: Benchmarking And Orchestrating Llm-augmented Autonomous Agents (2023) • No Venue
  Liu et al.
• Adapt: As-needed Decomposition And Planning With Language Models (2023) • No Venue
  Prasad et al.
• Webarena: A Realistic Web Environment For Building Autonomous Agents (2023) • No Venue
  Zhou et al.
• Personality Testing Of Large Language Models: Limited Temporal Stability, But Highlighted Prosociality (2023) • Royal Society Open Science • 13 citations
  Bojana Bodroza, Bojana M. Dinic, Ljubisa Bojic
• 3D-GPT: Procedural 3D Modeling With Large Language Models (2023) • No Venue
  Sun et al.
• Egothink: Evaluating First-person Perspective Thinking Capability Of Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Cheng et al.
• Agentcf: Collaborative Learning With Autonomous Language Agents For Recommender Systems (2023) • WWW '24: The ACM Web Conference 2024 • 48 citations
  Zhang et al.
• Chessgpt: Bridging Policy Learning And Language Modeling (2023) • No Venue
  Feng et al.
• Alexa, Play With Robot: Introducing The First Alexa Prize Simbot Challenge On Embodied AI (2023) • No Venue
  Shi et al.
• Hugginggpt: Solving AI Tasks With Chatgpt And Its Friends In Hugging Face (2023) • Arxiv • 264 citations
  Shen et al.
• Chateda: A Large Language Model Powered Autonomous Agent For EDA (2023) • 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD) • 37 citations
  He et al.
• TPTU: Task Planning And Tool Usage Of Large Language Model-based AI Agents (2023) • No Venue
  Ruan et al.
• Technical Report: Large Language Models Can Strategically Deceive Their Users When Put Under Pressure (2023) • No Venue
  Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn
• Agents: An Open-source Framework For Autonomous Language Agents (2023) • No Venue
  Zhou et al.
• Musicagent: An AI Agent For Music Understanding And Generation With Large Language Models (2023) • No Venue
  Yu et al.
• Appagent: Multimodal Agents As Smartphone Users (2023) • No Venue
  Zhang et al.
• Reshaping Robot Trajectories Using Natural Language Commands: A Study Of Multi-modal Data Alignment Using Transformers (2022) • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 35 citations
  Bucker et al.
• One Step At A Time: Long-horizon Vision-and-language Navigation With Milestones (2022) • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Song et al.
• Minedojo: Building Open-ended Embodied Agents With Internet-scale Knowledge (2022) • Arxiv • 59 citations
  Fan et al.
• Keep CALM And Explore: Language Models For Action Generation In Text-based Games (2020) • Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) • 22 citations
  Yao et al.
• Smart: Training Shallow Memory-aware Transformers For Robotic Explainability (2019) • 2020 IEEE International Conference on Robotics and Automation (ICRA) • 25 citations
  Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
• Interactive Fiction Games: A Colossal Adventure (2019) • Proceedings of the AAAI Conference on Artificial Intelligence • 32 citations
  Hausknecht et al.
• Straight To The Facts: Learning Knowledge Base Retrieval For Factual Visual Question Answering (2018) • Lecture Notes in Computer Science • 59 citations
  Medhini Narasimhan, Alexander G. Schwing
• Grounding Language For Transfer In Deep Reinforcement Learning (2017) • Journal of Artificial Intelligence Research • 19 citations
  Karthik Narasimhan, Regina Barzilay, Tommi Jaakkola
• IQA: Visual Question Answering In Interactive Environments (2017) • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 182 citations
  Gordon et al.

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Code 3499 papers #

• AT^2PO: Agentic Turn-based Policy Optimization Via Tree Search (2026) • No Venue
  Zong et al.
• Can We Predict Before Executing Machine Learning Agents? (2026) • No Venue
  Zheng et al.
• Samtok: Representing Any Mask With Two Words (2026) • No Venue
  Zhou et al.
• Infinitevggt: Visual Geometry Grounded Transformer For Endless Streams (2026) • No Venue
  Yuan et al.
• Learning To Discover At Test Time (2026) • No Venue
  Yuksekgonul et al.
• Davinci-dev: Agent-native Mid-training For Software Engineering (2026) • No Venue
  Zeng et al.
• Chaining The Evidence: Robust Reinforcement Learning For Deep Search Agents With Citation-aware Rubric Rewards (2026) • No Venue
  Zhang et al.
• Aacr-bench: Evaluating Automatic Code Review With Holistic Repository-level Context (2026) • No Venue
  Zhang et al.
• Evofsm: Controllable Self-evolution For Deep Research With Finite State Machines (2026) • No Venue
  Zhang et al.
• Deepplanning: Benchmarking Long-horizon Agentic Planning With Verifiable Constraints (2026) • No Venue
  Zhang et al.
• Think3d: Thinking With Space For Spatial Reasoning (2026) • No Venue
  Zhang et al.
• Flashlabs Chroma 1.0: A Real-time End-to-end Spoken Dialogue Model With Personalized Voice Cloning (2026) • No Venue
  Chen et al.
• Babyvision: Visual Reasoning Beyond Language (2026) • No Venue
  Chen et al.
• Futureomni: Evaluating Future Forecasting From Omni-modal Context For Multimodal Llms (2026) • No Venue
  Chen et al.
• Llm-in-sandbox Elicits General Agentic Intelligence (2026) • No Venue
  Cheng et al.
• CGPT: Cluster-guided Partial Tables With Llm-generated Supervision For Table Retrieval (2026) • No Venue
  Chou et al.
• Harder Is Better: Boosting Mathematical Reasoning Via Difficulty-aware GRPO And Multi-aspect Question Reformulation (2026) • No Venue
  Dai et al.
• Stable-diffcoder: Pushing The Frontier Of Code Diffusion Large Language Model (2026) • No Venue
  Fan et al.
• DARC: Decoupled Asymmetric Reasoning Curriculum For LLM Evolution (2026) • No Venue
  Shengda Fan, Xuyan Ye, Yankai Lin
• Bizfinbench.v2: A Unified Dual-mode Bilingual Benchmark For Expert-level Financial Capability Alignment (2026) • No Venue
  Guo et al.
• LTX-2: Efficient Joint Audio-visual Foundation Model (2026) • No Venue
  Hacohen et al.
• Qwen3-tts Technical Report (2026) • No Venue
  Hu et al.
• Reinforcement Learning Via Self-distillation (2026) • No Venue
  Hübotter et al.
• Scalable Power Sampling: Unlocking Efficient, Training-free Reasoning For Llms Via Distribution Sharpening (2026) • No Venue
  Ji et al.
• Medical SAM3: A Foundation Model For Universal Prompt-driven Medical Image Segmentation (2026) • No Venue
  Jiang et al.
• THINKSAFE: Self-generated Safety Alignment For Reasoning Models (2026) • No Venue
  Lee et al.
• Toolprmbench: Evaluating And Advancing Process Reward Models For Tool-using Agents (2026) • No Venue
  Li et al.
• Frankenmotion: Part-level Human Motion Generation And Composition (2026) • No Venue
  Li et al.
• Rubrichub: A Comprehensive And Highly Discriminative Rubric Dataset Via Automated Coarse-to-fine Generation (2026) • No Venue
  Li et al.
• Scientific Image Synthesis: Benchmarking, Methodologies, And Downstream Utility (2026) • No Venue
  Lin et al.
• Simplemem: Efficient Lifelong Memory For LLM Agents (2026) • No Venue
  Liu et al.
• Chartverse: Scaling Chart Reasoning Via Reliable Programmatic Synthesis From Scratch (2026) • No Venue
  Liu et al.
• Numina-lean-agent: An Open And General Agentic Reasoning System For Formal Mathematics (2026) • No Venue
  Liu et al.
• Beyond Static Tools: Test-time Tool Evolution For Scientific Reasoning (2026) • No Venue
  Lu et al.
• Aligning Text, Code, And Vision: A Multi-objective Reinforcement Learning Framework For Text-to-visualization (2026) • No Venue
  Rahman et al.
• SERA: Soft-verified Efficient Repository Agents (2026) • No Venue
  Shen et al.
• Evolving Programmatic Skill Networks (2026) • No Venue
  Haochen Shi, Xingdi Yuan, Bang Liu
• Envscaler: Scaling Tool-interactive Environments For LLM Agent Via Programmatic Synthesis (2026) • No Venue
  Song et al.
• World Craft: Agentic Framework To Create Visualizable Worlds Via Text (2026) • No Venue
  Sun et al.
• Multiplex Thinking: Reasoning Via Token-wise Branch-and-merge (2026) • No Venue
  Tang et al.
• ASTRA: Automated Synthesis Of Agentic Trajectories And Reinforcement Arenas (2026) • No Venue
  Tian et al.
• Swe-pruner: Self-adaptive Context Pruning For Coding Agents (2026) • No Venue
  Wang et al.
• Render-of-thought: Rendering Textual Chain-of-thought As Images For Visual Latent Reasoning (2026) • No Venue
  Wang et al.
• Urban Socio-semantic Segmentation With Vision-language Reasoning (2026) • No Venue
  Wang et al.
• Visgym: Diverse, Customizable, Scalable Environments For Multimodal Agents (2026) • No Venue
  Wang et al.
• Knowme-bench: Benchmarking Person Understanding For Lifelong Digital Companions (2026) • No Venue
  Wu et al.
• A Pragmatic VLA Foundation Model (2026) • No Venue
  Wu et al.
• X-coder: Advancing Competitive Programming With Fully Synthetic Tasks, Solutions, And Tests (2026) • No Venue
  Wu et al.
• Token-level LLM Collaboration Via Fusionroute (2026) • No Venue
  Xiong et al.
• Illusions Of Confidence? Diagnosing LLM Truthfulness Via Neighborhood Consistency (2026) • No Venue
  Xu et al.
• The Confidence Dichotomy: Analyzing And Mitigating Miscalibration In Tool-use Agents (2026) • No Venue
  Xuan et al.
• Distribution-aligned Sequence Distillation For Superior Long-cot Reasoning (2026) • No Venue
  Yan et al.
• TTCS: Test-time Curriculum Synthesis For Self-evolving (2026) • No Venue
  Yang et al.
• Abc-bench: Benchmarking Agentic Backend Coding In Real-world Development (2026) • No Venue
  Yang et al.
• Reasoning Like An Economist: Post-training On Economic Problems Induces Strategic Generalization In Llms (2025) • No Venue
  Zhou et al.
• R1-zero's "aha Moment" In Visual Reasoning On A 2B Non-sft Model (2025) • No Venue
  Zhou et al.
• Megamath: Pushing The Limits Of Open Math Corpora (2025) • No Venue
  Zhou et al.
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• Llmdet: Learning Strong Open-vocabulary Object Detectors Under The Supervision Of Large Language Models (2025) • 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
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• Is Conversational XAI All You Need? Human-ai Decision Making With A Conversational XAI Assistant (2025) • Proceedings of the 30th International Conference on Intelligent User Interfaces • 11 citations
  Gaole He, Nilay Aishwarya, Ujwal Gadiraju
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  Haichuan Hu, Xiaochen Xie, Quanjun Zhang
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  Huayang Li, Tianyu Zhao, Richard Sproat
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• Comparative Analysis Based On Deepseek, Chatgpt, And Google Gemini: Features, Techniques, Performance, Future Prospects (2025) • Systems and Soft Computing • 17 citations
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  Chetwin Low, Weimin Wang, Calder Katyal
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  Gallil Maimon, Avishai Elmakies, Yossi Adi
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  Weijia Mao, Zhenheng Yang, Mike Zheng Shou
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• Wildscore: Benchmarking Mllms In-the-wild Symbolic Music Reasoning (2025) • No Venue
  Mundada et al.
• Low-rank Adapters Meet Neural Architecture Search For LLM Compression (2025) • No Venue
  J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain
• TF1-EN-3M: Three Million Synthetic Moral Fables For Training Small, Open Language Models (2025) • No Venue
  Nadas et al.
• SINQ: Sinkhorn-normalized Quantization For Calibration-free Low-precision LLM Weights (2025) • No Venue
  Müller et al.
• Synthetic Data Generation Using Large Language Models: Advances In Text And Code (2025) • IEEE Access • 13 citations
  Mihai Nadas, Laura Diosan, Andreea Tomescu
• Optimal Sparsity Of Mixture-of-experts Language Models For Reasoning Tasks (2025) • No Venue
  Nakamura et al.
• Smoldocling: An Ultra-compact Vision-language Model For End-to-end Multi-modal Document Conversion (2025) • No Venue
  Nassar et al.
• Rectified Diffusion: Straightness Is Not Your Need In Rectified Flow (2024) • No Venue
  Wang et al.
• Qwen2-vl: Enhancing Vision-language Model's Perception Of The World At Any Resolution (2024) • No Venue
  Wang et al.
• Qihoo-t2x: An Efficiency-focused Diffusion Transformer Via Proxy Tokens For Text-to-any-task (2024) • No Venue
  Wang et al.
• Pre-trained Model Guided Fine-tuning For Zero-shot Adversarial Robustness (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Wang et al.
• Patient-{\psi}: Using Large Language Models To Simulate Patients For Training Mental Health Professionals (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 17 citations
  Wang et al.
• Opendevin: An Open Platform For AI Software Developers As Generalist Agents (2024) • No Venue
  Wang et al.
• Omnieval: An Omnidirectional And Automatic RAG Evaluation Benchmark In Financial Domain (2024) • No Venue
  Wang et al.
• Needle In A Multimodal Haystack (2024) • No Venue
  Wang et al.
• Mtu-bench: A Multi-granularity Tool-use Benchmark For Large Language Models (2024) • No Venue
  Wang et al.
• Model Surgery: Modulating Llm's Behavior Via Simple Parameter Editing (2024) • No Venue
  Wang et al.
• Mobile-agent-v2: Mobile Device Operation Assistant With Effective Navigation Via Multi-agent Collaboration (2024) • No Venue
  Wang et al.
• Mllm-as-a-judge For Image Safety Without Human Labeling (2024) • No Venue
  Wang et al.
• Soloaudio: Target Sound Extraction With Language-oriented Audio Diffusion Transformer (2024) • No Venue
  Wang et al.
• LLM4MSR: An Llm-enhanced Paradigm For Multi-scenario Recommendation (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 15 citations
  Wang et al.
• Llm-seg: Bridging Image Segmentation And Large Language Model Reasoning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 16 citations
  Junchi Wang, Lei Ke
• Learnable Item Tokenization For Generative Recommendation (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 21 citations
  Wang et al.
• Internvideo2: Scaling Video Foundation Models For Multimodal Video Understanding (2024) • No Venue
  Wang et al.
• How Do Your Code Llms Perform? Empowering Code Instruction Tuning With High-quality Data (2024) • No Venue
  Wang et al.
• Helpsteer2-preference: Complementing Ratings With Preferences (2024) • No Venue
  Wang et al.
• GTA: A Benchmark For General Tool Agents (2024) • No Venue
  Wang et al.
• Grutopia: Dream General Robots In A City At Scale (2024) • No Venue
  Wang et al.
• Git: Towards Generalist Vision Transformer Through Universal Language Interface (2024) • No Venue
  Wang et al.
• Farsight: Fostering Responsible AI Awareness During AI Application Prototyping (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 38 citations
  Wang et al.
• Enhancing The Reasoning Ability Of Multimodal Large Language Models Via Mixed Preference Optimization (2024) • No Venue
  Wang et al.
• Emu3: Next-token Prediction Is All You Need (2024) • No Venue
  Wang et al.
• DLF: Disentangled-language-focused Multimodal Sentiment Analysis (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 21 citations
  Wang et al.
• Diffusion Priors For Dynamic View Synthesis From Monocular Videos (2024) • No Venue
  Wang et al.
• Detoxifying Large Language Models Via Knowledge Editing (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Wang et al.
• Defending Llms Against Jailbreaking Attacks Via Backtranslation (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Wang et al.
• Bitstack: Fine-grained Size Control For Compressed Large Language Models In Variable Memory Environments (2024) • No Venue
  Wang et al.
• Backtracing: Retrieving The Cause Of The Query (2024) • No Venue
  Wang et al.
• Av-dit: Efficient Audio-visual Diffusion Transformer For Joint Audio And Video Generation (2024) • No Venue
  Wang et al.
• Animatelcm: Accelerating The Animation Of Personalized Diffusion Models And Adapters With Decoupled Consistency Learning (2024) • No Venue
  Wang et al.
• Adaptable And Reliable Text Classification Using Large Language Models (2024) • 2024 IEEE International Conference on Data Mining Workshops (ICDMW) • 12 citations
  Wang et al.
• Knowagent: Knowledge-augmented Planning For Llm-based Agents (2024) • Findings of the Association for Computational Linguistics: NAACL 2025 • 14 citations
  Zhu et al.
• Can Large Language Models Write Parallel Code? (2024) • HPDC '24: 33rd International Symposium on High-Performance Parallel and Distributed Computing • 22 citations
  Nichols et al.
• Towards Interpretable Hate Speech Detection Using Large Language Model-extracted Rationales (2024) • Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024) • 14 citations
  Nirmal et al.
• Nomic Embed: Training A Reproducible Long Context Text Embedder (2024) • No Venue
  Nussbaum et al.
• Xland-100b: A Large-scale Multi-task Dataset For In-context Reinforcement Learning (2024) • No Venue
  Nikulin et al.
• Can Llms Learn By Teaching? A Preliminary Study (2024) • No Venue
  Ning et al.
• Preserving Multi-modal Capabilities Of Pre-trained Vlms For Improving Vision-linguistic Compositionality (2024) • No Venue
  Oh et al.
• Chatgpt Code Detection: Techniques For Uncovering The Source Of Code (2024) • AI • 11 citations
  Oedingen et al.
• RL For Consistency Models: Faster Reward Guided Text-to-image Generation (2024) • No Venue
  Oertell et al.
• Transformers Are Multi-state Rnns (2024) • No Venue
  Oren et al.
• Large Language Models As Planning Domain Generators (2024) • No Venue
  Oswald et al.
• Insights From Social Shaping Theory: The Appropriation Of Large Language Models In An Undergraduate Programming Course (2024) • ICER 2024: ACM Conference on International Computing Education Research • 24 citations
  Padiyath et al.
• Voicepilot: Harnessing Llms As Speech Interfaces For Physically Assistive Robots (2024) • UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology • 21 citations
  Padmanabha et al.
• Assessing AI Detectors In Identifying Ai-generated Code: Implications For Education (2024) • ICSE-SEET '24: 46th International Conference on Software Engineering: Software Engineering Education and Training • 34 citations
  Pan et al.
• Training Software Engineering Agents And Verifiers With Swe-gym (2024) • No Venue
  Pan et al.
• Monet: Mixture Of Monosemantic Experts For Transformers (2024) • No Venue
  Park et al.
• VHM: Versatile And Honest Vision Language Model For Remote Sensing Image Analysis (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 14 citations
  Pang et al.
• Llamo: Large Language Model-based Molecular Graph Assistant (2024) • No Venue
  Park et al.
• Constant Acceleration Flow (2024) • No Venue
  Park et al.
• Pre-trained Vision And Language Transformers Are Few-shot Incremental Learners (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park
• Prompt Learning Via Meta-regularization (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim
• Logicbench: Towards Systematic Evaluation Of Logical Reasoning Ability Of Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Parmar et al.
• Datadreamer: A Tool For Synthetic Data Generation And Reproducible LLM Workflows (2024) • No Venue
  Ajay Patel, Colin Raffel, Chris Callison-Burch
• Benchmarks And Metrics For Evaluations Of Code Generation: A Critical Review (2024) • 2024 IEEE International Conference on Artificial Intelligence Testing (AITest) • 15 citations
  Debalina Ghosh Paul, Hong Zhu, Ian Bayley
• Building Math Agents With Multi-turn Iterative Preference Learning (2024) • No Venue
  Xiong et al.
• Vript: A Video Is Worth Thousands Of Words (2024) • No Venue
  Yang et al.
• Efficientvmamba: Atrous Selective Scan For Light Weight Visual Mamba (2024) • No Venue
  Xiaohuan Pei, Tao Huang, Chang Xu
• Weighted-reward Preference Optimization For Implicit Model Fusion (2024) • No Venue
  Yang et al.
• T3M: Text Guided 3D Human Motion Synthesis From Speech (2024) • No Venue
  Wenshuo Peng, Kaipeng Zhang, Sai Qian Zhang
• Eagle And Finch: RWKV With Matrix-valued States And Dynamic Recurrence (2024) • No Venue
  Peng et al.
• Hyperagent: Generalist Software Engineering Agents To Solve Coding Tasks At Scale (2024) • No Venue
  Huy Nhat Phan, Phong X. Nguyen, Nghi D. Q. Bui
• Structural Attention: Rethinking Transformer For Unpaired Medical Image Synthesis (2024) • Lecture Notes in Computer Science • 15 citations
  Phan et al.
• Revisiting Verilogeval: A Year Of Improvements In Large-language Models For Hardware Code Generation (2024) • ACM Transactions on Design Automation of Electronic Systems • 10 citations
  Pinckney et al.
• Training Language Models On Synthetic Edit Sequences Improves Code Synthesis (2024) • No Venue
  Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
• Em-assist: Safe Automated Extractmethod Refactoring With Llms (2024) • FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering • 19 citations
  Pomian et al.
• Beyond The Hype: A Comprehensive Review Of Current Trends In Generative AI Research, Teaching Practices, And Tools (2024) • ITiCSE 2024: Innovation and Technology in Computer Science Education • 37 citations
  Prather et al.
• GST: Precise 3D Human Body From A Single Image With Gaussian Splatting Transformers (2024) • No Venue
  Prospero et al.
• Visionzip: Longer Is Better But Not Necessary In Vision Language Models (2024) • No Venue
  Yang et al.
• Less Is More: Accurate Speech Recognition & Translation Without Web-scale Data (2024) • Interspeech 2024 • 10 citations
  Puvvada et al.
• Trecvit: A Recurrent Video Transformer (2024) • No Venue
  Pătrăucean et al.
• Constraint Back-translation Improves Complex Instruction Following Of Large Language Models (2024) • No Venue
  Qi et al.
• Mutual Reasoning Makes Smaller Llms Stronger Problem-solvers (2024) • No Venue
  Qi et al.
• Interactive Continual Learning: Fast And Slow Thinking (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Qi et al.
• Posterllava: Constructing A Unified Multi-modal Layout Generator With LLM (2024) • No Venue
  Yang et al.
• Supercorrect: Supervising And Correcting Language Models With Error-driven Insights (2024) • No Venue
  Yang et al.
• Visual Grounding With Multi-modal Conditional Adaptation (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 11 citations
  Yao et al.
• Seakr: Self-aware Knowledge Retrieval For Adaptive Retrieval Augmented Generation (2024) • No Venue
  Yao et al.
• We-math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? (2024) • No Venue
  Qiao et al.
• Autoact: Automatic Agent Learning From Scratch For QA Via Self-planning (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Qiao et al.
• Benchmarking Agentic Workflow Generation (2024) • No Venue
  Qiao et al.
• Lightning Attention-2: A Free Lunch For Handling Unlimited Sequence Lengths In Large Language Models (2024) • No Venue
  Qin et al.
• Cacheblend: Fast Large Language Model Serving For RAG With Cached Knowledge Fusion (2024) • EuroSys '25: Twentieth European Conference on Computer Systems • 17 citations
  Yao et al.
• Mulberry: Empowering MLLM With O1-like Reasoning And Reflection Via Collective Monte Carlo Tree Search (2024) • No Venue
  Yao et al.
• Hdldebugger: Streamlining HDL Debugging With Large Language Models (2024) • ACM Transactions on Design Automation of Electronic Systems • 19 citations
  Yao et al.
• Llm-aided Explanations Of EDA Synthesis Errors (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 11 citations
  Siyu Qiu, Benjamin Tan, Hammond Pearce
• Layerwise Recurrent Router For Mixture-of-experts (2024) • No Venue
  Qiu et al.
• Bringing Textual Prompt To Ai-generated Image Quality Assessment (2024) • 2024 IEEE International Conference on Multimedia and Expo (ICME) • 27 citations
  Bowen Qu, Haohui Li, Wei Gao
• Understanding The Weakness Of Large Language Model Agents Within A Complex Android Environment (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 13 citations
  Xing et al.
• Hellobench: Evaluating Long Text Generation Capabilities Of Large Language Models (2024) • No Venue
  Que et al.
• Language Models Can Self-lengthen To Generate Long Texts (2024) • No Venue
  Quan et al.
• Detecting Hallucinations In Large Language Model Generation: A Token Probability Approach (2024) • Communications in Computer and Information Science • 10 citations
  Quevedo et al.
• Xmodel-1.5: An 1b-scale Multilingual LLM (2024) • No Venue
  Qun et al.
• EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling With Retrieval-augmented Generation (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 15 citations
  Zhu et al.
• Vision Language Models Are Blind (2024) • No Venue
  Rahmanzadehgervi et al.
• Large Language Models In Computer Science Education: A Systematic Literature Review (2024) • SIGCSE TS 2025: The 56th ACM Technical Symposium on Computer Science Education • 25 citations
  Raihan et al.
• Breaking Bias, Building Bridges: Evaluation And Mitigation Of Social Biases In Llms Via Contact Hypothesis (2024) • Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society • 10 citations
  Raj et al.
• An Empirical Study On Usage And Perceptions Of Llms In A Software Engineering Project (2024) • LLM4Code '24: 1st International Workshop on Large Language Models for Code • 41 citations
  Rasnayaka et al.
• Explore Until Confident: Efficient Exploration For Embodied Question Answering (2024) • Robotics: Science and Systems 2024 • 17 citations
  Ren et al.
• On Memorization Of Large Language Models In Logical Reasoning (2024) • No Venue
  Xie et al.
• Self-reflection In LLM Agents: Effects On Problem-solving Performance (2024) • 2024 2nd International Conference on Foundation and Large Language Models (FLLM) • 10 citations
  Matthew Renze, Erhan Guven
• The Effect Of Sampling Temperature On Problem Solving In Large Language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 91 citations
  Matthew Renze, Erhan Guven
• Efficient Diffusion Transformer Policies With Mixture Of Expert Denoisers For Multitask Learning (2024) • No Venue
  Reuss et al.
• Bigdocs: An Open And Permissively-licensed Dataset For Training Multimodal Models On Document And Code Tasks (2024) • No Venue
  Rodriguez et al.
• Associative Recurrent Memory Transformer (2024) • No Venue
  Rodkin et al.
• Show-o: One Single Transformer To Unify Multimodal Understanding And Generation (2024) • No Venue
  Xie et al.
• Emovit: Revolutionizing Emotion Insights With Visual Instruction Tuning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Xie et al.
• Osworld: Benchmarking Multimodal Agents For Open-ended Tasks In Real Computer Environments (2024) • No Venue
  Xie et al.
• LML: Language Model Learning A Dataset For Data-augmented Prediction (2024) • No Venue
  Praneeth Vadlapati
• Fusechat: Knowledge Fusion Of Chat Models (2024) • No Venue
  Wan et al.
• Omniparser: A Unified Framework For Text Spotting, Key Information Extraction And Table Recognition (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Wan et al.
• Foundational Autoraters: Taming Large Language Models For Better Automatic Evaluation (2024) • No Venue
  Vu et al.
• Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples (2024) • No Venue
  Vouitsis et al.
• Spicepilot: Navigating SPICE Code Generation And Simulation With AI Guidance (2024) • 2024 IEEE International Conference on Rebooting Computing (ICRC) • 10 citations
  Vungarala et al.
• Frame Representation Hypothesis: Multi-token LLM Interpretability And Concept-guided Text Generation (2024) • No Venue
  Valois et al.
• Llamea: A Large Language Model Evolutionary Algorithm For Automatically Generating Metaheuristics (2024) • IEEE Transactions on Evolutionary Computation • 26 citations
  Niki van Stein, Thomas Bäck
• Learn To Code Sustainably: An Empirical Study On Llm-based Green Code Generation (2024) • LLM4Code '24: 1st International Workshop on Large Language Models for Code • 10 citations
  Vartziotis et al.
• Vhdl-eval: A Framework For Evaluating Large Language Models In VHDL Code Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 12 citations
  Vijayaraghavan et al.
• Autotrain: No-code Training For State-of-the-art Models (2024) • No Venue
  Abhishek Thakur
• Mobillama: Towards Accurate And Lightweight Fully Transparent GPT (2024) • No Venue
  Thawakar et al.
• To Forget Or Not? Towards Practical Knowledge Unlearning For Large Language Models (2024) • No Venue
  Tian et al.
• Debugbench: Evaluating Debugging Capability Of Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 28 citations
  Tian et al.
• Scicode: A Research Coding Benchmark Curated By Scientists (2024) • No Venue
  Tian et al.
• Videotetris: Towards Compositional Text-to-video Generation (2024) • No Venue
  Tian et al.
• Cambrian-1: A Fully Open, Vision-centric Exploration Of Multimodal Llms (2024) • No Venue
  Tong et al.
• Guide-and-rescale: Self-guidance Mechanism For Effective Tuning-free Real Image Editing (2024) • No Venue
  Titov et al.
• How Secure Is Ai-generated Code: A Large-scale Comparison Of Large Language Models (2024) • Empirical Software Engineering • 22 citations
  Tihanyi et al.
• GAVEL: Generating Games Via Evolution And Language Models (2024) • No Venue
  Todd et al.
• Codejudge: Evaluating Code Generation With Large Language Models (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 24 citations
  Weixi Tong, Tianyi Zhang
• Openmathinstruct-1: A 1.8 Million Math Instruction Tuning Dataset (2024) • No Venue
  Toshniwal et al.
• Text-enhanced Data-free Approach For Federated Class-incremental Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Tran et al.
• Transformers Meet ACT-R: Repeat-aware And Sequential Listening Session Recommendation (2024) • RecSys '24: 18th ACM Conference on Recommender Systems • 14 citations
  Tran et al.
• Appworld: A Controllable World Of Apps And People For Benchmarking Interactive Coding Agents (2024) • No Venue
  Trivedi et al.
• Charactereval: A Chinese Benchmark For Role-playing Conversational Agent Evaluation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Tu et al.
• Llms In Web Development: Evaluating Llm-generated PHP Code Unveiling Vulnerabilities And Limitations (2024) • Lecture Notes in Computer Science • 14 citations
  Rebeka Tóth, Tamas Bisztray, László Erdodi
• Improving Text Embeddings For Smaller Language Models Using Contrastive Fine-tuning (2024) • No Venue
  Trapoom Ukarapol, Zhicheng Lee, Amy Xin
• UCFE: A User-centric Financial Expertise Benchmark For Large Language Models (2024) • No Venue
  Yang et al.
• Pllava : Parameter-free Llava Extension From Images To Videos For Video Dense Captioning (2024) • No Venue
  Xu et al.
• Pride And Prejudice: LLM Amplifies Self-bias In Self-refinement (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Xu et al.
• Evidence-backed Fact Checking Using RAG And Few-shot In-context Learning With Llms (2024) • Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER) • 10 citations
  Singhal et al.
• COAT: Compressing Optimizer States And Activation For Memory-efficient FP8 Training (2024) • No Venue
  Xi et al.
• Safedecoding: Defending Against Jailbreak Attacks Via Safety-aware Decoding (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Xu et al.
• The Russian-focused Embedders' Exploration: Rumteb Benchmark And Russian Embedding Model Design (2024) • No Venue
  Snegirev et al.
• Dolma: An Open Corpus Of Three Trillion Tokens For Language Model Pretraining Research (2024) • No Venue
  Soldaini et al.
• BA-SAM: Scalable Bias-mode Attention Mask For Segment Anything Model (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Song et al.
• Cs-bench: A Comprehensive Benchmark For Large Language Models Towards Computer Science Mastery (2024) • No Venue
  Song et al.
• Finesure: Fine-grained Summarization Evaluation Using Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Song et al.
• Pedagogical Alignment Of Large Language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 13 citations
  Sonkar et al.
• Xmodel-vlm: A Simple Baseline For Multimodal Vision Language Model (2024) • No Venue
  Xu et al.
• Theagentcompany: Benchmarking LLM Agents On Consequential Real World Tasks (2024) • No Venue
  Xu et al.
• Unsupervised Information Refinement Training Of Large Language Models For Retrieval-augmented Generation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Xu et al.
• Fine Tuning Vs. Retrieval Augmented Generation For Less Popular Knowledge (2024) • SIGIR-AP 2024: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region • 49 citations
  Heydar Soudani, Evangelos Kanoulas, Faegheh Hasibi
• Funaudiollm: Voice Understanding And Generation Foundation Models For Natural Interaction Between Humans And Llms (2024) • No Venue
  Tongyi Speechteam
• Swe-agent: Agent-computer Interfaces Enable Automated Software Engineering (2024) • Advances in Neural Information Processing Systems 37 • 10 citations
  Yang et al.
• Scaling Granite Code Models To 128K Context (2024) • No Venue
  Stallone et al.
• Seccodeplt: A Unified Platform For Evaluating The Security Of Code Genai (2024) • No Venue
  Yang et al.
• Transferable And Principled Efficiency For Open-vocabulary Segmentation (2024) • No Venue
  Xu et al.
• Qwen2 Technical Report (2024) • No Venue
  Yang et al.
• Regal: Refactoring Programs To Discover Generalizable Abstractions (2024) • No Venue
  Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal
• What Large Language Models Know And What People Think They Know (2024) • Nature Machine Intelligence • 60 citations
  Steyvers et al.
• BRIGHT: A Realistic And Challenging Benchmark For Reasoning-intensive Retrieval (2024) • No Venue
  Su et al.
• Boostmvsnerfs: Boosting Mvs-based Nerfs To Generalizable View Synthesis In Large-scale Scenes (2024) • No Venue
  Su et al.
• Personalized Behavior-aware Transformer For Multi-behavior Sequential Recommendation (2024) • MM '23: The 31st ACM International Conference on Multimedia • 38 citations
  Su et al.
• DRAGIN: Dynamic Retrieval Augmented Generation Based On The Information Needs Of Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 31 citations
  Su et al.
• Mitigating Entity-level Hallucination In Large Language Models (2024) • SIGIR-AP 2024: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region • 12 citations
  Su et al.
• Matplotagent: Method And Evaluation For Llm-based Agentic Scientific Data Visualization (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Yang et al.
• Mastering Text-to-image Diffusion: Recaptioning, Planning, And Generating With Multimodal Llms (2024) • No Venue
  Yang et al.
• LAMBDA: A Large Model Based Data Agent (2024) • No Venue
  Sun et al.
• Flatquant: Flatness Matters For LLM Quantization (2024) • No Venue
  Sun et al.
• Hunyuan-large: An Open-source Moe Model With 52 Billion Activated Parameters By Tencent (2024) • No Venue
  Sun et al.
• Parrot: Multilingual Visual Instruction Tuning (2024) • No Venue
  Sun et al.
• Multimodal Latent Language Modeling With Next-token Diffusion (2024) • No Venue
  Sun et al.
• Triforce: Lossless Acceleration Of Long Sequence Generation With Hierarchical Speculative Decoding (2024) • No Venue
  Sun et al.
• Shadowkv: KV Cache In Shadows For High-throughput Long-context LLM Inference (2024) • No Venue
  Sun et al.
• Source Code Summarization In The Era Of Large Language Models (2024) • 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE) • 23 citations
  Sun et al.
• When Neural Code Completion Models Size Up The Situation: Attaining Cheaper And Faster Completion Through Dynamic Model Inference (2024) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 13 citations
  Sun et al.
• Fuzzcoder: Byte-level Fuzzing Test Via Large Language Model (2024) • No Venue
  Yang et al.
• Exploring And Unleashing The Power Of Large Language Models In Automated Code Translation (2024) • Proceedings of the ACM on Software Engineering • 57 citations
  Yang et al.
• DGL: Dynamic Global-local Prompt Tuning For Text-video Retrieval (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Yang et al.
• Evaluating And Aligning Codellms On Human Preference (2024) • No Venue
  Yang et al.
• Yuan 2.0-M32: Mixture Of Experts With Attention Router (2024) • No Venue
  Wu et al.
• Number It: Temporal Grounding Videos Like Flipping Manga (2024) • No Venue
  Wu et al.
• Judgebench: A Benchmark For Evaluating Llm-based Judges (2024) • No Venue
  Tan et al.
• Videogamebunny: Towards Vision Assistants For Video Games (2024) • No Venue
  Mohammad Reza Taesiri, Cor-Paul Bezemer
• Unpacking SDXL Turbo: Interpreting Text-to-image Models With Sparse Autoencoders (2024) • No Venue
  Surkov et al.
• Plot2code: A Comprehensive Benchmark For Evaluating Multi-modal Large Language Models In Code Generation From Scientific Plots (2024) • No Venue
  Wu et al.
• Idgenrec: Llm-recsys Alignment With Textual ID Learning (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 25 citations
  Tan et al.
• Harnessing Large Language Models For Software Vulnerability Detection: A Comprehensive Benchmarking Study (2024) • IEEE Access • 18 citations
  Karl Tamberg, Hayretdin Bahsi
• Bugs In Large Language Models Generated Code: An Empirical Study (2024) • Empirical Software Engineering • 22 citations
  Tambon et al.
• Simple, Efficient And Scalable Structure-aware Adapter Boosts Protein Language Models (2024) • Journal of Chemical Information and Modeling • 16 citations
  Tan et al.
• Llm4decompile: Decompiling Binary Code With Large Language Models (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 25 citations
  Tan et al.
• Lloco: Learning Long Contexts Offline (2024) • No Venue
  Tan et al.
• Inversecoder: Unleashing The Power Of Instruction-tuned Code Llms With Inverse-instruct (2024) • No Venue
  Wu et al.
• Minigpt-3d: Efficiently Aligning 3D Point Clouds With Large Language Models Using 2D Priors (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 14 citations
  Tang et al.
• HART: Efficient Visual Generation With Hybrid Autoregressive Transformer (2024) • No Venue
  Tang et al.
• Minicheck: Efficient Fact-checking Of Llms On Grounding Documents (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Liyan Tang, Philippe Laban, Greg Durrett
• Rethinking Optimization And Architecture For Tiny Language Models (2024) • No Venue
  Tang et al.
• Llama Pro: Progressive Llama With Block Expansion (2024) • No Venue
  Wu et al.
• Layer-condensed KV Cache For Efficient Inference Of Large Language Models (2024) • No Venue
  Haoyi Wu, Kewei Tu
• Futga: Towards Fine-grained Music Understanding Through Temporally-enhanced Generative Augmentation (2024) • No Venue
  Wu et al.
• EDA Corpus: A Large Language Model Dataset For Enhanced Interaction With Openroad (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 14 citations
  Wu et al.
• Evolutionary Computation In The Era Of Large Language Model: Survey And Roadmap (2024) • IEEE Transactions on Evolutionary Computation • 49 citations
  Wu et al.
• Core: Context-regularized Text Embedding Learning For Text-to-image Personalization (2024) • No Venue
  Wu et al.
• Automated Data Visualization From Natural Language Via Large Language Models: An Exploratory Study (2024) • Proceedings of the ACM on Management of Data • 24 citations
  Wu et al.
• Code-aware Prompting: A Study Of Coverage Guided Test Generation In Regression Setting Using LLM (2024) • Proceedings of the ACM on Software Engineering • 51 citations
  Ryan et al.
• Decomposition For Enhancing Attention: Improving Llm-based Text-to-sql Through Workflow Paradigm (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 21 citations
  Xie et al.
• Gradsafe: Detecting Jailbreak Prompts For Llms Via Safety-critical Gradient Analysis (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Xie et al.
• Emobench: Evaluating The Emotional Intelligence Of Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Sabour et al.
• Tails Tell Tales: Chapter-wide Manga Transcriptions With Character Names (2024) • No Venue
  Ragav Sachdeva, Gyungin Shin, Andrew Zisserman
• Simple And Effective Masked Diffusion Language Models (2024) • No Venue
  Sahoo et al.
• Not The Silver Bullet: Llm-enhanced Programming Error Messages Are Ineffective In Practice (2024) • UKICER 2024: The United Kingdom and Ireland Computing Education Research • 12 citations
  Eddie Antonio Santos, Brett A. Becker
• Pre-training Small Base Lms With Fewer Tokens (2024) • No Venue
  Sunny Sanyal, Sujay Sanghavi, Alexandros G. Dimakis
• Can Llms Master Math? Investigating Large Language Models On Math Stack Exchange (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
  Satpute et al.
• Deeploy: Enabling Energy-efficient Deployment Of Small Language Models On Heterogeneous Microcontrollers (2024) • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems • 15 citations
  Scherer et al.
• The Emergence Of Large Language Models (LLM) As A Tool In Literature Reviews: An LLM Automated Systematic Review (2024) • Journal of the American Medical Informatics Association • 43 citations
  Scherbakov et al.
• Mpirigen: MPI Code Generation Through Domain-specific Language Models (2024) • No Venue
  Schneider et al.
• Mindeye2: Shared-subject Models Enable Fmri-to-image With 1 Hour Of Data (2024) • No Venue
  Scotti et al.
• Livexiv -- A Multi-modal Live Benchmark Based On Arxiv Papers Content (2024) • No Venue
  Shabtay et al.
• Autore: Document-level Relation Extraction With Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 25 citations
  Xue et al.
• Posterllama: Bridging Design Ability Of Langauge Model To Contents-aware Layout Generation (2024) • Lecture Notes in Computer Science • 10 citations
  Jaejung Seol, Seojun Kim, Jaejun Yoo
• Easyanimate: A High-performance Long Video Generation Method Based On Transformer Architecture (2024) • No Venue
  Xu et al.
• Few-shot Adaptation Of Medical Vision-language Models (2024) • Lecture Notes in Computer Science • 19 citations
  Shakeri et al.
• Scaling Retrieval-based Language Models With A Trillion-token Datastore (2024) • No Venue
  Shao et al.
• Who Validates The Validators? Aligning Llm-assisted Evaluation Of LLM Outputs With Human Preferences (2024) • UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology • 99 citations
  Shankar et al.
• Patch-level Training For Large Language Models (2024) • No Venue
  Chenze Shao, Fandong Meng, Jie Zhou
• Deepseekmath: Pushing The Limits Of Mathematical Reasoning In Open Language Models (2024) • No Venue
  Shao et al.
• Exploring How Multiple Levels Of Gpt-generated Programming Hints Support Or Disappoint Novices (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 22 citations
  Ruiwei Xiao, Xinying Hou, John Stamper
• Survey Of Different Large Language Model Architectures: Trends, Benchmarks, And Challenges (2024) • IEEE Access • 41 citations
  Shao et al.
• A Vision Check-up For Language Models (2024) • No Venue
  Sharma et al.
• Learning To Decode Collaboratively With Multiple Language Models (2024) • No Venue
  Shen et al.
• Explanatory Instructions: Towards Unified Vision Tasks Understanding And Zero-shot Generalization (2024) • No Venue
  Shen et al.
• Boosting Consistency In Story Visualization With Rich-contextual Conditional Diffusion Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 25 citations
  Shen et al.
• Jetmoe: Reaching Llama2 Performance With 0.1M Dollars (2024) • No Venue
  Shen et al.
• Exploring Multi-grained Concept Annotations For Multimodal Large Language Models (2024) • No Venue
  Xu et al.
• Power Scheduler: A Batch Size And Token Number Agnostic Learning Rate Scheduler (2024) • No Venue
  Shen et al.
• Faithful Logical Reasoning Via Symbolic Chain-of-thought (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Xu et al.
• Finetuning Large Language Models For Vulnerability Detection (2024) • IEEE Access • 49 citations
  Shestov et al.
• Yell At Your Robot: Improving On-the-fly From Language Corrections (2024) • Robotics: Science and Systems 2024 • 28 citations
  Shi et al.
• From Code To Correctness: Closing The Last Mile Of Code Generation With Hierarchical Debugging (2024) • No Venue
  Shi et al.
• Ehragent: Code Empowers Large Language Models For Few-shot Complex Tabular Reasoning On Electronic Health Records (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Shi et al.
• Discovering The Gems In Early Layers: Accelerating Long-context Llms With 1000x Input Token Reduction (2024) • No Venue
  Shi et al.
• Chartmimic: Evaluating Lmm's Cross-modal Reasoning Capability Via Chart-to-code Generation (2024) • No Venue
  Shi et al.
• Eagle: Exploring The Design Space For Multimodal Llms With Mixture Of Encoders (2024) • No Venue
  Shi et al.
• When Do We Not Need Larger Vision Models? (2024) • No Venue
  Shi et al.
• Math-llava: Bootstrapping Mathematical Reasoning For Multimodal Large Language Models (2024) • No Venue
  Shi et al.
• Large Language Models Are Learnable Planners For Long-term Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 16 citations
  Shi et al.
• VSSD: Vision Mamba With Non-casual State Space Duality (2024) • No Venue
  Shi et al.
• MMIE: Massive Multimodal Interleaved Comprehension Benchmark For Large Vision-language Models (2024) • No Venue
  Xia et al.
• RULE: Reliable Multimodal RAG For Factuality In Medical Vision Language Models (2024) • No Venue
  Xia et al.
• Vit-comer: Vision Transformer With Convolutional Multi-scale Feature Interaction For Dense Predictions (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 96 citations
  Xia et al.
• UMBRAE: Unified Multimodal Brain Decoding (2024) • Lecture Notes in Computer Science • 10 citations
  Xia et al.
• Mmed-rag: Versatile Multimodal RAG System For Medical Vision Language Models (2024) • No Venue
  Xia et al.
• MENTOR: Multi-level Self-supervised Learning For Multimodal Recommendation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Xu et al.
• FP6-LLM: Efficiently Serving Large Language Models Through Fp6-centric Algorithm-system Co-design (2024) • No Venue
  Xia et al.
• Agentless: Demystifying Llm-based Software Engineering Agents (2024) • No Venue
  Xia et al.
• Llava-mod: Making Llava Tiny Via Moe Knowledge Distillation (2024) • No Venue
  Shu et al.
• Ootdiffusion: Outfitting Fusion Based Latent Diffusion For Controllable Virtual Try-on (2024) • No Venue
  Xu et al.
• Design2code: How Far Are We From Automating Front-end Engineering? (2024) • No Venue
  Si et al.
• WPO: Enhancing RLHF With Weighted Preference Optimization (2024) • No Venue
  Zhou et al.
• Planetarium: A Rigorous Benchmark For Translating Text To Structured Planning Languages (2024) • No Venue
  Zuo et al.
• Gpt-4o System Card (2024) • No Venue
  Openai et al.
• Deepseek LLM: Scaling Open-source Language Models With Longtermism (2024) • No Venue
  Deepseek-Ai et al.
• Vlogger: Make Your Dream A Vlog (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 21 citations
  Zhuang et al.
• Arabicaqa: A Comprehensive Dataset For Arabic Question Answering (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 17 citations
  Abdallah et al.
• Agent S: An Open Agentic Framework That Uses Computers Like A Human (2024) • No Venue
  Agashe et al.
• Copilot Evaluation Harness: Evaluating Llm-guided Software Programming (2024) • No Venue
  Agarwal et al.
• Pixtral 12B (2024) • No Venue
  Agrawal et al.
• Mtlora: A Low-rank Adaptation Approach For Efficient Multi-task Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 24 citations
  Ahmed Agiza, Marina Neseem, Sherief Reda
• Can Llms Replace Manual Annotation Of Software Engineering Artifacts? (2024) • 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR) • 19 citations
  Ahmed et al.
• Dreamclear: High-capacity Real-world Image Restoration With Privacy-safe Dataset Curation (2024) • No Venue
  Ai et al.
• Enhancing Textual Textbook Question Answering With Large Language Models And Retrieval Augmented Generation (2024) • Pattern Recognition • 21 citations
  Alawwad et al.
• Maya: An Instruction Finetuned Multilingual Multimodal Model (2024) • No Venue
  Alam et al.
• Rtl-repo: A Benchmark For Evaluating Llms On Large-scale RTL Design Projects (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 11 citations
  Ahmed Allam, Mohamed Shalan
• When Benchmarks Are Targets: Revealing The Sensitivity Of Large Language Model Leaderboards (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Alzahrani et al.
• Unibench: Visual Reasoning Requires Rethinking Vision-language Beyond Scaling (2024) • No Venue
  Al-Tahan et al.
• Make Your LLM Fully Utilize The Context (2024) • No Venue
  An et al.
• Training-free Long-context Scaling Of Large Language Models (2024) • No Venue
  An et al.
• Slicegpt: Compress Large Language Models By Deleting Rows And Columns (2024) • No Venue
  Ashkboos et al.
• Blackmamba: Mixture Of Experts For State-space Models (2024) • No Venue
  Anthony et al.
• Simple Linear Attention Language Models Balance The Recall-throughput Tradeoff (2024) • No Venue
  Arora et al.
• To Code, Or Not To Code? Exploring Impact Of Code In Pre-training (2024) • No Venue
  Aryabumi et al.
• Openscholar: Synthesizing Scientific Literature With Retrieval-augmented Lms (2024) • No Venue
  Asai et al.
• Minigpt4-video: Advancing Multimodal Llms For Video Understanding With Interleaved Visual-textual Tokens (2024) • No Venue
  Ataallah et al.
• Agrogpt: Efficient Agricultural Vision-language Model With Expert Tuning (2024) • 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 11 citations
  Awais et al.
• MINT-1T: Scaling Open-source Multimodal Data By 10x: A Multimodal Dataset With One Trillion Tokens (2024) • No Venue
  Awadalla et al.
• ITACLIP: Boosting Training-free Semantic Segmentation With Image, Text, And Architectural Enhancements (2024) • No Venue
  Aydın et al.
• 4M-21: An Any-to-any Vision Model For Tens Of Tasks And Modalities (2024) • No Venue
  Bachmann et al.
• Can Language Beat Numerical Regression? Language-based Multimodal Trajectory Prediction (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 29 citations
  Inhwan Bae, Junoh Lee, Hae-Gon Jeon
• From Generalist To Specialist: Adapting Vision Language Models Via Task-specific Visual Instruction Tuning (2024) • No Venue
  Bai et al.
• Mt-bench-101: A Fine-grained Benchmark For Evaluating Large Language Models In Multi-turn Dialogues (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 25 citations
  Bai et al.
• Longwriter: Unleashing 10,000+ Word Generation From Long Context Llms (2024) • No Venue
  Bai et al.
• Longalign: A Recipe For Long Context Alignment Of Large Language Models (2024) • No Venue
  Bai et al.
• Longbench V2: Towards Deeper Understanding And Reasoning On Realistic Long-context Multitasks (2024) • No Venue
  Bai et al.
• One Token To Seg Them All: Language Instructed Reasoning Segmentation In Videos (2024) • No Venue
  Bai et al.
• Probing The 3D Awareness Of Visual Foundation Models (2024) • No Venue
  Banani et al.
• What Makes Multimodal In-context Learning Work? (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 19 citations
  Baldassini et al.
• Fully Open Source Moxin-7b Technical Report (2024) • No Venue
  Zhao et al.
• Evolvedirector: Approaching Advanced Text-to-image Generation With Large Vision-language Models (2024) • No Venue
  Zhao et al.
• LLM Augmented Llms: Expanding Capabilities Through Composition (2024) • No Venue
  Bansal et al.
• Ultraedit: Instruction-based Fine-grained Image Editing At Scale (2024) • No Venue
  Zhao et al.
• Iris: An Ai-driven Virtual Tutor For Computer Science Education (2024) • ITiCSE 2024: Innovation and Technology in Computer Science Education • 45 citations
  Patrick Bassner, Eduard Frankford, Stephan Krusche
• Mg-llava: Towards Multi-granularity Visual Instruction Tuning (2024) • No Venue
  Zhao et al.
• Meta-chunking: Learning Efficient Text Segmentation Via Logical Perception (2024) • No Venue
  Zhao et al.
• Monoformer: One Transformer For Both Diffusion And Autoregression (2024) • No Venue
  Zhao et al.
• "like A Nesting Doll": Analyzing Recursion Analogies Generated By CS Students Using Large Language Models (2024) • ITiCSE 2024: Innovation and Technology in Computer Science Education • 18 citations
  Bernstein et al.
• Weak-to-strong Jailbreaking On Large Language Models (2024) • No Venue
  Zhao et al.
• Hire A Linguist!: Learning Endangered Languages With In-context Linguistic Descriptions (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Zhang et al.
• Cofinal: Enhancing Action Quality Assessment With Coarse-to-fine Instruction Alignment (2024) • Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24} • 12 citations
  Zhou et al.
• Programming Every Example: Lifting Pre-training Data Quality Like Experts At Scale (2024) • No Venue
  Zhou et al.
• Codev: Empowering Llms For Verilog Generation Through Multi-level Summarization (2024) • No Venue
  Zhao et al.
• Beyond Text: Frozen Large Language Models In Visual Signal Comprehension (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Lei Zhu, Fangyun Wei, Yanye Lu
• Iterative Refinement Of Project-level Code Context For Precise Code Generation With Compiler Feedback (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Bi et al.
• Dynasaur: Large Language Agents Beyond Predefined Actions (2024) • No Venue
  Nguyen et al.
• Text2sql Is Not Enough: Unifying AI And Databases With TAG (2024) • No Venue
  Biswal et al.
• Autogpt+p: Affordance-based Task Planning With Large Language Models (2024) • Robotics: Science and Systems 2024 • 19 citations
  Birr et al.
• One Step At A Time: Combining Llms And Static Analysis To Generate Next-step Hints For Programming Tasks (2024) • Koli Calling '24: 24th Koli Calling International Conference on Computing Education Research • 16 citations
  Birillo et al.
• Unsupervised Domain Adaption Harnessing Vision-language Pre-training (2024) • IEEE Transactions on Circuits and Systems for Video Technology • 15 citations
  Wenlve Zhou, Zhiheng Zhou
• Evaluating Llms For Hardware Design And Test (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 15 citations
  Blocklove et al.
• Streaming Dense Video Captioning (2024) • No Venue
  Zhou et al.
• Long Code Arena: A Set Of Benchmarks For Long-context Code Models (2024) • No Venue
  Bogomolov et al.
• Windows Agent Arena: Evaluating Multi-modal OS Agents At Scale (2024) • No Venue
  Bonatti et al.
• Code-as-monitor: Constraint-aware Visual Programming For Reactive And Proactive Robotic Failure Detection (2024) • No Venue
  Zhou et al.
• Evaluating Multiview Object Consistency In Humans And Image Models (2024) • No Venue
  Bonnen et al.
• Large Language Model (LLM) For Telecommunications: A Comprehensive Survey On Principles, Key Techniques, And Opportunities (2024) • IEEE Communications Surveys & Tutorials • 118 citations
  Zhou et al.
• Logah: Predicting 774-million-parameter Transformers Using Graph Hypernetworks With 1/100 Parameters (2024) • No Venue
  Zhou et al.
• You Name It, I Run It: An LLM Agent To Execute Tests Of Arbitrary Projects (2024) • Proceedings of the ACM on Software Engineering • 10 citations
  Islem Bouzenia, Michael Pradel
• Repairagent: An Autonomous, Llm-based Agent For Program Repair (2024) • 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE) • 36 citations
  Islem Bouzenia, Premkumar Devanbu, Michael Pradel
• Multimodal Situational Safety (2024) • No Venue
  Zhou et al.
• Embodied Understanding Of Driving Scenarios (2024) • Lecture Notes in Computer Science • 12 citations
  Zhou et al.
• Codeit: Self-improving Language Models With Prioritized Hindsight Replay (2024) • No Venue
  Butt et al.
• Proposer-agent-evaluator(pae): Autonomous Skill Discovery For Foundation Model Internet Agents (2024) • No Venue
  Zhou et al.
• Llms Are Few-shot In-context Low-resource Language Learners (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
  Samuel Cahyawijaya, Holy Lovenia, Pascale Fung
• Internlm2 Technical Report (2024) • No Venue
  Cai et al.
• On The Compositional Generalization Of Multimodal Llms For Medical Imaging (2024) • No Venue
  Cai et al.
• Temporalbench: Benchmarking Fine-grained Temporal Understanding For Multimodal Video Models (2024) • No Venue
  Cai et al.
• Benchx: A Unified Benchmark Framework For Medical Vision-language Pretraining On Chest X-rays (2024) • No Venue
  Zhou et al.
• Disentangled Graph Variational Auto-encoder For Multimodal Recommendation With Interpretability (2024) • IEEE Transactions on Multimedia • 27 citations
  Xin Zhou, Chunyan Miao
• Towards Educator-driven Tutor Authoring: Generative AI Approaches For Creating Intelligent Tutor Interfaces (2024) • L@S '24: Eleventh ACM Conference on Learning @ Scale • 12 citations
  Tommaso Calo, Christopher J. MacLellan
• Generative Multi-modal Models Are Good Class-incremental Learners (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 19 citations
  Cao et al.
• Videoelevator: Elevating Video Generation Quality With Versatile Text-to-image Diffusion Models (2024) • No Venue
  Zhang et al.
• Narrative Action Evaluation With Prompt-guided Multimodal Interaction (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Zhang et al.
• Enhancing Recommendation Diversity By Re-ranking With Large Language Models (2024) • ACM Transactions on Recommender Systems • 25 citations
  Diego Carraro, Derek Bridge
• Clove: Encoding Compositional Language In Contrastive Vision-language Models (2024) • No Venue
  Castro et al.
• Coffee-gym: An Environment For Evaluating And Improving Natural Language Feedback On Erroneous Code (2024) • No Venue
  Chae et al.
• Language Models As Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning In Language Models (2024) • No Venue
  Chae et al.
• Mceval: Massively Multilingual Code Evaluation (2024) • No Venue
  Chai et al.
• Tokenization Falling Short: The Curse Of Tokenization (2024) • No Venue
  Chai et al.
• Data Is All You Need: Finetuning Llms For Chip Design Via An Automated Design-data Augmentation Framework (2024) • DAC '24: 61st ACM/IEEE Design Automation Conference • 45 citations
  Chang et al.
• Telecomgpt: A Framework To Build Telecom-specfic Large Language Models (2024) • IEEE Transactions on Machine Learning in Communications and Networking • 26 citations
  Zou et al.
• Usimagent: Large Language Models For Simulating Search Users (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 10 citations
  Zhang et al.
• GPT Or BERT: Why Not Both? (2024) • No Venue
  Lucas Georges Gabriel Charpentier, David Samuel
• POSIX: A Prompt Sensitivity Index For Large Language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 12 citations
  Chatterjee et al.
• Dijiang: Efficient Large Language Models Through Compact Kernelization (2024) • No Venue
  Chen et al.
• Asyncdiff: Parallelizing Diffusion Models By Asynchronous Denoising (2024) • No Venue
  Chen et al.
• A Spark Of Vision-language Intelligence: 2-dimensional Autoregressive Transformer For Efficient Finegrained Image Generation (2024) • No Venue
  Chen et al.
• An Image Is Worth 1/2 Tokens After Layer 2: Plug-and-play Inference Acceleration For Large Vision-language Models (2024) • No Venue
  Chen et al.
• Agent-flan: Designing Data And Methods Of Effective Agent Tuning For Large Language Models (2024) • No Venue
  Chen et al.
• Bootstrapping Language Models With DPO Implicit Rewards (2024) • No Venue
  Chen et al.
• B4: Towards Optimal Assessment Of Plausible Code Solutions With Plausible Tests (2024) • No Venue
  Chen et al.
• Benchmarking Large Language Models On Answering And Explaining Challenging Medical Questions (2024) • Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 12 citations
  Chen et al.
• Comm: Collaborative Multi-agent, Multi-reasoning-path Prompting For Complex Problem Solving (2024) • Findings of the Association for Computational Linguistics: NAACL 2024 • 11 citations
  Pei Chen, Boran Han, Shuai Zhang
• Diversity Empowers Intelligence: Integrating Expertise Of Software Engineering Agents (2024) • No Venue
  Zhang et al.
• Mega-bench: Scaling Multimodal Evaluation To Over 500 Real-world Tasks (2024) • No Venue
  Chen et al.
• Efficientqat: Efficient Quantization-aware Training For Large Language Models (2024) • No Venue
  Chen et al.
• Frozenseg: Harmonizing Frozen Foundation Models For Open-vocabulary Segmentation (2024) • No Venue
  Chen et al.
• F5-TTS: A Fairytaler That Fakes Fluent And Faithful Speech With Flow Matching (2024) • No Venue
  Chen et al.
• Grounded 3D-LLM With Referent Tokens (2024) • No Venue
  Chen et al.
• How Far Are We To GPT-4V? Closing The Gap To Commercial Multimodal Models With Open-source Suites (2024) • No Venue
  Chen et al.
• Language Models Are Hidden Reasoners: Unlocking Latent Reasoning Capabilities Via Self-rewarding (2024) • No Venue
  Chen et al.
• Orion-14b: Open-source Multilingual Large Language Models (2024) • No Venue
  Chen et al.
• Mj-bench: Is Your Multimodal Reward Model Really A Good Judge For Text-to-image Generation? (2024) • No Venue
  Chen et al.
• OMPGPT: A Generative Pre-trained Transformer Model For Openmp (2024) • Lecture Notes in Computer Science • 15 citations
  Chen et al.
• Videollm-online: Online Video Large Language Model For Streaming Video (2024) • No Venue
  Chen et al.
• Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/multi-modal Jailbreak Attacks? (2024) • No Venue
  Chen et al.
• Prefixquant: Static Quantization Beats Dynamic Through Prefixed Outliers In Llms (2024) • No Venue
  Chen et al.
• Scienceagentbench: Toward Rigorous Assessment Of Language Agents For Data-driven Scientific Discovery (2024) • No Venue
  Chen et al.
• Towards Robust Speech Representation Learning For Thousands Of Languages (2024) • No Venue
  Chen et al.
• Training-free Regional Prompting For Diffusion Transformers (2024) • No Venue
  Chen et al.
• OCR Hinders RAG: Evaluating The Cascading Impact Of OCR On Retrieval-augmented Generation (2024) • No Venue
  Zhang et al.
• Safe Unlearning: A Surprisingly Effective And Generalizable Solution To Defend Against Jailbreak Attacks (2024) • No Venue
  Zhang et al.
• Soaring From 4K To 400K: Extending Llm's Context With Activation Beacon (2024) • No Venue
  Zhang et al.
• UFO: A Ui-focused Agent For Windows OS Interaction (2024) • No Venue
  Zhang et al.
• WSI-VQA: Interpreting Whole Slide Images By Generative Visual Question Answering (2024) • Lecture Notes in Computer Science • 14 citations
  Chen et al.
• Visionts: Visual Masked Autoencoders Are Free-lunch Zero-shot Time Series Forecasters (2024) • No Venue
  Chen et al.
• VCR: Visual Caption Restoration (2024) • No Venue
  Zhang et al.
• Self-exploring Language Models: Active Preference Elicitation For Online Alignment (2024) • No Venue
  Zhang et al.
• Tinyllama: An Open-source Small Language Model (2024) • No Venue
  Zhang et al.
• Logicode: An Llm-driven Framework For Logical Anomaly Detection (2024) • IEEE Transactions on Automation Science and Engineering • 19 citations
  Zhang et al.
• Retrievalqa: Assessing Adaptive Retrieval-augmented Generation For Short-form Open-domain Question Answering (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Zihan Zhang, Meng Fang, Ling Chen
• O1-coder: An O1 Replication For Coding (2024) • No Venue
  Zhang et al.
• Ontochat: A Framework For Conversational Ontology Engineering Using Language Models (2024) • Lecture Notes in Computer Science • 11 citations
  Zhang et al.
• Realcompo: Dynamic Equilibrium Between Realism And Compositionality Improves Text-to-image Diffusion Models (2024) • No Venue
  Zhang et al.
• RAFT: Adapting Language Model To Domain Specific RAG (2024) • No Venue
  Zhang et al.
• POA: Pre-training Once For Models Of All Sizes (2024) • No Venue
  Zhang et al.
• Omg-llava: Bridging Image-level, Object-level, Pixel-level Reasoning And Understanding (2024) • No Venue
  Zhang et al.
• On The Diagram Of Thought (2024) • No Venue
  Yifan Zhang, Yang Yuan, Andrew Chi-Chih Yao
• Map-neo: Highly Capable And Transparent Bilingual Large Language Model Series (2024) • No Venue
  Zhang et al.
• Multi-dimensional Insights: Benchmarking Real-world Personalization In Large Multimodal Models (2024) • No Venue
  Zhang et al.
• Multimodal Self-instruct: Synthetic Abstract Image And Visual Reasoning Instruction Using Language Model (2024) • No Venue
  Zhang et al.
• Mme-realworld: Could Your Multimodal LLM Challenge High-resolution Real-world Scenarios That Are Difficult For Humans? (2024) • No Venue
  Zhang et al.
• Mg-verilog: Multi-grained Dataset Towards Enhanced Llm-assisted Verilog Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 38 citations
  Zhang et al.
• Linkner: Linking Local Named Entity Recognition Models To Large Language Models Using Uncertainty (2024) • WWW '24: The ACM Web Conference 2024 • 22 citations
  Zhang et al.
• Long Context Transfer From Language To Vision (2024) • No Venue
  Zhang et al.
• Llava-uhd V2: An MLLM Integrating High-resolution Feature Pyramid Via Hierarchical Window Transformer (2024) • No Venue
  Zhang et al.
• LLM Hallucinations In Practical Code Generation: Phenomena, Mechanism, And Mitigation (2024) • Proceedings of the ACM on Software Engineering • 31 citations
  Zhang et al.
• Humaneval-v: Benchmarking High-level Visual Reasoning With Complex Diagrams In Coding Tasks (2024) • No Venue
  Zhang et al.
• Large Multi-modal Models Can Interpret Features In Large Multi-modal Models (2024) • No Venue
  Zhang et al.
• Itercomp: Iterative Composition-aware Feedback Learning From Model Gallery For Text-to-image Generation (2024) • No Venue
  Zhang et al.
• Interactivevideo: User-centric Controllable Video Generation With Synergistic Multimodal Instructions (2024) • No Venue
  Zhang et al.
• Infinitymath: A Scalable Instruction Tuning Dataset In Programmatic Mathematical Reasoning (2024) • No Venue
  Zhang et al.
• GRAPE: Generalizing Robot Policy Via Preference Alignment (2024) • No Venue
  Zhang et al.
• Distribution Backtracking Builds A Faster Convergence Trajectory For One-step Diffusion Distillation (2024) • No Venue
  Zhang et al.
• Graphtranslator: Aligning Graph Model To Large Language Model For Open-ended Tasks (2024) • WWW '24: The ACM Web Conference 2024 • 35 citations
  Zhang et al.
• Flash-vstream: Memory-based Real-time Understanding For Long Video Streams (2024) • No Venue
  Zhang et al.
• Enhancing Multimodal Large Language Models Complex Reason Via Similarity Computation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Zhang et al.
• Extending Llama-3's Context Ten-fold Overnight (2024) • No Venue
  Zhang et al.
• Eyetrans: Merging Human And Machine Attention For Neural Code Summarization (2024) • Proceedings of the ACM on Software Engineering • 12 citations
  Zhang et al.
• Extract, Define, Canonicalize: An Llm-based Framework For Knowledge Graph Construction (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 42 citations
  Bowen Zhang, Harold Soh
• Explore The Limits Of Omni-modal Pretraining At Scale (2024) • No Venue
  Zhang et al.
• Earthmarker: A Visual Prompting Multi-modal Large Language Model For Remote Sensing (2024) • IEEE Transactions on Geoscience and Remote Sensing • 22 citations
  Zhang et al.
• Automathtext: Autonomous Data Selection With Language Models For Mathematical Texts (2024) • No Venue
  Zhang et al.
• Aquila2 Technical Report (2024) • No Venue
  Zhang et al.
• On The Limits Of Agency In Agent-based Models (2024) • No Venue
  Chopra et al.
• Breaking The Memory Barrier: Near Infinite Batch Size Scaling For Contrastive Loss (2024) • No Venue
  Cheng et al.
• Autodetect: Towards A Unified Framework For Automated Weakness Detection In Large Language Models (2024) • No Venue
  Cheng et al.
• Call Me When Necessary: Llms Can Efficiently And Faithfully Reason Over Structured Environments (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Cheng et al.
• Taming Multimodal Joint Training For High-quality Video-to-audio Synthesis (2024) • No Venue
  Cheng et al.
• Instruction Pre-training: Language Models Are Supervised Multitask Learners (2024) • No Venue
  Cheng et al.
• Spatialrgpt: Grounded Spatial Reasoning In Vision Language Models (2024) • Advances in Neural Information Processing Systems 37 • 21 citations
  Cheng et al.
• Spar: Self-play With Tree-search Refinement To Improve Instruction-following In Large Language Models (2024) • No Venue
  Cheng et al.
• Autocoderover: Autonomous Program Improvement (2024) • ISSTA '24: 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis • 72 citations
  Zhang et al.
• Cross-attention Makes Inference Cumbersome In Text-to-image Diffusion Models (2024) • No Venue
  Zhang et al.
• Code Representation Learning At Scale (2024) • No Venue
  Zhang et al.
• Chatscene: Knowledge-enabled Safety-critical Scenario Generation For Autonomous Vehicles (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 36 citations
  Jiawei Zhang, Chejian Xu, Bo Li
• Benchmarking Trustworthiness Of Multimodal Large Language Models: A Comprehensive Study (2024) • No Venue
  Zhang et al.
• Walert: Putting Conversational Search Knowledge Into Action By Building And Evaluating A Large Language Model-powered Chatbot (2024) • CHIIR '24: 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval • 10 citations
  Cherumanal et al.
• B-avibench: Towards Evaluating The Robustness Of Large Vision-language Model On Black-box Adversarial Visual-instructions (2024) • IEEE Transactions on Information Forensics and Security • 12 citations
  Zhang et al.
• Are Large Language Models Good At Utility Judgments? (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 13 citations
  Zhang et al.
• M-longdoc: A Benchmark For Multimodal Super-long Document Understanding And A Retrieval-aware Tuning Framework (2024) • No Venue
  Chia et al.
• Retrieval-augmented Generation In Multilingual Settings (2024) • Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024) • 12 citations
  Chirkova et al.
• Allhands: Ask Me Anything On Large-scale Verbatim Feedback Via Large Language Models (2024) • No Venue
  Zhang et al.
• Multi-intent-aware Session-based Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 16 citations
  Choi et al.
• Visionllama: A Unified Llama Interface For Vision Tasks (2024) • No Venue
  Chu et al.
• A Performance Study Of Llm-generated Code On Leetcode (2024) • EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering • 50 citations
  Tristan Coignion, Clément Quinton, Romain Rouvoy
• Contextcite: Attributing Model Generation To Context (2024) • No Venue
  Cohen-Wang et al.
• High-quality Image Restoration Following Human Instructions (2024) • No Venue
  Marcos V. Conde, Gregor Geigle, Radu Timofte
• Sambalingo: Teaching Large Language Models New Languages (2024) • No Venue
  Csaki et al.
• Origen:enhancing RTL Code Generation With Code-to-code Augmentation And Self-reflection (2024) • ICCAD '24: 43rd IEEE/ACM International Conference on Computer-Aided Design • 22 citations
  Cui et al.
• NVLM: Open Frontier-class Multimodal Llms (2024) • No Venue
  Dai et al.
• RACER: Rich Language-guided Failure Recovery Policies For Imitation Learning (2024) • No Venue
  Dai et al.
• RLHF Workflow: From Reward Modeling To Online RLHF (2024) • No Venue
  Dong et al.
• Swiftbrush V2: Make Your One-step Diffusion Model Better Than Its Teacher (2024) • No Venue
  Dao et al.
• How Good Is Chatgpt At Face Biometrics? A First Look Into Recognition, Soft Biometrics, And Explainability (2024) • IEEE Access • 37 citations
  Deandres-Tame et al.
• The Road Less Scheduled (2024) • No Venue
  Defazio et al.
• Molmo And Pixmo: Open Weights And Open Data For State-of-the-art Multimodal Models (2024) • No Venue
  Deitke et al.
• Autoregressive Video Generation Without Vector Quantization (2024) • No Venue
  Deng et al.
• Wildvis: Open Source Visualizer For Million-scale Chat Logs In The Wild (2024) • No Venue
  Deng et al.
• Retrievegpt: Merging Prompts And Mathematical Models For Enhanced Code-mixed Information Retrieval (2024) • No Venue
  Aniket Deroy, Subhankar Maity
• Unveiling Encoder-free Vision-language Models (2024) • No Venue
  Diao et al.
• Autogen Studio: A No-code Developer Tool For Building And Debugging Multi-agent Systems (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 10 citations
  Dibia et al.
• CYCLE: Learning To Self-refine The Code Generation (2024) • Proceedings of the ACM on Programming Languages • 24 citations
  Ding et al.
• Sam2long: Enhancing SAM 2 For Long Video Segmentation With A Training-free Memory Tree (2024) • No Venue
  Ding et al.
• Toward General Instruction-following Alignment For Retrieval-augmented Generation (2024) • No Venue
  Dong et al.
• Understand What LLM Needs: Dual Preference Alignment For Retrieval-augmented Generation (2024) • WWW '25: The ACM Web Conference 2025 • 16 citations
  Dong et al.
• Chinese Tiny LLM: Pretraining A Chinese-centric Large Language Model (2024) • No Venue
  Du et al.
• The Sharelm Collection And Plugin: Contributing Human-model Chats For The Benefit Of The Community (2024) • No Venue
  Shachar Don-Yehiya, Leshem Choshen, Omri Abend
• Stepcoder: Improve Code Generation With Reinforcement Learning From Compiler Feedback (2024) • No Venue
  Dou et al.
• Bitdistiller: Unleashing The Potential Of Sub-4-bit Llms Via Self-distillation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Du et al.
• Unlocking Continual Learning Abilities In Language Models (2024) • No Venue
  Du et al.
• Generalization-enhanced Code Vulnerability Detection Via Multi-task Instruction Fine-tuning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 14 citations
  Du et al.
• Instruction-guided Scene Text Recognition (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 14 citations
  Du et al.
• Stacking Your Transformers: A Closer Look At Model Growth For Efficient LLM Pre-training (2024) • No Venue
  Du et al.
• Cityllava: Efficient Fine-tuning For Vlms In City Scenario (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 16 citations
  Duan et al.
• Exvideo: Extending Video Diffusion Models Via Parameter-efficient Post-tuning (2024) • No Venue
  Duan et al.
• The Llama 3 Herd Of Models (2024) • No Venue
  Dubey et al.
• Lumberchunker: Long-form Narrative Document Segmentation (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 11 citations
  Duarte et al.
• Multi-line Ai-assisted Code Authoring (2024) • No Venue
  Dunay et al.
• Reformatted Alignment (2024) • No Venue
  Fan et al.
• Layerskip: Enabling Early Exit Inference And Self-speculative Decoding (2024) • No Venue
  Elhoushi et al.
• Scaling Rectified Flow Transformers For High-resolution Image Synthesis (2024) • No Venue
  Esser et al.
• Analyzing Prompt Influence On Automated Method Generation: An Empirical Study With Copilot (2024) • ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension • 10 citations
  Fagadau et al.
• Read Anywhere Pointed: Layout-aware GUI Screen Reading With Tree-of-lens Grounding (2024) • No Venue
  Fan et al.
• Can GPT-3.5 Generate And Code Discharge Summaries? (2024) • Journal of the American Medical Informatics Association • 21 citations
  Falis et al.
• LLM4PLC: Harnessing Large Language Models For Verifiable Programming Of Plcs In Industrial Control Systems (2024) • ICSE-SEIP '24: 46th International Conference on Software Engineering: Software Engineering in Practice • 35 citations
  Fakih et al.
• Scaling Sequential Recommendation Models With Transformers (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 15 citations
  Pablo Zivic, Hernan Vazquez, Jorge Sanchez
• PUMA: Empowering Unified MLLM With Multi-granular Visual Generation (2024) • No Venue
  Fang et al.
• Mmbench-video: A Long-form Multi-shot Benchmark For Holistic Video Understanding (2024) • No Venue
  Fang et al.
• Enhancing Noise Robustness Of Retrieval-augmented Language Models With Adaptive Adversarial Training (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Fang et al.
• Maskllm: Learnable Semi-structured Sparsity For Large Language Models (2024) • No Venue
  Fang et al.
• ESALE: Enhancing Code-summary Alignment Learning For Source Code Summarization (2024) • IEEE Transactions on Software Engineering • 14 citations
  Fang et al.
• Tinyfusion: Diffusion Transformers Learned Shallow (2024) • No Venue
  Fang et al.
• Croissantllm: A Truly Bilingual French-english Language Model (2024) • No Venue
  Faysse et al.
• FLUX That Plays Music (2024) • No Venue
  Fei et al.
• Fancyvideo: Towards Dynamic And Consistent Video Generation Via Cross-frame Textual Guidance (2024) • No Venue
  Feng et al.
• Cp-prompt: Composition-based Cross-modal Prompting For Domain-incremental Continual Learning (2024) • Proceedings of the 32nd ACM International Conference on Multimedia • 10 citations
  Feng et al.
• Tear: Improving Llm-based Machine Translation With Systematic Self-refinement (2024) • Findings of the Association for Computational Linguistics: NAACL 2025 • 14 citations
  Feng et al.
• Large Language Model-based Human-agent Collaboration For Complex Task Solving (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 10 citations
  Feng et al.
• Natural Language Reinforcement Learning (2024) • No Venue
  Feng et al.
• Nnsight And NDIF: Democratizing Access To Foundation Model Internals (2024) • No Venue
  Fiotto-Kaufman et al.
• RAG Foundry: A Framework For Enhancing Llms For Retrieval Augmented Generation (2024) • No Venue
  Fleischer et al.
• Magentic-one: A Generalist Multi-agent System For Solving Complex Tasks (2024) • Arxiv • 10 citations
  Fourney et al.
• Segment Any Text: A Universal Approach For Robust, Efficient And Adaptable Sentence Segmentation (2024) • No Venue
  Frohmann et al.
• In-context Imitation Learning Via Next-token Prediction (2024) • No Venue
  Fu et al.
• Autorag-hp: Automatic Online Hyper-parameter Tuning For Retrieval-augmented Generation (2024) • No Venue
  Fu et al.
• A Touch, Vision, And Language Dataset For Multimodal Alignment (2024) • No Venue
  Fu et al.
• Hardware Phi-1.5b: A Large Language Model Encodes Hardware Domain Specific Knowledge (2024) • 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC) • 13 citations
  Fu et al.
• Efficient LLM Scheduling By Learning To Rank (2024) • No Venue
  Fu et al.
• Efficiently Serving LLM Reasoning Programs With Certaindex (2024) • No Venue
  Fu et al.
• Mme-survey: A Comprehensive Survey On Evaluation Of Multimodal Llms (2024) • No Venue
  Fu et al.
• Rethinking Patch Dependence For Masked Autoencoders (2024) • No Venue
  Fu et al.
• Vision-language Consistency Guided Multi-modal Prompt Learning For Blind AI Generated Image Quality Assessment (2024) • IEEE Signal Processing Letters • 21 citations
  Fu et al.
• Large Scale Transfer Learning For Tabular Data Via Language Modeling (2024) • No Venue
  Josh Gardner, Juan C. Perdomo, Ludwig Schmidt
• Aligning Diffusion Models With Noise-conditioned Perception (2024) • No Venue
  Gambashidze et al.
• Language Models Scale Reliably With Over-training And On Downstream Tasks (2024) • No Venue
  Gadre et al.
• Language Models Are Surprisingly Fragile To Drug Names In Biomedical Benchmarks (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 13 citations
  Gallifant et al.
• Erasing Conceptual Knowledge From Language Models (2024) • No Venue
  Gandikota et al.
• Agentscope: A Flexible Yet Robust Multi-agent Platform (2024) • No Venue
  Gao et al.
• Autovcoder: A Systematic Framework For Automated Verilog Code Generation Using Llms (2024) • 2024 IEEE 42nd International Conference on Computer Design (ICCD) • 18 citations
  Gao et al.
• SPHINX-X: Scaling Data And Parameters For A Family Of Multi-modal Large Language Models (2024) • No Venue
  Gao et al.
• Portrait Video Editing Empowered By Multimodal Generative Priors (2024) • No Venue
  Gao et al.
• Units: A Unified Multi-task Time Series Model (2024) • Advances in Neural Information Processing Systems 37 • 24 citations
  Gao et al.
• Flowmind: Automatic Workflow Generation With Llms (2024) • No Venue
  Zeng et al.
• Skyeyegpt: Unifying Remote Sensing Vision-language Tasks Via Instruction Tuning With Large Language Model (2024) • ISPRS Journal of Photogrammetry and Remote Sensing • 68 citations
  Yang Zhan, Zhitong Xiong, Yuan Yuan
• Opencodeinterpreter: Integrating Code Generation With Execution And Refinement (2024) • No Venue
  Zheng et al.
• Better & Faster Large Language Models Via Multi-token Prediction (2024) • No Venue
  Gloeckle et al.
• AI And Generative AI For Research Discovery And Summarization (2024) • Harvard Data Science Review • 28 citations
  Mark Glickman, Yi Zhang
• Audio Dialogues: Dialogues Dataset For Audio And Music Understanding (2024) • No Venue
  Goel et al.
• Goldfinch: High Performance Rwkv/transformer Hybrid With Linear Pre-fill And Extreme Kv-cache Compression (2024) • No Venue
  Goldstein et al.
• Omnifusion Technical Report (2024) • No Venue
  Goncharova et al.
• AST-T5: Structure-aware Pretraining For Code Generation And Understanding (2024) • No Venue
  Linyuan Gong, Mostafa Elhoushi, Alvin Cheung
• DAMRO: Dive Into The Attention Mechanism Of LVLM To Reduce Object Hallucination (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Gong et al.
• Olmo: Accelerating The Science Of Language Models (2024) • No Venue
  Groeneveld et al.
• Priority Sampling Of Large Language Models For Compilers (2024) • No Venue
  Grubisic et al.
• Multimodal Table Understanding (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Zheng et al.
• Miniplm: Knowledge Distillation For Pre-training Language Models (2024) • No Venue
  Gu et al.
• Lapa: Latent Prompt Assist Model For Medical Visual Question Answering (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 12 citations
  Gu et al.
• Cruxeval: A Benchmark For Code Reasoning, Understanding And Execution (2024) • No Venue
  Gu et al.
• Towards Optimal Learning Of Language Models (2024) • No Venue
  Gu et al.
• RWKV-CLIP: A Robust Vision-language Representation Learner (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Gu et al.
• Normalizing Flows Are Capable Generative Models (2024) • No Venue
  Zhai et al.
• Moltailor: Tailoring Chemical Molecular Representation To Specific Tasks Via Text Prompts (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Guo et al.
• Codeeditorbench: Evaluating Code Editing Capability Of Large Language Models (2024) • No Venue
  Guo et al.
• Deepseek-coder: When The Large Language Model Meets Programming -- The Rise Of Code Intelligence (2024) • No Venue
  Guo et al.
• Initno: Boosting Text-to-image Diffusion Models Via Initial Noise Optimization (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Guo et al.
• Remote Sensing Chatgpt: Solving Remote Sensing Tasks With Chatgpt And Visual Models (2024) • IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium • 24 citations
  Guo et al.
• Pulid: Pure And Lightning ID Customization Via Contrastive Alignment (2024) • No Venue
  Guo et al.
• Sam2point: Segment Any 3D As Videos In Zero-shot And Promptable Manners (2024) • No Venue
  Guo et al.
• Vision Superalignment: Weak-to-strong Generalization For Vision Foundation Models (2024) • No Venue
  Guo et al.
• Openresearcher: Unleashing AI For Accelerated Scientific Research (2024) • No Venue
  Zheng et al.
• Large Language Models Powered Context-aware Motion Prediction In Autonomous Driving (2024) • 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 12 citations
  Zheng et al.
• Swe-bench-java: A Github Issue Resolving Benchmark For Java (2024) • No Venue
  Zan et al.
• Trans4d: Realistic Geometry-aware Transition For Compositional Text-to-4d Synthesis (2024) • No Venue
  Zeng et al.
• The Good And The Bad: Exploring Privacy Issues In Retrieval-augmented Generation (RAG) (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 48 citations
  Zeng et al.
• Meacap: Memory-augmented Zero-shot Image Captioning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Zeng et al.
• Ltx-video: Realtime Video Latent Diffusion (2024) • No Venue
  Hacohen et al.
• REPOEXEC: Evaluate Code Generation With A Repository-level Executable Benchmark (2024) • No Venue
  Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui
• Ezaudio: Enhancing Text-to-audio Generation With Efficient Diffusion Transformer (2024) • No Venue
  Hai et al.
• ACE: All-round Creator And Editor Following Instructions Via Diffusion Transformer (2024) • No Venue
  Han et al.
• Infinity: Scaling Bitwise Autoregressive Modeling For High-resolution Image Synthesis (2024) • No Venue
  Han et al.
• Transfer Learning For Text Diffusion Models (2024) • No Venue
  Han et al.
• Token-budget-aware LLM Reasoning (2024) • No Venue
  Han et al.
• Videoespresso: A Large-scale Chain-of-thought Dataset For Fine-grained Video Reasoning Via Core Frame Selection (2024) • No Venue
  Han et al.
• Neuzip: Memory-efficient Training And Inference With Dynamic Compression Of Neural Networks (2024) • No Venue
  Yongchang Hao, Yanshuai Cao, Lili Mou
• Llms: A Game-changer For Software Engineers? (2024) • BenchCouncil Transactions on Benchmarks, Standards and Evaluations • 12 citations
  Md Asraful Haque
• Mambavision: A Hybrid Mamba-transformer Vision Backbone (2024) • No Venue
  Ali Hatamizadeh, Jan Kautz
• Data Mixture Inference: What Do BPE Tokenizers Reveal About Their Training Data? (2024) • No Venue
  Hayase et al.
• Distill Visual Chart Reasoning Ability From Llms To Mllms (2024) • No Venue
  He et al.
• MLP-KAN: Unifying Deep Representation And Function Learning (2024) • No Venue
  He et al.
• Inference Performance Optimization For Large Language Models On Cpus (2024) • No Venue
  He et al.
• MA-LMM: Memory-augmented Large Multimodal Model For Long-term Video Understanding (2024) • No Venue
  He et al.
• Olympiadbench: A Challenging Benchmark For Promoting AGI With Olympiad-level Bilingual Multimodal Scientific Problems (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  He et al.
• In-context Example Selection Via Similarity Search Improves Low-resource Machine Translation (2024) • No Venue
  Armel Zebaze, Benoît Sagot, Rachel Bawden
• Reflections From The 2024 Large Language Model (LLM) Hackathon For Applications In Materials Science And Chemistry (2024) • No Venue
  Zimmermann et al.
• What Matters In Transformers? Not All Attention Is Needed (2024) • No Venue
  He et al.
• 3dgraphllm: Combining Semantic Graphs And Large Language Models For 3D Scene Understanding (2024) • No Venue
  Tatiana Zemskova, Dmitry Yudin
• A Piece Of Theatre: Investigating How Teachers Design LLM Chatbots To Assist Adolescent Cyberbullying Education (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 27 citations
  Hedderich et al.
• Streamingt2v: Consistent, Dynamic, And Extendable Long Video Generation From Text (2024) • No Venue
  Henschel et al.
• Superhuman Performance In Urology Board Questions By An Explainable Large Language Model Enabled For Context Integration Of The European Association Of Urology Guidelines: The Urobot Study (2024) • ESMO Real World Data and Digital Oncology • 13 citations
  Hetz et al.
• Llava-gemma: Accelerating Multimodal Foundation Models With A Compact Language Model (2024) • No Venue
  Hinck et al.
• Block Transformer: Global-to-local Language Modeling For Fast Inference (2024) • No Venue
  Ho et al.
• Margin-aware Preference Optimization For Aligning Diffusion Models Without Reference (2024) • No Venue
  Hong et al.
• Deepspeed-fastgen: High-throughput Text Generation For Llms Via MII And Deepspeed-inference (2024) • No Venue
  Holmes et al.
• Knowledge-to-sql: Enhancing SQL Generation With Data Expert LLM (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Hong et al.
• Decoding Compressed Trust: Scrutinizing The Trustworthiness Of Efficient Llms Under Compression (2024) • No Venue
  Hong et al.
• MLLM As Retriever: Interactively Learning Multimodal Retrieval For Embodied Agents (2024) • No Venue
  Yue et al.
• Textgrad: Automatic "differentiation" Via Text (2024) • No Venue
  Yuksekgonul et al.
• Stylebreeder: Exploring And Democratizing Artistic Styles Through Text-to-image Models (2024) • No Venue
  Zheng et al.
• ORPO: Monolithic Preference Optimization Without Reference Model (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 54 citations
  Jiwoo Hong, Noah Lee, James Thorne
• KV Prediction For Improved Time To First Token (2024) • No Venue
  Horton et al.
• Comparing Large Language Models And Human Programmers For Generating Programming Code (2024) • Advanced Science • 25 citations
  Wenpin Hou, Zhicheng Ji
• Geocode-gpt: A Large Language Model For Geospatial Code Generation Tasks (2024) • International Journal of Applied Earth Observation and Geoinformation • 11 citations
  Hou et al.
• Pangea: A Fully Open Multilingual Multimodal LLM For 39 Languages (2024) • No Venue
  Yue et al.
• Clinicalagent: Clinical Trial Multi-agent System With Large Language Model-based Reasoning (2024) • BCB '24: 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics • 14 citations
  Yue et al.
• Autovfx: Physically Realistic Video Editing From Natural Language Instructions (2024) • No Venue
  Hsu et al.
• Omnimedvqa: A New Large-scale Comprehensive Evaluation Benchmark For Medical LVLM (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Hu et al.
• Exploring Model Kinship For Merging Large Language Models (2024) • No Venue
  Hu et al.
• Automated Design Of Agentic Systems (2024) • No Venue
  Shengran Hu, Cong Lu, Jeff Clune
• Longrecipe: Recipe For Efficient Long Context Generalization In Large Languge Models (2024) • No Venue
  Hu et al.
• Openrlhf: An Easy-to-use, Scalable And High-performance RLHF Framework (2024) • No Venue
  Hu et al.
• Sara: High-efficient Diffusion Model Fine-tuning With Progressive Sparse Low-rank Adaptation (2024) • No Venue
  Hu et al.
• Vlsbench: Unveiling Visual Leakage In Multimodal Safety (2024) • No Venue
  Hu et al.
• Zigma: Zigzag Mamba Diffusion Model (2024) • No Venue
  Hu et al.
• Biomamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba (2024) • No Venue
  Yue et al.
• Deer-vla: Dynamic Inference Of Multimodal Large Language Models For Efficient Robot Execution (2024) • No Venue
  Yue et al.
• Trustagent: Towards Safe And Trustworthy Llm-based Agents (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 14 citations
  Hua et al.
• AIM: Adaptive Inference Of Multi-modal Llms Via Token Merging And Pruning (2024) • No Venue
  Zhong et al.
• Deciphering Cross-modal Alignment In Large Vision-language Models With Modality Integration Rate (2024) • No Venue
  Huang et al.
• Como: Controllable Motion Generation Through Language Guided Pose Code Editing (2024) • Lecture Notes in Computer Science • 16 citations
  Huang et al.
• Cross-modal Conditioned Reconstruction For Language-guided Medical Image Segmentation (2024) • IEEE Transactions on Medical Imaging • 10 citations
  Huang et al.
• LVCD: Reference-based Lineart Video Colorization With Diffusion Models (2024) • No Venue
  Zhitong Huang, Mohan Zhang, Jing Liao
• In-context Lora For Diffusion Transformers (2024) • No Venue
  Huang et al.
• LP++: A Surprisingly Strong Linear Probe For Few-shot CLIP (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Huang et al.
• LITA: Language Instructed Temporal-localization Assistant (2024) • No Venue
  Huang et al.
• Unist: A Prompt-empowered Universal Model For Urban Spatio-temporal Prediction (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 56 citations
  Yuan et al.
• Opencoder: The Open Cookbook For Top-tier Code Large Language Models (2024) • No Venue
  Huang et al.
• Bigcodebench: Benchmarking Code Generation With Diverse Function Calls And Complex Instructions (2024) • No Venue
  Zhuo et al.
• Advancing LLM Reasoning Generalists With Preference Trees (2024) • No Venue
  Yuan et al.
• Fully-fused Multi-layer Perceptrons On Intel Data Center Gpus (2024) • No Venue
  Yuan et al.
• Chatmusician: Understanding And Generating Music Intrinsically With LLM (2024) • No Venue
  Yuan et al.
• Qwen2.5-coder Technical Report (2024) • No Venue
  Hui et al.
• Sleeper Agents: Training Deceptive Llms That Persist Through Safety Training (2024) • No Venue
  Hubinger et al.
• Smaller Language Models Are Better Instruction Evolvers (2024) • No Venue
  Hui et al.
• Open-rag: Enhanced Retrieval-augmented Reasoning With Open-source Large Language Models (2024) • No Venue
  Islam et al.
• Gitchameleon: Unmasking The Version-switching Capabilities Of Code Generation Models (2024) • No Venue
  Islah et al.
• Mapcoder: Multi-agent Code Generation For Competitive Problem Solving (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 21 citations
  Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
• Agent-as-a-judge: Evaluate Agents With Agents (2024) • No Venue
  Zhuge et al.
• Language Models For Code Completion: A Practical Evaluation (2024) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 43 citations
  Izadi et al.
• Evaluating The Application Of Large Language Models To Generate Feedback In Programming Education (2024) • 2024 IEEE Global Engineering Education Conference (EDUCON) • 21 citations
  Sven Jacobs, Steffen Jaschke
• Leveraging Lecture Content For Improved Feedback: Explorations With GPT-4 And Retrieval Augmented Generation (2024) • 2024 36th International Conference on Software Engineering Education and Training (CSEE&T) • 10 citations
  Sven Jacobs, Steffen Jaschke
• ODIN: A Single Model For 2D And 3D Perception (2024) • No Venue
  Jain et al.
• OLA-VLM: Elevating Visual Perception In Multimodal Llms With Auxiliary Embedding Distillation (2024) • No Venue
  Jain et al.
• Debug Like A Human: A Large Language Model Debugger Via Verifying Runtime Execution Step-by-step (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 36 citations
  Li Zhong, Zilong Wang, Jingbo Shang
• Read, Watch And Scream! Sound Generation From Text And Video (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Jeong et al.
• Improving Medical Reasoning Through Retrieval And Self-reflection With Retrieval-augmented Large Language Models (2024) • Bioinformatics • 65 citations
  Jeong et al.
• Adaptive-rag: Learning To Adapt Retrieval-augmented Large Language Models Through Question Complexity (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 95 citations
  Jeong et al.
• Wavtokenizer: An Efficient Acoustic Discrete Codec Tokenizer For Audio Language Modeling (2024) • No Venue
  Ji et al.
• Astraios: Parameter-efficient Instruction Tuning Code Large Language Models (2024) • No Venue
  Zhuo et al.
• Prior Knowledge Integration Via LLM Encoding And Pseudo Event Regulation For Video Moment Retrieval (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 12 citations
  Jiang et al.
• Item-side Fairness Of Large Language Model-based Recommendation System (2024) • WWW '24: The ACM Web Conference 2024 • 26 citations
  Jiang et al.
• Chatrex: Taming Multimodal LLM For Joint Perception And Understanding (2024) • No Venue
  Jiang et al.
• Artprompt: ASCII Art-based Jailbreak Attacks Against Aligned Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Jiang et al.
• A Survey On Large Language Models For Code Generation (2024) • ACM Transactions on Software Engineering and Methodology • 23 citations
  Jiang et al.
• Cursorcore: Assist Programming Through Aligning Anything (2024) • No Venue
  Jiang et al.
• Hal-eval: A Universal And Fine-grained Hallucination Evaluation Framework For Large Vision Language Models (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 17 citations
  Jiang et al.
• Minference 1.0: Accelerating Pre-filling For Long-context Llms Via Dynamic Sparse Attention (2024) • No Venue
  Jiang et al.
• Mixtral Of Experts (2024) • No Venue
  Jiang et al.
• Uniaff: A Unified Representation Of Affordances For Tool Usage And Articulation With Vision-language Models (2024) • No Venue
  Yu et al.
• Speech Slytherin: Examining The Performance And Efficiency Of Mamba For Speech Separation, Recognition, And Synthesis (2024) • No Venue
  Jiang et al.
• Unlocking The Power Of Large Language Models For Entity Alignment (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Jiang et al.
• Randomized Autoregressive Visual Generation (2024) • No Venue
  Yu et al.
• Visrag: Vision-based Retrieval-augmented Generation On Multi-modality Documents (2024) • No Venue
  Yu et al.
• EDGE-LLM: Enabling Efficient Large Language Model Adaptation On Edge Devices Via Layerwise Unified Compression And Adaptive Layer Tuning And Voting (2024) • DAC '24: 61st ACM/IEEE Design Automation Conference • 27 citations
  Yu et al.
• Humaneval Pro And MBPP Pro: Evaluating Large Language Models On Self-invoking Code Generation (2024) • No Venue
  Yu et al.
• Outcome-refining Process Supervision For Code Generation (2024) • No Venue
  Yu et al.
• Boosting Continual Learning Of Vision-language Models Via Mixture-of-experts Adapters (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 68 citations
  Yu et al.
• Polynomial Composition Activations: Unleashing The Dynamics Of Large Language Models (2024) • No Venue
  Zhuo et al.
• Tod3cap: Towards 3D Dense Captioning In Outdoor Scenes (2024) • Lecture Notes in Computer Science • 11 citations
  Jin et al.
• Graph Chain-of-thought: Augmenting Large Language Models By Reasoning On Graphs (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 19 citations
  Jin et al.
• Can Chatgpt Support Developers? An Empirical Evaluation Of Large Language Models For Code Generation (2024) • MSR '24: 21st International Conference on Mining Software Repositories • 15 citations
  Jin et al.
• Pyramidal Flow Matching For Efficient Video Generative Modeling (2024) • No Venue
  Jin et al.
• LLM Maybe Longlm: Self-extend LLM Context Window Without Tuning (2024) • No Venue
  Jin et al.
• Video-lavit: Unified Video-language Pre-training With Decoupled Visual-motional Tokenization (2024) • No Venue
  Jin et al.
• A Survey On Llm-based Code Generation For Low-resource And Domain-specific Programming Languages (2024) • ACM Transactions on Software Engineering and Methodology • 11 citations
  Sathvik Joel, Jie Jw Wu, Fatemeh H. Fard
• Using Large Language Models For Generating Smart Contracts For Health Insurance From Textual Policies (2024) • Studies in Computational Intelligence • 10 citations
  Inwon Kang, William van Woensel, Oshani Seneviratne
• Fiddler: CPU-GPU Orchestration For Fast Inference Of Mixture-of-experts Models (2024) • No Venue
  Kamahori et al.
• Omniact: A Dataset And Benchmark For Enabling Multimodal Generalist Autonomous Agents For Desktop And Web (2024) • No Venue
  Kapoor et al.
• Prismatic Vlms: Investigating The Design Space Of Visually-conditioned Language Models (2024) • No Venue
  Karamcheti et al.
• Efficient Test-time Adaptation Of Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 41 citations
  Karmanov et al.
• Knowledge Navigator: Llm-guided Browsing Framework For Exploratory Search In Scientific Literature (2024) • No Venue
  Uri Katz, Mosh Levy, Yoav Goldberg
• Improving Steering And Verification In Ai-assisted Data Analysis With Interactive Task Decomposition (2024) • UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology • 28 citations
  Kazemitabaar et al.
• Codeaid: Evaluating A Classroom Deployment Of An Llm-based Programming Assistant That Balances Student And Educator Needs (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 163 citations
  Kazemitabaar et al.
• Exploring The Design Space Of Cognitive Engagement Techniques With Ai-generated Code For Enhanced Learning (2024) • IUI '25: 30th International Conference on Intelligent User Interfaces • 10 citations
  Kazemitabaar et al.
• Theoremllama: Transforming General-purpose Llms Into Lean4 Experts (2024) • No Venue
  Wang et al.
• Selfcodealign: Self-alignment For Code Generation (2024) • No Venue
  Wei et al.
• Investigating The Efficacy Of Large Language Models For Code Clone Detection (2024) • ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension • 11 citations
  Khajezade et al.
• Learning To Prompt With Text Only Supervision For Vision-language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Khattak et al.
• Beyond Code Generation: An Observational Study Of Chatgpt Usage In Software Engineering Practice (2024) • Proceedings of the ACM on Software Engineering • 49 citations
  Khojah et al.
• Leveraging Llms For Unsupervised Dense Retriever Ranking (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 18 citations
  Khramtsova et al.
• Hyperclova X Technical Report (2024) • No Venue
  Yoo et al.
• Why And When Llm-based Assistants Can Go Wrong: Investigating The Effectiveness Of Prompt-based Interactions For Software Help-seeking (2024) • IUI '24: 29th International Conference on Intelligent User Interfaces • 40 citations
  Anjali Khurana, Hari Subramonyam, Parmit K Chilana
• Enclap: Combining Neural Audio Codec And Audio-text Joint Embedding For Automated Audio Captioning (2024) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 13 citations
  Kim et al.
• Large Language Models Meet Collaborative Filtering: An Efficient All-round Llm-based Recommender System (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 77 citations
  Kim et al.
• Husky: A Unified, Open-source Language Agent For Multi-step Reasoning (2024) • No Venue
  Kim et al.
• Prometheus 2: An Open Source Language Model Specialized In Evaluating Other Language Models (2024) • No Venue
  Kim et al.
• Videoicl: Confidence-based Iterative In-context Learning For Out-of-distribution Video Understanding (2024) • No Venue
  Kim et al.
• Enhancing Programming Error Messages In Real Time With Generative AI (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 20 citations
  Kimmel et al.
• Visualwebarena: Evaluating Multimodal Agents On Realistic Visual Web Tasks (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Koh et al.
• Medsyn: Llm-based Synthetic Medical Text Generation Framework (2024) • Lecture Notes in Computer Science • 14 citations
  Kumichev et al.
• Promoai: Process Modeling With Generative AI (2024) • Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24} • 14 citations
  Kourani et al.
• Autowebglm: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent (2024) • No Venue
  Lai et al.
• Improving Visual Commonsense In Language Models Via Multiple Image Generation (2024) • No Venue
  Yariv et al.
• Analogcoder: Analog Circuit Design Via Training-free Code Generation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 33 citations
  Lai et al.
• Ehrcon: Dataset For Checking Consistency Between Unstructured Notes And Structured Tables In Electronic Health Records (2024) • No Venue
  Kwon et al.
• Gallop: Learning Global And Local Prompts For Vision-language Models (2024) • Lecture Notes in Computer Science • 19 citations
  Lafon et al.
• Step-dpo: Step-wise Preference Optimization For Long-chain Reasoning Of Llms (2024) • No Venue
  Lai et al.
• TÜLU 3: Pushing Frontiers In Open Language Model Post-training (2024) • No Venue
  Lambert et al.
• Rewardbench: Evaluating Reward Models For Language Modeling (2024) • No Venue
  Lambert et al.
• Internlm-math: Open Math Large Language Models Toward Verifiable Reasoning (2024) • No Venue
  Ying et al.
• Unlocking The Conversion Of Web Screenshots Into HTML Code With The Websight Dataset (2024) • No Venue
  Hugo Laurençon, Léo Tronchon, Victor Sanh
• Streammultidiffusion: Real-time Interactive Generation With Region-based Semantic Control (2024) • No Venue
  Lee et al.
• Prometheus-vision: Vision-language Model As A Judge For Fine-grained Evaluation (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 12 citations
  Lee et al.
• Stark: Social Long-term Multi-modal Conversation With Persona Commonsense Knowledge (2024) • No Venue
  Lee et al.
• Speech-massive: A Multilingual Speech Dataset For SLU And Beyond (2024) • No Venue
  Lee et al.
• Structlm: Towards Building Generalist Models For Structured Knowledge Grounding (2024) • No Venue
  Zhuang et al.
• Video-panda: Parameter-efficient Alignment For Encoder-free Video-language Models (2024) • No Venue
  Yi et al.
• Autocoder: Enhancing Code Large Language Model With Aiev-instruct (2024) • No Venue
  Bin Lei, Yuchen Li, Qiuwu Chen
• Materials Science In The Era Of Large Language Models: A Perspective (2024) • Digital Discovery • 59 citations
  Ge Lei, Ronan Docherty, Samuel J. Cooper
• Densefusion-1m: Merging Vision Experts For Comprehensive Multimodal Perception (2024) • No Venue
  Li et al.
• DALK: Dynamic Co-augmentation Of Llms And KG To Answer Alzheimer's Disease Questions With Scientific Literature (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 12 citations
  Li et al.
• 3DMIT: 3D Multi-modal Instruction Tuning For Scene Understanding (2024) • 2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) • 22 citations
  Li et al.
• Controlar: Controllable Image Generation With Autoregressive Models (2024) • No Venue
  Li et al.
• More Agents Is All You Need (2024) • No Venue
  Li et al.
• Knowcoder: Coding Structured Knowledge Into Llms For Universal Information Extraction (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Li et al.
• Dotamath: Decomposition Of Thought With Code Assistance And Self-correction For Mathematical Reasoning (2024) • No Venue
  Li et al.
• Direct Preference Knowledge Distillation For Large Language Models (2024) • No Venue
  Li et al.
• Deveval: A Manually-annotated Code Generation Benchmark Aligned With Real-world Code Repositories (2024) • No Venue
  Li et al.
• Focusllm: Scaling Llm's Context By Parallel Decoding (2024) • No Venue
  Li et al.
• Guiding Enumerative Program Synthesis With Large Language Models (2024) • Lecture Notes in Computer Science • 11 citations
  Yixuan Li, Julian Parsert, Elizabeth Polgreen
• GMAI-VL & GMAI-VL-5.5M: A Large Vision-language Model And A Comprehensive Multimodal Dataset Towards General Medical AI (2024) • No Venue
  Li et al.
• Groundinggpt:language Enhanced Multi-modal Grounding Model (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 25 citations
  Li et al.
• Hunyuan-dit: A Powerful Multi-resolution Diffusion Transformer With Fine-grained Chinese Understanding (2024) • No Venue
  Li et al.
• Images Are Achilles' Heel Of Alignment: Exploiting Visual Vulnerabilities For Jailbreaking Multimodal Large Language Models (2024) • Lecture Notes in Computer Science • 14 citations
  Li et al.
• Is Programming By Example Solved By Llms? (2024) • No Venue
  Wen-Ding Li, Kevin Ellis
• Llms For Relational Reasoning: How Far Are We? (2024) • LLM4Code '24: 1st International Workshop on Large Language Models for Code • 18 citations
  Li et al.
• Large Language Models Can Self-improve In Long-context Reasoning (2024) • No Venue
  Li et al.
• Lego:language Enhanced Multi-modal Grounding Model (2024) • No Venue
  Li et al.
• Llara: Supercharging Robot Learning Data For Vision-language Policy (2024) • No Venue
  Li et al.
• Llava-next-interleave: Tackling Multi-image, Video, And 3D In Large Multimodal Models (2024) • No Venue
  Li et al.
• Mix-ln: Unleashing The Power Of Deeper Layers By Combining Pre-ln And Post-ln (2024) • No Venue
  Pengxiang Li, Lu Yin, Shiwei Liu
• Making Text Embedders Few-shot Learners (2024) • No Venue
  Li et al.
• Mini-gemini: Mining The Potential Of Multi-modality Vision Language Models (2024) • No Venue
  Li et al.
• Red Teaming Visual Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 15 citations
  Li et al.
• One Prompt Word Is Enough To Boost Adversarial Robustness For Pre-trained Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Li et al.
• Omniflow: Any-to-any Generation With Multi-modal Rectified Flows (2024) • No Venue
  Li et al.
• Omnicorpus: A Unified Multimodal Corpus Of 10 Billion-level Images Interleaved With Text (2024) • No Venue
  Li et al.
• Seed-bench-2-plus: Benchmarking Multimodal Large Language Models With Text-rich Visual Comprehension (2024) • No Venue
  Li et al.
• Ruler: A Model-agnostic Method To Control Generated Length For Large Language Models (2024) • No Venue
  Li et al.
• Retrollm: Empowering Large Language Models To Retrieve Fine-grained Evidence Within Generation (2024) • No Venue
  Li et al.
• Rewriting The Code: A Simple Method For Large Language Model Augmented Code Search (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Haochen Li, Xin Zhou, Zhiqi Shen
• Socialgpt: Prompting Llms For Social Relation Reasoning Via Greedy Segment Optimization (2024) • No Venue
  Li et al.
• Split To Merge: Unifying Separated Modalities For Unsupervised Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Li et al.
• Synergen-vl: Towards Synergistic Image Understanding And Generation With Vision Experts And Token Folding (2024) • No Venue
  Li et al.
• The Dawn After The Dark: An Empirical Study On Factuality Hallucination In Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 42 citations
  Li et al.
• Uni-moe: Scaling Unified Multimodal Llms With Mixture Of Experts (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 22 citations
  Li et al.
• How Interpretable Are Reasoning Explanations From Prompting Large Language Models? (2024) • Findings of the Association for Computational Linguistics: NAACL 2024 • 12 citations
  Yeo et al.
• MIRAI: Evaluating LLM Agents For Event Forecasting (2024) • No Venue
  Ye et al.
• Voco-llama: Towards Vision Compression With Large Language Models (2024) • No Venue
  Ye et al.
• Openfedllm: Training Large Language Models On Decentralized Private Data Via Federated Learning (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 63 citations
  Ye et al.
• Cautious Optimizers: Improving Training With One Line Of Code (2024) • No Venue
  Liang et al.
• Can Language Models Replace Programmers? REPOCOD Says 'not Yet' (2024) • No Venue
  Liang et al.
• Internal Consistency And Self-feedback In Large Language Models: A Survey (2024) • No Venue
  Liang et al.
• I-SHEEP: Self-alignment Of LLM From Scratch Through An Iterative Self-enhancement Paradigm (2024) • No Venue
  Liang et al.
• Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts (2024) • Proceedings of the ACM on Software Engineering • 11 citations
  Liang et al.
• Learning To Learn Faster From Human Feedback With Language Model Predictive Control (2024) • No Venue
  Liang et al.
• Step-aware Preference Optimization: Aligning Preference With Denoising Performance At Each Step (2024) • No Venue
  Liang et al.
• WAFFLE: Multi-modal Model For Automated Front-end Development (2024) • No Venue
  Liang et al.
• Gemma Scope: Open Sparse Autoencoders Everywhere All At Once On Gemma 2 (2024) • No Venue
  Lieberum et al.
• Correctable Landmark Discovery Via Large Models For Vision-language Navigation (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 11 citations
  Lin et al.
• Navcot: Boosting Llm-based Vision-and-language Navigation Via Learning Disentangled Reasoning (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 18 citations
  Lin et al.
• Llm-based Optimization Of Compound AI Systems: A Survey (2024) • No Venue
  Lin et al.
• Moe-llava: Mixture Of Experts For Large Vision-language Models (2024) • No Venue
  Lin et al.
• Progressive Pretext Task Learning For Human Trajectory Prediction (2024) • Lecture Notes in Computer Science • 15 citations
  Lin et al.
• Pixwizard: Versatile Image-to-image Visual Assistant With Open-language Instructions (2024) • No Venue
  Lin et al.
• Open-sora Plan: Open-source Large Video Generation Model (2024) • No Venue
  Lin et al.
• Tracking Meets Lora: Faster Training, Larger Model, Stronger Performance (2024) • Lecture Notes in Computer Science • 35 citations
  Lin et al.
• Livebench: A Challenging, Contamination-free LLM Benchmark (2024) • No Venue
  White et al.
• Uncertainty Quantification For In-context Learning Of Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 15 citations
  Ling et al.
• Codexgraph: Bridging Large Language Models And Code Repositories Via Code Graph Databases (2024) • No Venue
  Liu et al.
• Fictitious Synthetic Data Can Improve LLM Factuality Via Prerequisite Learning (2024) • No Venue
  Liu et al.
• Dynamem: Online Dynamic Spatio-semantic Memory For Open World Mobile Manipulation (2024) • No Venue
  Liu et al.
• Efficient Detection Of Toxic Prompts In Large Language Models (2024) • No Venue
  Liu et al.
• Fka-owl: Advancing Multimodal Fake News Detection Through Knowledge-augmented Lvlms (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 27 citations
  Liu et al.
• Improving Long-text Alignment For Text-to-image Diffusion Models (2024) • No Venue
  Liu et al.
• Infini-gram: Scaling Unbounded N-gram Language Models To A Trillion Tokens (2024) • No Venue
  Liu et al.
• Kangaroo: Lossless Self-speculative Decoding Via Double Early Exiting (2024) • No Venue
  Liu et al.
• Logomotion: Visually Grounded Code Generation For Content-aware Animation (2024) • No Venue
  Liu et al.
• LLM-ESR: Large Language Models Enhancement For Long-tailed Sequential Recommendation (2024) • Advances in Neural Information Processing Systems 37 • 10 citations
  Liu et al.
• Llmembed: Rethinking Lightweight Llm's Genuine Function In Text Classification (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Liu et al.
• Regmix: Data Mixture As Regression For Language Model Pre-training (2024) • No Venue
  Liu et al.
• Oryx MLLM: On-demand Spatial-temporal Understanding At Arbitrary Resolution (2024) • No Venue
  Liu et al.
• NVILA: Efficient Frontier Visual Language Models (2024) • No Venue
  Liu et al.
• Propertygpt: Llm-driven Formal Verification Of Smart Contracts Through Retrieval-augmented Property Generation (2024) • Network and Distributed System Security Symposium • 27 citations
  Liu et al.
• Think While You Generate: Discrete Diffusion With Planned Denoising (2024) • No Venue
  Liu et al.
• Semanticodec: An Ultra Low Bitrate Semantic Audio Codec For General Sound (2024) • No Venue
  Liu et al.
• Rm-bench: Benchmarking Reward Models Of Language Models With Subtlety And Style (2024) • No Venue
  Liu et al.
• Sequential Recommendation For Optimizing Both Immediate Feedback And Long-term Retention (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 14 citations
  Liu et al.
• Tuning Language Models By Proxy (2024) • No Venue
  Liu et al.
• Visualagentbench: Towards Large Multimodal Models As Visual Foundation Agents (2024) • No Venue
  Liu et al.
• Longvlm: Efficient Long Video Understanding Via Large Language Models (2024) • Lecture Notes in Computer Science • 29 citations
  Weng et al.
• Small Language Model Meets With Reinforced Vision Vocabulary (2024) • No Venue
  Wei et al.
• Omniedit: Building Image Editing Generalist Models Through Specialist Supervision (2024) • No Venue
  Wei et al.
• Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder For Fast, Memory Efficient, And Long Context Finetuning And Inference (2024) • No Venue
  Warner et al.
• Long-form Factuality In Large Language Models (2024) • No Venue
  Wei et al.
• Arctic-snowcoder: Demystifying High-quality Data In Code Pretraining (2024) • No Venue
  Yuxiang Wei, Hojae Han, Rajhans Samdani
• Muchomusic: Evaluating Music Understanding In Multimodal Audio-language Models (2024) • No Venue
  Weck et al.
• Improve Mathematical Reasoning In Language Models By Automated Process Supervision (2024) • No Venue
  Luo et al.
• A Closer Look Into Mixture-of-experts In Large Language Models (2024) • No Venue
  Lo et al.
• Awaker2.5-vl: Stably Scaling Mllms With Parameter-efficient Mixture Of Experts (2024) • No Venue
  Long et al.
• A System For Automated Unit Test Generation Using Large Language Models And Assessment Of Generated Test Suites (2024) • 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) • 10 citations
  Lops et al.
• Roleplay-doh: Enabling Domain-experts To Create Llm-simulated Patients Via Eliciting And Adhering To Principles (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Louie et al.
• Starcoder 2 And The Stack V2: The Next Generation (2024) • No Venue
  Lozhkov et al.
• The AI Scientist: Towards Fully Automated Open-ended Scientific Discovery (2024) • No Venue
  Lu et al.
• Benchmarking Chinese Knowledge Rectification In Large Language Models (2024) • No Venue
  Lu et al.
• Step-controlled DPO: Leveraging Stepwise Error For Enhanced Mathematical Reasoning (2024) • No Venue
  Lu et al.
• From GPT-4 To Gemini And Beyond: Assessing The Landscape Of Mllms On Generalizability, Trustworthiness And Causality Through Four Modalities (2024) • No Venue
  Lu et al.
• Mathcoder2: Better Math Reasoning From Continued Pretraining On Model-translated Mathematical Code (2024) • No Venue
  Lu et al.
• Llamax: Scaling Linguistic Horizons Of LLM By Enhancing Translation Capabilities Beyond 100 Languages (2024) • No Venue
  Lu et al.
• Task Preference Optimization: Improving Multimodal Large Language Models With Vision Task Alignment (2024) • No Venue
  Yan et al.
• Vision-and-language Navigation Via Causal Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Wang et al.
• Nus-emo At Semeval-2024 Task 3: Instruction-tuning LLM For Multimodal Emotion-cause Analysis In Conversations (2024) • Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) • 11 citations
  Luo et al.
• Molar: Multimodal Llms With Collaborative Filtering Alignment For Enhanced Sequential Recommendation (2024) • No Venue
  Luo et al.
• Repoagent: An Llm-powered Open-source Framework For Repository-level Code Documentation Generation (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 20 citations
  Luo et al.
• Oneke: A Dockerized Schema-guided LLM Agent-based Knowledge Extraction System (2024) • No Venue
  Luo et al.
• List Items One By One: A New Data Source And Learning Paradigm For Multimodal Llms (2024) • No Venue
  Yan et al.
• VISA: Reasoning Video Object Segmentation Via Large Language Models (2024) • Lecture Notes in Computer Science • 19 citations
  Yan et al.
• Poro 34B And The Blessing Of Multilinguality (2024) • No Venue
  Luukkonen et al.
• Aria Everyday Activities Dataset (2024) • No Venue
  Lv et al.
• PLACE: Adaptive Layout-semantic Fusion For Semantic Image Synthesis (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Lv et al.
• Enhancing Programming Education With Chatgpt: A Case Study On Student Perceptions And Interactions In A Python Course (2024) • Communications in Computer and Information Science • 19 citations
  Boxaun Ma, Li Chen, Shin'Ichi Konomi
• Compositional API Recommendation For Library-oriented Code Generation (2024) • ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension • 12 citations
  Ma et al.
• Inf-llava: Dual-perspective Perception For High-resolution Multimodal Large Language Model (2024) • No Venue
  Ma et al.
• Unifying Multimodal Retrieval Via Document Screenshot Embedding (2024) • No Venue
  Ma et al.
• Megalodon: Efficient LLM Pretraining And Inference With Unlimited Context Length (2024) • No Venue
  Ma et al.
• Mode: CLIP Data Experts Via Clustering (2024) • No Venue
  Ma et al.
• Verilogreader: Llm-aided Hardware Test Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 21 citations
  Ma et al.
• LLM Agent Operating System (2024) • No Venue
  Mei et al.
• PALO: A Polyglot Large Multimodal Model For 5B People (2024) • No Venue
  Maaz et al.
• Harnessing The Power Of Llms In Source Code Vulnerability Detection (2024) • MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM) • 13 citations
  Andrew A Mahyari
• Codemmlu: A Multi-task Benchmark For Assessing Code Understanding Capabilities Of Codellms (2024) • No Venue
  Manh et al.
• Dora: Enhancing Parameter-efficient Fine-tuning With Dynamic Rank Distribution (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Mao et al.
• Story-adapter: A Training-free Iterative Framework For Long Story Visualization (2024) • No Venue
  Mao et al.
• Magmax: Leveraging Model Merging For Seamless Continual Learning (2024) • Lecture Notes in Computer Science • 10 citations
  Marczak et al.
• Diffusekrona: A Parameter Efficient Fine-tuning Method For Personalized Diffusion Model (2024) • No Venue
  Marjit et al.
• Chartgemma: Visual Instruction-tuning For Chart Reasoning In The Wild (2024) • No Venue
  Masry et al.
• Test-driven Development For Code Generation (2024) • ASE '24: 39th IEEE/ACM International Conference on Automated Software Engineering • 11 citations
  Noble Saji Mathews, Meiyappan Nagappan
• Generative Artificial Intelligence In Higher Education: Evidence From An Analysis Of Institutional Policies And Guidelines (2024) • Computers in Human Behavior: Artificial Humans • 102 citations
  McDonald et al.
• Openelm: An Efficient Language Model Family With Open-source Training And Inference Framework (2024) • No Venue
  Mehta et al.
• Enhancing Educational Efficiency: Generative AI Chatbots And Devops In Education 4.0 (2024) • Computer Applications in Engineering Education • 10 citations
  Mekić et al.
• Anidoc: Animation Creation Made Easier (2024) • No Venue
  Meng et al.
• Pissa: Principal Singular Values And Singular Vectors Adaptation Of Large Language Models (2024) • Advances in Neural Information Processing Systems 37 • 15 citations
  Fanxu Meng, Zhaohui Wang, Muhan Zhang
• Chartassisstant: A Universal Chart Multimodal Language Model Via Chart-to-table Pre-training And Multitask Instruction Tuning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 28 citations
  Meng et al.
• Whiteboard-of-thought: Thinking Step-by-step Across Modalities (2024) • No Venue
  Sachit Menon, Richard Zemel, Carl Vondrick
• Dreamer XL: Towards High-resolution Text-to-3d Generation Via Trajectory Score Matching (2024) • No Venue
  Miao et al.
• Hybrid Preferences: Learning To Route Instances For Human Vs. AI Feedback (2024) • No Venue
  Miranda et al.
• Youdream: Generating Anatomically Controllable Consistent Text-to-3d Animals (2024) • No Venue
  Sandeep Mishra, Oindrila Saha, Alan C. Bovik
• Agentinstruct: Toward Generative Teaching With Agentic Flows (2024) • No Venue
  Mitra et al.
• Bridging The Gap Between 2D And 3D Visual Question Answering: A Fusion Approach For 3D VQA (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Wentao Mo, Yang Liu
• Dynamic Prompt Optimizing For Text-to-image Generation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Mo et al.
• LLM Guided Evolution -- The Automation Of Models Advancing Models (2024) • GECCO '24: Genetic and Evolutionary Computation Conference • 21 citations
  Clint Morris, Michael Jurado, Jason Zutty
• Yolov9: Learning What You Want To Learn Using Programmable Gradient Information (2024) • No Venue
  Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
• ROS-LLM: A ROS Framework For Embodied AI With Task Feedback And Structured Reasoning (2024) • No Venue
  Mower et al.
• Bimedix2: Bio-medical Expert LMM For Diverse Medical Modalities (2024) • No Venue
  Mullappilly et al.
• Olmoe: Open Mixture-of-experts Language Models (2024) • No Venue
  Muennighoff et al.
• A Multi-expert Large Language Model Architecture For Verilog Code Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 18 citations
  Bardia Nadimi, Hao Zheng
• Compact Language Models Via Pruning And Knowledge Distillation (2024) • No Venue
  Muralidharan et al.
• Xmodel-lm Technical Report (2024) • No Venue
  Wang et al.
• Aurora-m: The First Open Source Multilingual Language Model Red-teamed According To The U.S. Executive Order (2024) • No Venue
  Nakamura et al.
• When Precision Meets Position: Bfloat16 Breaks Down Rope In Long-context Training (2024) • No Venue
  Wang et al.
• Yesbut: A High-quality Annotated Multimodal Dataset For Evaluating Satire Comprehension Capability Of Vision-language Models (2024) • No Venue
  Nandy et al.
• Robocasa: Large-scale Simulation Of Everyday Tasks For Generalist Robots (2024) • No Venue
  Nasiriany et al.
• Tokenformer: Rethinking Transformer Scaling With Tokenized Model Parameters (2024) • No Venue
  Wang et al.
• A Universal Prompting Strategy For Extracting Process Model Information From Natural Language Text Using Large Language Models (2024) • Lecture Notes in Computer Science • 13 citations
  Neuberger et al.
• Exploring Vision-language Models For Imbalanced Learning (2023) • International Journal of Computer Vision • 24 citations
  Wang et al.
• Interpolating Between Images With Diffusion Models (2023) • No Venue
  Clinton J. Wang, Polina Golland
• Large Language Models (GPT) For Automating Feedback On Programming Assignments (2023) • International Conference on Computers in Education • 33 citations
  MacIej Pankiewicz, Ryan S. Baker
• FLIP: Fine-grained Alignment Between Id-based Models And Pretrained Language Models For CTR Prediction (2023) • RecSys '24: 18th ACM Conference on Recommender Systems • 10 citations
  Wang et al.
• How Far Can Camels Go? Exploring The State Of Instruction Tuning On Open Resources (2023) • Arxiv • 36 citations
  Wang et al.
• Evaluating GPT-3 Generated Explanations For Hateful Content Moderation (2023) • Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23} • 19 citations
  Wang et al.
• Shall We Pretrain Autoregressive Language Models With Retrieval? A Comprehensive Study (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Wang et al.
• Unleashing Cognitive Synergy In Large Language Models: A Task-solving Agent Through Multi-persona Self-collaboration (2023) • No Venue
  Wang et al.
• VIGC: Visual Instruction Generation And Correction (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  Wang et al.
• VL-GPT: A Generative Pre-trained Transformer For Vision And Language Understanding And Generation (2023) • No Venue
  Zhu et al.
• Voyager: An Open-ended Embodied Agent With Large Language Models (2023) • No Venue
  Wang et al.
• Zero-shot Next-item Recommendation Using Large Pretrained Language Models (2023) • Arxiv • 22 citations
  Lei Wang, Ee-Peng Lim
• Too Large; Data Reduction For Vision-language Pre-training (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 12 citations
  Wang et al.
• T-sciq: Teaching Multimodal Chain-of-thought Reasoning Via Mixed Large Language Model Signals For Science Question Answering (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 29 citations
  Wang et al.
• Solo: Data Discovery Using Natural Language Questions Via A Self-supervised Approach (2023) • Proceedings of the ACM on Management of Data • 10 citations
  Qiming Wang, Raul Castro Fernandez
• Stylerdalle: Language-guided Style Transfer Using A Vector-quantized Tokenizer Of A Large-scale Generative Model (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 11 citations
  Zipeng Xu, Enver Sangineto, Nicu Sebe
• Reason2drive: Towards Interpretable And Chain-based Reasoning For Autonomous Driving (2023) • Lecture Notes in Computer Science • 24 citations
  Nie et al.
• Learning Deep Semantics For Test Completion (2023) • 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) • 41 citations
  Nie et al.
• Multilegalpile: A 689GB Multilingual Legal Corpus (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 20 citations
  Niklaus et al.
• LEXTREME: A Multi-lingual And Multi-task Benchmark For The Legal Domain (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 26 citations
  Niklaus et al.
• Recent Advances In Direct Speech-to-text Translation (2023) • Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence • 21 citations
  Xu et al.
• Input Perturbation Reduces Exposure Bias In Diffusion Models (2023) • Arxiv • 10 citations
  Ning et al.
• HOICLIP: Efficient Knowledge Transfer For HOI Detection With Vision-language Models (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 63 citations
  Ning et al.
• Qa-lora: Quantization-aware Low-rank Adaptation Of Large Language Models (2023) • No Venue
  Xu et al.
• Re-reading Improves Reasoning In Large Language Models (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Xu et al.
• Lemur: Harmonizing Natural Language And Code For Language Agents (2023) • No Venue
  Xu et al.
• Evaluating GPT-3.5 And GPT-4 Models On Brazilian University Admission Exams (2023) • Arxiv • 24 citations
  Nunes et al.
• Bridging Vision And Language Encoders: Parameter-efficient Tuning For Referring Image Segmentation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 62 citations
  Xu et al.
• Demystifying CLIP Data (2023) • No Venue
  Xu et al.
• Creative Robot Tool Use With Large Language Models (2023) • No Venue
  Xu et al.
• Tokenize Anything Via Prompting (2023) • Lecture Notes in Computer Science • 23 citations
  Pan et al.
• Logic-lm: Empowering Large Language Models With Symbolic Solvers For Faithful Logical Reasoning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 64 citations
  Pan et al.
• Integrating Graphs With Large Language Models: Methods And Prospects (2023) • IEEE Intelligent Systems • 16 citations
  Shirui Pan, Yizhen Zheng, Yixin Liu
• Llm4vis: Explainable Visualization Recommendation Using Chatgpt (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 23 citations
  Wang et al.
• Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 69 citations
  Xu et al.
• Imagereward: Learning And Evaluating Human Preferences For Text-to-image Generation (2023) • Arxiv • 99 citations
  Xu et al.
• Mathcoder: Seamless Code Integration In Llms For Enhanced Mathematical Reasoning (2023) • No Venue
  Wang et al.
• How To Unleash The Power Of Large Language Models For Few-shot Relation Extraction? (2023) • Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) • 22 citations
  Xu et al.
• Knowledge-infused Prompting: Assessing And Advancing Clinical Text Data Generation With Large Language Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 12 citations
  Xu et al.
• Mitigating Fine-grained Hallucination By Fine-tuning Large Vision-language Models With Caption Rewrites (2023) • Lecture Notes in Computer Science • 23 citations
  Wang et al.
• Several Categories Of Large Language Models (llms): A Short Survey (2023) • International Journal for Research in Applied Science and Engineering Technology • 23 citations
  Saurabh Pahune, Manoj Chandrasekharan
• Missrec: Pre-training And Transferring Multi-modal Interest-aware Sequence Representation For Recommendation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 48 citations
  Wang et al.
• Blackvip: Black-box Visual Prompting For Robust Transfer Learning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Oh et al.
• Prompt-free Diffusion: Taking "text" Out Of Text-to-image Diffusion Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 29 citations
  Xu et al.
• Demystifying GPT Self-repair For Code Generation (2023) • No Venue
  Olausson et al.
• LINC: A Neurosymbolic Approach For Logical Reasoning By Combining Language Models With First-order Logic Provers (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Olausson et al.
• Recursively Summarizing Enables Long-term Dialogue Memory In Large Language Models (2023) • Neurocomputing • 11 citations
  Wang et al.
• Openp5: An Open-source Platform For Developing, Training, And Evaluating Llm-based Recommender Systems (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 19 citations
  Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
• Plan-and-solve Prompting: Improving Zero-shot Chain-of-thought Reasoning By Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 172 citations
  Wang et al.
• Prompt A Robot To Walk With Large Language Models (2023) • 2024 IEEE 63rd Conference on Decision and Control (CDC) • 17 citations
  Wang et al.
• Detecting Llm-generated Text In Computing Education: A Comparative Study For Chatgpt Cases (2023) • 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC) • 42 citations
  Orenstrakh et al.
• Metaphor Detection With Effective Context Denoising (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 14 citations
  Wang et al.
• ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities (2023) • Arxiv • 41 citations
  Wang et al.
• Drive Anywhere: Generalizable End-to-end Autonomous Driving With Multi-modal Foundation Models (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 23 citations
  Wang et al.
• Tracking Anything In High Quality (2023) • No Venue
  Zhu et al.
• Boosting The Power Of Small Multimodal Reasoning Models To Match Larger Models With Self-consistency Training (2023) • Lecture Notes in Computer Science • 11 citations
  Tan et al.
• Chatanything: Facetime Chat With Llm-enhanced Personas (2023) • No Venue
  Zhao et al.
• Show-1: Marrying Pixel And Latent Diffusion Models For Text-to-video Generation (2023) • No Venue
  Zhang et al.
• Udifftext: A Unified Framework For High-quality Text Synthesis In Arbitrary Images Via Character-aware Diffusion Models (2023) • Lecture Notes in Computer Science • 17 citations
  Yiming Zhao, Zhouhui Lian
• Can We Edit Factual Knowledge By In-context Learning? (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 32 citations
  Zheng et al.
• Gpt4all: An Ecosystem Of Open Source Compressed Language Models (2023) • No Venue
  Anand et al.
• Level Generation Through Large Language Models (2023) • FDG 2023: Foundations of Digital Games 2023 • 66 citations
  Todd et al.
• Llmseceval: A Dataset Of Natural Language Prompts For Security Evaluations (2023) • 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) • 31 citations
  Tony et al.
• Do Llms Exhibit Human-like Response Biases? A Case Study In Survey Design (2023) • Transactions of the Association for Computational Linguistics • 34 citations
  Tjuatja et al.
• Exploring The State Of The Art In Legal QA Systems (2023) • Journal of Big Data • 31 citations
  Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt
• On Codex Prompt Engineering For OCL Generation: An Empirical Study (2023) • 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) • 29 citations
  Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
• Trojanpuzzle: Covertly Poisoning Code-suggestion Models (2023) • 2024 IEEE Symposium on Security and Privacy (SP) • 23 citations
  Aghakhani et al.
• Automatic Semantic Augmentation Of Language Model Prompts (for Code Summarization) (2023) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 62 citations
  Ahmed et al.
• Better Patching Using LLM Prompting, Via Self-consistency (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 31 citations
  Toufique Ahmed, Premkumar Devanbu
• Point-peft: Parameter-efficient Fine-tuning For 3D Pre-trained Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 12 citations
  Tang et al.
• Struc-bench: Are Large Language Models Really Good At Generating Complex Structured Data? (2023) • No Venue
  Tang et al.
• Bubogpt: Enabling Visual Grounding In Multi-modal Llms (2023) • No Venue
  Zhao et al.
• Medagents: Large Language Models As Collaborators For Zero-shot Medical Reasoning (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 63 citations
  Tang et al.
• Antgpt: Can Large Language Models Help Long-term Action Anticipation From Videos? (2023) • No Venue
  Zhao et al.
• SALMONN: Towards Generic Hearing Abilities For Large Language Models (2023) • No Venue
  Tang et al.
• Can Language Models Employ The Socratic Method? Experiments With Code Debugging (2023) • SIGCSE 2024: The 55th ACM Technical Symposium on Computer Science Education • 16 citations
  Al-Hossami et al.
• Traces Of Memorisation In Large Language Models For Code (2023) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 19 citations
  Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen
• Extending Source Code Pre-trained Language Models To Summarise Decompiled Binaries (2023) • 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) • 21 citations
  Al-Kaswan et al.
• The (ab)use Of Open Source Code To Train Large Language Models (2023) • 2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE) • 18 citations
  Ali Al-Kaswan, Maliheh Izadi
• Layoutnuwa: Revealing The Hidden Layout Expertise Of Large Language Models (2023) • No Venue
  Tang et al.
• Found In The Middle: Permutation Self-consistency Improves Listwise Ranking In Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Tang et al.
• Automatic Model Selection With Large Language Models For Reasoning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Zhao et al.
• Enhancing Dialogue Generation Via Dynamic Graph Knowledge Aggregation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Tang et al.
• Fluctuation-based Adaptive Structured Pruning For Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  An et al.
• Biocoder: A Benchmark For Bioinformatics Code Generation With Contextual Pragmatic Knowledge (2023) • No Venue
  Tang et al.
• Learning From Mistakes Makes LLM Better Reasoner (2023) • No Venue
  An et al.
• NAYER: Noisy Layer Data Generation For Efficient And Effective Data-free Knowledge Distillation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Tran et al.
• Spellburst: A Node-based Interface For Exploratory Creative Coding With Natural Language Prompts (2023) • UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology • 48 citations
  Angert et al.
• Llms For Knowledge Graph Construction And Reasoning: Recent Capabilities And Future Opportunities (2023) • World Wide Web • 153 citations
  Zhu et al.
• Slade: A Portable Small Language Model Decompiler For Optimized Assembly (2023) • 2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) • 20 citations
  Armengol-Estapé et al.
• Language Models Enable Simple Systems For Generating Structured Views Of Heterogeneous Data Lakes (2023) • Proceedings of the VLDB Endowment • 44 citations
  Arora et al.
• Loft: Enhancing Faithfulness And Diversity For Table-to-text Generation Via Logic Form Control (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 14 citations
  Zhao et al.
• SINC: Spatial Composition Of 3D Human Motions For Simultaneous Action Generation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 35 citations
  Athanasiou et al.
• Generating Visual Spatial Description Via Holistic 3D Scene Understanding (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 38 citations
  Zhao et al.
• Openflamingo: An Open-source Framework For Training Large Autoregressive Vision-language Models (2023) • No Venue
  Awadalla et al.
• Chatgpt Is A Remarkable Tool -- For Experts (2023) • Data Intelligence • 78 citations
  Amos Azaria, Rina Azoulay, Shulamit Reches
• Provable Robust Watermarking For Ai-generated Text (2023) • Arxiv • 16 citations
  Zhao et al.
• Ai-enhanced Auto-correction Of Programming Exercises: How Effective Is GPT-3.5? (2023) • International Journal of Engineering Pedagogy (iJEP) • 27 citations
  Imen Azaiz, Oliver Deckarm, Sven Strickroth
• Motiondirector: Motion Customization Of Text-to-video Diffusion Models (2023) • No Venue
  Zhao et al.
• Llemma: An Open Language Model For Mathematics (2023) • No Venue
  Azerbayev et al.
• Towards Benchmarking And Improving The Temporal Reasoning Capability Of Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Qingyu Tan, Hwee Tou Ng, Lidong Bing
• Can Chatgpt Replace Traditional KBQA Models? An In-depth Analysis Of The Question Answering Performance Of The GPT LLM Family (2023) • Lecture Notes in Computer Science • 70 citations
  Tan et al.
• Cat-vil: Co-attention Gated Vision-language Embedding For Visual Question Localized-answering In Robotic Surgery (2023) • Lecture Notes in Computer Science • 16 citations
  Long Bai, Mobarakol Islam, Hongliang Ren
• Qwen Technical Report (2023) • No Venue
  Bai et al.
• Longbench: A Bilingual, Multitask Benchmark For Long Context Understanding (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 56 citations
  Bai et al.
• Prompt-based Distribution Alignment For Unsupervised Domain Adaptation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 44 citations
  Bai et al.
• Explainable Claim Verification Via Knowledge-grounded Reasoning With Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Haoran Wang, Kai Shu
• Equivariant Similarity For Vision-language Foundation Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 17 citations
  Wang et al.
• Comparative Study Of Pre-trained BERT Models For Code-mixed Hindi-english Data (2023) • 2023 IEEE 8th International Conference for Convergence in Technology (I2CT) • 13 citations
  Patil et al.
• Codescope: An Execution-based Multilingual Multitask Multidimensional Benchmark For Evaluating Llms On Code Understanding And Generation (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Yan et al.
• Pg-video-llava: Pixel Grounding Large Video-language Models (2023) • No Venue
  Munasinghe et al.
• R2gengpt: Radiology Report Generation With Frozen Llms (2023) • Meta-Radiology • 113 citations
  Wang et al.
• LLM4VV: Developing Llm-driven Testsuite For Compiler Validation (2023) • Future Generation Computer Systems • 36 citations
  Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran
• Biot5: Enriching Cross-modal Integration In Biology With Chemical Knowledge And Natural Language Associations (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 30 citations
  Pei et al.
• Ai-assisted Code Authoring At Scale: Fine-tuning, Deploying, And Mixed Methods Evaluation (2023) • Proceedings of the ACM on Software Engineering • 14 citations
  Murali et al.
• Fingpt: Open-source Financial Large Language Models (2023) • SSRN Electronic Journal • 166 citations
  Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang
• SA\(^2\)VP: Spatially Aligned-and-adapted Visual Prompt (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Pei et al.
• Democratizing Reasoning Ability: Tailored Learning From Large Language Model (2023) • No Venue
  Wang et al.
• Using An LLM To Help With Code Understanding (2023) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 227 citations
  Nam et al.
• Element-aware Summarization With Large Language Models: Expert-aligned Evaluation And Chain-of-thought Method (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 30 citations
  Yiming Wang, Zhuosheng Zhang, Rui Wang
• Comparing Software Developers With Chatgpt: An Empirical Investigation (2023) • Arxiv • 32 citations
  Nathalia Nascimento, Paulo Alencar, Donald Cowan
• Llmatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization (2023) • GECCO '24: Genetic and Evolutionary Computation Conference • 23 citations
  Nasir et al.
• Chatcoder: Chat-based Refine Requirement Improves Llms' Code Generation (2023) • No Venue
  Wang et al.
• Bootstrapping Interactive Image-text Alignment For Remote Sensing Image Captioning (2023) • IEEE Transactions on Geoscience and Remote Sensing • 50 citations
  Cong Yang, Zuchao Li, Lefei Zhang
• Quantifying Valence And Arousal In Text With Multilingual Pre-trained Transformers (2023) • Lecture Notes in Computer Science • 10 citations
  Gonçalo Azevedo Mendes, Bruno Martins
• Caption Anything: Interactive Image Description With Diverse Multimodal Controls (2023) • Arxiv • 19 citations
  Wang et al.
• Bridging The Novice-expert Gap Via Models Of Decision-making: A Case Study On Remediating Math Mistakes (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 14 citations
  Wang et al.
• ALIP: Adaptive Language-image Pre-training With Synthetic Caption (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 36 citations
  Yang et al.
• Autoclip: Auto-tuning Zero-shot Classifiers For Vision-language Models (2023) • No Venue
  Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi
• Alignment For Honesty (2023) • No Venue
  Yang et al.
• Yarn: Efficient Context Window Extension Of Large Language Models (2023) • No Venue
  Peng et al.
• Prompting The Hidden Talent Of Web-scale Speech Models For Zero-shot Task Generalization (2023) • INTERSPEECH 2023 • 34 citations
  Peng et al.
• Attriclip: A Non-incremental Learner For Incremental Knowledge Learning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 36 citations
  Wang et al.
• Compositional Chain-of-thought Prompting For Large Multimodal Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 55 citations
  Mitra et al.
• Codet5+: Open Code Large Language Models For Code Understanding And Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 269 citations
  Wang et al.
• Octopus: Embodied Vision-language Programmer From Environmental Feedback (2023) • No Venue
  Yang et al.
• Med-flamingo: A Multimodal Medical Few-shot Learner (2023) • No Venue
  Moor et al.
• HARE: Explainable Hate Speech Detection With Step-by-step Reasoning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Yang et al.
• Empower Large Language Model To Perform Better On Industrial Domain-specific Question Answering (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 30 citations
  Yang et al.
• Human-centric Autonomous Systems With Llms For User Command Reasoning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) • 23 citations
  Yang et al.
• An Empirical Investigation Into The Use Of Image Captioning For Automated Software Documentation (2023) • 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) • 11 citations
  Moran et al.
• Text Embeddings Reveal (almost) As Much As Text (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 42 citations
  Morris et al.
• Leandojo: Theorem Proving With Retrieval-augmented Language Models (2023) • No Venue
  Yang et al.
• Dragondiffusion: Enabling Drag-style Manipulation On Diffusion Models (2023) • No Venue
  Mou et al.
• When To Show A Suggestion? Integrating Human Feedback In Ai-assisted Programming (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Mozannar et al.
• Psycot: Psychological Questionnaire As Powerful Chain-of-thought For Personality Detection (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 17 citations
  Yang et al.
• An Assessment Of Chatgpt On Log Data (2023) • Communications in Computer and Information Science • 18 citations
  Priyanka Mudgal, Rita Wouhaybi
• Octopack: Instruction Tuning Code Large Language Models (2023) • No Venue
  Muennighoff et al.
• Generating Benchmarks For Factuality Evaluation Of Language Models (2023) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Muhlgay et al.
• Exploring Continual Learning For Code Generation Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 11 citations
  Yadav et al.
• Automated Code Generation For Information Technology Tasks In YAML Through Large Language Models (2023) • 2023 60th ACM/IEEE Design Automation Conference (DAC) • 17 citations
  Pujar et al.
• From Copilot To Pilot: Towards AI Supported Software Development (2023) • Arxiv • 12 citations
  Rohith Pudari, Neil A. Ernst
• "it's Weird That It Knows What I Want": Usability And Interactions With Copilot For Novice Programmers (2023) • Arxiv • 21 citations
  Prather et al.
• Simple Synthetic Data Reduces Sycophancy In Large Language Models (2023) • No Venue
  Wei et al.
• Vary: Scaling Up The Vision Vocabulary For Large Vision-language Models (2023) • No Venue
  Wei et al.
• Magicoder: Source Code Is All You Need (2023) • No Venue
  Wei et al.
• Outlier Suppression+: Accurate Quantization Of Large Language Models By Equivalent And Optimal Shifting And Scaling (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 31 citations
  Wei et al.
• Llmrec: Large Language Models With Graph Augmentation For Recommendation (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 154 citations
  Wei et al.
• Copiloting The Copilots: Fusing Large Language Models With Completion Engines For Automated Program Repair (2023) • ESEC/FSE '23: 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering • 89 citations
  Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang
• Fully Autonomous Programming With Large Language Models (2023) • GECCO '23: Genetic and Evolutionary Computation Conference • 36 citations
  Liventsev et al.
• Safe-clip: Removing NSFW Concepts From Vision-and-language Models (2023) • Lecture Notes in Computer Science • 14 citations
  Poppi et al.
• Interpretable Long-form Legal Question Answering With Retrieval-augmented Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 52 citations
  Antoine Louis, Gijs van Dijck, Gerasimos Spanakis
• Autoregressive Omni-aware Outpainting For Open-vocabulary 360-degree Image Generation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Lu et al.
• An Empirical Study Of Scaling Instruct-tuned Large Multimodal Models (2023) • No Venue
  Lu et al.
• Llama-reviewer: Advancing Code Review Automation With Large Language Models Through Parameter-efficient Fine-tuning (2023) • 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) • 83 citations
  Lu et al.
• Bounding The Capabilities Of Large Language Models In Open Text Generation With Prompt Constraints (2023) • Findings of the Association for Computational Linguistics: EACL 2023 • 14 citations
  Lu et al.
• Chameleon: Plug-and-play Compositional Reasoning With Large Language Models (2023) • Arxiv • 91 citations
  Lu et al.
• Aligning Text-to-image Diffusion Models With Reward Backpropagation (2023) • No Venue
  Prabhudesai et al.
• Visual Language Pretrained Multiple Instance Zero-shot Transfer For Histopathology Images (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 89 citations
  Lu et al.
• SDXL: Improving Latent Diffusion Models For High-resolution Image Synthesis (2023) • No Venue
  Podell et al.
• Ai-assisted Coding: Experiments With GPT-4 (2023) • Arxiv • 30 citations
  Russell A Poldrack, Thomas Lu, Gašper Beguš
• Chatkbqa: A Generate-then-retrieve Framework For Knowledge Base Question Answering With Fine-tuned Large Language Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 43 citations
  Luo et al.
• Wizardcoder: Empowering Code Large Language Models With Evol-instruct (2023) • No Venue
  Luo et al.
• A Recipe For Scaling Up Text-to-video Generation With Text-free Videos (2023) • No Venue
  Wang et al.
• Codetransocean: A Comprehensive Multilingual Benchmark For Code Translation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Yan et al.
• Uniaudio: An Audio Foundation Model Toward Universal Audio Generation (2023) • No Venue
  Yang et al.
• Zhongjing: Enhancing The Chinese Medical Capabilities Of Large Language Model Through Expert Feedback And Real-world Multi-turn Dialogue (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 78 citations
  Yang et al.
• Urbanclip: Learning Text-enhanced Urban Region Profiling With Contrastive Language-image Pretraining From The Web (2023) • WWW '24: The ACM Web Conference 2024 • 43 citations
  Yan et al.
• Transforming Visual Scene Graphs To Image Captions (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Yang et al.
• One-dimensional Adapter To Rule Them All: Concepts, Diffusion Models And Erasing Applications (2023) • No Venue
  Lyu et al.
• Macaw-llm: Multi-modal Language Modeling With Image, Audio, Video, And Text Integration (2023) • No Venue
  Lyu et al.
• Deepcache: Accelerating Diffusion Models For Free (2023) • No Venue
  Xinyin Ma, Gongfan Fang, Xinchao Wang
• Eureka: Human-level Reward Design Via Coding Large Language Models (2023) • No Venue
  Ma et al.
• Lampilot: An Open Benchmark Dataset For Autonomous Driving With Language Model Programs (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 36 citations
  Ma et al.
• Is AI The Better Programming Partner? Human-human Pair Programming Vs. Human-ai Pair Programming (2023) • Arxiv • 11 citations
  Qianou Ma, Tongshuang Wu, Kenneth Koedinger
• Lms: Understanding Code Syntax And Semantics For Code Analysis (2023) • Arxiv • 16 citations
  Ma et al.
• Generative AI For Programming Education: Benchmarking Chatgpt, GPT-4, And Human Tutors (2023) • No Venue
  Phung et al.
• MM-REACT: Prompting Chatgpt For Multimodal Reasoning And Action (2023) • Arxiv • 78 citations
  Yang et al.
• Video-chatgpt: Towards Detailed Video Understanding Via Large Vision And Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 245 citations
  Maaz et al.
• Decoding Logic Errors: A Comparative Study On Bug Detection By Students And Large Language Models (2023) • ACE 2024: Australian Computing Education Conference • 24 citations
  MacNeil et al.
• Automix: Automatically Mixing Language Models (2023) • No Venue
  Madaan et al.
• Roco: Dialectic Multi-robot Collaboration With Large Language Models (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 90 citations
  Zhao Mandi, Shreeya Jain, Shuran Song
• Augmenting Language Models With Long-term Memory (2023) • No Venue
  Wang et al.
• Enhancing CLIP With GPT-4: Harnessing Visual Descriptions As Prompts (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 45 citations
  Maniparambil et al.
• Unitrec: A Unified Text-to-text Transformer And Joint Contrastive Learning Framework For Text-based Recommendation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 15 citations
  Mao et al.
• Anticipating User Needs: Insights From Design Fiction On Conversational Agents For Computational Thinking (2023) • Lecture Notes in Computer Science • 17 citations
  Penney et al.
• Towards Automatically Addressing Self-admitted Technical Debt: How Far Are We? (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 12 citations
  Antonio Mastropaolo, Massimiliano di Penta, Gabriele Bavota
• Improving Automatic VQA Evaluation Using Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Oscar Mañas, Benno Krojer, Aishwarya Agrawal
• NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Mei et al.
• How Generative AI Models Such As Chatgpt Can Be (mis)used In SPC Practice, Education, And Research? An Exploratory Study (2023) • Quality Engineering • 118 citations
  Megahed et al.
• Matcha-tts: A Fast TTS Architecture With Conditional Flow Matching (2023) • No Venue
  Mehta et al.
• Sentimentgpt: Exploiting GPT For Advanced Sentiment Analysis And Its Departure From Current Machine Learning (2023) • Arxiv • 36 citations
  Kiana Kheiri, Hamid Karimi
• From Text To Motion: Grounding GPT-4 In A Humanoid Robot "alter3" (2023) • No Venue
  Takahide Yoshida, Atsushi Masumori, Takashi Ikegami
• Xcodeeval: A Large Scale Multilingual Multitask Benchmark For Code Understanding, Generation, Translation And Retrieval (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
  Khan et al.
• Towards Fast And Accurate Image-text Retrieval With Self-supervised Fine-grained Alignment (2023) • IEEE Transactions on Multimedia • 17 citations
  Zhuang et al.
• Self-regulating Prompts: Foundational Model Adaptation Without Forgetting (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 134 citations
  Khattak et al.
• A Survey On Large Language Model (LLM) Security And Privacy: The Good, The Bad, And The Ugly (2023) • High-Confidence Computing • 691 citations
  Yao et al.
• Starvector: Generating Scalable Vector Graphics Code From Images (2023) • No Venue
  Rodriguez et al.
• Exploring The Potential Of Large Language Models To Generate Formative Programming Feedback (2023) • 2023 IEEE Frontiers in Education Conference (FIE) • 53 citations
  Natalie Kiesler, Dominic Lohr, Hieke Keuning
• Towards Unified Scene Text Spotting Based On Sequence Generation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Kil et al.
• BK-SDM: A Lightweight, Fast, And Cheap Version Of Stable Diffusion (2023) • Lecture Notes in Computer Science • 18 citations
  Kim et al.
• The Cot Collection: Improving Zero-shot And Few-shot Learning Of Language Models Via Chain-of-thought Fine-tuning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 31 citations
  Kim et al.
• Prometheus: Inducing Fine-grained Evaluation Capability In Language Models (2023) • No Venue
  Kim et al.
• Tree Of Clarifications: Answering Ambiguous Questions With Retrieval-augmented Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Kim et al.
• Large Language Models Are Temporal And Causal Reasoners For Video Question Answering (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Ko et al.
• MELTR: Meta Loss Transformer For Learning To Fine-tune Video Foundation Models (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Ko et al.
• CXR-CLIP: Toward Large Scale Chest X-ray Language-image Pre-training (2023) • Lecture Notes in Computer Science • 60 citations
  You et al.
• Better Zero-shot Reasoning With Role-play Prompting (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 99 citations
  Kong et al.
• Priority-centric Human Motion Generation In Discrete Latent Space (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 33 citations
  Kong et al.
• Promptrank: Unsupervised Keyphrase Extraction Using Prompt (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Kong et al.
• Idealgpt: Iteratively Decomposing Vision And Language Reasoning Via Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 25 citations
  You et al.
• Language To Rewards For Robotic Skill Synthesis (2023) • No Venue
  Yu et al.
• Sg-former: Self-guided Transformer With Evolving Token Reallocation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 50 citations
  Ren et al.
• Chatgpt For PLC/DCS Control Logic Generation (2023) • 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) • 33 citations
  Heiko Koziolek, Sten Gruener, Virendra Ashiwal
• Kandinsky: An Improved Text-to-image Synthesis With Image Prior And Latent Diffusion (2023) • No Venue
  Razzhigaev et al.
• Geochat: Grounded Large Vision-language Model For Remote Sensing (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 130 citations
  Kuckreja et al.
• High-fidelity Audio Compression With Improved RVQGAN (2023) • No Venue
  Kumar et al.
• Pixellm: Pixel Reasoning With Large Multimodal Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 46 citations
  Ren et al.
• Efficient Memory Management For Large Language Model Serving With Pagedattention (2023) • No Venue
  Kwon et al.
• Language Models As Zero-shot Trajectory Generators (2023) • IEEE Robotics and Automation Letters • 36 citations
  Teyun Kwon, Norman di Palo, Edward Johns
• LISA: Reasoning Segmentation Via Large Language Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 229 citations
  Lai et al.
• On Context Utilization In Summarization With Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Ravaut et al.
• Improving Zero-shot Visual Question Answering Via Large Language Models With Reasoning Question Prompts (2023) • MM '23: The 31st ACM International Conference on Multimedia • 21 citations
  Lan et al.
• A Systematic Study And Comprehensive Evaluation Of Chatgpt On Benchmark Datasets (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 41 citations
  Laskar et al.
• OBELICS: An Open Web-scale Filtered Dataset Of Interleaved Image-text Documents (2023) • No Venue
  Laurençon et al.
• Codechain: Towards Modular Code Generation Through Chain Of Self-revisions With Representative Sub-modules (2023) • No Venue
  Le et al.
• Hierspeech++: Bridging The Gap Between Semantic And Acoustic Representation Of Speech By Hierarchical Variational Inference For Zero-shot Speech Synthesis (2023) • No Venue
  Lee et al.
• Holistic Evaluation Of Text-to-image Models (2023) • No Venue
  Lee et al.
• OWQ: Outlier-aware Weight Quantization For Efficient Fine-tuning And Inference Of Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 29 citations
  Lee et al.
• Read-only Prompt Optimization For Vision-language Few-shot Learning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 42 citations
  Lee et al.
• Volcano: Mitigating Multimodal Hallucination Through Self-feedback Guided Revision (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 13 citations
  Lee et al.
• CAT-LM: Training Language Models On Aligned Code And Tests (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 31 citations
  Rao et al.
• Tree Of Thoughts: Deliberate Problem Solving With Large Language Models (2023) • No Venue
  Yao et al.
• Gloss Attention For Gloss-free Sign Language Translation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 50 citations
  Yin et al.
• Recexplainer: Aligning Large Language Models For Explaining Recommendation Models (2023) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 14 citations
  Lei et al.
• Creating A Dataset For High-performance Computing Code Translation Using Llms: A Bridge Between Openmp Fortran And C++ (2023) • 2023 IEEE High Performance Extreme Computing Conference (HPEC) • 10 citations
  Lei et al.
• Dynamic Nerfs For Soccer Scenes (2023) • No Venue
  Lewin et al.
• Can LLM Already Serve As A Database Interface? A Big Bench For Large-scale Database Grounded Text-to-sqls (2023) • No Venue
  Li et al.
• Acecoder: Utilizing Existing Code To Enhance Code Generation (2023) • Arxiv • 15 citations
  Li et al.
• Auto Mc-reward: Automated Dense Reward Design With Large Language Models For Minecraft (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Li et al.
• Chain Of Code: Reasoning With A Language Model-augmented Code Emulator (2023) • No Venue
  Li et al.
• Clipa-v2: Scaling CLIP Training With 81.1% Zero-shot Imagenet Accuracy Within A \10,000 Budget; An Extra 4,000 Unlocks 81.8% Accuracy (2023) • No Venue
  Xianhang Li, Zeyu Wang, Cihang Xie
• Coannotating: Uncertainty-guided Work Allocation Between Human And Large Language Models For Data Annotation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Li et al.
• Codeie: Large Code Generation Models Are Better Few-shot Information Extractors (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 36 citations
  Li et al.
• Discovering Spatio-temporal Rationales For Video Question Answering (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 18 citations
  Li et al.
• Distilling Large Vision-language Model With Out-of-distribution Generalizability (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 22 citations
  Li et al.
• Faster Diffusion: Rethinking The Role Of Unet Encoder In Diffusion Models (2023) • No Venue
  Li et al.
• Few-shot In-context Learning For Knowledge Base Question Answering (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 44 citations
  Li et al.
• How To Configure Good In-context Sequence For Visual Question Answering (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Li et al.
• Geolm: Empowering Language Models For Geospatially Grounded Language Understanding (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Li et al.
• Llama-vid: An Image Is Worth 2 Tokens In Large Language Models (2023) • Lecture Notes in Computer Science • 94 citations
  Yanwei Li, Chengyao Wang, Jiaya Jia
• Monkey: Image Resolution And Text Label Are Important Things For Large Multi-modal Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 88 citations
  Li et al.
• Multi-modality Is All You Need For Transferable Recommender Systems (2023) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 15 citations
  Li et al.
• Openba: An Open-sourced 15B Bilingual Asymmetric Seq2seq Model Pre-trained From Scratch (2023) • No Venue
  Li et al.
• PMET: Precise Model Editing In A Transformer (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 21 citations
  Li et al.
• Scigraphqa: A Large-scale Synthetic Multi-turn Question-answering Dataset For Scientific Graphs (2023) • Arxiv • 26 citations
  Shengzhi Li, Nima Tajbakhsh
• Seed-bench-2: Benchmarking Multimodal Large Language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 99 citations
  Li et al.
• Understanding Bugs In Multi-language Deep Learning Frameworks (2023) • 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC) • 11 citations
  Li et al.
• Structured Chain-of-thought Prompting For Code Generation (2023) • Arxiv • 17 citations
  Li et al.
• Starcoder: May The Source Be With You! (2023) • No Venue
  Li et al.
• Stylediffusion: Prompt-embedding Inversion For Text-based Editing (2023) • Arxiv • 12 citations
  Li et al.
• Symbolic Chain-of-thought Distillation: Small Models Can Also "think" Step-by-step (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Li et al.
• Tuna: Instruction Tuning Using Feedback From Large Language Models (2023) • No Venue
  Li et al.
• ZONE: Zero-shot Instruction-guided Local Editing (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 28 citations
  Li et al.
• Video Instance Matting (2023) • No Venue
  Li et al.
• Visual In-context Prompting (2023) • No Venue
  Li et al.
• AI For Low-code For AI (2023) • IUI '24: 29th International Conference on Intelligent User Interfaces • 13 citations
  Rao et al.
• Tcp:textual-based Class-aware Prompt Tuning For Visual-language Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
  Hantao Yao, Rui Zhang, Changsheng Xu
• Saynav: Grounding Large Language Models For Dynamic Planning To Navigation In New Environments (2023) • Proceedings of the International Conference on Automated Planning and Scheduling • 37 citations
  Rajvanshi et al.
• Coedit: Text Editing By Task-specific Instruction Tuning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 19 citations
  Raheja et al.
• Layoutllm-t2i: Eliciting Layout Guidance From LLM For Text-to-image Generation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 67 citations
  Qu et al.
• Whispering Llama: A Cross-modal Generative Error Correction Framework For Speech Recognition (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 24 citations
  Radhakrishnan et al.
• Dynosaur: A Dynamic Growth Paradigm For Instruction-tuning Data Curation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Yin et al.
• Exploring The Use Of Chatgpt As A Tool For Learning And Assessment In Undergraduate Computer Science Curriculum: Opportunities And Challenges (2023) • Arxiv • 57 citations
  Basit Qureshi
• Compositional Exemplars For In-context Learning (2023) • Arxiv • 24 citations
  Ye et al.
• FLASK: Fine-grained Language Model Evaluation Based On Alignment Skill Sets (2023) • No Venue
  Ye et al.
• Gpt-fathom: Benchmarking Large Language Models To Decipher The Evolutionary Path Towards GPT-4 And Beyond (2023) • No Venue
  Zheng et al.
• Proagent: From Robotic Process Automation To Agentic Process Automation (2023) • No Venue
  Ye et al.
• Altdiffusion: A Multilingual Text-to-image Diffusion Model (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 18 citations
  Ye et al.
• Drugassist: A Large Language Model For Molecule Optimization (2023) • Briefings in Bioinformatics • 21 citations
  Ye et al.
• Mplug-docowl: Modularized Multimodal Large Language Model For Document Understanding (2023) • No Venue
  Ye et al.
• Graph Masked Autoencoder For Sequential Recommendation (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 47 citations
  Yaowen Ye, Lianghao Xia, Chao Huang
• The Robots Are Here: Navigating The Generative AI Revolution In Computing Education (2023) • ITiCSE 2023: Innovation and Technology in Computer Science Education • 252 citations
  Prather et al.
• A Setwise Approach For Effective And Highly Efficient Zero-shot Ranking With Large Language Models (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 28 citations
  Zhuang et al.
• Large Language Models As Analogical Reasoners (2023) • No Venue
  Yasunaga et al.
• Prompting Multilingual Large Language Models To Generate Code-mixed Texts: The Case Of South East Asian Languages (2023) • Proceedings of the 6th Workshop on Computational Approaches to Linguistic Code-Switching • 11 citations
  Yong et al.
• From Word Models To World Models: Translating From Natural Language To The Probabilistic Language Of Thought (2023) • No Venue
  Wong et al.
• Natural Language Generation And Understanding Of Big Code For Ai-assisted Programming: A Review (2023) • Entropy • 98 citations
  Wong et al.
• Encouraging Divergent Thinking In Large Language Models Through Multi-agent Debate (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 119 citations
  Liang et al.
• Drugchat: Towards Enabling Chatgpt-like Capabilities On Drug Molecule Graphs (2023) • No Venue
  Liang et al.
• A Large-scale Survey On The Usability Of AI Programming Assistants: Successes And Challenges (2023) • Arxiv • 13 citations
  Jenny T. Liang, Chenyang Yang, Brad A. Myers
• GPT-4 Enhanced Multimodal Grounding For Autonomous Driving: Leveraging Cross-modal Attention With Large Language Models (2023) • Communications in Transportation Research • 63 citations
  Liao et al.
• Gentkg: Generative Forecasting On Temporal Knowledge Graph With Large Language Models (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 20 citations
  Liao et al.
• Scaling Session-based Transformer Recommendations Using Optimized Negative Sampling And Loss Functions (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 18 citations
  Wilm et al.
• Opening Up Chatgpt: Tracking Openness, Transparency, And Accountability In Instruction-tuned Text Generators (2023) • CUI '23: ACM conference on Conversational User Interfaces • 68 citations
  Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
• Dual-interest Factorization-heads Attention For Sequential Recommendation (2023) • Proceedings of the ACM Web Conference 2023 • 10 citations
  Lin et al.
• Beyond Prompts: Exploring The Design Space Of Mixed-initiative Co-creativity Systems (2023) • Proceedings of 14th International Conference on Computational Creativity (2023) 64-73 • 11 citations
  Lin et al.
• Gloss-free End-to-end Sign Language Translation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
  Lin et al.
• Match, Expand And Improve: Unsupervised Finetuning For Zero-shot Action Recognition With Language Knowledge (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 28 citations
  Lin et al.
• Mitigating The Alignment Tax Of RLHF (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Lin et al.
• Rella: Retrieval-enhanced Large Language Models For Lifelong Sequential Behavior Comprehension In Recommendation (2023) • WWW '24: The ACM Web Conference 2024 • 41 citations
  Lin et al.
• SPHINX: The Joint Mixing Of Weights, Tasks, And Visual Embeddings For Multi-modal Large Language Models (2023) • No Venue
  Lin et al.
• Univtg: Towards Unified Video-language Temporal Grounding (2023) • No Venue
  Lin et al.
• Freestyle Layout-to-image Synthesis (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 55 citations
  Xue et al.
• AI And The FCI: Can Chatgpt Project An Understanding Of Introductory Physics? (2023) • Arxiv • 37 citations
  Colin G. West
• Chatgpt Prompt Patterns For Improving Code Quality, Refactoring, Requirements Elicitation, And Software Design (2023) • Generative AI for Effective Software Development • 164 citations
  White et al.
• Deductive Verification Of Chain-of-thought Reasoning (2023) • Arxiv • 19 citations
  Ling et al.
• Exploring Parameter-efficient Fine-tuning Techniques For Code Generation With Large Language Models (2023) • ACM Transactions on Software Engineering and Methodology • 25 citations
  Weyssow et al.
• G-eval: NLG Evaluation Using GPT-4 With Better Human Alignment (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 441 citations
  Liu et al.
• Audioldm 2: Learning Holistic Audio Generation With Self-supervised Pretraining (2023) • No Venue
  Liu et al.
• Cachegen: KV Cache Compression And Streaming For Fast Large Language Model Serving (2023) • ACM SIGCOMM '24: ACM SIGCOMM 2024 Conference • 48 citations
  Liu et al.
• BOLAA: Benchmarking And Orchestrating Llm-augmented Autonomous Agents (2023) • No Venue
  Liu et al.
• Code Execution With Pre-trained Language Models (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 17 citations
  Liu et al.
• Fingpt: Democratizing Internet-scale Data For Financial Large Language Models (2023) • Arxiv • 22 citations
  Liu et al.
• Deeply Coupled Cross-modal Prompt Learning (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 10 citations
  Liu et al.
• Deja Vu: Contextual Sparsity For Efficient Llms At Inference Time (2023) • No Venue
  Liu et al.
• LLM-FP4: 4-bit Floating-point Quantized Transformers (2023) • No Venue
  Liu et al.
• Interpretable Online Log Analysis Using Large Language Models With Prompt Strategies (2023) • ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension • 26 citations
  Liu et al.
• Improved Baselines With Visual Instruction Tuning (2023) • No Venue
  Liu et al.
• Interngpt: Solving Vision-centric Tasks By Interacting With Chatgpt Beyond Language (2023) • Arxiv • 13 citations
  Liu et al.
• MMC: Advancing Multimodal Chart Understanding With Large-scale Instruction Tuning (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
  Liu et al.
• Mitigating Hallucination In Large Multi-modal Models Via Robust Instruction Tuning (2023) • Arxiv • 24 citations
  Liu et al.
• Metacloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis Via Meta-learning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Liu et al.
• LLM360: Towards Fully Transparent Open-source Llms (2023) • No Venue
  Liu et al.
• Mftcoder: Boosting Code Llms With Multitask Fine-tuning (2023) • No Venue
  Liu et al.
• Mmbench: Is Your Multi-modal Model An All-around Player? (2023) • Lecture Notes in Computer Science • 229 citations
  Liu et al.
• Ml-bench: Large Language Models Leverage Open-source Libraries For Machine Learning Tasks (2023) • No Venue
  Liu et al.
• ONCE: Boosting Content-based Recommendation With Both Open- And Closed-source Large Language Models (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 72 citations
  Liu et al.
• Syntax And Domain Aware Model For Unsupervised Program Translation (2023) • 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) • 17 citations
  Fang Liu, Jia Li, Li Zhang
• Vgdiffzero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Liu et al.
• VALOR: Vision-audio-language Omni-perception Pretraining Model And Dataset (2023) • Arxiv • 17 citations
  Liu et al.
• Webglm: Towards An Efficient Web-enhanced Question Answering System With Human Preferences (2023) • No Venue
  Liu et al.
• Wavjourney: Compositional Audio Creation With Large Language Models (2023) • No Venue
  Liu et al.
• Visual Instruction Tuning (2023) • Arxiv • 666 citations
  Liu et al.
• Vid2seq: Large-scale Pretraining Of A Visual Language Model For Dense Video Captioning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 190 citations
  Yang et al.
• Chatdev: Communicative Agents For Software Development (2023) • Arxiv • 66 citations
  Qian et al.
• CREATOR: Tool Creation For Disentangling Abstract And Concrete Reasoning Of Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 19 citations
  Qian et al.
• ULIP-2: Towards Scalable Multimodal Pre-training For 3D Understanding (2023) • CVPR2024 • 15 citations
  Xue et al.
• Unveiling The Implicit Toxicity In Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Wen et al.
• Autodroid: Llm-powered Task Automation In Android (2023) • ACM MobiCom '24: 30th Annual International Conference on Mobile Computing and Networking • 53 citations
  Wen et al.
• See And Think: Embodied Agent In Virtual Environment (2023) • Lecture Notes in Computer Science • 13 citations
  Zhao et al.
• Unleashing Text-to-image Diffusion Models For Visual Perception (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 132 citations
  Zhao et al.
• Codeplan: Repository-level Coding Using Llms And Planning (2023) • No Venue
  Bairi et al.
• Hrs-bench: Holistic, Reliable And Scalable Benchmark For Text-to-image Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 44 citations
  Bakr et al.
• A Multitask, Multilingual, Multimodal Evaluation Of Chatgpt On Reasoning, Hallucination, And Interactivity (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 497 citations
  Bang et al.
• Composed Image Retrieval Using Contrastive Learning And Task-oriented Clip-based Features (2023) • ACM Transactions on Multimedia Computing, Communications, and Applications • 37 citations
  Baldrati et al.
• Vipergpt: Visual Inference Via Python Execution For Reasoning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 145 citations
  Dídac Surís, Sachit Menon, Carl Vondrick
• Cleanclip: Mitigating Data Poisoning Attacks In Multimodal Contrastive Learning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 22 citations
  Bansal et al.
• Towards Modeling Human Attention From Eye Movements For Neural Source Code Summarization (2023) • Proceedings of the ACM on Human-Computer Interaction • 11 citations
  Aakash Bansal, Bonita Sharif, Collin McMillan
• A Bi-step Grounding Paradigm For Large Language Models In Recommendation Systems (2023) • ACM Transactions on Recommender Systems • 21 citations
  Bao et al.
• Tallrec: An Effective And Efficient Tuning Framework To Align Large Language Model With Recommendation (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 271 citations
  Bao et al.
• Prompting Language-informed Distribution For Compositional Zero-shot Learning (2023) • Lecture Notes in Computer Science • 11 citations
  Bao et al.
• With A Little Help From Your Own Past: Prototypical Memory Networks For Image Captioning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 26 citations
  Barraco et al.
• Faithfulness-aware Decoding Strategies For Abstractive Summarization (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 14 citations
  Wan et al.
• Link-context Learning For Multimodal Llms (2023) • No Venue
  Tai et al.
• Clip-guided Stylegan Inversion For Text-driven Real Image Editing (2023) • ACM Transactions on Graphics • 17 citations
  Baykal et al.
• Learning By Analogy: Diverse Questions Generation In Math Word Problem (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 16 citations
  Zhou et al.
• Exploring The Dark Side Of AI: Advanced Phishing Attack Design And Deployment Using Chatgpt (2023) • 2023 IEEE Conference on Communications and Network Security (CNS) • 26 citations
  Begou et al.
• Exponentially Faster Language Modelling (2023) • No Venue
  Peter Belcak, Roger Wattenhofer
• Hot Or Cold? Adaptive Temperature Sampling For Code Generation With Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 21 citations
  Zhu et al.
• Advancements In Generative AI: A Comprehensive Review Of Gans, GPT, Autoencoders, Diffusion Model, And Transformers (2023) • IEEE Access • 221 citations
  Bengesi et al.
• Conda: Contrastive Domain Adaptation For Ai-generated Text Detection (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Bhattacharjee et al.
• Towards Language Models That Can See: Computer Vision Through The LENS Of Natural Language (2023) • No Venue
  Berrios et al.
• Better Speech Synthesis Through Scaling (2023) • Arxiv • 10 citations
  James Betker
• TART: A Plug-and-play Transformer Module For Task-agnostic Reasoning (2023) • No Venue
  Bhatia et al.
• Unit Test Generation Using Generative AI : A Comparative Performance Analysis Of Autogeneration Tools (2023) • LLM4Code '24: 1st International Workshop on Large Language Models for Code • 25 citations
  Bhatia et al.
• Purple Llama Cyberseceval: A Secure Coding Benchmark For Language Models (2023) • No Venue
  Bhatt et al.
• Codekgc: Code Language Model For Generative Knowledge Graph Construction (2023) • ACM Transactions on Asian and Low-Resource Language Information Processing • 46 citations
  Bi et al.
• Unifying Two-stream Encoders With Transformers For Cross-modal Retrieval (2023) • MM '23: The 31st ACM International Conference on Multimedia • 28 citations
  Bin et al.
• Webarena: A Realistic Web Environment For Building Autonomous Agents (2023) • No Venue
  Zhou et al.
• Breaking Common Sense: WHOOPS! A Vision-and-language Benchmark Of Synthetic And Compositional Images (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 24 citations
  Bitton-Guetta et al.
• Acceltran: A Sparsity-aware Accelerator For Dynamic Inference With Transformers (2023) • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems • 34 citations
  Shikhar Tuli, Niraj K. Jha
• Nougat: Neural Optical Understanding For Academic Documents (2023) • No Venue
  Blecher et al.
• Chip-chat: Challenges And Opportunities In Conversational Hardware Design (2023) • 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD) • 156 citations
  Blocklove et al.
• Neighborhood Contrastive Transformer For Change Captioning (2023) • IEEE Transactions on Multimedia • 22 citations
  Tu et al.
• An Empirical Study Of Multimodal Model Merging (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 15 citations
  Sung et al.
• Enhancing Genetic Improvement Mutations Using Large Language Models (2023) • Lecture Notes in Computer Science • 18 citations
  Brownlee et al.
• Promptbench: A Unified Library For Evaluation Of Large Language Models (2023) • No Venue
  Zhu et al.
• Instruction-following Evaluation For Large Language Models (2023) • No Venue
  Zhou et al.
• Incremental Learning Of Humanoid Robot Behavior From Natural Interaction And Large Language Models (2023) • Frontiers in Robotics and AI • 26 citations
  Bärmann et al.
• Decoupled Textual Embeddings For Customized Image Generation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Cai et al.
• Retentive Network: A Successor To Transformer For Large Language Models (2023) • No Venue
  Sun et al.
• Low-code LLM: Graphical User Interface Over Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations) • 10 citations
  Cai et al.
• Improving Empathetic Dialogue Generation By Dynamically Infusing Commonsense Knowledge (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 15 citations
  Cai et al.
• Vip-llava: Making Large Multimodal Models Understand Arbitrary Visual Prompts (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 44 citations
  Cai et al.
• Modular Visual Question Answering Via Code Generation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 20 citations
  Subramanian et al.
• Sql-palm: Improved Large Language Modeladaptation For Text-to-sql (2023) • No Venue
  Sun et al.
• Scamming The Scammers: Using Chatgpt To Reply Mails For Wasting Time And Resources (2023) • Arxiv • 15 citations
  Enrico Cambiaso, Luca Caviglione
• Is Chatgpt Good At Search? Investigating Large Language Models As Re-ranking Agents (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 151 citations
  Sun et al.
• Aligning Large Multimodal Models With Factually Augmented RLHF (2023) • No Venue
  Sun et al.
• Create Your World: Lifelong Text-to-image Diffusion (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 26 citations
  Sun et al.
• H2ogpt: Democratizing Large Language Models (2023) • No Venue
  Candel et al.
• Domain-controlled Prompt Learning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Cao et al.
• Coser: Bridging Image And Language For Cognitive Super-resolution (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 40 citations
  Sun et al.
• Automatic Code Summarization Via Chatgpt: How Far Are We? (2023) • Arxiv • 34 citations
  Sun et al.
• Knowledge Transfer From High-resource To Low-resource Programming Languages For Code Llms (2023) • Proceedings of the ACM on Programming Languages • 24 citations
  Cassano et al.
• Honeybee: Locality-enhanced Projector For Multimodal LLM (2023) • No Venue
  Cha et al.
• Ranking Llm-generated Loop Invariants For Program Verification (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 24 citations
  Chakraborty et al.
• Chatgpt May Pass The Bar Exam Soon, But Has A Long Way To Go For The Lexglue Benchmark (2023) • SSRN Electronic Journal • 19 citations
  Ilias Chalkidis
• CLAIR: Evaluating Image Captions With Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 19 citations
  Chan et al.
• Chipgpt: How Far Are We From Natural Language Hardware Design (2023) • Arxiv • 27 citations
  Chang et al.
• LLM4TS: Aligning Pre-trained Llms As Data-efficient Time-series Forecasters (2023) • ACM Transactions on Intelligent Systems and Technology • 52 citations
  Chang et al.
• One-for-all: Generalized Lora For Parameter-efficient Fine-tuning (2023) • No Venue
  Chavan et al.
• Federated Learning Of Large Language Models With Parameter-efficient Prompt Tuning And Adaptive Optimization (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 30 citations
  Che et al.
• A Vector Quantized Approach For Text To Speech Synthesis On Real-world Spontaneous Speech (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 23 citations
  Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky
• Advancing Visual Grounding With Scene Knowledge: Benchmark And Method (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Chen et al.
• Autoeval-video: An Automatic Benchmark For Assessing Large Vision Language Models In Open-ended Video Question Answering (2023) • Lecture Notes in Computer Science • 12 citations
  Chen et al.
• Autotamp: Autoregressive Task And Motion Planning With Llms As Translators And Checkers (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 64 citations
  Chen et al.
• Chatcot: Tool-augmented Chain-of-thought Reasoning On Chat-based Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 15 citations
  Chen et al.
• Disco-clip: A Distributed Contrastive Loss For Memory Efficient CLIP Training (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Chen et al.
• How Is Chatgpt's Behavior Changing Over Time? (2023) • No Venue
  Lingjiao Chen, Matei Zaharia, James Zou
• Gptutor: A Chatgpt-powered Programming Tool For Code Explanation (2023) • Communications in Computer and Information Science • 74 citations
  Chen et al.
• Internvl: Scaling Up Vision Foundation Models And Aligning For Generic Visual-linguistic Tasks (2023) • No Venue
  Chen et al.
• Learning To Memorize Entailment And Discourse Relations For Persona-consistent Dialogues (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 22 citations
  Chen et al.
• Medblip: Bootstrapping Language-image Pre-training From 3D Medical Images And Texts (2023) • Lecture Notes in Computer Science • 23 citations
  Chen et al.
• Lorashear: Efficient Large Language Model Structured Pruning And Knowledge Recovery (2023) • No Venue
  Chen et al.
• Longlora: Efficient Fine-tuning Of Long-context Large Language Models (2023) • No Venue
  Chen et al.
• Phoenix: Democratizing Chatgpt Across Languages (2023) • Arxiv • 20 citations
  Chen et al.
• Reconcile: Round-table Conference Improves Reasoning Via Consensus Among Diverse Llms (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal
• Reducing Barriers To Self-supervised Learning: Hubert Pre-training With Academic Compute (2023) • INTERSPEECH 2023 • 16 citations
  Chen et al.
• Rethinking Benchmarks For Cross-modal Image-text Retrieval (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 18 citations
  Weijing Chen, Linli Yao, Qin Jin
• Textdiffuser-2: Unleashing The Power Of Language Models For Text Rendering (2023) • Lecture Notes in Computer Science • 26 citations
  Chen et al.
• Tailored Visions: Enhancing Text-to-image Generation With Personalized Prompt Rewriting (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Chen et al.
• Theoremqa: A Theorem-driven Question Answering Dataset (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Chen et al.
• VAST: A Vision-audio-subtitle-text Omni-modality Foundation Model And Dataset (2023) • Arxiv • 28 citations
  Chen et al.
• Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark And Empirical Study (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 88 citations
  Sui et al.
• Probvlm: Probabilistic Adapter For Frozen Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 15 citations
  Upadhyay et al.
• Codefusion: A Pre-trained Diffusion Model For Code Generation (2023) • No Venue
  Singh et al.
• Automating Code-related Tasks Through Transformers: The Impact Of Pre-training (2023) • 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) • 14 citations
  Rosalia Tufano, Luca Pascarella, Gabriele Bavota
• Ar-diffusion: Auto-regressive Diffusion Model For Text Generation (2023) • Arxiv • 18 citations
  Wu et al.
• Distilled GPT For Source Code Summarization (2023) • Automated Software Engineering • 30 citations
  Chia-Yi Su, Collin McMillan
• Adapting Large Language Models By Integrating Collaborative Semantics For Recommendation (2023) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 66 citations
  Zheng et al.
• Enriching Source Code With Contextual Data For Code Completion Models: An Empirical Study (2023) • 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) • 10 citations
  Tim van Dam, Maliheh Izadi, Arie van Deursen
• Generation Probabilities Are Not Enough: Uncertainty Highlighting In AI Code Completions (2023) • Arxiv • 17 citations
  Vasconcelos et al.
• Deep Language Networks: Joint Prompt Training Of Stacked Llms Using Variational Inference (2023) • No Venue
  Sordoni et al.
• Whitefox: White-box Compiler Fuzzing Empowered By Large Language Models (2023) • Proceedings of the ACM on Programming Languages • 44 citations
  Yang et al.
• CLASS: A Design Framework For Building Intelligent Tutoring Systems Based On Learning Science Principles (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Sonkar et al.
• Mobileclip: Fast Image-text Models Through Multi-modal Reinforced Training (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 27 citations
  Vasu et al.
• Video-llama: An Instruction-tuned Audio-visual Language Model For Video Understanding (2023) • No Venue
  Hang Zhang, Xin Li, Lidong Bing
• Code Soliloquies For Accurate Calculations In Large Language Models (2023) • LAK '24: The 14th Learning Analytics and Knowledge Conference • 12 citations
  Sonkar et al.
• Revisiting The Plastic Surgery Hypothesis Via Large Language Models (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 21 citations
  Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang
• Chatgpt For Robotics: Design Principles And Model Abilities (2023) • No Venue
  Vemprala et al.
• Multi-grained Knowledge Retrieval For End-to-end Task-oriented Dialog (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Wan et al.
• Is GPT-4 A Good Data Analyst? (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 66 citations
  Liying Cheng, Xingxuan Li, Lidong Bing
• Batch Prompting: Efficient Inference With Large Language Model Apis (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 26 citations
  Zhoujun Cheng, Jungo Kasai, Tao Yu
• Adapting Large Language Models Via Reading Comprehension (2023) • No Venue
  Daixuan Cheng, Shaohan Huang, Furu Wei
• Can We Edit Multimodal Large Language Models? (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Cheng et al.
• Beyond Generic: Enhancing Image Captioning With Real-world Knowledge Using Vision-language Pre-training Model (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 12 citations
  Cheng et al.
• Black-box Prompt Optimization: Aligning Large Language Models Without Model Training (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Cheng et al.
• Editing Language Model-based Knowledge Graph Embeddings (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Cheng et al.
• Optimize Weight Rounding Via Signed Gradient Descent For The Quantization Of Llms (2023) • No Venue
  Cheng et al.
• PRIOR: Prototype Representation Joint Learning From Medical Images And Reports (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 53 citations
  Cheng et al.
• TEQ: Trainable Equivalent Transformation For Quantization Of Llms (2023) • No Venue
  Cheng et al.
• UPRISE: Universal Prompt Retrieval For Improving Zero-shot Evaluation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Cheng et al.
• Honeybee: Progressive Instruction Finetuning Of Large Language Models For Materials Science (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Song et al.
• Interfacing Foundation Models' Embeddings (2023) • No Venue
  Zou et al.
• Matsci-nlp: Evaluating Scientific Language Models On Materials Science Language Tasks Using Text-to-schema Modeling (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Yu Song, Santiago Miret, Bang Liu
• GEE! Grammar Error Explanation With Large Language Models (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 10 citations
  Song et al.
• Factool: Factuality Detection In Generative AI -- A Tool Augmented Framework For Multi-task And Multi-domain Scenarios (2023) • Arxiv • 25 citations
  Chern et al.
• Evaluating The Social Impact Of Generative AI Systems In Systems And Society (2023) • Arxiv • 42 citations
  Solaiman et al.
• BAGM: A Backdoor Attack For Manipulating Text-to-image Generative Models (2023) • IEEE Transactions on Information Forensics and Security • 22 citations
  Vice et al.
• Mask Grounding For Referring Image Segmentation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Chng et al.
• Distribution-aware Prompt Tuning For Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 31 citations
  Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim
• You Only Look At Screens: Multimodal Chain-of-action Agents (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 16 citations
  Zhuosheng Zhang, Aston Zhang
• Toward Building General Foundation Models For Language, Vision, And Vision-language Understanding Tasks (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Zhang et al.
• USER: Unified Semantic Enhancement With Momentum Contrast For Image-text Retrieval (2023) • IEEE Transactions on Image Processing • 41 citations
  Zhang et al.
• SLTUNET: A Simple Unified Model For Sign Language Translation (2023) • Arxiv • 14 citations
  Biao Zhang, Mathias Müller, Rico Sennrich
• Mobilevlm : A Fast, Reproducible And Strong Vision Language Assistant For Mobile Devices (2023) • No Venue
  Chu et al.
• Meta-transformer: A Unified Framework For Multimodal Learning (2023) • No Venue
  Zhang et al.
• Unifying The Perspectives Of NLP And Software Engineering: A Survey On Language Models For Code (2023) • No Venue
  Zhang et al.
• Multilingual Machine Translation With Large Language Models: Empirical Results And Analysis (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 75 citations
  Zhu et al.
• Students' Perceptions And Preferences Of Generative Artificial Intelligence Feedback For Programming (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 25 citations
  Zhang et al.
• Tell Your Model Where To Attend: Post-hoc Attention Steering For Llms (2023) • No Venue
  Zhang et al.
• Text2nerf: Text-driven 3D Scene Generation With Neural Radiance Fields (2023) • IEEE Transactions on Visualization and Computer Graphics • 67 citations
  Zhang et al.
• Structure Pretraining And Prompt Tuning For Knowledge Graph Transfer (2023) • Proceedings of the ACM Web Conference 2023 • 20 citations
  Zhang et al.
• Applenet: Visual Attention Parameterized Prompt Learning For Few-shot Remote Sensing Image Generalization Using CLIP (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 26 citations
  Singha et al.
• Instruct Me More! Random Prompting For Visual In-context Learning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 14 citations
  Zhang et al.
• Promptly: Using Prompt Problems To Teach Learners How To Effectively Utilize AI Code Generators (2023) • Arxiv • 14 citations
  Denny et al.
• Simple And Controllable Music Generation (2023) • No Venue
  Copet et al.
• Grounding Visual Illusions In Language: Do Vision-language Models Perceive Illusions Like Humans? (2023) • No Venue
  Zhang et al.
• PREFER: Prompt Ensemble Learning Via Feedback-reflect-refine (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Zhang et al.
• Vulnerabilities In AI Code Generators: Exploring Targeted Data Poisoning Attacks (2023) • ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension • 25 citations
  Cotroneo et al.
• Llmind: Orchestrating AI And Iot With LLM For Complex Task Execution (2023) • IEEE Communications Magazine • 43 citations
  Cui et al.
• Evaluating Chatgpt And GPT-4 For Visual Programming (2023) • Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2 • 17 citations
  Adish Singla
• Sentiment Analysis In The Era Of Large Language Models: A Reality Check (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 183 citations
  Zhang et al.
• SGP-TOD: Building Task Bots Effortlessly Via Schema-guided LLM Prompting (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Zhang et al.
• Large Language Models For Compiler Optimization (2023) • No Venue
  Cummins et al.
• AD-CLIP: Adapting Domains In Prompt Space Using CLIP (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 37 citations
  Singha et al.
• Repocoder: Repository-level Code Completion Through Iterative Retrieval And Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 87 citations
  Zhang et al.
• Uncovering Chatgpt's Capabilities In Recommender Systems (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 131 citations
  Dai et al.
• Think, Act, And Ask: Open-world Interactive Personalized Robot Navigation (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 12 citations
  Dai et al.
• Prospect: Prompt Spectrum For Attribute-aware Personalization Of Diffusion Models (2023) • ACM Transactions on Graphics • 84 citations
  Zhang et al.
• R-tuning: Instructing Large Language Models To Say `I Don't Know' (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Zhang et al.
• Prompt, Generate, Then Cache: Cascade Of Foundation Models Makes Strong Few-shot Learners (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 129 citations
  Zhang et al.
• Multilingual Code Co-evolution Using Large Language Models (2023) • ESEC/FSE '23: 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering • 27 citations
  Zhang et al.
• Computing Education In The Era Of Generative AI (2023) • Communications of the ACM • 170 citations
  Denny et al.
• GALIP: Generative Adversarial Clips For Text-to-image Synthesis (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 137 citations
  Tao et al.
• Self-correcting Llm-controlled Diffusion Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Wu et al.
• Making Large Language Models Perform Better In Knowledge Graph Completion (2023) • MM '24: The 32nd ACM International Conference on Multimedia • 40 citations
  Zhang et al.
• Zero-shot Nuclei Detection Via Visual-language Pre-trained Models (2023) • Lecture Notes in Computer Science • 10 citations
  Wu et al.
• Vadclip: Adapting Vision-language Models For Weakly Supervised Video Anomaly Detection (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 100 citations
  Wu et al.
• Drivelm: Driving With Graph Visual Question Answering (2023) • Lecture Notes in Computer Science • 88 citations
  Sima et al.
• Attack Prompt Generation For Red Teaming And Defending Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Deng et al.
• Llava-grounding: Grounded Visual Chat With Large Multimodal Models (2023) • No Venue
  Zhang et al.
• Loraprune: Structured Pruning Meets Low-rank Parameter-efficient Fine-tuning (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 37 citations
  Zhang et al.
• Llavar: Enhanced Visual Instruction Tuning For Text-rich Image Understanding (2023) • No Venue
  Zhang et al.
• Is Chatgpt Fair For Recommendation? Evaluating Fairness In Large Language Model Recommendation (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 105 citations
  Zhang et al.
• Unified Model For Image, Video, Audio And Language Tasks (2023) • No Venue
  Shukor et al.
• Repairllama: Efficient Representations And Fine-tuned Adapters For Program Repair (2023) • IEEE Transactions on Software Engineering • 11 citations
  André Silva, Sen Fang, Martin Monperrus
• Qlora: Efficient Finetuning Of Quantized Llms (2023) • No Venue
  Dettmers et al.
• A Preliminary Analysis On The Code Generation Capabilities Of GPT-3.5 And Bard AI Models For Java Functions (2023) • Arxiv • 17 citations
  Giuseppe Destefanis, Silvia Bartolucci, Marco Ortu
• Using Large Language Models To Generate Junit Tests: An Empirical Study (2023) • EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering • 56 citations
  Siddiq et al.
• Unipt: Universal Parallel Tuning For Transfer Learning With Efficient Parameter And Memory (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Diao et al.
• Grounded Question-answering In Long Egocentric Videos (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Shangzhe di, Weidi Xie
• Codefuse-13b: A Pretrained Multi-lingual Code Large Language Model (2023) • ICSE-SEIP '24: 46th International Conference on Software Engineering: Software Engineering in Practice • 12 citations
  di et al.
• Plug-and-play Regulators For Image-text Matching (2023) • IEEE Transactions on Image Processing • 35 citations
  Diao et al.
• Active Prompting With Chain-of-thought For Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 28 citations
  Diao et al.
• Mixture-of-domain-adapters: Decoupling And Injecting Domain Knowledge To Pre-trained Language Models Memories (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Diao et al.
• Huatuogpt, Towards Taming Language Model To Be A Doctor (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 142 citations
  Zhang et al.
• H_2O: Heavy-hitter Oracle For Efficient Generative Inference Of Large Language Models (2023) • No Venue
  Zhang et al.
• LIDA: A Tool For Automatic Generation Of Grammar-agnostic Visualizations And Infographics Using Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 78 citations
  Victor Dibia
• Can Large Language Models Assist In Hazard Analysis? (2023) • Lecture Notes in Computer Science • 21 citations
  Simon Diemert, Jens H Weber
• A Wolf In Sheep's Clothing: Generalized Nested Jailbreak Prompts Can Fool Large Language Models Easily (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 23 citations
  Ding et al.
• Gpt4roi: Instruction Tuning Large Language Model On Region-of-interest (2023) • No Venue
  Zhang et al.
• Cure The Headache Of Transformers Via Collinear Constrained Attention (2023) • No Venue
  Zhu et al.
• Conversational Automated Program Repair (2023) • Arxiv • 31 citations
  Chunqiu Steven Xia, Lingming Zhang
• An Attentive Inductive Bias For Sequential Recommendation Beyond The Self-attention (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 62 citations
  Shin et al.
• Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting And Calibrated Confidence Estimation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Zhexin Zhang, Jiaxin Wen, Minlie Huang
• Glm-dialog: Noise-tolerant Pre-training For Knowledge-grounded Dialogue Generation (2023) • Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 17 citations
  Zhang et al.
• Forget-me-not: Learning To Forget In Text-to-image Diffusion Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 65 citations
  Zhang et al.
• Exploring Collaboration Mechanisms For LLM Agents: A Social Psychology View (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Zhang et al.
• G10: Enabling An Efficient Unified GPU Memory And Storage Architecture With Smart Tensor Migrations (2023) • MICRO '23: 56th Annual IEEE/ACM International Symposium on Microarchitecture • 16 citations
  Zhang et al.
• Keep The Conversation Going: Fixing 162 Out Of 337 Bugs For $0.42 Each Using Chatgpt (2023) • ISSTA '24: 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis • 92 citations
  Chunqiu Steven Xia, Lingming Zhang
• How Abilities In Large Language Models Are Affected By Supervised Fine-tuning Data Composition (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Dong et al.
• V*: Guided Visual Search As A Core Mechanism In Multimodal Llms (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 27 citations
  Penghao Wu, Saining Xie
• On The Exploitability Of Instruction Tuning (2023) • Arxiv • 14 citations
  Shu et al.
• What's In My Big Data? (2023) • No Venue
  Elazar et al.
• Controllable Text-to-image Generation With GPT-4 (2023) • Arxiv • 10 citations
  Zhang et al.
• A Comprehensive Evaluation Of Large Language Models On Legal Judgment Prediction (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 19 citations
  Shui et al.
• Dept: Decoupled Prompt Tuning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Zhang et al.
• Automatic Prompt Augmentation And Selection With Chain-of-thought From Labeled Data (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 50 citations
  Kashun Shum, Shizhe Diao, Tong Zhang
• Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 18 citations
  Zhang et al.
• Controlvideo: Training-free Controllable Text-to-video Generation (2023) • Arxiv • 34 citations
  Zhang et al.
• Ensemble Modeling With Contrastive Knowledge Distillation For Sequential Recommendation (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 17 citations
  Du et al.
• Llasm: Large Language And Speech Model (2023) • No Venue
  Shu et al.
• Domain Adaptation For Code Model-based Unit Test Case Generation (2023) • ISSTA '24: 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis • 16 citations
  Shin et al.
• Why Is Prompt Tuning For Vision-language Models Robust To Noisy Labels? (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 12 citations
  Wu et al.
• Collm: Integrating Collaborative Embeddings Into Large Language Models For Recommendation (2023) • IEEE Transactions on Knowledge and Data Engineering • 27 citations
  Zhang et al.
• Contrasting Intra-modal And Ranking Cross-modal Hard Negatives To Enhance Visio-linguistic Compositional Understanding (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Le Zhang, Rabiul Awal, Aishwarya Agrawal
• Repofusion: Training Code Models To Understand Your Repository (2023) • No Venue
  Shrivastava et al.
• Shifting Attention To Relevance: Towards The Predictive Uncertainty Quantification Of Free-form Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 23 citations
  Duan et al.
• SCREWS: A Modular Framework For Reasoning With Revisions (2023) • No Venue
  Shridhar et al.
• Vision-language Interpreter For Robot Task Planning (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 27 citations
  Shirai et al.
• A Comparative Analysis Of Large Language Models For Code Documentation Generation (2023) • AIware '24: 1st ACM International Conference on AI-Powered Software • 18 citations
  Dvivedi et al.
• Kattis Vs. Chatgpt: Assessment And Evaluation Of Programming Tasks In The Age Of Artificial Intelligence (2023) • LAK '24: The 14th Learning Analytics and Knowledge Conference • 32 citations
  Dunder et al.
• Diversify Your Vision Datasets With Automatic Diffusion-based Augmentation (2023) • Arxiv • 14 citations
  Dunlap et al.
• Tinyclip: CLIP Distillation Via Affinity Mimicking And Weight Inheritance (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 45 citations
  Wu et al.
• A Simple LLM Framework For Long-range Video Question-answering (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 38 citations
  Zhang et al.
• Refactoring Programs Using Large Language Models With Few-shot Examples (2023) • 2023 30th Asia-Pacific Software Engineering Conference (APSEC) • 36 citations
  Shirafuji et al.
• ROBBIE: Robust Bias Evaluation Of Large Generative Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Esiobu et al.
• Can Large Language Models Transform Natural Language Intent Into Formal Method Postconditions? (2023) • Proceedings of the ACM on Software Engineering • 25 citations
  Endres et al.
• Exploring And Characterizing Large Language Models For Embedded System Development And Debugging (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 18 citations
  Englhardt et al.
• A Comprehensive Review Of State-of-the-art Methods For Java Code Generation From Natural Language Text (2023) • Natural Language Processing Journal • 18 citations
  Espejel et al.
• Do Multilingual Language Models Think Better In English? (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) • 12 citations
  Etxaniz et al.
• Zeroquant(4+2): Redefining Llms Quantization With A New Fp6-centric Strategy For Diverse Generative Tasks (2023) • No Venue
  Wu et al.
• A Simple Recipe For Language-guided Domain Generalized Segmentation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Fahes et al.
• Uncovering The Potential Of Chatgpt For Discourse Analysis In Dialogue: An Empirical Study (2023) • Arxiv • 12 citations
  Fan et al.
• Grammargpt: Exploring Open-source Llms For Native Chinese Grammatical Error Correction With Supervised Fine-tuning (2023) • Lecture Notes in Computer Science • 26 citations
  Fan et al.
• Improving CLIP Training With Language Rewrites (2023) • Arxiv • 35 citations
  Fan et al.
• Separate And Locate: Rethink The Text In Text-based Visual Question Answering (2023) • MM '23: The 31st ACM International Conference on Multimedia • 14 citations
  Fang et al.
• Domain-agnostic Molecular Generation With Chemical Feedback (2023) • Arxiv • 17 citations
  Fang et al.
• Lawbench: Benchmarking Legal Knowledge Of Large Language Models (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 41 citations
  Fei et al.
• Transferable Decoding With Visual Entities For Zero-shot Image Captioning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 43 citations
  Fei et al.
• Reasoning Implicit Sentiment With Chain-of-thought Prompting (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 84 citations
  Fei et al.
• Winoqueer: A Community-in-the-loop Benchmark For Anti-lgbtq+ Bias In Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 40 citations
  Felkner et al.
• Diverse Data Augmentation With Diffusions For Effective Test-time Prompt Tuning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 63 citations
  Feng et al.
• Chessgpt: Bridging Policy Learning And Language Modeling (2023) • No Venue
  Feng et al.
• Towards Llm-driven Dialogue State Tracking (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Feng et al.
• Sotana: The Open-source Software Development Assistant (2023) • No Venue
  Shi et al.
• Towards Efficient Fine-tuning Of Pre-trained Code Models: An Experimental Study And Beyond (2023) • Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis • 33 citations
  Shi et al.
• CLIM: Contrastive Language-image Mosaic For Region Representation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Wu et al.
• A Unified Framework For Slot Based Response Generation In A Multimodal Dialogue System (2023) • Multimedia Tools and Applications • 11 citations
  Mauajama Firdaus, Avinash Madasu, Asif Ekbal
• Foundation Models In Robotics: Applications, Challenges, And The Future (2023) • No Venue
  Firoozi et al.
• Baldur: Whole-proof Generation And Repair With Large Language Models (2023) • ESEC/FSE '23: 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering • 67 citations
  First et al.
• Qmoe: Practical Sub-1-bit Compression Of Trillion-parameter Models (2023) • No Venue
  Elias Frantar, Dan Alistarh
• Large Language Models For Mathematicians (2023) • No Venue
  Frieder et al.
• Drive Like A Human: Rethinking Autonomous Driving With Large Language Models (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) • 105 citations
  Fu et al.
• LAMP: Learn A Motion Pattern For Few-shot-based Video Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Wu et al.
• Gptscore: Evaluate As You Desire (2023) • Arxiv • 81 citations
  Fu et al.
• Datacomp: In Search Of The Next Generation Of Multimodal Datasets (2023) • Arxiv • 72 citations
  Gadre et al.
• A Unified Continual Learning Framework With General Parameter-efficient Tuning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 54 citations
  Gao et al.
• Distil-whisper: Robust Knowledge Distillation Via Large-scale Pseudo Labelling (2023) • No Venue
  Sanchit Gandhi, Patrick von Platen, Alexander M. Rush
• Assistgpt: A General Multi-modal Assistant That Can Plan, Execute, Inspect, And Learn (2023) • No Venue
  Gao et al.
• Llama-adapter V2: Parameter-efficient Visual Instruction Model (2023) • Arxiv • 117 citations
  Gao et al.
• Is Chatgpt A Good Causal Reasoner? A Comprehensive Evaluation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 33 citations
  Gao et al.
• LAMM: Label Alignment For Multi-modal Prompt Learning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Gao et al.
• Ophglm: Training An Ophthalmology Large Language-and-vision Assistant Based On Instructions And Dialogue (2023) • Arxiv • 11 citations
  Gao et al.
• Vampnet: Music Generation Via Masked Acoustic Token Modeling (2023) • No Venue
  Garcia et al.
• In-context Autoencoder For Context Compression In A Large Language Model (2023) • No Venue
  Ge et al.
• From Language Modeling To Instruction Following: Understanding The Behavior Shift In Llms After Instruction Tuning (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 10 citations
  Wu et al.
• Exploring Human-like Translation Strategy With Large Language Models (2023) • Transactions of the Association for Computational Linguistics • 47 citations
  He et al.
• Agile-quant: Activation-guided Quantization For Faster Inference Of Llms On The Edge (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 22 citations
  Shen et al.
• Grammar-constrained Decoding For Structured NLP Tasks Without Finetuning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 25 citations
  Geng et al.
• Can Chatgpt Pass An Introductory Level Functional Language Programming Course? (2023) • Arxiv • 15 citations
  Geng et al.
• VIP5: Towards Multimodal Foundation Models For Recommendation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 42 citations
  Geng et al.
• Self-verification Improves Few-shot Clinical Information Extraction (2023) • IMLH 2023 • 18 citations
  Gero et al.
• Pangu-coder2: Boosting Large Language Models For Code With Ranking Feedback (2023) • No Venue
  Shen et al.
• Groundvlp: Harnessing Zero-shot Visual Grounding From Vision-language Pre-training And Open-vocabulary Object Detection (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 14 citations
  Shen et al.
• Efficient Post-training Quantization With FP8 Formats (2023) • No Venue
  Shen et al.
• Flacuna: Unleashing The Problem Solving Power Of Vicuna Using FLAN Fine-tuning (2023) • No Venue
  Ghosal et al.
• Bioaug: Conditional Generation Based Data Augmentation For Low-resource Biomedical NER (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 13 citations
  Ghosh et al.
• Semantic Compression With Large Language Models (2023) • 2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS) • 25 citations
  Gilbert et al.
• Energy-based Models Are Zero-shot Planners For Compositional Scene Rearrangement (2023) • Robotics: Science and Systems XIX • 16 citations
  Gkanatsios et al.
• Commoncanvas: An Open Diffusion Model Trained With Creative-commons Images (2023) • No Venue
  Gokaslan et al.
• Iterative Motion Editing With Natural Language (2023) • SIGGRAPH '24: Special Interest Group on Computer Graphics and Interactive Techniques Conference • 19 citations
  Goel et al.
• Preventing Zero-shot Transfer Degradation In Continual Learning Of Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 61 citations
  Zheng et al.
• Figstep: Jailbreaking Large Vision-language Models Via Typographic Visual Prompts (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 26 citations
  Gong et al.
• Yes But.. Can Chatgpt Identify Entities In Historical Documents? (2023) • 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL) • 23 citations
  González-Gallardo et al.
• Can I Trust Your Answer? Visually Grounded Video Question Answering (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
  Xiao et al.
• Contrastive Video Question Answering Via Video Graph Transformer (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 34 citations
  Xiao et al.
• Chatgpt Is Not All You Need. A State Of The Art Review Of Large Generative AI Models (2023) • Arxiv • 240 citations
  Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchan
• Not What You've Signed Up For: Compromising Real-world Llm-integrated Applications With Indirect Prompt Injection (2023) • CCS '23: ACM SIGSAC Conference on Computer and Communications Security • 210 citations
  Greshake et al.
• Language Prompt For Autonomous Driving (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 35 citations
  Wu et al.
• Language-only Efficient Training Of Zero-shot Composed Image Retrieval (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 33 citations
  Gu et al.
• Knowledge Distillation Of Large Language Models (2023) • No Venue
  Gu et al.
• Pre-training To Learn In Context (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Gu et al.
• Mono3dvg: 3D Visual Grounding In Monocular Images (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Yang Zhan, Yuan Yuan, Zhitong Xiong
• Cohortgpt: An Enhanced GPT For Participant Recruitment In Clinical Study (2023) • Arxiv • 15 citations
  Guan et al.
• Knowledge Prompt-tuning For Sequential Recommendation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 22 citations
  Zhai et al.
• Textbooks Are All You Need (2023) • No Venue
  Gunasekar et al.
• Zero-shot Generative Model Adaptation Via Image-specific Prompt Learning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Guo et al.
• Animatediff: Animate Your Personalized Text-to-image Diffusion Models Without Specific Tuning (2023) • No Venue
  Guo et al.
• Retrieval-augmented Code Generation For Universal Information Extraction (2023) • Lecture Notes in Computer Science • 19 citations
  Guo et al.
• PPTC Benchmark: Evaluating Large Language Models For Powerpoint Task Completion (2023) • No Venue
  Guo et al.
• Point-bind & Point-llm: Aligning Point Cloud With Multi-modality For 3D Understanding, Generation, And Instruction Following (2023) • No Venue
  Guo et al.
• Robustifying Token Attention For Vision Transformers (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 24 citations
  Yong Guo, David Stutz, Bernt Schiele
• Smooth Diffusion: Crafting Smooth Latent Spaces In Diffusion Models (2023) • No Venue
  Guo et al.
• One-shot Sensitivity-aware Mixed Sparsity Pruning For Large Language Models (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 20 citations
  Shao et al.
• Unified Pre-training With Pseudo Texts For Text-to-image Person Re-identification (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 59 citations
  Shao et al.
• Distilling And Retrieving Generalizable Knowledge For Robot Manipulation Via Language Corrections (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 17 citations
  Zha et al.
• Codegeex: A Pre-trained Model For Code Generation With Multilingual Benchmarking On Humaneval-x (2023) • KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 199 citations
  Zheng et al.
• General Object Foundation Model For Images And Videos At Scale (2023) • No Venue
  Wu et al.
• A Real-world Webagent With Planning, Long Context Understanding, And Program Synthesis (2023) • No Venue
  Gur et al.
• Cliptrans: Transferring Visual Knowledge With Pre-trained Models For Multimodal Machine Translation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 10 citations
  Gupta et al.
• Text2video-zero: Text-to-image Diffusion Models Are Zero-shot Video Generators (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 283 citations
  Khachatryan et al.
• Rationalization For Explainable NLP: A Survey (2023) • Frontiers in Artificial Intelligence • 39 citations
  Gurrapu et al.
• Scaling Up And Distilling Down: Language-guided Robot Skill Acquisition (2023) • No Venue
  Huy Ha, Pete Florence, Shuran Song
• Lit-4-rsvqa: Lightweight Transformer-based Visual Question Answering In Remote Sensing (2023) • IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium • 13 citations
  Hackel et al.
• Seeing Chatgpt Through Students' Eyes: An Analysis Of Tiktok Data (2023) • 2023 Big Data Meets Survey Science (BigSurv) • 28 citations
  Haensch et al.
• Onellm: One Framework To Align All Modalities With Language (2023) • No Venue
  Han et al.
• E^2VPT: An Effective And Efficient Approach For Visual Prompt Tuning (2023) • Arxiv • 10 citations
  Han et al.
• Imagebind-llm: Multi-modality Instruction Tuning (2023) • No Venue
  Han et al.
• Fame-vil: Multi-tasking Vision-language Model For Heterogeneous Fashion Tasks (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 38 citations
  Han et al.
• How Well Does Gpt-4v(ision) Adapt To Distribution Shifts? A Preliminary Investigation (2023) • No Venue
  Han et al.
• Zero-shot Referring Expression Comprehension Via Structural Similarity Between Images And Captions (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Han et al.
• Quilt-llava: Visual Instruction Tuning By Extracting Localized Narratives From Open-source Histopathology Videos (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 35 citations
  Seyfioglu et al.
• Leveraging Large Language Models For Sequential Recommendation (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 94 citations
  Harte et al.
• Jais And Jais-chat: Arabic-centric Foundation And Instruction-tuned Open Generative Large Language Models (2023) • No Venue
  Sengupta et al.
• Fastervit: Fast Vision Transformers With Hierarchical Attention (2023) • No Venue
  Hatamizadeh et al.
• Align And Attend: Multimodal Summarization With Dual Contrastive Losses (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 77 citations
  He et al.
• A Survey Of Large Language Models For Healthcare: From Data, Technology, And Applications To Accountability And Ethics (2023) • Arxiv • 52 citations
  He et al.
• REST: Retrieval-based Speculative Decoding (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 14 citations
  He et al.
• ICL-D3IE: In-context Learning With Diverse Demonstrations Updating For Document Information Extraction (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 21 citations
  He et al.
• Large Language Models Are Good Prompt Learners For Low-shot Image Classification (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Zheng et al.
• Verigen: A Large Language Model For Verilog Code Generation (2023) • ACM Transactions on Design Automation of Electronic Systems • 143 citations
  Thakur et al.
• Can Programming Languages Boost Each Other Via Instruction Tuning? (2023) • No Venue
  Zan et al.
• Contextual Object Detection With Multimodal Large Language Models (2023) • International Journal of Computer Vision • 57 citations
  Zang et al.
• When "A Helpful Assistant" Is Not Really Helpful: Personas In System Prompts Do Not Improve Performances Of Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 24 citations
  Zheng et al.
• An Empirical Evaluation Of Using Large Language Models For Automated Unit Test Generation (2023) • IEEE Transactions on Software Engineering • 215 citations
  Schäfer et al.
• Exploring The Responses Of Large Language Models To Beginner Programmers' Help Requests (2023) • ICER 2023: ACM Conference on International Computing Education Research • 100 citations
  Hellas et al.
• Selective Amnesia: A Continual Learning Approach To Forgetting In Deep Generative Models (2023) • Arxiv • 18 citations
  Alvin Heng, Harold Soh
• Cogagent: A Visual Language Model For GUI Agents (2023) • No Venue
  Hong et al.
• Ralle: A Framework For Developing And Evaluating Retrieval-augmented Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 13 citations
  Hoshi et al.
• Large Language Models For Software Engineering: A Systematic Literature Review (2023) • ACM Transactions on Software Engineering and Methodology • 484 citations
  Hou et al.
• More Robots Are Coming: Large Multimodal Models (chatgpt) Can Solve Visually Diverse Images Of Parsons Problems (2023) • ACE 2024: Australian Computing Education Conference • 22 citations
  Hou et al.
• Distilling Step-by-step! Outperforming Larger Language Models With Less Training Data And Smaller Model Sizes (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 179 citations
  Hsieh et al.
• Helping The Helper: Supporting Peer Counselors Via Ai-empowered Practice And Feedback (2023) • Arxiv • 10 citations
  Hsu et al.
• NS3D: Neuro-symbolic Grounding Of 3D Objects And Relations (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 30 citations
  Joy Hsu, Jiayuan Mao, Jiajun Wu
• Large Language Model-powered Smart Contract Vulnerability Detection: New Perspectives (2023) • 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) • 45 citations
  Hu et al.
• BLIVA: A Simple Multimodal LLM For Better Handling Of Text-rich Visual Questions (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 70 citations
  Hu et al.
• Reclip: Refine Contrastive Language Image Pre-training With Source Free Domain Adaptation (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 14 citations
  Hu et al.
• VL-PET: Vision-and-language Parameter-efficient Tuning Via Granularity Control (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Hu et al.
• Positive-augmented Contrastive Learning For Image And Video Captioning Evaluation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 42 citations
  Sarto et al.
• Chatgpt For Digital Forensic Investigation: The Good, The Bad, And The Unknown (2023) • Forensic Science International: Digital Investigation • 47 citations
  Scanlon et al.
• Thrilled By Your Progress! Large Language Models (GPT-4) No Longer Struggle To Pass Assessments In Higher Education Programming Courses (2023) • ICER 2023: ACM Conference on International Computing Education Research • 100 citations
  Savelka et al.
• Large Language Models (GPT) Struggle To Answer Multiple-choice Questions About Code (2023) • 15th International Conference on Computer Supported Education • 41 citations
  Savelka et al.
• Object Recognition As Next Token Prediction (2023) • No Venue
  Yue et al.
• Codebertscore: Evaluating Code Generation With Pretrained Models Of Code (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 70 citations
  Zhou et al.
• Livelyspeaker: Towards Semantic-aware Co-speech Gesture Generation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 23 citations
  Zhi et al.
• Large Language Models Are Built-in Autoregressive Search Engines (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 21 citations
  Ziems et al.
• How To Index Item Ids For Recommendation Foundation Models (2023) • Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region • 43 citations
  Hua et al.
• Attention Calibration For Transformer-based Sequential Recommendation (2023) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 24 citations
  Zhou et al.
• Agents: An Open-source Framework For Autonomous Language Agents (2023) • No Venue
  Zhou et al.
• Diversity-aware Meta Visual Prompting (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 42 citations
  Huang et al.
• Bias Testing And Mitigation In Llm-based Code Generation (2023) • ACM Transactions on Software Engineering and Methodology • 17 citations
  Huang et al.
• Joint Representation Learning For Text And 3D Point Cloud (2023) • Pattern Recognition • 24 citations
  Huang et al.
• Lorahub: Efficient Cross-task Generalization Via Dynamic Lora Composition (2023) • No Venue
  Huang et al.
• Look Before You Leap: An Exploratory Study Of Uncertainty Measurement For Large Language Models (2023) • IEEE Transactions on Software Engineering • 27 citations
  Huang et al.
• Segment And Caption Anything (2023) • No Venue
  Huang et al.
• Recommender AI Agent: Integrating Large Language Models For Interactive Recommendations (2023) • ACM Transactions on Information Systems • 23 citations
  Huang et al.
• OPERA: Alleviating Hallucination In Multi-modal Large Language Models Via Over-trust Penalty And Retrospection-allocation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 77 citations
  Huang et al.
• Training-free Lexical Backdoor Attacks On Language Models (2023) • WWW '23: The ACM Web Conference 2023 • 24 citations
  Huang et al.
• Tech: Text-guided Reconstruction Of Lifelike Clothed Humans (2023) • No Venue
  Huang et al.
• Graph Neural Prompting With Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 38 citations
  Tian et al.
• RLHF-V: Towards Trustworthy Mllms Via Behavior Alignment From Fine-grained Correctional Human Feedback (2023) • No Venue
  Yu et al.
• Open-ended Instructable Embodied Agents With Memory-augmented Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Sarch et al.
• Chimed-gpt: A Chinese Medical Large Language Model With Full Training Regime And Better Alignment To Human Preferences (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 23 citations
  Tian et al.
• Interactive Text-to-sql Generation Via Editable Step-by-step Explanations (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Tian et al.
• Will Code Remain A Relevant User Interface For End-user Programming With Generative AI Models? (2023) • Onward! '23: 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software • 20 citations
  Advait Sarkar
• Stay On Topic With Classifier-free Guidance (2023) • No Venue
  Sanchez et al.
• Gloss-free Sign Language Translation: Improving From Visual-language Pretraining (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 54 citations
  Zhou et al.
• Recurrentgpt: Interactive Generation Of (arbitrarily) Long Text (2023) • Arxiv • 10 citations
  Zhou et al.
• Osprey: Pixel Understanding With Visual Instruction Tuning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
  Yuan et al.
• Context-faithful Prompting For Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 21 citations
  Zhou et al.
• Tinygpt-v: Efficient Multimodal Large Language Model Via Small Backbones (2023) • No Venue
  Zhengqing Yuan, Zhaoxu Li, Lichao Sun
• Rlipv2: Fast Scaling Of Relational Language-image Pre-training (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 36 citations
  Yuan et al.
• Advancing Surgical VQA With Scene Graph Knowledge (2023) • International Journal of Computer Assisted Radiology and Surgery • 10 citations
  Yuan et al.
• Instructvideo: Instructing Video Diffusion Models With Human Feedback (2023) • No Venue
  Yuan et al.
• Camels In A Changing Climate: Enhancing LM Adaptation With Tulu 2 (2023) • No Venue
  Ivison et al.
• Breaking The Silence: The Threats Of Using Llms In Software Engineering (2023) • ICSE-NIER'24: 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results • 61 citations
  June Sallou, Thomas Durieux, Annibale Panichella
• Self-consistency For Open-ended Generations (2023) • No Venue
  Jain et al.
• Cotran: An Llm-based Code Translator Using Reinforcement Learning With Feedback From Compiler And Symbolic Execution (2023) • Frontiers in Artificial Intelligence and Applications • 11 citations
  Jana et al.
• Vcoder: Versatile Vision Encoders For Multimodal Large Language Models (2023) • No Venue
  Jitesh Jain, Jianwei Yang, Humphrey Shi
• Metatroll: Few-shot Detection Of State-sponsored Trolls With Transformer Adapters (2023) • WWW '23: The ACM Web Conference 2023 • 11 citations
  Lin Tian, Xiuzhen Zhang, Jey Han Lau
• Language Models In Molecular Discovery (2023) • No Venue
  Janakarajan et al.
• Self-evaluation Guided Beam Search For Reasoning (2023) • Arxiv • 10 citations
  Xie et al.
• Can Chatgpt Replace Stackoverflow? A Study On Robustness And Reliability Of Large Language Model Code Generation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 37 citations
  Li Zhong, Zilong Wang
• Agieval: A Human-centric Benchmark For Evaluating Foundation Models (2023) • Arxiv • 60 citations
  Zhong et al.
• Large Language Models And Simple, Stupid Bugs (2023) • 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) • 38 citations
  Jesse et al.
• Exploring The Impact Of Instruction Data Scaling On Large Language Models: An Empirical Study On Real-world Use Cases (2023) • Arxiv • 19 citations
  Ji et al.
• Hierarchical Verbalizer For Few-shot Hierarchical Text Classification (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Ji et al.
• Let's Think Outside The Box: Exploring Leap-of-thought In Large Language Models With Creative Humor Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 15 citations
  Zhong et al.
• Attt2m: Text-driven Human Motion Generation With Multi-perspective Attention Mechanism (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 50 citations
  Zhong et al.
• On Robustness Of Prompt-based Semantic Parsing With Large Pre-trained Language Model: An Empirical Study On Codex (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 15 citations
  Zhuo et al.
• Sur-adapter: Enhancing Text-to-image Pre-trained Diffusion Models With Large Language Models (2023) • MM '23: The 31st ACM International Conference on Multimedia • 34 citations
  Zhong et al.
• Dginstyle: Domain-generalizable Semantic Segmentation With Image Diffusion Models And Stylized Semantic Control (2023) • Lecture Notes in Computer Science • 20 citations
  Jia et al.
• Clip-count: Towards Text-guided Zero-shot Object Counting (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 57 citations
  Ruixiang Jiang, Lingbo Liu, Changwen Chen
• Active Retrieval Augmented Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 256 citations
  Jiang et al.
• Longllmlingua: Accelerating And Enhancing Llms In Long Context Scenarios Via Prompt Compression (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 39 citations
  Jiang et al.
• Identifying And Mitigating Vulnerabilities In Llm-integrated Applications (2023) • ASIA CCS '24: 19th ACM Asia Conference on Computer and Communications Security • 22 citations
  Jiang et al.
• Hallucination Augmented Contrastive Learning For Multimodal Large Language Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 57 citations
  Jiang et al.
• Llmlingua: Compressing Prompts For Accelerated Inference Of Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 79 citations
  Jiang et al.
• Lion: Adversarial Distillation Of Proprietary Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Jiang et al.
• Scaling Sentence Embeddings With Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 23 citations
  Jiang et al.
• ARES: An Automated Evaluation Framework For Retrieval-augmented Generation Systems (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 56 citations
  Saad-Falcon et al.
• Wavecoder: Widespread And Versatile Enhanced Instruction Tuning With Refined Data Generation (2023) • No Venue
  Yu et al.
• Visually-prompted Language Model For Fine-grained Scene Graph Generation In An Open World (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 23 citations
  Yu et al.
• Solving Challenging Math Word Problems Using GPT-4 Code Interpreter With Code-based Self-verification (2023) • No Venue
  Zhou et al.
• TF-CLIP: Learning Text-free CLIP For Video-based Person Re-identification (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 28 citations
  Yu et al.
• Turning A CLIP Model Into A Scene Text Spotter (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 17 citations
  Yu et al.
• Chat-univi: Unified Visual Representation Empowers Large Language Models With Image And Video Understanding (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 93 citations
  Jin et al.
• Long-range Language Modeling With Self-retrieval (2023) • No Venue
  Ohad Rubin, Jonathan Berant
• Promptmrg: Diagnosis-driven Prompts For Medical Report Generation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 77 citations
  Jin et al.
• XTREME-UP: A User-centric Scarce-data Benchmark For Under-represented Languages (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Ruder et al.
• Mm-vet: Evaluating Large Multimodal Models For Integrated Capabilities (2023) • No Venue
  Yu et al.
• Metamath: Bootstrap Your Own Mathematical Questions For Large Language Models (2023) • No Venue
  Yu et al.
• Hallucidoctor: Mitigating Hallucinatory Toxicity In Visual Instruction Data (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 36 citations
  Yu et al.
• Exploiting Asymmetry For Synthetic Training Data Generation: Synthie And The Case Of Information Extraction (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 41 citations
  Josifoski et al.
• Neuroprompts: An Adaptive Framework To Optimize Prompts For Text-to-image Generation (2023) • No Venue
  Shachar Rosenman, Vasudev Lal, Phillip Howard
• Editing Large Language Models: Problems, Methods, And Opportunities (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 58 citations
  Yao et al.
• Code-switching Text Generation And Injection In Mandarin-english ASR (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Yu et al.
• Emergence Of Segmentation With Minimalistic White-box Transformers (2023) • No Venue
  Yu et al.
• Advising Openmp Parallelization Via A Graph-based Approach With Transformers (2023) • Lecture Notes in Computer Science • 11 citations
  Kadosh et al.
• Convolutions Die Hard: Open-vocabulary Segmentation With Single Frozen Convolutional CLIP (2023) • No Venue
  Yu et al.
• Waffling Around For Performance: Visual Classification With Random Words And Broad Concepts (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 42 citations
  Roth et al.
• What's "up" With Vision-language Models? Investigating Their Struggle With Spatial Reasoning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Amita Kamath, Jack Hessel, Kai-Wei Chang
• Text Encoders Bottleneck Compositionality In Contrastive Vision-language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Amita Kamath, Jack Hessel, Kai-Wei Chang
• Cgt-gan: Clip-guided Text GAN For Image Captioning (2023) • MM '23: The 31st ACM International Conference on Multimedia • 26 citations
  Yu et al.
• Augmentation-adapted Retriever Improves Generalization Of Language Models As Generic Plug-in (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Yu et al.
• Copyright Violations And Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Karamolegkou et al.
• Lightweight Transformers For Clinical Natural Language Processing (2023) • Natural Language Engineering • 16 citations
  Rohanian et al.
• Benchmarking Causal Study To Interpret Large Language Models For Source Code (2023) • 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME) • 11 citations
  Rodriguez-Cardenas et al.
• Next-step Hint Generation For Introductory Programming Using Large Language Models (2023) • ACE 2024: Australian Computing Education Conference • 37 citations
  Lianne Roest, Hieke Keuning, Johan Jeuring
• Single-stream Multi-level Alignment For Vision-language Pretraining (2022) • Lecture Notes in Computer Science • 10 citations
  Khan et al.
• Textless-lib: A Library For Textless Spoken Language Processing (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations • 24 citations
  Kharitonov et al.
• Linearly Mapping From Image To Text Space (2022) • Arxiv • 25 citations
  Merullo et al.
• Decomposed Prompting: A Modular Approach For Solving Complex Tasks (2022) • Arxiv • 91 citations
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• Searching For Best Practices In Retrieval-augmented Generation (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 55 citations
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• Resonance Rope: Improving Context Length Generalization Of Large Language Models (2024) • No Venue
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• Remoe: Fully Differentiable Mixture-of-experts With Relu Routing (2024) • No Venue
  Ziteng Wang, Jianfei Chen, Jun Zhu
• Rectified Diffusion: Straightness Is Not Your Need In Rectified Flow (2024) • No Venue
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• Qihoo-t2x: An Efficiency-focused Diffusion Transformer Via Proxy Tokens For Text-to-any-task (2024) • No Venue
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• Q-sparse: All Large Language Models Can Be Fully Sparsely-activated (2024) • No Venue
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• Platypus: A Generalized Specialist Model For Reading Text In Various Forms (2024) • No Venue
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• Neural Network Diffusion (2024) • No Venue
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• Multilingual E5 Text Embeddings: A Technical Report (2024) • No Venue
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• Mambabyte: Token-free Selective State Space Model (2024) • No Venue
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• Mamba-yolo-world: Marrying Yolo-world With Mamba For Open-vocabulary Detection (2024) • No Venue
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• M\(^2\)PT: Multimodal Prompt Tuning For Zero-shot Instruction Learning (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 19 citations
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• Longllava: Scaling Multi-modal Llms To 1000 Images Efficiently Via Hybrid Architecture (2024) • No Venue
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• LLM4MSR: An Llm-enhanced Paradigm For Multi-scenario Recommendation (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 15 citations
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• Llm3:large Language Model-based Task And Motion Planning With Motion Failure Reasoning (2024) • 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 18 citations
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• Litesearch: Efficacious Tree Search For LLM (2024) • No Venue
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• Let The Expert Stick To His Last: Expert-specialized Fine-tuning For Sparse Architectural Large Language Models (2024) • No Venue
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• LAVE: Llm-powered Agent Assistance And Language Augmentation For Video Editing (2024) • No Venue
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• ILLUME: Illuminating Your Llms To See, Draw, And Self-enhance (2024) • No Venue
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• How Do Your Code Llms Perform? Empowering Code Instruction Tuning With High-quality Data (2024) • No Venue
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• Grokked Transformers Are Implicit Reasoners: A Mechanistic Journey To The Edge Of Generalization (2024) • No Venue
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• Fitv2: Scalable And Improved Flexible Vision Transformer For Diffusion Model (2024) • No Venue
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• Emu3: Next-token Prediction Is All You Need (2024) • No Venue
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• DPLM-2: A Multimodal Diffusion Protein Language Model (2024) • No Venue
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• Docgraphlm: Documental Graph Language Model For Information Extraction (2024) • No Venue
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• Defending Llms Against Jailbreaking Attacks Via Backtranslation (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
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• Continuous Speculative Decoding For Autoregressive Image Generation (2024) • No Venue
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• Can Small Language Models Be Good Reasoners For Sequential Recommendation? (2024) • WWW '24: The ACM Web Conference 2024 • 25 citations
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• Bitstack: Fine-grained Size Control For Compressed Large Language Models In Variable Memory Environments (2024) • No Venue
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• Bitnet A4.8: 4-bit Activations For 1-bit Llms (2024) • No Venue
  Hongyu Wang, Shuming Ma, Furu Wei
• Animatelcm: Accelerating The Animation Of Personalized Diffusion Models And Adapters With Decoupled Consistency Learning (2024) • No Venue
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• Adapting Llama Decoder To Vision Transformer (2024) • No Venue
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• A Comprehensive Survey Of Small Language Models In The Era Of Large Language Models: Techniques, Enhancements, Applications, Collaboration With Llms, And Trustworthiness (2024) • ACM Transactions on Intelligent Systems and Technology • 21 citations
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• The Mamba In The Llama: Distilling And Accelerating Hybrid Models (2024) • No Venue
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• Slowfast-llava: A Strong Training-free Baseline For Video Large Language Models (2024) • No Venue
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• Taipan: Efficient And Expressive State Space Language Models With Selective Attention (2024) • No Venue
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• Dyvo: Dynamic Vocabularies For Learned Sparse Retrieval With Entities (2024) • No Venue
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• Swiftedit: Lightning Fast Text-guided Image Editing Via One-step Diffusion (2024) • No Venue
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• A Survey On Knowledge Distillation Of Large Language Models (2024) • IEEE Transactions on Artificial Intelligence • 25 citations
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• Transforming Dental Diagnostics With Artificial Intelligence: Advanced Integration Of Chatgpt And Large Language Models For Patient Care (2024) • Frontiers in Dental Medicine • 24 citations
  Masoumeh Farhadi Nia, Mohsen Ahmadi, Elyas Irankhah
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• DITTO-2: Distilled Diffusion Inference-time T-optimization For Music Generation (2024) • No Venue
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• Engineering Safety Requirements For Autonomous Driving With Large Language Models (2024) • 2024 IEEE 32nd International Requirements Engineering Conference (RE) • 15 citations
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• In Deep Reinforcement Learning, A Pruned Network Is A Good Network (2024) • No Venue
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• Towards Modular Llms By Building And Reusing A Library Of Loras (2024) • No Venue
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• Pluto And Charon: A Time And Memory Efficient Collaborative Edge AI Framework For Personal Llms Fine-tuning (2024) • ICPP '24: the 53rd International Conference on Parallel Processing • 12 citations
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• Low-bit Quantization Favors Undertrained Llms: Scaling Laws For Quantized Llms With 100T Training Tokens (2024) • No Venue
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• Byte Latent Transformer: Patches Scale Better Than Tokens (2024) • No Venue
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• Diffusion Augmented Agents: A Framework For Efficient Exploration And Transfer Learning (2024) • No Venue
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• Llmlingua-2: Data Distillation For Efficient And Faithful Task-agnostic Prompt Compression (2024) • No Venue
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• Knowledge Distillation In Automated Annotation: Supervised Text Classification With Llm-generated Training Labels (2024) • Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024) • 15 citations
  Nicholas Pangakis, Samuel Wolken
• Salute The Classic: Revisiting Challenges Of Machine Translation In The Age Of Large Language Models (2024) • Transactions of the Association for Computational Linguistics • 11 citations
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• Pre-trained Vision And Language Transformers Are Few-shot Incremental Learners (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
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• Efficientvmamba: Atrous Selective Scan For Light Weight Visual Mamba (2024) • No Venue
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• Eagle And Finch: RWKV With Matrix-valued States And Dynamic Recurrence (2024) • No Venue
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• OWSM V3.1: Better And Faster Open Whisper-style Speech Models Based On E-branchformer (2024) • No Venue
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• Nanoflow: Towards Optimal Large Language Model Serving Throughput (2024) • No Venue
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• Visual Echoes: A Simple Unified Transformer For Audio-visual Generation (2024) • No Venue
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• Slimlm: An Efficient Small Language Model For On-device Document Assistance (2024) • No Venue
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• TCM-FTP: Fine-tuning Large Language Models For Herbal Prescription Prediction (2024) • 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) • 12 citations
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• Telecom Language Models: Must They Be Large? (2024) • 2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) • 17 citations
  Nicola Piovesan, Antonio de Domenico, Fadhel Ayed
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• Large Language Models Meet User Interfaces: The Case Of Provisioning Feedback (2024) • Computers and Education: Artificial Intelligence • 19 citations
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• Constraint Back-translation Improves Complex Instruction Following Of Large Language Models (2024) • No Venue
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• Shapellm: Universal 3D Object Understanding For Embodied Interaction (2024) • Lecture Notes in Computer Science • 28 citations
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• BASS: Batched Attention-optimized Speculative Sampling (2024) • No Venue
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• Visual Grounding With Multi-modal Conditional Adaptation (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 11 citations
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• Large Language Models Can Learn Temporal Reasoning (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
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• LATTE3D: Large-scale Amortized Text-to-enhanced3d Synthesis (2024) • Lecture Notes in Computer Science • 18 citations
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• Empirical Guidelines For Deploying Llms Onto Resource-constrained Edge Devices (2024) • ACM Transactions on Design Automation of Electronic Systems • 12 citations
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• Freescale: Unleashing The Resolution Of Diffusion Models Via Tuning-free Scale Fusion (2024) • No Venue
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• The Frontier Of Data Erasure: Machine Unlearning For Large Language Models (2024) • Computer • 15 citations
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• Pyramiddrop: Accelerating Your Large Vision-language Models Via Pyramid Visual Redundancy Reduction (2024) • No Venue
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• 2BP: 2-stage Backpropagation (2024) • No Venue
  Christopher Rae, Joseph K. L. Lee, James Richings
• EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling With Retrieval-augmented Generation (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 15 citations
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• Scavenging Hyena: Distilling Transformers Into Long Convolution Models (2024) • No Venue
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• Mixture-of-depths: Dynamically Allocating Compute In Transformer-based Language Models (2024) • No Venue
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• Evaluating D-MERIT Of Partial-annotation On Information Retrieval (2024) • No Venue
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• SAM 2: Segment Anything In Images And Videos (2024) • No Venue
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• Gemini 1.5: Unlocking Multimodal Understanding Across Millions Of Tokens Of Context (2024) • No Venue
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• A Survey Of Large Language Models For Graphs (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 41 citations
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• Trans-tokenization And Cross-lingual Vocabulary Transfers: Language Adaptation Of Llms For Low-resource NLP (2024) • No Venue
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• Detclipv3: Towards Versatile Generative Open-vocabulary Object Detection (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 21 citations
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• Think: Thinner Key Cache By Query-driven Pruning (2024) • No Venue
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• Explore Until Confident: Efficient Exploration For Embodied Question Answering (2024) • Robotics: Science and Systems 2024 • 17 citations
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• Samba: Simple Hybrid State Space Models For Efficient Unlimited Context Language Modeling (2024) • No Venue
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• Efficient Diffusion Transformer Policies With Mixture Of Expert Denoisers For Multitask Learning (2024) • No Venue
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• Needle Threading: Can Llms Follow Threads Through Near-million-scale Haystacks? (2024) • No Venue
  Jonathan Roberts, Kai Han, Samuel Albanie
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• Achieving Peak Performance For Large Language Models: A Systematic Review (2024) • IEEE Access • 20 citations
  Zhyar Rzgar K Rostam, Sándor Szénási, Gábor Kertész
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• Learn To Code Sustainably: An Empirical Study On Llm-based Green Code Generation (2024) • LLM4Code '24: 1st International Workshop on Large Language Models for Code • 10 citations
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• Human-ai Collaborative Essay Scoring: A Dual-process Framework With Llms (2024) • LAK '25: The 15th International Learning Analytics and Knowledge Conference • 33 citations
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• Adaptive Memory Replay For Continual Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 13 citations
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• Security Risks Concerns Of Generative AI In The Iot (2024) • IEEE Internet of Things Magazine • 16 citations
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• Unified Language-driven Zero-shot Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
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• Laco: Large Language Model Pruning Via Layer Collapse (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 12 citations
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• Dynamollm: Designing LLM Inference Clusters For Performance And Energy Efficiency (2024) • 2025 IEEE International Symposium on High Performance Computer Architecture (HPCA) • 29 citations
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  Jainaveen Sundaram, Ravishankar Iyer
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• Automating Research Synthesis With Domain-specific Large Language Model Fine-tuning (2024) • ACM Transactions on Knowledge Discovery from Data • 32 citations
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• Minigpt-3d: Efficiently Aligning 3D Point Clouds With Large Language Models Using 2D Priors (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 14 citations
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• Optimization Methods For Personalizing Large Language Models Through Retrieval Augmentation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 38 citations
  Alireza Salemi, Surya Kallumadi, Hamed Zamani
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• High-performance Automated Abstract Screening With Large Language Model Ensembles (2024) • Journal of the American Medical Informatics Association • 21 citations
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• Deeploy: Enabling Energy-efficient Deployment Of Small Language Models On Heterogeneous Microcontrollers (2024) • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems • 15 citations
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• Curriculum Recommendations Using Transformer Base Model With Infonce Loss And Language Switching Method (2024) • 2023 5th International Conference on Artificial Intelligence and Computer Applications (ICAICA) • 15 citations
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• Flashattention-3: Fast And Accurate Attention With Asynchrony And Low-precision (2024) • Advances in Neural Information Processing Systems 37 • 18 citations
  Shah et al.
• Putting Gpt-4o To The Sword: A Comprehensive Evaluation Of Language, Vision, Speech, And Multimodal Proficiency (2024) • Arxiv • 26 citations
  Shahriar et al.
• Editing Factual Knowledge And Explanatory Ability Of Medical Large Language Models (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 12 citations
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  Chenze Shao, Fandong Meng, Jie Zhou
• Imp: Highly Capable Large Multimodal Models For Mobile Devices (2024) • No Venue
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• Configurable Foundation Models: Building Llms From A Modular Perspective (2024) • No Venue
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• Efficient Prompting For Llm-based Generative Internet Of Things (2024) • IEEE Internet of Things Journal • 31 citations
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• Power Scheduler: A Batch Size And Token Number Agnostic Learning Rate Scheduler (2024) • No Venue
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• Lumos : Empowering Multimodal Llms With Scene Text Recognition (2024) • No Venue
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• Discovering The Gems In Early Layers: Accelerating Long-context Llms With 1000x Input Token Reduction (2024) • No Venue
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• Generate-then-ground In Retrieval-augmented Generation For Multi-hop Question Answering (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Shi et al.
• Maximizing User Experience With Llmops-driven Personalized Recommendation Systems (2024) • Applied and Computational Engineering • 13 citations
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• VSSD: Vision Mamba With Non-casual State Space Duality (2024) • No Venue
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• Time-moe: Billion-scale Time Series Foundation Models With Mixture Of Experts (2024) • No Venue
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• Hivg: Hierarchical Multimodal Fine-grained Modulation For Visual Grounding (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 17 citations
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• Fast On-device LLM Inference With Npus (2024) • ASPLOS '25: 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems • 11 citations
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• Unlocking Efficiency In Large Language Model Inference: A Comprehensive Survey Of Speculative Decoding (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
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• MENTOR: Multi-level Self-supervised Learning For Multimodal Recommendation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
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• FP6-LLM: Efficiently Serving Large Language Models Through Fp6-centric Algorithm-system Co-design (2024) • No Venue
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• No More Adam: Learning Rate Scaling At Initialization Is All You Need (2024) • No Venue
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• Llava-mod: Making Llava Tiny Via Moe Knowledge Distillation (2024) • No Venue
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• Attention Overflow: Language Model Input Blur During Long-context Missing Items Recommendation (2024) • No Venue
  Damien Sileo
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• Star Attention: Efficient LLM Inference Over Long Sequences (2024) • No Venue
  Shantanu Acharya, Fei Jia, Boris Ginsburg
• A Survey On Symbolic Knowledge Distillation Of Large Language Models (2024) • IEEE Transactions on Artificial Intelligence • 25 citations
  Kamal Acharya, Alvaro Velasquez, Houbing Herbert Song
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• AI Suggestions Homogenize Writing Toward Western Styles And Diminish Cultural Nuances (2024) • CHI 2025: CHI Conference on Human Factors in Computing Systems • 22 citations
  Dhruv Agarwal, Mor Naaman, Aditya Vashistha
• Mtlora: A Low-rank Adaptation Approach For Efficient Multi-task Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 24 citations
  Ahmed Agiza, Marina Neseem, Sherief Reda
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• ALISA: Accelerating Large Language Model Inference Via Sparsity-aware KV Caching (2024) • 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) • 21 citations
  Youpeng Zhao, di Wu, Jun Wang
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• The Silicon Ceiling: Auditing Gpt's Race And Gender Biases In Hiring (2024) • EAAMO '24: Equity and Access in Algorithms, Mechanisms, and Optimization • 24 citations
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• Assessing And Understanding Creativity In Large Language Models (2024) • Machine Intelligence Research • 13 citations
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• Speculative Streaming: Fast LLM Inference Without Auxiliary Models (2024) • No Venue
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• Unsupervised Domain Adaption Harnessing Vision-language Pre-training (2024) • IEEE Transactions on Circuits and Systems for Video Technology • 15 citations
  Wenlve Zhou, Zhiheng Zhou
• Navgpt-2: Unleashing Navigational Reasoning Capability For Large Vision-language Models (2024) • Lecture Notes in Computer Science • 22 citations
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• Llmtimesmapreduce: Simplified Long-sequence Processing Using Large Language Models (2024) • No Venue
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• Read-me: Refactorizing Llms As Router-decoupled Mixture Of Experts With System Co-design (2024) • No Venue
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• Medusa: Simple LLM Inference Acceleration Framework With Multiple Decoding Heads (2024) • No Venue
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• Cognitive Personalized Search Integrating Large Language Models With An Efficient Memory Mechanism (2024) • WWW '24: The ACM Web Conference 2024 • 12 citations
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• Galore: Memory-efficient LLM Training By Gradient Low-rank Projection (2024) • No Venue
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• Towards Educator-driven Tutor Authoring: Generative AI Approaches For Creating Intelligent Tutor Interfaces (2024) • L@S '24: Eleventh ACM Conference on Learning @ Scale • 12 citations
  Tommaso Calo, Christopher J. MacLellan
• MADTP: Multimodal Alignment-guided Dynamic Token Pruning For Accelerating Vision-language Transformer (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
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• Compassjudger-1: All-in-one Judge Model Helps Model Evaluation And Evolution (2024) • No Venue
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• Survey On Large Language Model-enhanced Reinforcement Learning: Concept, Taxonomy, And Methods (2024) • IEEE Transactions on Neural Networks and Learning Systems • 67 citations
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• Edgefusion: On-device Text-to-image Generation (2024) • No Venue
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• Web Agents With World Models: Learning And Leveraging Environment Dynamics In Web Navigation (2024) • No Venue
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• Scaling Synthetic Data Creation With 1,000,000,000 Personas (2024) • No Venue
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• SPAR: Personalized Content-based Recommendation Via Long Engagement Attention (2024) • No Venue
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• Usimagent: Large Language Models For Simulating Search Users (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 10 citations
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• Dolphin: Long Context As A New Modality For Energy-efficient On-device Language Models (2024) • No Venue
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• RLHF Deciphered: A Critical Analysis Of Reinforcement Learning From Human Feedback For Llms (2024) • ACM Computing Surveys • 27 citations
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• Towards A Clinically Accessible Radiology Foundation Model: Open-access And Lightweight, With Automated Evaluation (2024) • Nature Communications • 19 citations
  Chaves et al.
• Do NOT Think That Much For 2+3=? On The Overthinking Of O1-like Llms (2024) • No Venue
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• Dijiang: Efficient Large Language Models Through Compact Kernelization (2024) • No Venue
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• A Spark Of Vision-language Intelligence: 2-dimensional Autoregressive Transformer For Efficient Finegrained Image Generation (2024) • No Venue
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• An Image Is Worth 1/2 Tokens After Layer 2: Plug-and-play Inference Acceleration For Large Vision-language Models (2024) • No Venue
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• Benchmarking Large Language Models On Answering And Explaining Challenging Medical Questions (2024) • Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 12 citations
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• Diversity Empowers Intelligence: Integrating Expertise Of Software Engineering Agents (2024) • No Venue
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• Efficientqat: Efficient Quantization-aware Training For Large Language Models (2024) • No Venue
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• F5-TTS: A Fairytaler That Fakes Fluent And Faithful Speech With Flow Matching (2024) • No Venue
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• Magicdec: Breaking The Latency-throughput Tradeoff For Long Context Generation With Speculative Decoding (2024) • No Venue
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• M3-embedding: Multi-linguality, Multi-functionality, Multi-granularity Text Embeddings Through Self-knowledge Distillation (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 288 citations
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• Octo-planner: On-device Language Model For Planner-action Agents (2024) • No Venue
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• OD-VAE: An Omni-dimensional Video Compressor For Improving Latent Video Diffusion Model (2024) • No Venue
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• Reverse Thinking Makes Llms Stronger Reasoners (2024) • No Venue
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• Prefixquant: Static Quantization Beats Dynamic Through Prefixed Outliers In Llms (2024) • No Venue
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• Pixart-δ: Fast And Controllable Image Generation With Latent Consistency Models (2024) • No Venue
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• Plan-on-graph: Self-correcting Adaptive Planning Of Large Language Model On Knowledge Graphs (2024) • Advances in Neural Information Processing Systems 37 • 10 citations
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• Rlingua: Improving Reinforcement Learning Sample Efficiency In Robotic Manipulations With Large Language Models (2024) • IEEE Robotics and Automation Letters • 18 citations
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• SAR3D: Autoregressive 3D Object Generation And Understanding Via Multi-scale 3D VQVAE (2024) • No Venue
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• Soaring From 4K To 400K: Extending Llm's Context With Activation Beacon (2024) • No Venue
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• UFO: A Ui-focused Agent For Windows OS Interaction (2024) • No Venue
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• VP3D: Unleashing 2D Visual Prompt For Text-to-3d Generation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
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• Self-exploring Language Models: Active Preference Elicitation For Online Alignment (2024) • No Venue
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• Reviseval: Improving Llm-as-a-judge Via Response-adapted References (2024) • No Venue
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• Sageattention: Accurate 8-bit Attention For Plug-and-play Inference Acceleration (2024) • No Venue
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• Sageattention2 Technical Report: Accurate 4 Bit Attention For Plug-and-play Inference Acceleration (2024) • No Venue
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• Retrievalqa: Assessing Adaptive Retrieval-augmented Generation For Short-form Open-domain Question Answering (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Zihan Zhang, Meng Fang, Ling Chen
• Q-galore: Quantized Galore With INT4 Projection And Layer-adaptive Low-rank Gradients (2024) • No Venue
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• Recurrent Drafter For Fast Speculative Decoding In Large Language Models (2024) • No Venue
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• POA: Pre-training Once For Models Of All Sizes (2024) • No Venue
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• Plad: Preference-based Large Language Model Distillation With Pseudo-preference Pairs (2024) • No Venue
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• Onegen: Efficient One-pass Unified Generation And Retrieval For Llms (2024) • No Venue
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• On The Diagram Of Thought (2024) • No Venue
  Yifan Zhang, Yang Yuan, Andrew Chi-Chih Yao
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• Long Context Transfer From Language To Vision (2024) • No Venue
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• Lmms-eval: Reality Check On The Evaluation Of Large Multimodal Models (2024) • No Venue
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• LLM Hallucinations In Practical Code Generation: Phenomena, Mechanism, And Mitigation (2024) • Proceedings of the ACM on Software Engineering • 31 citations
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• GRAPE: Generalizing Robot Policy Via Preference Alignment (2024) • No Venue
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• Distribution Backtracking Builds A Faster Convergence Trajectory For One-step Diffusion Distillation (2024) • No Venue
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• HARE: Human Priors, A Key To Small Language Model Efficiency (2024) • No Venue
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• GS-LRM: Large Reconstruction Model For 3D Gaussian Splatting (2024) • No Venue
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• Gpt4rec: Graph Prompt Tuning For Streaming Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
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• Gated Slot Attention For Efficient Linear-time Sequence Modeling (2024) • No Venue
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• Extending Llama-3's Context Ten-fold Overnight (2024) • No Venue
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• Eyetrans: Merging Human And Machine Attention For Neural Code Summarization (2024) • Proceedings of the ACM on Software Engineering • 12 citations
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• Automathtext: Autonomous Data Selection With Language Models For Mathematical Texts (2024) • No Venue
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• Masked Audio Generation Using A Single Non-autoregressive Transformer (2024) • No Venue
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• On The Limits Of Agency In Agent-based Models (2024) • No Venue
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• Compressed Chain Of Thought: Efficient Reasoning Through Dense Representations (2024) • No Venue
  Jeffrey Cheng, Benjamin van Durme
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• Searching Priors Makes Text-to-video Synthesis Better (2024) • No Venue
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• Clip-moe: Towards Building Mixture Of Experts For CLIP With Diversified Multiplet Upcycling (2024) • No Venue
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• Degradation-guided One-step Image Super-resolution With Diffusion Priors (2024) • No Venue
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• Critic-v: VLM Critics Help Catch VLM Errors In Multimodal Reasoning (2024) • No Venue
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• Cross-attention Makes Inference Cumbersome In Text-to-image Diffusion Models (2024) • No Venue
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• Adam-mini: Use Fewer Learning Rates To Gain More (2024) • No Venue
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• Beyond Llava-hd: Diving Into High-resolution Large Multimodal Models (2024) • No Venue
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• BAM! Just Like That: Simple And Efficient Parameter Upcycling For Mixture Of Experts (2024) • No Venue
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• Advancing Building Energy Modeling With Large Language Models: Exploration And Case Studies (2024) • Energy and Buildings • 50 citations
  Liang Zhang, Zhelun Chen, Vitaly Ford
• Affordance-based Robot Manipulation With Flow Matching (2024) • No Venue
  Fan Zhang, Michael Gienger
• LLM-AD: Large Language Model Based Audio Description System (2024) • No Venue
  Peng Chu, Jiang Wang, Andre Abrantes
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• Diversity-rewarded CFG Distillation (2024) • No Venue
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• Reducing The Footprint Of Multi-vector Retrieval With Minimal Performance Impact Via Token Pooling (2024) • No Venue
  Benjamin Clavié, Antoine Chaffin, Griffin Adams
• Jacolbertv2.5: Optimising Multi-vector Retrievers To Create State-of-the-art Japanese Retrievers With Constrained Resources (2024) • No Venue
  Benjamin Clavié
• A Performance Study Of Llm-generated Code On Leetcode (2024) • EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering • 50 citations
  Tristan Coignion, Clément Quinton, Romain Rouvoy
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• Efficiently Exploring Large Language Models For Document-level Machine Translation With In-context Learning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
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• Distillation Matters: Empowering Sequential Recommenders To Match The Performance Of Large Language Model (2024) • RecSys '24: 18th ACM Conference on Recommender Systems • 15 citations
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• NVLM: Open Frontier-class Multimodal Llms (2024) • No Venue
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• Vq4dit: Efficient Post-training Vector Quantization For Diffusion Transformers (2024) • No Venue
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• A Simple And Effective L_2 Norm-based Strategy For KV Cache Compression (2024) • No Venue
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• CYCLE: Learning To Self-refine The Code Generation (2024) • Proceedings of the ACM on Programming Languages • 24 citations
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• Advanced RAG Models With Graph Structures: Optimizing Complex Knowledge Reasoning And Text Generation (2024) • 2024 5th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) • 15 citations
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• Bitdistiller: Unleashing The Potential Of Sub-4-bit Llms Via Self-distillation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
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• Llamafactory: Unified Efficient Fine-tuning Of 100+ Language Models (2024) • No Venue
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• Llms Assist NLP Researchers: Critique Paper (meta-)reviewing (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 10 citations
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• Efficient Exploration For Llms (2024) • No Venue
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  Slava Elizarov, Ciara Rowles, Simon Donné
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• Scaling Sequential Recommendation Models With Transformers (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 15 citations
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• Trustworthy AI: Securing Sensitive Data In Large Language Models (2024) • AI • 43 citations
  Georgios Feretzakis, Vassilios S. Verykios
• Generative AI In Cybersecurity: A Comprehensive Review Of LLM Applications And Vulnerabilities (2024) • Internet of Things and Cyber-Physical Systems • 36 citations
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• IISAN: Efficiently Adapting Multimodal Representation For Sequential Recommendation With Decoupled PEFT (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 25 citations
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• Moa: Mixture Of Sparse Attention For Automatic Large Language Model Compression (2024) • No Venue
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• Lazyllm: Dynamic Token Pruning For Efficient Long Context LLM Inference (2024) • No Venue
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• Application Of LLM Agents In Recruitment: A Novel Framework For Resume Screening (2024) • Journal of Information Processing • 15 citations
  Chengguang Gan, Qinghao Zhang, Tatsunori Mori
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• Data Mixing Made Efficient: A Bivariate Scaling Law For Language Model Pretraining (2024) • No Venue
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• Breaking The Length Barrier: Llm-enhanced CTR Prediction In Long Textual User Behaviors (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 25 citations
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• Enhancing Knowledge Retrieval With In-context Learning And Semantic Search Through Generative AI (2024) • Knowledge-Based Systems • 19 citations
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• RAMIE: Retrieval-augmented Multi-task Information Extraction With Large Language Models On Dietary Supplements (2024) • Journal of the American Medical Informatics Association • 10 citations
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• APTQ: Attention-aware Post-training Mixed-precision Quantization For Large Language Models (2024) • DAC '24: 61st ACM/IEEE Design Automation Conference • 16 citations
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• Moltailor: Tailoring Chemical Molecular Representation To Specific Tasks Via Text Prompts (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
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• A Survey: Collaborative Hardware And Software Design In The Era Of Large Language Models (2024) • IEEE Circuits and Systems Magazine • 12 citations
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• Lightrag: Simple And Fast Retrieval-augmented Generation (2024) • Arxiv • 15 citations
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• Llava-ultra: Large Chinese Language And Vision Assistant For Ultrasound (2024) • Proceedings of the 32nd ACM International Conference on Multimedia • 10 citations
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• SLAB: Efficient Transformers With Simplified Linear Attention And Progressive Re-parameterized Batch Normalization (2024) • No Venue
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• Mixllm: LLM Quantization With Global Mixed-precision Between Output-features And Highly-efficient System Design (2024) • No Venue
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• Fusemoe: Mixture-of-experts Transformers For Fleximodal Fusion (2024) • Advances in Neural Information Processing Systems 37 • 15 citations
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• Federated Recommendation Via Hybrid Retrieval Augmented Generation (2024) • 2024 IEEE International Conference on Big Data (BigData) • 14 citations
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• ABQ-LLM: Arbitrary-bit Quantized Inference Acceleration For Large Language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
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  Shabnam Hassani
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• An Empirical Study Of Llama3 Quantization: From Llms To Mllms (2024) • Visual Intelligence • 16 citations
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• On The Test-time Zero-shot Generalization Of Vision-language Models: Do We Really Need Prompt Learning? (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Maxime Zanella, Ismail Ben Ayed
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• Deepspeed-fastgen: High-throughput Text Generation For Llms Via MII And Deepspeed-inference (2024) • No Venue
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• Telme: Teacher-leading Multimodal Fusion Network For Emotion Recognition In Conversation (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
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• Video-3d LLM: Learning Position-aware Video Representation For 3D Scene Understanding (2024) • No Venue
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• Evaluating Large Language Models As Virtual Annotators For Time-series Physical Sensing Data (2024) • ACM Transactions on Intelligent Systems and Technology • 12 citations
  Aritra Hota, Soumyajit Chatterjee, Sandip Chakraborty
• Comparing Large Language Models And Human Programmers For Generating Programming Code (2024) • Advanced Science • 25 citations
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• Deep Learning For Medical Text Processing: BERT Model Fine-tuning And Comparative Study (2024) • 2024 3rd International Symposium on Sensor Technology and Control (ISSTC) • 12 citations
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• Findings Of The Second Babylm Challenge: Sample-efficient Pretraining On Developmentally Plausible Corpora (2024) • Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning • 28 citations
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• Snapgen: Taming High-resolution Text-to-image Models For Mobile Devices With Efficient Architectures And Training (2024) • No Venue
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• AIM: Adaptive Inference Of Multi-modal Llms Via Token Merging And Pruning (2024) • No Venue
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• Autocrawler: A Progressive Understanding Web Agent For Web Crawler Generation (2024) • No Venue
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• Billm: Pushing The Limit Of Post-training Quantization For Llms (2024) • No Venue
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• Compression Represents Intelligence Linearly (2024) • No Venue
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• Decision Mamba: Reinforcement Learning Via Hybrid Selective Sequence Modeling (2024) • Advances in Neural Information Processing Systems 37 • 21 citations
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• Exploring Chatgpt For Next-generation Information Retrieval: Opportunities And Challenges (2024) • Web Intelligence • 17 citations
  Yizheng Huang, Jimmy Huang
• How Good Are Low-bit Quantized Llama3 Models? An Empirical Study (2024) • No Venue
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• O1 Replication Journey -- Part 2: Surpassing O1-preview Through Simple Distillation, Big Progress Or Bitter Lesson? (2024) • No Venue
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• New Solutions On LLM Acceleration, Optimization, And Application (2024) • DAC '24: 61st ACM/IEEE Design Automation Conference • 19 citations
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• Large Language Models For Uavs: Current State And Pathways To The Future (2024) • IEEE Open Journal of Vehicular Technology • 67 citations
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• Read, Watch And Scream! Sound Generation From Text And Video (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
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• Enhancing Question Answering For Enterprise Knowledge Bases Using Large Language Models (2024) • Lecture Notes in Computer Science • 17 citations
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• Unlocking The Power Of Large Language Models For Entity Alignment (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
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• EDGE-LLM: Enabling Efficient Large Language Model Adaptation On Edge Devices Via Layerwise Unified Compression And Adaptive Layer Tuning And Voting (2024) • DAC '24: 61st ACM/IEEE Design Automation Conference • 27 citations
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• Lexc-gen: Generating Data For Extremely Low-resource Languages With Large Language Models And Bilingual Lexicons (2024) • No Venue
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• A Comprehensive Evaluation Of Quantization Strategies For Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 27 citations
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• A Survey On Llm-based Code Generation For Low-resource And Domain-specific Programming Languages (2024) • ACM Transactions on Software Engineering and Methodology • 11 citations
  Sathvik Joel, Jie Jw Wu, Fatemeh H. Fard
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• A Survey On Hardware Accelerators For Large Language Models (2024) • Applied Sciences • 19 citations
  Christoforos Kachris
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• Enhancing End-to-end Multi-task Dialogue Systems: A Study On Intrinsic Motivation Reinforcement Learning Algorithms For Improved Training And Adaptability (2024) • 2024 IEEE 18th International Conference on Semantic Computing (ICSC) • 11 citations
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• Efficient Test-time Adaptation Of Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 41 citations
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• Large Language Models Meet Collaborative Filtering: An Efficient All-round Llm-based Recommender System (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 77 citations
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• Logparser-llm: Advancing Efficient Log Parsing With Large Language Models (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 24 citations
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• Efficiently Distilling Llms For Edge Applications (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track) • 10 citations
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• Babilong: Testing The Limits Of Llms With Long Context Reasoning-in-a-haystack (2024) • No Venue
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• Biomistral: A Collection Of Open-source Pretrained Large Language Models For Medical Domains (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 136 citations
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• Gallop: Learning Global And Local Prompts For Vision-language Models (2024) • Lecture Notes in Computer Science • 19 citations
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• Melting Point: Mobile Evaluation Of Language Transformers (2024) • ACM MobiCom '24: 30th Annual International Conference on Mobile Computing and Networking • 15 citations
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• What Matters When Building Vision-language Models? (2024) • No Venue
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  Hugo Laurençon, Léo Tronchon, Victor Sanh
• Tender: Accelerating Large Language Models Via Tensor Decomposition And Runtime Requantization (2024) • 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) • 28 citations
  Jungi Lee, Wonbeom Lee, Jaewoong Sim
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• A Comprehensive Evaluation Of Quantized Instruction-tuned Large Language Models: An Experimental Analysis Up To 405B (2024) • No Venue
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• Beyond A*: Better Planning With Transformers Via Search Dynamics Bootstrapping (2024) • No Venue
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• Same Task, More Tokens: The Impact Of Input Length On The Reasoning Performance Of Large Language Models (2024) • No Venue
  Mosh Levy, Alon Jacoby, Yoav Goldberg
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• Controlar: Controllable Image Generation With Autoregressive Models (2024) • No Venue
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• Snapkv: LLM Knows What You Are Looking For Before Generation (2024) • No Venue
  Li et al.
• Dual3d: Efficient And Consistent Text-to-3d Generation With Dual-mode Multi-view Latent Diffusion (2024) • No Venue
  Li et al.
• Direct Preference Knowledge Distillation For Large Language Models (2024) • No Venue
  Li et al.
• EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty (2024) • No Venue
  Li et al.
• Focusllm: Scaling Llm's Context By Parallel Decoding (2024) • No Venue
  Li et al.
• HUNYUANPROVER: A Scalable Data Synthesis Framework And Guided Tree Search For Automated Theorem Proving (2024) • No Venue
  Li et al.
• K-sort Arena: Efficient And Reliable Benchmarking For Generative Models Via K-wise Human Preferences (2024) • No Venue
  Li et al.
• Mmedagent: Learning To Use Medical Tools With Multi-modal Agent (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 22 citations
  Li et al.
• Large Language Models Can Self-improve In Long-context Reasoning (2024) • No Venue
  Li et al.
• LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System For Boosting Query Efficiency (2024) • No Venue
  Li et al.
• Mix-ln: Unleashing The Power Of Deeper Layers By Combining Pre-ln And Post-ln (2024) • No Venue
  Pengxiang Li, Lu Yin, Shiwei Liu
• One Prompt Word Is Enough To Boost Adversarial Robustness For Pre-trained Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Li et al.
• Nearest Neighbor Speculative Decoding For LLM Generation And Attribution (2024) • No Venue
  Li et al.
• Promptkd: Unsupervised Prompt Distillation For Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 56 citations
  Li et al.
• Retrollm: Empowering Large Language Models To Retrieve Fine-grained Evidence Within Generation (2024) • No Venue
  Li et al.
• Scaling (down) CLIP: A Comprehensive Analysis Of Data, Architecture, And Training Strategies (2024) • No Venue
  Zichao Li, Cihang Xie, Ekin Dogus Cubuk
• Scbench: A KV Cache-centric Analysis Of Long-context Methods (2024) • No Venue
  Li et al.
• TPI-LLM: Serving 70b-scale Llms Efficiently On Low-resource Edge Devices (2024) • No Venue
  Li et al.
• Svdqunat: Absorbing Outliers By Low-rank Components For 4-bit Diffusion Models (2024) • No Venue
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• Superfiltering: Weak-to-strong Data Filtering For Fast Instruction-tuning (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Li et al.
• T2v-turbo-v2: Enhancing Video Generation Model Post-training Through Data, Reward, And Conditional Guidance Design (2024) • No Venue
  Li et al.
• Tokenpacker: Efficient Visual Projector For Multimodal LLM (2024) • No Venue
  Li et al.
• Tele-flm Technical Report (2024) • No Venue
  Li et al.
• Transformer-lite: High-efficiency Deployment Of Large Language Models On Mobile Phone Gpus (2024) • No Venue
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• Voco-llama: Towards Vision Compression With Large Language Models (2024) • No Venue
  Ye et al.
• Flashspeech: Efficient Zero-shot Speech Synthesis (2024) • No Venue
  Ye et al.
• Chunkattention: Efficient Self-attention With Prefix-aware KV Cache And Two-phase Partition (2024) • No Venue
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• Showui: One Vision-language-action Model For GUI Visual Agent (2024) • No Venue
  Lin et al.
• Cautious Optimizers: Improving Training With One Line Of Code (2024) • No Venue
  Liang et al.
• Mixture-of-transformers: A Sparse And Scalable Architecture For Multi-modal Foundation Models (2024) • No Venue
  Liang et al.
• Memory-efficient LLM Training With Online Subspace Descent (2024) • No Venue
  Liang et al.
• Multi-layer Transformers Gradient Can Be Approximated In Almost Linear Time (2024) • No Venue
  Liang et al.
• Step-aware Preference Optimization: Aligning Preference With Denoising Performance At Each Step (2024) • No Venue
  Liang et al.
• Hybrid Heterogeneous Clusters Can Lower The Energy Consumption Of LLM Inference Workloads (2024) • e-Energy '24: The 15th ACM International Conference on Future and Sustainable Energy Systems • 11 citations
  Grant Wilkins, Srinivasan Keshav, Richard Mortier
• Objectmate: A Recurrence Prior For Object Insertion And Subject-driven Generation (2024) • No Venue
  Winter et al.
• Cut Your Losses In Large-vocabulary Language Models (2024) • No Venue
  Wijmans et al.
• Gemma Scope: Open Sparse Autoencoders Everywhere All At Once On Gemma 2 (2024) • No Venue
  Lieberum et al.
• Rs-moe: A Vision-language Model With Mixture Of Experts For Remote Sensing Image Captioning And Visual Question Answering (2024) • IEEE Transactions on Geoscience and Remote Sensing • 15 citations
  Lin et al.
• Rho-1: Not All Tokens Are What You Need (2024) • No Venue
  Lin et al.
• Bita: Bi-directional Tuning For Lossless Acceleration In Large Language Models (2024) • No Venue
  Lin et al.
• Data-efficient Fine-tuning For Llm-based Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 94 citations
  Lin et al.
• Infinite-llm: Efficient LLM Service For Long Context With Distattention And Distributed Kvcache (2024) • No Venue
  Lin et al.
• Mope-clip: Structured Pruning For Efficient Vision-language Models With Module-wise Pruning Error Metric (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Lin et al.
• Moe-llava: Mixture Of Experts For Large Vision-language Models (2024) • No Venue
  Lin et al.
• Moma: Efficient Early-fusion Pre-training With Mixture Of Modality-aware Experts (2024) • No Venue
  Lin et al.
• Progressive Pretext Task Learning For Human Trajectory Prediction (2024) • Lecture Notes in Computer Science • 15 citations
  Lin et al.
• Open-sora Plan: Open-source Large Video Generation Model (2024) • No Venue
  Lin et al.
• Distilled Decoding 1: One-step Sampling Of Image Auto-regressive Models With Flow Matching (2024) • No Venue
  Liu et al.
• Alleviating Distortion In Image Generation Via Multi-resolution Diffusion Models (2024) • No Venue
  Liu et al.
• Aligning Teacher With Student Preferences For Tailored Training Data Generation (2024) • No Venue
  Liu et al.
• Deliberation In Latent Space Via Differentiable Cache Augmentation (2024) • No Venue
  Liu et al.
• Alora: Allocating Low-rank Adaptation For Fine-tuning Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 16 citations
  Liu et al.
• Asynchronous Local-sgd Training For Language Modeling (2024) • No Venue
  Liu et al.
• DDK: Distilling Domain Knowledge For Efficient Large Language Models (2024) • No Venue
  Liu et al.
• Efficient Detection Of Toxic Prompts In Large Language Models (2024) • No Venue
  Liu et al.
• Infimm-hd: A Leap Forward In High-resolution Multimodal Understanding (2024) • No Venue
  Liu et al.
• Infini-gram: Scaling Unbounded N-gram Language Models To A Trillion Tokens (2024) • No Venue
  Liu et al.
• Kangaroo: Lossless Self-speculative Decoding Via Double Early Exiting (2024) • No Venue
  Liu et al.
• KAN: Kolmogorov-arnold Networks (2024) • No Venue
  Liu et al.
• Magicquill: An Intelligent Interactive Image Editing System (2024) • No Venue
  Liu et al.
• LLM-ESR: Large Language Models Enhancement For Long-tailed Sequential Recommendation (2024) • Advances in Neural Information Processing Systems 37 • 10 citations
  Liu et al.
• Linrec: Linear Attention Mechanism For Long-term Sequential Recommender Systems (2024) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 57 citations
  Liu et al.
• Longhorn: State Space Models Are Amortized Online Learners (2024) • No Venue
  Liu et al.
• Lstprompt: Large Language Models As Zero-shot Time Series Forecasters By Long-short-term Prompting (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 14 citations
  Liu et al.
• MOKA: Open-world Robotic Manipulation Through Mark-based Visual Prompting (2024) • Robotics: Science and Systems 2024 • 23 citations
  Liu et al.
• Regmix: Data Mixture As Regression For Language Model Pre-training (2024) • No Venue
  Liu et al.
• Oryx MLLM: On-demand Spatial-temporal Understanding At Arbitrary Resolution (2024) • No Venue
  Liu et al.
• NVILA: Efficient Frontier Visual Language Models (2024) • No Venue
  Liu et al.
• Ppllava: Varied Video Sequence Understanding With Prompt Guidance (2024) • No Venue
  Liu et al.
• Proofread: Fixes All Errors With One Tap (2024) • No Venue
  Liu et al.
• Think While You Generate: Discrete Diffusion With Planned Denoising (2024) • No Venue
  Liu et al.
• Sparse Laneformer (2024) • No Venue
  Liu et al.
• Retrievalattention: Accelerating Long-context LLM Inference Via Vector Retrieval (2024) • No Venue
  Liu et al.
• Surgical SAM 2: Real-time Segment Anything In Surgical Video By Efficient Frame Pruning (2024) • No Venue
  Liu et al.
• ST-LLM: Large Language Models Are Effective Temporal Learners (2024) • Lecture Notes in Computer Science • 26 citations
  Liu et al.
• Streamchat: Chatting With Streaming Video (2024) • No Venue
  Liu et al.
• Universal And Extensible Language-vision Models For Organ Segmentation And Tumor Detection From Abdominal Computed Tomography (2024) • Medical Image Analysis • 23 citations
  Liu et al.
• Towards Continual Knowledge Graph Embedding Via Incremental Distillation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 19 citations
  Liu et al.
• VPTQ: Extreme Low-bit Vector Post-training Quantization For Large Language Models (2024) • No Venue
  Liu et al.
• Videoagent: Long-form Video Understanding With Large Language Model As Agent (2024) • No Venue
  Wang et al.
• Palm2-vadapter: Progressively Aligned Language Model Makes A Strong Vision-language Adapter (2024) • No Venue
  Xiao et al.
• Tinyvla: Towards Fast, Data-efficient Vision-language-action Models For Robotic Manipulation (2024) • IEEE Robotics and Automation Letters • 29 citations
  Wen et al.
• Compositional Video Generation As Flow Equalization (2024) • No Venue
  Xingyi Yang, Xinchao Wang
• 1.58-bit FLUX (2024) • No Venue
  Yang et al.
• T-MAC: CPU Renaissance Via Table Lookup For Low-bit LLM Deployment On Edge (2024) • No Venue
  Wei et al.
• Visual Context Window Extension: A New Perspective For Long Video Understanding (2024) • No Venue
  Hongchen Wei, Zhenzhong Chen
• Buffer Of Thoughts: Thought-augmented Reasoning With Large Language Models (2024) • No Venue
  Yang et al.
• KICGPT: Large Language Model With Knowledge In Context For Knowledge Graph Completion (2024) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 38 citations
  Wei et al.
• Promptmm: Multi-modal Knowledge Distillation For Recommendation With Prompt-tuning (2024) • WWW '24: The ACM Web Conference 2024 • 20 citations
  Wei et al.
• Editable Scene Simulation For Autonomous Driving Via Collaborative Llm-agents (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 52 citations
  Wei et al.
• Long-form Factuality In Large Language Models (2024) • No Venue
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• Improve Mathematical Reasoning In Language Models By Automated Process Supervision (2024) • No Venue
  Luo et al.
• A Closer Look Into Mixture-of-experts In Large Language Models (2024) • No Venue
  Lo et al.
• Evaluating Large Language Models In Analysing Classroom Dialogue (2024) • npj Science of Learning • 24 citations
  Yun Long, Haifeng Luo, Yu Zhang
• Generative Multi-modal Knowledge Retrieval With Large Language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Long et al.
• A System For Automated Unit Test Generation Using Large Language Models And Assessment Of Generated Test Suites (2024) • 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) • 10 citations
  Lops et al.
• Sparser Is Faster And Less Is More: Efficient Sparse Attention For Long-range Transformers (2024) • No Venue
  Lou et al.
• Blending Is All You Need: Cheaper, Better Alternative To Trillion-parameters LLM (2024) • No Venue
  Lu et al.
• Bluelm-v-3b: Algorithm And System Co-design For Multimodal Large Language Models On Mobile Devices (2024) • No Venue
  Lu et al.
• Deepseek-vl: Towards Real-world Vision-language Understanding (2024) • No Venue
  Lu et al.
• Behavior-contextualized Item Preference Modeling For Multi-behavior Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 27 citations
  Yan et al.
• Factual Consistency Evaluation Of Summarization In The Era Of Large Language Models (2024) • Expert Systems with Applications • 18 citations
  Zheheng Luo, Qianqian Xie, Sophia Ananiadou
• Sparsing Law: Towards Large Language Models With Greater Activation Sparsity (2024) • No Venue
  Luo et al.
• Fastercache: Training-free Video Diffusion Model Acceleration With High Quality (2024) • No Venue
  Lv et al.
• Adapting While Learning: Grounding Llms For Scientific Problems With Intelligent Tool Usage Adaptation (2024) • No Venue
  Lyu et al.
• Cross-context Backdoor Attacks Against Graph Prompt Learning (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 10 citations
  Lyu et al.
• Sit: Exploring Flow And Diffusion-based Generative Models With Scalable Interpolant Transformers (2024) • No Venue
  Ma et al.
• Megalodon: Efficient LLM Pretraining And Inference With Unlimited Context Length (2024) • No Venue
  Ma et al.
• Mode: CLIP Data Experts Via Clustering (2024) • No Venue
  Ma et al.
• The Era Of 1-bit Llms: All Large Language Models Are In 1.58 Bits (2024) • No Venue
  Ma et al.
• LLM Agent Operating System (2024) • No Venue
  Mei et al.
• Videotree: Adaptive Tree-based Video Representation For LLM Reasoning On Long Videos (2024) • 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Wang et al.
• The Open Source Advantage In Large Language Models (llms) (2024) • No Venue
  Manchanda et al.
• Semantic Routing For Enhanced Performance Of Llm-assisted Intent-based 5G Core Network Management And Orchestration (2024) • GLOBECOM 2024 - 2024 IEEE Global Communications Conference • 11 citations
  Dimitrios Michael Manias, Ali Chouman, Abdallah Shami
• A Survey On Lora Of Large Language Models (2024) • Frontiers of Computer Science • 57 citations
  Mao et al.
• Dora: Enhancing Parameter-efficient Fine-tuning With Dynamic Rank Distribution (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Mao et al.
• Bigger Is Not Always Better: Scaling Properties Of Latent Diffusion Models (2024) • No Venue
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• Diffusekrona: A Parameter Efficient Fine-tuning Method For Personalized Diffusion Model (2024) • No Venue
  Marjit et al.
• A Web-based Solution For Federated Learning With Llm-based Automation (2024) • No Venue
  Chamith Mawela, Chaouki Ben Issaid, Mehdi Bennis
• Towards Self-improvement Of Llms Via MCTS: Leveraging Stepwise Knowledge With Curriculum Preference Learning (2024) • No Venue
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• IM-3D: Iterative Multiview Diffusion And Reconstruction For High-quality 3D Generation (2024) • No Venue
  Melas-Kyriazi et al.
• Enhancing Educational Efficiency: Generative AI Chatbots And Devops In Education 4.0 (2024) • Computer Applications in Engineering Education • 10 citations
  Mekić et al.
• Shortgpt: Layers In Large Language Models Are More Redundant Than You Expect (2024) • No Venue
  Men et al.
• Snap Video: Scaled Spatiotemporal Transformers For Text-to-video Synthesis (2024) • No Venue
  Menapace et al.
• Ranked List Truncation For Large Language Model-based Re-ranking (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 14 citations
  Meng et al.
• Autoregressive Speech Synthesis Without Vector Quantization (2024) • No Venue
  Meng et al.
• Pissa: Principal Singular Values And Singular Vectors Adaptation Of Large Language Models (2024) • Advances in Neural Information Processing Systems 37 • 15 citations
  Fanxu Meng, Zhaohui Wang, Muhan Zhang
• A Survey Of Small Language Models (2024) • No Venue
  Nguyen et al.
• Hexagen3d: Stablediffusion Is Just One Step Away From Fast And Diverse Text-to-3d Generation (2024) • No Venue
  Mercier et al.
• Scalable Cross-entropy Loss For Sequential Recommendations With Large Item Catalogs (2024) • RecSys '24: 18th ACM Conference on Recommender Systems • 10 citations
  Mezentsev et al.
• PLA4D: Pixel-level Alignments For Text-to-4d Gaussian Splatting (2024) • No Venue
  Qiaowei Miao, Yawei Luo, Yi Yang
• Videollamb: Long-context Video Understanding With Recurrent Memory Bridges (2024) • No Venue
  Wang et al.
• Kam-cot: Knowledge Augmented Multimodal Chain-of-thoughts Reasoning (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 19 citations
  Mondal et al.
• Contextual Document Embeddings (2024) • No Venue
  John X. Morris, Alexander M. Rush
• Yolov9: Learning What You Want To Learn Using Programmable Gradient Information (2024) • No Venue
  Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
• ROS-LLM: A ROS Framework For Embodied AI With Task Feedback And Structured Reasoning (2024) • No Venue
  Mower et al.
• Compact Language Models Via Pruning And Knowledge Distillation (2024) • No Venue
  Muralidharan et al.
• Are Llms Better Than Reported? Detecting Label Errors And Mitigating Their Effect On Model Performance (2024) • No Venue
  Nahum et al.
• When Precision Meets Position: Bfloat16 Breaks Down Rope In Long-context Training (2024) • No Venue
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• Tutor Copilot: A Human-ai Approach For Scaling Real-time Expertise (2024) • No Venue
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• Utilizing BERT For Information Retrieval: Survey, Applications, Resources, And Challenges (2024) • ACM Computing Surveys • 76 citations
  Wang et al.
• Hibou: A Family Of Foundational Vision Transformers For Pathology (2024) • No Venue
  Dmitry Nechaev, Alexey Pchelnikov, Ekaterina Ivanova
• Serial Contrastive Knowledge Distillation For Continual Few-shot Relation Extraction (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 10 citations
  Xinyi Wang, Zitao Wang, Wei Hu
• Ufogen: You Forward Once Large Scale Text-to-image Generation Via Diffusion Gans (2023) • No Venue
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• Recent Advances In Direct Speech-to-text Translation (2023) • Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence • 21 citations
  Xu et al.
• HOICLIP: Efficient Knowledge Transfer For HOI Detection With Vision-language Models (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 63 citations
  Ning et al.
• Skeleton-of-thought: Large Language Models Can Do Parallel Decoding (2023) • No Venue
  Ning et al.
• SCOTT: Self-consistent Chain-of-thought Distillation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Wang et al.
• Qa-lora: Quantization-aware Low-rank Adaptation Of Large Language Models (2023) • No Venue
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• Pangu-π: Enhancing Language Model Architectures Via Nonlinearity Compensation (2023) • No Venue
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• DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model (2023) • No Venue
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• Let's Synthesize Step By Step: Iterative Dataset Synthesis With Large Language Models By Extrapolating Errors From Small Models (2023) • No Venue
  Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan
• Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 69 citations
  Xu et al.
• LION: Implicit Vision Prompt Tuning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Wang et al.
• Towards A Unified Agent With Foundation Models (2023) • No Venue
  Palo et al.
• Multilora: Democratizing Lora For Better Multi-task Learning (2023) • No Venue
  Wang et al.
• SAM-CLIP: Merging Vision Foundation Models Towards Semantic And Spatial Understanding (2023) • No Venue
  Wang et al.
• Llm-driven Multimodal Target Volume Contouring In Radiation Oncology (2023) • Nature Communications • 39 citations
  Oh et al.
• Metaphor Detection With Effective Context Denoising (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 14 citations
  Wang et al.
• When Prompt-based Incremental Learning Does Not Meet Strong Pretraining (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 27 citations
  Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng
• Leveraging Vision-language Models For Improving Domain Generalization In Image Classification (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Addepalli et al.
• On-policy Distillation Of Language Models: Learning From Self-generated Mistakes (2023) • No Venue
  Agarwal et al.
• Point-peft: Parameter-efficient Fine-tuning For 3D Pre-trained Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 12 citations
  Tang et al.
• Enhancing Performance Of Vision Transformers On Small Datasets Through Local Inductive Bias Incorporation (2023) • Pattern Recognition • 22 citations
  Akkaya et al.
• Rest Meets React: Self-improvement For Multi-step Reasoning LLM Agent (2023) • No Venue
  Aksitov et al.
• Source-free Domain Adaptation With Frozen Multimodal Foundation Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 24 citations
  Tang et al.
• LLM In A Flash: Efficient Large Language Model Inference With Limited Memory (2023) • No Venue
  Alizadeh et al.
• Domain Knowledge Distillation From Large Language Model: An Empirical Study In The Autonomous Driving Domain (2023) • 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) • 17 citations
  Tang et al.
• Atom: Low-bit Quantization For Efficient And Accurate LLM Serving (2023) • No Venue
  Zhao et al.
• Fluctuation-based Adaptive Structured Pruning For Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  An et al.
• NAYER: Noisy Layer Data Generation For Efficient And Effective Data-free Knowledge Distillation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Tran et al.
• Efficient LLM Inference Solution On Intel GPU (2023) • No Venue
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• Domain-agnostic Tuning-encoder For Fast Personalization Of Text-to-image Models (2023) • No Venue
  Arar et al.
• 3d-vista: Pre-trained Transformer For 3D Vision And Text Alignment (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 86 citations
  Zhu et al.
• Fusionframes: Efficient Architectural Aspects For Text-to-video Generation Pipeline (2023) • No Venue
  Arkhipkin et al.
• Not All Features Matter: Enhancing Few-shot CLIP With Adaptive Prior Refinement (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 44 citations
  Zhu et al.
• Improving Continual Relation Extraction By Distinguishing Analogous Semantics (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Wenzheng Zhao, Yuanning Cui, Wei Hu
• GIMLET: A Unified Graph-text Model For Instruction-based Molecule Zero-shot Learning (2023) • Arxiv • 23 citations
  Zhao et al.
• Instant-nerf: Instant On-device Neural Radiance Field Training Via Algorithm-accelerator Co-designed Near-memory Processing (2023) • 2023 60th ACM/IEEE Design Automation Conference (DAC) • 15 citations
  Zhao et al.
• Pytorch FSDP: Experiences On Scaling Fully Sharded Data Parallel (2023) • Proceedings of the VLDB Endowment • 129 citations
  Zhao et al.
• Hyperfields: Towards Zero-shot Generation Of Nerfs From Text (2023) • No Venue
  Babu et al.
• Scaling Mlps: A Tale Of Inductive Bias (2023) • No Venue
  Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
• Sparsity-guided Holistic Explanation For Llms With Interpretable Inference-time Intervention (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 12 citations
  Tan et al.
• User Retention-oriented Recommendation With Decision Transformer (2023) • WWW '23: The ACM Web Conference 2023 • 23 citations
  Zhao et al.
• 4d-fy: Text-to-4d Generation Using Hybrid Score Distillation Sampling (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 47 citations
  Bahmani et al.
• Swiftbrush: One-step Text-to-image Diffusion Model With Variational Score Distillation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Thuan Hoang Nguyen, Anh Tran
• Large Language Models In Healthcare And Medical Domain: A Review (2023) • Informatics • 239 citations
  Zabir Al Nazi, Wei Peng
• Large Language Models As Tax Attorneys: A Case Study In Legal Capabilities Emergence (2023) • No Venue
  Nay et al.
• Codescope: An Execution-based Multilingual Multitask Multidimensional Benchmark For Evaluating Llms On Code Understanding And Generation (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Yan et al.
• R2gengpt: Radiology Report Generation With Frozen Llms (2023) • Meta-Radiology • 113 citations
  Wang et al.
• SILC: Improving Vision Language Pretraining With Self-distillation (2023) • Lecture Notes in Computer Science • 16 citations
  Naeem et al.
• Enable Language Models To Implicitly Learn Self-improvement From Data (2023) • No Venue
  Wang et al.
• Language-oriented Communication With Semantic Coding And Knowledge Distillation For Text-to-image Generation (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 25 citations
  Nam et al.
• A Comprehensive Overview Of Large Language Models (2023) • ACM Transactions on Intelligent Systems and Technology • 260 citations
  Naveed et al.
• Comparing Software Developers With Chatgpt: An Empirical Investigation (2023) • Arxiv • 32 citations
  Nathalia Nascimento, Paulo Alencar, Donald Cowan
• From English To More Languages: Parameter-efficient Model Reprogramming For Cross-lingual Speech Recognition (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 15 citations
  Yang et al.
• ALIP: Adaptive Language-image Pre-training With Synthetic Caption (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 36 citations
  Yang et al.
• Cloud-device Collaborative Learning For Multimodal Large Language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Wang et al.
• Towards Efficient Generative Large Language Model Serving: A Survey From Algorithms To Systems (2023) • ACM Computing Surveys • 10 citations
  Miao et al.
• Scaling Open-vocabulary Object Detection (2023) • No Venue
  Matthias Minderer, Alexey Gritsenko, Neil Houlsby
• Yarn: Efficient Context Window Extension Of Large Language Models (2023) • No Venue
  Peng et al.
• Reproducing Whisper-style Training Using An Open-source Toolkit And Publicly Available Data (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 21 citations
  Peng et al.
• RWKV: Reinventing Rnns For The Transformer Era (2023) • No Venue
  Peng et al.
• Efficient Quantization Strategies For Latent Diffusion Models (2023) • No Venue
  Yang et al.
• Idea2img: Iterative Self-refinement With Gpt-4v(ision) For Automatic Image Design And Generation (2023) • No Venue
  Yang et al.
• Harnessing The Power Of Llms In Practice: A Survey On Chatgpt And Beyond (2023) • ACM Transactions on Knowledge Discovery from Data • 350 citations
  Yang et al.
• The Refinedweb Dataset For Falcon LLM: Outperforming Curated Corpora With Web Data, And Web Data Only (2023) • No Venue
  Penedo et al.
• Anymal: An Efficient And Scalable Any-modality Augmented Language Model (2023) • No Venue
  Moon et al.
• Plug In The Safety Chip: Enforcing Constraints For Llm-driven Robot Agents (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 25 citations
  Yang et al.
• From Sparse To Soft Mixtures Of Experts (2023) • No Venue
  Puigcerver et al.
• Automatic Prompt Optimization With "gradient Descent" And Beam Search (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 116 citations
  Pryzant et al.
• Vary: Scaling Up The Vision Vocabulary For Large Vision-language Models (2023) • No Venue
  Wei et al.
• Boosting GUI Prototyping With Diffusion Models (2023) • 2023 IEEE 31st International Requirements Engineering Conference (RE) • 13 citations
  Wei et al.
• Outlier Suppression+: Accurate Quantization Of Large Language Models By Equivalent And Optimal Shifting And Scaling (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 31 citations
  Wei et al.
• Llmrec: Large Language Models With Graph Augmentation For Recommendation (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 154 citations
  Wei et al.
• Can Chatgpt Forecast Stock Price Movements? Return Predictability And Large Language Models (2023) • SSRN Electronic Journal • 157 citations
  Alejandro Lopez-Lira, Yuehua Tang
• Text Rendering Strategies For Pixel Language Models (2023) • No Venue
  Lotz et al.
• Bitnet: Scaling 1-bit Transformers For Large Language Models (2023) • No Venue
  Wang et al.
• Prompt Guided Transformer For Multi-task Dense Prediction (2023) • IEEE Transactions on Multimedia • 24 citations
  Lu et al.
• Routing To The Expert: Efficient Reward-guided Ensemble Of Large Language Models (2023) • No Venue
  Lu et al.
• Human-ai Collaboration In Thematic Analysis Using Chatgpt: A User Study And Design Recommendations (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 50 citations
  Yan et al.
• Compositional 3D Scene Generation Using Locally Conditioned Diffusion (2023) • 2024 International Conference on 3D Vision (3DV) • 38 citations
  Ryan Po, Gordon Wetzstein
• Mirasol3b: A Multimodal Autoregressive Model For Time-aligned And Contextual Modalities (2023) • No Venue
  Piergiovanni et al.
• Orthogonal Adaptation For Modular Customization Of Diffusion Models (2023) • No Venue
  Po et al.
• Lcm-lora: A Universal Stable-diffusion Acceleration Module (2023) • No Venue
  Luo et al.
• GPT-4V In Wonderland: Large Multimodal Models For Zero-shot Smartphone GUI Navigation (2023) • No Venue
  Yan et al.
• Codetransocean: A Comprehensive Multilingual Benchmark For Code Translation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Yan et al.
• Towards Practical Capture Of High-fidelity Relightable Avatars (2023) • No Venue
  Yang et al.
• TCM-GPT: Efficient Pre-training Of Large Language Models For Domain Adaptation In Traditional Chinese Medicine (2023) • Computer Methods and Programs in Biomedicine Update • 39 citations
  Yang et al.
• Gpt4motion: Scripting Physical Motions In Text-to-video Generation Via Blender-oriented GPT Planning (2023) • No Venue
  Lv et al.
• One Wide Feedforward Is All You Need (2023) • No Venue
  Pires et al.
• One-dimensional Adapter To Rule Them All: Concepts, Diffusion Models And Erasing Applications (2023) • No Venue
  Lyu et al.
• Deepcache: Accelerating Diffusion Models For Free (2023) • No Venue
  Xinyin Ma, Gongfan Fang, Xinchao Wang
• A Transformer-based Model With Self-distillation For Multimodal Emotion Recognition In Conversations (2023) • IEEE Transactions on Multimedia • 89 citations
  Ma et al.
• Image Captioning With Multi-context Synthetic Data (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 14 citations
  Ma et al.
• Maskint: Video Editing Via Interpolative Non-autoregressive Masked Transformers (2023) • No Venue
  Ma et al.
• Sci-cot: Leveraging Large Language Models For Enhanced Knowledge Distillation In Small Models For Scientific QA (2023) • 2023 9th International Conference on Computer and Communications (ICCC) • 11 citations
  Yuhan Ma, Haiqi Jiang, Chenyou Fan
• Perceptiongpt: Effectively Fusing Visual Perception Into LLM (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Pi et al.
• Paloma: A Benchmark For Evaluating Language Model Fit (2023) • No Venue
  Magnusson et al.
• Large Language Models For Telecom: Forthcoming Impact On The Industry (2023) • IEEE Communications Magazine • 52 citations
  Maatouk et al.
• Automix: Automatically Mixing Language Models (2023) • No Venue
  Madaan et al.
• Recjpq: Training Large-catalogue Sequential Recommenders (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 10 citations
  Aleksandr V. Petrov, Craig MacDonald
• Sieve: Multimodal Dataset Pruning Using Image Captioning Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Mahmoud et al.
• LMDX: Language Model-based Document Information Extraction And Localization (2023) • No Venue
  Perot et al.
• LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings With Knowledge Distillation (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 10 citations
  Zhuoyuan Mao, Tetsuji Nakagawa
• Autostory: Generating Diverse Storytelling Images With Minimal Human Effort (2023) • No Venue
  Wang et al.
• When Less Is More: Investigating Data Pruning For Pretraining Llms At Scale (2023) • No Venue
  Marion et al.
• Wuerstchen: Efficient Pretraining Of Text-to-image Models (2023) • No Venue
  Pablo Pernias, Dominic Rampas, Marc Aubreville
• The Hydra Effect: Emergent Self-repair In Language Model Computations (2023) • No Venue
  McGrath et al.
• Codi: Conditional Diffusion Distillation For Higher-fidelity And Faster Image Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Mei et al.
• Propainter: Improving Propagation And Transformer For Video Inpainting (2023) • No Venue
  Zhou et al.
• Towards Fast And Accurate Image-text Retrieval With Self-supervised Fine-grained Alignment (2023) • IEEE Transactions on Multimedia • 17 citations
  Zhuang et al.
• Chatgpt Needs SPADE (sustainability, Privacy, Digital Divide, And Ethics) Evaluation: A Review (2023) • Cognitive Computation 2024 • 11 citations
  Khowaja et al.
• BK-SDM: A Lightweight, Fast, And Cheap Version Of Stable Diffusion (2023) • Lecture Notes in Computer Science • 18 citations
  Kim et al.
• Deepspeed-visualchat: Multi-round Multi-image Interleave Chat Via Multi-modal Causal Attention (2023) • No Venue
  Yao et al.
• Tied-lora: Enhacing Parameter Efficiency Of Lora With Weight Tying (2023) • No Venue
  Adithya Renduchintala, Tugrul Konuk, Oleksii Kuchaiev
• VITS2: Improving Quality And Efficiency Of Single-stage Text-to-speech With Adversarial Learning And Architecture Design (2023) • INTERSPEECH 2023 • 41 citations
  Kong et al.
• Large Language Models Are Better Adversaries: Exploring Generative Clean-label Backdoor Attacks Against Text Classifiers (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Wencong You, Zayd Hammoudeh, Daniel Lowd
• Sg-former: Self-guided Transformer With Evolving Token Reallocation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 50 citations
  Ren et al.
• Robots That Ask For Help: Uncertainty Alignment For Large Language Model Planners (2023) • No Venue
  Ren et al.
• Low-rank Adaptation Of Large Language Model Rescoring For Parameter-efficient Speech Recognition (2023) • No Venue
  Yu et al.
• TESTA: Temporal-spatial Token Aggregation For Long-form Video-language Understanding (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Ren et al.
• High-fidelity Audio Compression With Improved RVQGAN (2023) • No Venue
  Kumar et al.
• Parameter-efficient Modularised Bias Mitigation Via Adapterfusion (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 10 citations
  Kumar et al.
• Representation Learning With Large Language Models For Recommendation (2023) • WWW '24: The ACM Web Conference 2024 • 129 citations
  Ren et al.
• Make-a-character: High Quality Text-to-3d Character Generation Within Minutes (2023) • No Venue
  Ren et al.
• Efficient Memory Management For Large Language Model Serving With Pagedattention (2023) • No Venue
  Kwon et al.
• Veclip: Improving CLIP Training Via Visual-enriched Captions (2023) • Lecture Notes in Computer Science • 11 citations
  Lai et al.
• Relax: Composable Abstractions For End-to-end Dynamic Machine Learning (2023) • No Venue
  Lai et al.
• Llmlight: Large Language Models As Traffic Signal Control Agents (2023) • KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 16 citations
  Lai et al.
• Copy Is All You Need (2023) • No Venue
  Lan et al.
• Harnessing Chatgpt For Thematic Analysis: Are We Ready? (2023) • Journal of Medical Internet Research • 69 citations
  Lee et al.
• Holistic Evaluation Of Text-to-image Models (2023) • No Venue
  Lee et al.
• OWQ: Outlier-aware Weight Quantization For Efficient Fine-tuning And Inference Of Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 29 citations
  Lee et al.
• Read-only Prompt Optimization For Vision-language Few-shot Learning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 42 citations
  Lee et al.
• Heterogeneous Knowledge Fusion: A Novel Approach For Personalized Recommendation Via LLM (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 32 citations
  Yin et al.
• Contrastive Graph Prompt-tuning For Cross-domain Recommendation (2023) • ACM Transactions on Information Systems • 16 citations
  Zixuan Yi, Iadh Ounis, Craig MacDonald
• Can LLM Already Serve As A Database Interface? A Big Bench For Large-scale Database Grounded Text-to-sqls (2023) • No Venue
  Li et al.
• Auto Mc-reward: Automated Dense Reward Design With Large Language Models For Minecraft (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Li et al.
• Bi-vit: Pushing The Limit Of Vision Transformer Quantization (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Li et al.
• Compressing Context To Enhance Inference Efficiency Of Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 35 citations
  Li et al.
• Distilling Large Vision-language Model With Out-of-distribution Generalizability (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 22 citations
  Li et al.
• Efficient Multimodal Fusion Via Interactive Prompting (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 47 citations
  Li et al.
• Faster Diffusion: Rethinking The Role Of Unet Encoder In Diffusion Models (2023) • No Venue
  Li et al.
• FLM-101B: An Open LLM And How To Train It With $100K Budget (2023) • No Venue
  Li et al.
• From Quantity To Quality: Boosting LLM Performance With Self-guided Data Selection For Instruction Tuning (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 19 citations
  Li et al.
• Instant3d: Fast Text-to-3d With Sparse-view Generation And Large Reconstruction Model (2023) • No Venue
  Li et al.
• JEN-1: Text-guided Universal Music Generation With Omnidirectional Diffusion Models (2023) • No Venue
  Li et al.
• Loftq: Lora-fine-tuning-aware Quantization For Large Language Models (2023) • No Venue
  Li et al.
• Photomaker: Customizing Realistic Human Photos Via Stacked ID Embedding (2023) • No Venue
  Li et al.
• Self-alignment With Instruction Backtranslation (2023) • No Venue
  Li et al.
• Zeroquant-v2: Exploring Post-training Quantization In Llms From Comprehensive Study To Low Rank Compensation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  Yao et al.
• Svitt: Temporal Learning Of Sparse Video-text Transformers (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Li et al.
• Snapfusion: Text-to-image Diffusion Model On Mobile Devices Within Two Seconds (2023) • No Venue
  Li et al.
• Symbolic Chain-of-thought Distillation: Small Models Can Also "think" Step-by-step (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Li et al.
• Quantized Transformer Language Model Implementations On Edge Devices (2023) • 2023 International Conference on Machine Learning and Applications (ICMLA) • 16 citations
  Rahman et al.
• Robot Learning With Sensorimotor Pre-training (2023) • No Venue
  Radosavovic et al.
• FLAP: Fast Language-audio Pre-training (2023) • No Venue
  Yeh et al.
• Altdiffusion: A Multilingual Text-to-image Diffusion Model (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 18 citations
  Ye et al.
• Graph Masked Autoencoder For Sequential Recommendation (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 47 citations
  Yaowen Ye, Lianghao Xia, Chao Huang
• Cross-modality Data Augmentation For End-to-end Sign Language Translation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Ye et al.
• A Setwise Approach For Effective And Highly Efficient Zero-shot Ranking With Large Language Models (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 28 citations
  Zhuang et al.
• Mosaic-sdf For 3D Generative Models (2023) • No Venue
  Yariv et al.
• Position: AI Evaluation Should Learn From How We Test Humans (2023) • Arxiv • 14 citations
  Zhuang et al.
• Stack More Layers Differently: High-rank Training Through Low-rank Updates (2023) • No Venue
  Lialin et al.
• Dreameditor: Text-driven 3D Scene Editing With Neural Fields (2023) • SA '23: SIGGRAPH Asia 2023 • 90 citations
  Zhuang et al.
• Exploring Large Language Models For Human Mobility Prediction Under Public Events (2023) • Computers, Environment and Urban Systems • 58 citations
  Liang et al.
• Flowvid: Taming Imperfect Optical Flows For Consistent Video-to-video Synthesis (2023) • No Venue
  Liang et al.
• GPT-4 Enhanced Multimodal Grounding For Autonomous Driving: Leveraging Cross-modal Attention With Large Language Models (2023) • Communications in Transportation Research • 63 citations
  Liao et al.
• Federated Fine-tuning Of Llms On The Very Edge: The Good, The Bad, The Ugly (2023) • SIGMOD/PODS '24: International Conference on Management of Data • 11 citations
  Woisetschläger et al.
• Parameter-efficient Fine-tuning Without Introducing New Latency (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 23 citations
  Baohao Liao, Yan Meng, Christof Monz
• Cache Me If You Can: Accelerating Diffusion Models Through Block Caching (2023) • No Venue
  Wimbauer et al.
• Pushing Large Language Models To The 6G Edge: Vision, Challenges, And Opportunities (2023) • IEEE Communications Magazine • 15 citations
  Lin et al.
• AWQ: Activation-aware Weight Quantization For LLM Compression And Acceleration (2023) • GetMobile: Mobile Computing and Communications • 81 citations
  Lin et al.
• Clickprompt: CTR Models Are Strong Prompt Generators For Adapting Language Models To CTR Prediction (2023) • WWW '24: The ACM Web Conference 2024 • 23 citations
  Lin et al.
• Llm-eval: Unified Multi-dimensional Automatic Evaluation For Open-domain Conversations With Large Language Models (2023) • Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023) • 50 citations
  Yen-Ting Lin, Yun-Nung Chen
• Layoutprompter: Awaken The Design Ability Of Large Language Models (2023) • No Venue
  Lin et al.
• How To Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 28 citations
  Lin et al.
• Techniques For Supercharging Academic Writing With Generative AI (2023) • Nature Biomedical Engineering • 31 citations
  Zhicheng Lin
• Freenoise: Tuning-free Longer Video Diffusion Via Noise Rescheduling (2023) • No Venue
  Qiu et al.
• Langsplat: 3D Language Gaussian Splatting (2023) • No Venue
  Qin et al.
• Exploring Parameter-efficient Fine-tuning Techniques For Code Generation With Large Language Models (2023) • ACM Transactions on Software Engineering and Methodology • 25 citations
  Weyssow et al.
• Controlllm: Augment Language Models With Tools By Searching On Graphs (2023) • No Venue
  Liu et al.
• A Social-aware Gaussian Pre-trained Model For Effective Cold-start Recommendation (2023) • Information Processing & Management • 13 citations
  Liu et al.
• Clip-based Synergistic Knowledge Transfer For Text-based Person Retrieval (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 13 citations
  Liu et al.
• Deja Vu: Contextual Sparsity For Efficient Llms At Inference Time (2023) • No Venue
  Liu et al.
• Efficient Token-guided Image-text Retrieval With Consistent Multimodal Contrastive Training (2023) • IEEE Transactions on Image Processing • 39 citations
  Liu et al.
• LLM-FP4: 4-bit Floating-point Quantized Transformers (2023) • No Venue
  Liu et al.
• Interngpt: Solving Vision-centric Tasks By Interacting With Chatgpt Beyond Language (2023) • Arxiv • 13 citations
  Liu et al.
• Instaflow: One Step Is Enough For High-quality Diffusion-based Text-to-image Generation (2023) • No Venue
  Liu et al.
• Parameter-efficient Orthogonal Finetuning Via Butterfly Factorization (2023) • No Venue
  Liu et al.
• Pre-train, Prompt And Recommendation: A Comprehensive Survey Of Language Modelling Paradigm Adaptations In Recommender Systems (2023) • Transactions of the Association for Computational Linguistics • 69 citations
  Peng Liu, Lemei Zhang, Jon Atle Gulla
• Semantic-guided Feature Distillation For Multimodal Recommendation (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 20 citations
  Liu et al.
• Webglm: Towards An Efficient Web-enhanced Question Answering System With Human Preferences (2023) • No Venue
  Liu et al.
• VST++: Efficient And Stronger Visual Saliency Transformer (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 36 citations
  Liu et al.
• Large Language Models Are Effective Text Rankers With Pairwise Ranking Prompting (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 97 citations
  Qin et al.
• Scaling Transnormer To 175 Billion Parameters (2023) • No Venue
  Qin et al.
• Tool Learning With Foundation Models (2023) • ACM Computing Surveys • 51 citations
  Qin et al.
• Optimized Network Architectures For Large Language Model Training With Billions Of Parameters (2023) • No Venue
  Wang et al.
• Adaptive Shells For Efficient Neural Radiance Field Rendering (2023) • No Venue
  Wang et al.
• Aviationgpt: A Large Language Model For The Aviation Domain (2023) • AIAA AVIATION FORUM AND ASCEND 2024 • 22 citations
  Wang et al.
• Zero Bubble Pipeline Parallelism (2023) • No Venue
  Qi et al.
• Adapt: As-needed Decomposition And Planning With Language Models (2023) • No Venue
  Prasad et al.
• Universalner: Targeted Distillation From Large Language Models For Open Named Entity Recognition (2023) • No Venue
  Zhou et al.
• Protecting Language Generation Models Via Invisible Watermarking (2023) • Arxiv • 15 citations
  Xuandong Zhao, Yu-Xiang Wang, Lei Li
• Faithfulness-aware Decoding Strategies For Abstractive Summarization (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 14 citations
  Wan et al.
• Automated Reading Passage Generation With Openai's Large Language Model (2023) • Computers and Education: Artificial Intelligence • 33 citations
  Ummugul Bezirhan, Matthias von Davier
• Acceltran: A Sparsity-aware Accelerator For Dynamic Inference With Transformers (2023) • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems • 34 citations
  Shikhar Tuli, Niraj K. Jha
• GPT As Knowledge Worker: A Zero-shot Evaluation Of (AI)CPA Capabilities (2023) • SSRN Electronic Journal • 58 citations
  Bommarito et al.
• Quantizable Transformers: Removing Outliers By Helping Attention Heads Do Nothing (2023) • No Venue
  Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
• Soundstorm: Efficient Parallel Audio Generation (2023) • No Venue
  Borsos et al.
• Rethinking Attention: Exploring Shallow Feed-forward Neural Networks As An Alternative To Attention Layers In Transformers (2023) • No Venue
  Bozic et al.
• Vision Language Models In Autonomous Driving: A Survey And Outlook (2023) • IEEE Transactions on Intelligent Vehicles • 55 citations
  Zhou et al.
• Retentive Network: A Successor To Transformer For Large Language Models (2023) • No Venue
  Sun et al.
• Is Chatgpt Good At Search? Investigating Large Language Models As Re-ranking Agents (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 151 citations
  Sun et al.
• Create Your World: Lifelong Text-to-image Diffusion (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 26 citations
  Sun et al.
• An Empirical Study Of CLIP For Text-based Person Search (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 62 citations
  Cao et al.
• Pumer: Pruning And Merging Tokens For Efficient Vision Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
  Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
• DIME-FM: Distilling Multimodal And Efficient Foundation Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 16 citations
  Sun et al.
• Determlr: Augmenting Llm-based Logical Reasoning From Indeterminacy To Determinacy (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Sun et al.
• Any-size-diffusion: Toward Efficient Text-driven Synthesis For Any-size HD Images (2023) • No Venue
  Zheng et al.
• 3D-GPT: Procedural 3D Modeling With Large Language Models (2023) • No Venue
  Sun et al.
• Honeybee: Locality-enhanced Projector For Multimodal LLM (2023) • No Venue
  Cha et al.
• Dialogue Chain-of-thought Distillation For Commonsense-aware Conversational Agents (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Chae et al.
• The AI Generation Gap: Are Gen Z Students More Interested In Adopting Generative AI Such As Chatgpt In Teaching And Learning Than Their Gen X And Millennial Generation Teachers? (2023) • Smart Learning Environments • 416 citations
  Cecilia Ka Yuk Chan, Katherine K. W. Lee
• Pepnet: Parameter And Embedding Personalized Network For Infusing With Personalized Prior Information (2023) • Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 82 citations
  Chang et al.
• Chipgpt: How Far Are We From Natural Language Hardware Design (2023) • Arxiv • 27 citations
  Chang et al.
• Speechprompt V2: Prompt Tuning For Speech Classification Tasks (2023) • Arxiv • 16 citations
  Chang et al.
• Rethinking Compression: Reduced Order Modelling Of Latent Features In Large Language Models (2023) • No Venue
  Arnav Chavan, Nahush Lele, Deepak Gupta
• Federated Learning Of Large Language Models With Parameter-efficient Prompt Tuning And Adaptive Optimization (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 30 citations
  Che et al.
• Schrodinger Bridges Beat Diffusion Models On Text-to-speech Synthesis (2023) • No Venue
  Chen et al.
• Llava-interactive: An All-in-one Demo For Image Chat, Segmentation, Generation And Editing (2023) • No Venue
  Chen et al.
• AMSP: Super-scaling LLM Training Via Advanced Model States Partitioning (2023) • No Venue
  Chen et al.
• Cascade Speculative Drafting For Even Faster LLM Inference (2023) • No Venue
  Chen et al.
• CLEX: Continuous Length Extrapolation For Large Language Models (2023) • No Venue
  Chen et al.
• Dipping Plms Sauce: Bridging Structure And Text For Effective Knowledge Graph Completion Via Conditional Soft Prompting (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 30 citations
  Chen et al.
• Lorashear: Efficient Large Language Model Structured Pruning And Knowledge Recovery (2023) • No Venue
  Chen et al.
• Minigpt-v2: Large Language Model As A Unified Interface For Vision-language Multi-task Learning (2023) • No Venue
  Chen et al.
• Token Prediction As Implicit Classification To Identify Llm-generated Text (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Chen et al.
• Understanding The Potential Of Fpga-based Spatial Acceleration For Large Language Model Inference (2023) • ACM Transactions on Reconfigurable Technology and Systems • 50 citations
  Chen et al.
• Distilled GPT For Source Code Summarization (2023) • Automated Software Engineering • 30 citations
  Chia-Yi Su, Collin McMillan
• Tlcontrol: Trajectory And Language Control For Human Motion Synthesis (2023) • Lecture Notes in Computer Science • 17 citations
  Wan et al.
• Adapting Large Language Models By Integrating Collaborative Semantics For Recommendation (2023) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 66 citations
  Zheng et al.
• Accelerating LLM Inference With Staged Speculative Decoding (2023) • No Venue
  Benjamin Spector, Chris Re
• Mobileclip: Fast Image-text Models Through Multi-modal Reinforced Training (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 27 citations
  Vasu et al.
• Large-scale Automatic Audiobook Creation (2023) • No Venue
  Walsh et al.
• Multi-grained Knowledge Retrieval For End-to-end Task-oriented Dialog (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Wan et al.
• Beyond Generic: Enhancing Image Captioning With Real-world Knowledge Using Vision-language Pre-training Model (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 12 citations
  Cheng et al.
• Powerinfer: Fast Large Language Model Serving With A Consumer-grade GPU (2023) • No Venue
  Song et al.
• Optimize Weight Rounding Via Signed Gradient Descent For The Quantization Of Llms (2023) • No Venue
  Cheng et al.
• TEQ: Trainable Equivalent Transformation For Quantization Of Llms (2023) • No Venue
  Cheng et al.
• Zebra: Extending Context Window With Layerwise Grouped Local-global Attention (2023) • No Venue
  Song et al.
• You Only Look At Screens: Multimodal Chain-of-action Agents (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 16 citations
  Zhuosheng Zhang, Aston Zhang
• Biomedical Knowledge Graph-optimized Prompt Generation For Large Language Models (2023) • Bioinformatics • 72 citations
  Soman et al.
• USER: Unified Semantic Enhancement With Momentum Contrast For Image-text Retrieval (2023) • IEEE Transactions on Image Processing • 41 citations
  Zhang et al.
• Training Transformers With 4-bit Integers (2023) • No Venue
  Xi et al.
• Vision-language Models For Vision Tasks: A Survey (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 502 citations
  Zhang et al.
• Task Relation Distillation And Prototypical Pseudo Label For Incremental Named Entity Recognition (2023) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 12 citations
  Zhang et al.
• Skipdecode: Autoregressive Skip Decoding With Batching And Caching For Efficient LLM Inference (2023) • No Venue
  Corro et al.
• Scaling Law Of Large Sequential Recommendation Models (2023) • RecSys '24: 18th ACM Conference on Recommender Systems • 18 citations
  Zhang et al.
• Switchhead: Accelerating Transformers With Mixture-of-experts Attention (2023) • No Venue
  Csordás et al.
• "no, To The Right" -- Online Language Corrections For Robotic Manipulation Via Shared Autonomy (2023) • HRI '23: ACM/IEEE International Conference on Human-Robot Interaction • 39 citations
  Cui et al.
• Efficient And Effective Text Encoding For Chinese Llama And Alpaca (2023) • Arxiv • 71 citations
  Yiming Cui, Ziqing Yang, Xin Yao
• Adaptive And Personalized Exercise Generation For Online Language Learning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Peng Cui, Mrinmaya Sachan
• KD-DLGAN: Data Limited Image Generation Via Knowledge Distillation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 19 citations
  Cui et al.
• Personalized Autonomous Driving With Large Language Models: Field Experiments (2023) • 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) • 10 citations
  Cui et al.
• Large Language Models For Compiler Optimization (2023) • No Venue
  Cummins et al.
• Benchmarking Neural Network Training Algorithms (2023) • No Venue
  Dahl et al.
• Think, Act, And Ask: Open-world Interactive Personalized Robot Navigation (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 12 citations
  Dai et al.
• A Closer Look At The Few-shot Adaptation Of Large Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 34 citations
  Silva-Rodríguez et al.
• Harnessing The Power Of Multi-lingual Datasets For Pre-training: Towards Enhancing Text Spotting Performance (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 11 citations
  Das et al.
• Optimizing Distributed Training On Frontier For Large Language Models (2023) • ISC High Performance 2024 Research Paper Proceedings (39th International Conference) • 13 citations
  Dash et al.
• Mobile V-moes: Scaling Down Vision Transformers Via Sparse Mixture-of-experts (2023) • No Venue
  Daxberger et al.
• GALIP: Generative Adversarial Clips For Text-to-image Synthesis (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 137 citations
  Tao et al.
• Patch N' Pack: Navit, A Vision Transformer For Any Aspect Ratio And Resolution (2023) • No Venue
  Dehghani et al.
• Mind2web: Towards A Generalist Agent For The Web (2023) • No Venue
  Deng et al.
• Prompt Switch: Efficient CLIP Adaptation For Text-video Retrieval (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 32 citations
  Deng et al.
• Reward-augmented Decoding: Efficient Controlled Text Generation With A Unidirectional Reward Model (2023) • No Venue
  Haikang Deng, Colin Raffel
• Loraprune: Structured Pruning Meets Low-rank Parameter-efficient Fine-tuning (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 37 citations
  Zhang et al.
• Llmaaa: Making Large Language Models As Active Annotators (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 32 citations
  Zhang et al.
• Qlora: Efficient Finetuning Of Quantized Llms (2023) • No Venue
  Dettmers et al.
• Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages (2023) • Arxiv • 111 citations
  Zhang et al.
• BTLM-3B-8K: 7B Parameter Performance In A 3B Parameter Model (2023) • No Venue
  Dey et al.
• Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-thought Reasoning To Language Agents (2023) • ACM Computing Surveys • 18 citations
  Zhang et al.
• Mixture-of-domain-adapters: Decoupling And Injecting Domain Knowledge To Pre-trained Language Models Memories (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Diao et al.
• Everything Of Thoughts: Defying The Law Of Penrose Triangle For Thought Generation (2023) • No Venue
  Ding et al.
• A Wolf In Sheep's Clothing: Generalized Nested Jailbreak Prompts Can Fool Large Language Models Easily (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 23 citations
  Ding et al.
• Sparse Low-rank Adaptation Of Pre-trained Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 35 citations
  Ding et al.
• Cure The Headache Of Transformers Via Collinear Constrained Attention (2023) • No Venue
  Zhu et al.
• Exploring Collaboration Mechanisms For LLM Agents: A Social Psychology View (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Zhang et al.
• PUMA: Secure Inference Of Llama-7b In Five Minutes (2023) • No Venue
  Dong et al.
• RAFT: Reward Ranked Finetuning For Generative Foundation Model Alignment (2023) • Arxiv • 27 citations
  Dong et al.
• Flash-llm: Enabling Cost-effective And Highly-efficient Large Generative Model Inference With Unstructured Sparsity (2023) • Proceedings of the VLDB Endowment • 30 citations
  Xia et al.
• Efficient Long-range Transformers: You Need To Attend More, But Not Necessarily At Every Layer (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 11 citations
  Zhang et al.
• Automatic Prompt Augmentation And Selection With Chain-of-thought From Labeled Data (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 50 citations
  Kashun Shum, Shizhe Diao, Tong Zhang
• Ensemble Modeling With Contrastive Knowledge Distillation For Sequential Recommendation (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 17 citations
  Du et al.
• Biomedgpt: A Generalist Vision-language Foundation Model For Diverse Biomedical Tasks (2023) • Arxiv • 50 citations
  Zhang et al.
• Auto-instruct: Automatic Instruction Generation And Ranking For Black-box Language Models (2023) • No Venue
  Zhang et al.
• Tinyclip: CLIP Distillation Via Affinity Mimicking And Weight Inheritance (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 45 citations
  Wu et al.
• GPT-3.5, GPT-4, Or BARD? Evaluating Llms Reasoning Ability In Zero-shot Setting And Performance Boosting Through Prompts (2023) • Natural Language Processing Journal • 72 citations
  Espejel et al.
• Zeroquant(4+2): Redefining Llms Quantization With A New Fp6-centric Strategy For Diverse Generative Tasks (2023) • No Venue
  Wu et al.
• RMT: Retentive Networks Meet Vision Transformers (2023) • No Venue
  Fan et al.
• Gradient-free Textual Inversion (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 14 citations
  Zhengcong Fei, Mingyuan Fan, Junshi Huang
• Extending Context Window Of Large Language Models Via Semantic Compression (2023) • No Venue
  Fei et al.
• Grapeqa: Graph Augmentation And Pruning To Enhance Question-answering (2023) • WWW '23: The ACM Web Conference 2023 • 12 citations
  Taunk et al.
• Sotana: The Open-source Software Development Assistant (2023) • No Venue
  Shi et al.
• Leveraging GPT-4 For Food Effect Summarization To Enhance Product-specific Guidance Development Via Iterative Prompting (2023) • Journal of Biomedical Informatics • 24 citations
  Shi et al.
• Qmoe: Practical Sub-1-bit Compression Of Trillion-parameter Models (2023) • No Venue
  Elias Frantar, Dan Alistarh
• Scaling Laws For Sparsely-connected Foundation Models (2023) • No Venue
  Frantar et al.
• Flashfftconv: Efficient Convolutions For Long Sequences With Tensor Cores (2023) • No Venue
  Fu et al.
• Distil-whisper: Robust Knowledge Distillation Via Large-scale Pseudo Labelling (2023) • No Venue
  Sanchit Gandhi, Patrick von Platen, Alexander M. Rush
• Text-to-sql Empowered By Large Language Models: A Benchmark Evaluation (2023) • Proceedings of the VLDB Endowment • 134 citations
  Gao et al.
• Language Embedded 3D Gaussians For Open-vocabulary Scene Understanding (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 53 citations
  Shi et al.
• Agile-quant: Activation-guided Quantization For Faster Inference Of Llms On The Edge (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 22 citations
  Shen et al.
• Hiclip: Contrastive Language-image Pretraining With Hierarchy-aware Attention (2023) • Arxiv • 11 citations
  Geng et al.
• VIP5: Towards Multimodal Foundation Models For Recommendation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 42 citations
  Geng et al.
• Fine-grained Audible Video Description (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Shen et al.
• Efficient Post-training Quantization With FP8 Formats (2023) • No Venue
  Shen et al.
• Can A Student Large Language Model Perform As Well As It's Teacher? (2023) • Advances in Medical Technologies and Clinical Practice • 50 citations
  Sia Gholami, Marwan Omar
• Do Generative Large Language Models Need Billions Of Parameters? (2023) • Advances in Information Security, Privacy, and Ethics • 17 citations
  Sia Gholami, Marwan Omar
• Chatgpt Outperforms Crowd-workers For Text-annotation Tasks (2023) • Proceedings of the National Academy of Sciences • 621 citations
  Fabrizio Gilardi, Meysam Alizadeh, Maël Kubli
• Prompt Cache: Modular Attention Reuse For Low-latency Inference (2023) • No Venue
  Gim et al.
• Commoncanvas: An Open Diffusion Model Trained With Creative-commons Images (2023) • No Venue
  Gokaslan et al.
• CCM: Adding Conditional Controls To Text-to-image Consistency Models (2023) • No Venue
  Xiao et al.
• Learning From Models Beyond Fine-tuning (2023) • Nature Machine Intelligence • 36 citations
  Zheng et al.
• Generative AI Beyond Llms: System Implications Of Multi-modal Generation (2023) • 2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) • 11 citations
  Golden et al.
• Preventing Zero-shot Transfer Degradation In Continual Learning Of Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 61 citations
  Zheng et al.
• Pathfinder: Guided Search Over Multi-step Reasoning Paths (2023) • No Venue
  Golovneva et al.
• Whisper-at: Noise-robust Automatic Speech Recognizers Are Also Strong General Audio Event Taggers (2023) • No Venue
  Gong et al.
• Figstep: Jailbreaking Large Vision-language Models Via Typographic Visual Prompts (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 26 citations
  Gong et al.
• Mindagent: Emergent Gaming Interaction (2023) • No Venue
  Gong et al.
• Multimodal Data Augmentation For Image Captioning Using Diffusion Models (2023) • Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications • 11 citations
  Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
• Studying Large Language Model Generalization With Influence Functions (2023) • No Venue
  Grosse et al.
• Omniquant: Omnidirectionally Calibrated Quantization For Large Language Models (2023) • No Venue
  Shao et al.
• BOOT: Data-free Distillation Of Denoising Diffusion Models With Bootstrapping (2023) • No Venue
  Gu et al.
• Mamba: Linear-time Sequence Modeling With Selective State Spaces (2023) • No Venue
  Albert Gu, Tri Dao
• Distilling Large Language Models For Biomedical Knowledge Extraction: A Case Study On Adverse Drug Events (2023) • No Venue
  Gu et al.
• Knowledge Distillation Of Large Language Models (2023) • No Venue
  Gu et al.
• Sigmoid Loss For Language Image Pre-training (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 383 citations
  Zhai et al.
• Connecting Large Language Models With Evolutionary Algorithms Yields Powerful Prompt Optimizers (2023) • No Venue
  Guo et al.
• Towards Explainable Conversational Recommender Systems (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 21 citations
  Guo et al.
• One-shot Sensitivity-aware Mixed Sparsity Pruning For Large Language Models (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 20 citations
  Shao et al.
• Motionlm: Multi-agent Motion Forecasting As Language Modeling (2023) • No Venue
  Seff et al.
• Distilling And Retrieving Generalizable Knowledge For Robot Manipulation Via Language Corrections (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 17 citations
  Zha et al.
• Scaling Clinical Trial Matching Using Large Language Models: A Case Study In Oncology (2023) • No Venue
  Wong et al.
• Codegeex: A Pre-trained Model For Code Generation With Multilingual Benchmarking On Humaneval-x (2023) • KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 199 citations
  Zheng et al.
• Ziplora: Any Subject In Any Style By Effectively Merging Loras (2023) • No Venue
  Shah et al.
• A Real-world Webagent With Planning, Long Context Understanding, And Program Synthesis (2023) • No Venue
  Gur et al.
• Photorealistic Video Generation With Diffusion Models (2023) • No Venue
  Gupta et al.
• Dynamic Embedding Size Search With Minimum Regret For Streaming Recommender System (2023) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 10 citations
  He et al.
• Finding Neurons In A Haystack: Case Studies With Sparse Probing (2023) • Arxiv • 13 citations
  Gurnee et al.
• Scaling Up And Distilling Down: Language-guided Robot Skill Acquisition (2023) • No Venue
  Huy Ha, Pete Florence, Shuran Song
• Clockwork Diffusion: Efficient Generation With Model-step Distillation (2023) • No Venue
  Habibian et al.
• E^2VPT: An Effective And Efficient Approach For Visual Prompt Tuning (2023) • Arxiv • 10 citations
  Han et al.
• Fame-vil: Multi-tasking Vision-language Model For Heterogeneous Fashion Tasks (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 38 citations
  Han et al.
• Knowledge Transfer From Pre-trained Language Models To Cif-based Speech Recognizers Via Hierarchical Distillation (2023) • INTERSPEECH 2023 • 10 citations
  Han et al.
• Let 2D Diffusion Model Know 3d-consistency For Robust Text-to-3d Generation (2023) • Arxiv • 36 citations
  Seo et al.
• Motif-based Prompt Learning For Universal Cross-domain Recommendation (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 12 citations
  Hao et al.
• Reasoning With Language Model Is Planning With World Model (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 82 citations
  Hao et al.
• Vision-language Models Can Identify Distracted Driver Behavior From Naturalistic Videos (2023) • IEEE Transactions on Intelligent Transportation Systems • 42 citations
  Hasan et al.
• Fastervit: Fast Vision Transformers With Hierarchical Attention (2023) • No Venue
  Hatamizadeh et al.
• A Survey Of Large Language Models For Healthcare: From Data, Technology, And Applications To Accountability And Ethics (2023) • Arxiv • 52 citations
  He et al.
• Unicron: Economizing Self-healing LLM Training At Scale (2023) • No Venue
  He et al.
• VLAB: Enhancing Video Language Pre-training By Feature Adapting And Blending (2023) • Arxiv • 11 citations
  He et al.
• A Picture Is Worth A Thousand Words: Principled Recaptioning Improves Image Generation (2023) • No Venue
  Segalis et al.
• Fairness-aware Structured Pruning In Transformers (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Zayed et al.
• All In One: Exploring Unified Vision-language Tracking With Multi-modal Alignment (2023) • MM '23: The 31st ACM International Conference on Multimedia • 24 citations
  Zhang et al.
• A Survey On Model Compression For Large Language Models (2023) • Transactions of the Association for Computational Linguistics • 107 citations
  Zhu et al.
• Flashdecoding++: Faster Large Language Model Inference On Gpus (2023) • No Venue
  Hong et al.
• Integrating Pre-trained Speech And Language Models For End-to-end Speech Recognition (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Hono et al.
• Tool Documentation Enables Zero-shot Tool-usage With Large Language Models (2023) • No Venue
  Hsieh et al.
• Automatic Engineering Of Long Prompts (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Hsieh et al.
• Distilling Step-by-step! Outperforming Larger Language Models With Less Training Data And Smaller Model Sizes (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 179 citations
  Hsieh et al.
• NS3D: Neuro-symbolic Grounding Of 3D Objects And Relations (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 30 citations
  Joy Hsu, Jiayuan Mao, Jiajun Wu
• Bad Actor, Good Advisor: Exploring The Role Of Large Language Models In Fake News Detection (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 126 citations
  Hu et al.
• Visual Program Distillation: Distilling Tools And Programmatic Reasoning Into Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Hu et al.
• VL-PET: Vision-and-language Parameter-efficient Tuning Via Granularity Control (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Hu et al.
• Object Recognition As Next Token Prediction (2023) • No Venue
  Yue et al.
• Linear Recurrent Units For Sequential Recommendation (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 55 citations
  Yue et al.
• Dreamtime: An Improved Optimization Strategy For Text-to-3d Content Creation (2023) • No Venue
  Huang et al.
• Diversity-aware Meta Visual Prompting (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 42 citations
  Huang et al.
• INVE: Interactive Neural Video Editing (2023) • No Venue
  Huang et al.
• Improving Cross-lingual Information Retrieval On Low-resource Languages Via Optimal Transport Distillation (2023) • Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining • 21 citations
  Zhiqi Huang, Puxuan Yu, James Allan
• Segment And Caption Anything (2023) • No Venue
  Huang et al.
• Farzi Data: Autoregressive Data Distillation (2023) • No Venue
  Sachdeva et al.
• RLHF-V: Towards Trustworthy Mllms Via Behavior Alignment From Fine-grained Correctional Human Feedback (2023) • No Venue
  Yu et al.
• Sign Language Translation With Iterative Prototype (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 16 citations
  Yao et al.
• An Empirical Analysis Of Parameter-efficient Methods For Debiasing Pre-trained Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Zhongbin Xie, Thomas Lukasiewicz
• Efficient RLHF: Reducing The Memory Usage Of PPO (2023) • No Venue
  Santacroce et al.
• From Cooking Recipes To Robot Task Trees -- Improving Planning Correctness And Task Efficiency By Leveraging Llms With A Knowledge Network (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 10 citations
  Md Sadman Sakib, Yu Sun
• Tinygpt-v: Efficient Multimodal Large Language Model Via Small Backbones (2023) • No Venue
  Zhengqing Yuan, Zhaoxu Li, Lichao Sun
• Where To Go Next For Recommender Systems? ID- Vs. Modality-based Recommender Models Revisited (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 144 citations
  Yuan et al.
• Weight Subcloning: Direct Initialization Of Transformers Using Larger Pretrained Ones (2023) • No Venue
  Samragh et al.
• Instructvideo: Instructing Video Diffusion Models With Human Feedback (2023) • No Venue
  Yuan et al.
• Local 3D Editing Via 3D Distillation Of CLIP Knowledge (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Hyung et al.
• Mathprompter: Mathematical Reasoning Using Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track) • 89 citations
  Shima Imani, Liang Du, Harsh Shrivastava
• A Symmetric Dual Encoding Dense Retrieval Framework For Knowledge-intensive Visual Question Answering (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 19 citations
  Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani
• Enhancing Zero-shot Crypto Sentiment With Fine-tuned Language Model And Prompt Engineering (2023) • IEEE Access • 19 citations
  Wahidur et al.
• Deepspeed Ulysses: System Optimizations For Enabling Training Of Extreme Long Sequence Transformer Models (2023) • No Venue
  Jacobs et al.
• Language Models In Molecular Discovery (2023) • No Venue
  Janakarajan et al.
• Efficient Continual Pre-training For Building Domain Specific Large Language Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Yong Xie, Karan Aggarwal, Aitzaz Ahmad
• Self-evaluation Guided Beam Search For Reasoning (2023) • Arxiv • 10 citations
  Xie et al.
• A Study On The Implementation Of Generative AI Services Using An Enterprise Data-based LLM Application Architecture (2023) • Advances in Artificial Intelligence and Machine Learning • 65 citations
  Cheonsu Jeong
• Online Distillation-enhanced Multi-modal Transformer For Sequential Recommendation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 22 citations
  Ji et al.
• Sur-adapter: Enhancing Text-to-image Pre-trained Diffusion Models With Large Language Models (2023) • MM '23: The 31st ACM International Conference on Multimedia • 34 citations
  Zhong et al.
• Scedit: Efficient And Controllable Image Diffusion Generation Via Skip Connection Editing (2023) • No Venue
  Jiang et al.
• Lion: Adversarial Distillation Of Proprietary Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Jiang et al.
• UDAPDR: Unsupervised Domain Adaptation Via LLM Prompting And Distillation Of Rerankers (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Saad-Falcon et al.
• Wavecoder: Widespread And Versatile Enhanced Instruction Tuning With Refined Data Generation (2023) • No Venue
  Yu et al.
• Hyperdreambooth: Hypernetworks For Fast Personalization Of Text-to-image Models (2023) • No Venue
  Ruiz et al.
• Multi-lingual And Multi-cultural Figurative Language Understanding (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 14 citations
  Kabra et al.
• Capsfusion: Rethinking Image-text Data At Scale (2023) • No Venue
  Yu et al.
• Cotracker: It Is Better To Track Together (2023) • No Venue
  Karaev et al.
• Lightweight Transformers For Clinical Natural Language Processing (2023) • Natural Language Engineering • 16 citations
  Rohanian et al.
• Sorted Llama: Unlocking The Potential Of Intermediate Layers Of Large Language Models For Dynamic Inference Using Sorted Fine-tuning (soft) (2023) • No Venue
  Kavehzadeh et al.
• In-context Reinforcement Learning With Algorithm Distillation (2022) • Arxiv • 10 citations
  Laskin et al.
• An Efficiency Study For SPLADE Models (2022) • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval • 59 citations
  Carlos Lassance, Stéphane Clinchant
• Efficient Machine Translation Domain Adaptation (2022) • Proceedings of the 1st Workshop on Semiparametric Methods in NLP: Decoupling Logic from Knowledge • 17 citations
  Pedro Henrique Martins, Zita Marinho, André F. T. Martins
• Single-stream Multi-level Alignment For Vision-language Pretraining (2022) • Lecture Notes in Computer Science • 10 citations
  Khan et al.
• Scaling Language Model Size In Cross-device Federated Learning (2022) • Proceedings of the First Workshop on Federated Learning for Natural Language Processing (FL4NLP 2022) • 11 citations
  Ro et al.
• On Robust Prefix-tuning For Text Classification (2022) • Arxiv • 10 citations
  Zonghan Yang, Yang Liu
• FP8 Formats For Deep Learning (2022) • Arxiv • 49 citations
  Micikevicius et al.
• Multilingual Neural Machine Translation With Deep Encoder And Multiple Shallow Decoders (2022) • Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume • 11 citations
  Kong et al.
• End-to-end Spoken Conversational Question Answering: Task, Dataset And Model (2022) • Findings of the Association for Computational Linguistics: NAACL 2022 • 15 citations
  You et al.
• Vitcod: Vision Transformer Acceleration Via Dedicated Algorithm And Accelerator Co-design (2022) • 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA) • 92 citations
  You et al.
• ALADIN: Distilling Fine-grained Alignment Scores For Efficient Image-text Matching And Retrieval (2022) • Proceedings of the 19th International Conference on Content-based Multimedia Indexing • 28 citations
  Messina et al.
• Simlm: Pre-training With Representation Bottleneck For Dense Passage Retrieval (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 31 citations
  Wang et al.
• Iterative Scene Graph Generation With Generative Transformers (2022) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Sanjoy Kundu, Sathyanarayanan N. Aakur
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• Cross-modal Recurrent Models For Weight Objective Prediction From Multimodal Time-series Data (2017) • PervasiveHealth '18: 12th EAI International Conference on Pervasive Computing Technologies for Healthcare • 16 citations
  Veličković et al.
• End-to-end Neural Coreference Resolution (2017) • Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing • 253 citations
  Lee et al.
• Efficient Attention Using A Fixed-size Memory Representation (2017) • Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing • 13 citations
  Denny Britz, Melody Y. Guan, Minh-Thang Luong
• Adversarial Advantage Actor-critic Model For Task-completion Dialogue Policy Learning (2017) • ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 40 citations
  Peng et al.
• Dynamic Data Selection For Neural Machine Translation (2017) • Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing • 24 citations
  Marlies van Der Wees, Arianna Bisazza, Christof Monz
• Fast And Accurate Entity Recognition With Iterated Dilated Convolutions (2017) • Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing • 278 citations
  Strubell et al.
• Visual Question Answering As A Meta Learning Task (2017) • Lecture Notes in Computer Science • 21 citations
  Damien Teney, Anton van Den Hengel
• Sample-efficient Actor-critic Reinforcement Learning With Supervised Data For Dialogue Management (2017) • Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue • 39 citations
  Su et al.
• Empower Sequence Labeling With Task-aware Neural Language Model (2017) • Proceedings of the AAAI Conference on Artificial Intelligence • 126 citations
  Liu et al.
• Event Representations For Automated Story Generation With Deep Neural Nets (2017) • Proceedings of the AAAI Conference on Artificial Intelligence • 47 citations
  Martin et al.
• Bbq-networks: Efficient Exploration In Deep Reinforcement Learning For Task-oriented Dialogue Systems (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 42 citations
  Lipton et al.
• Cached Long Short-term Memory Neural Networks For Document-level Sentiment Classification (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 96 citations
  Xu et al.
• Compression Of Neural Machine Translation Models Via Pruning (2016) • Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning • 72 citations
  Abigail See, Minh-Thang Luong, Christopher D. Manning
• Multiresolution Recurrent Neural Networks: An Application To Dialogue Response Generation (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 46 citations
  Serban et al.
• Neural Symbolic Machines: Learning Semantic Parsers On Freebase With Weak Supervision (2016) • Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 124 citations
  Liang et al.
• Learning Distributed Representations Of Sentences From Unlabelled Data (2016) • Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 162 citations
  Felix Hill, Kyunghyun Cho, Anna Korhonen
• Improved Recurrent Neural Networks For Session-based Recommendations (2016) • DLRS 2016: Workshop on Deep Learning for Recommender Systems • 574 citations
  Yong Kiam Tan, Xinxing Xu, Yong Liu
• Sequence-level Knowledge Distillation (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 299 citations
  Yoon Kim, Alexander M. Rush
• Ask The GRU: Multi-task Learning For Deep Text Recommendations (2016) • RecSys '16: Tenth ACM Conference on Recommender Systems • 196 citations
  Trapit Bansal, David Belanger, Andrew McCallum

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Evaluation 4932 papers #

• Toward Ultra-long-horizon Agentic Science: Cognitive Accumulation For Machine Learning Engineering (2026) • No Venue
  Zhu et al.
• MRAG: Benchmarking Retrieval-augmented Generation For Bio-medicine (2026) • Findings of the Association for Computational Linguistics ACL 2024 • 139 citations
  Wei Zhu
• Can We Predict Before Executing Machine Learning Agents? (2026) • No Venue
  Zheng et al.
• Can Llms Clean Up Your Mess? A Survey Of Application-ready Data Preparation With Llms (2026) • No Venue
  Zhou et al.
• Agent-as-a-judge (2026) • No Venue
  You et al.
• Towards Automated Kernel Generation In The Era Of Llms (2026) • No Venue
  Yu et al.
• Infinitevggt: Visual Geometry Grounded Transformer For Endless Streams (2026) • No Venue
  Yuan et al.
• Dr. Zero: Self-evolving Search Agents Without Training Data (2026) • No Venue
  Yue et al.
• Glimprouter: Efficient Collaborative Inference By Glimpsing One Token Of Thoughts (2026) • No Venue
  Zeng et al.
• Opennovelty: An Llm-powered Agentic System For Verifiable Scholarly Novelty Assessment (2026) • No Venue
  Zhang et al.
• Expseek: Self-triggered Experience Seeking For Web Agents (2026) • No Venue
  Zhang et al.
• Aacr-bench: Evaluating Automatic Code Review With Holistic Repository-level Context (2026) • No Venue
  Zhang et al.
• Arenarl: Scaling RL For Open-ended Agents Via Tournament-based Relative Ranking (2026) • No Venue
  Zhang et al.
• Evofsm: Controllable Self-evolution For Deep Research With Finite State Machines (2026) • No Venue
  Zhang et al.
• Confidence Estimation For Llms In Multi-turn Interactions (2026) • No Venue
  Zhang et al.
• Deepplanning: Benchmarking Long-horizon Agentic Planning With Verifiable Constraints (2026) • No Venue
  Zhang et al.
• HERMES: KV Cache As Hierarchical Memory For Efficient Streaming Video Understanding (2026) • No Venue
  Zhang et al.
• Openvision 3: A Family Of Unified Visual Encoder For Both Understanding And Generation (2026) • No Venue
  Zhang et al.
• PROGRESSLM: Towards Progress Reasoning In Vision-language Models (2026) • No Venue
  Zhang et al.
• MOSS Transcribe Diarize: Accurate Transcription With Speaker Diarization (2026) • No Venue
  Ai et al.
• VIBE: Visual Instruction Based Editor (2026) • No Venue
  Alekseenko et al.
• Are Llms Vulnerable To Preference-undermining Attacks (PUA)? A Factorial Analysis Methodology For Diagnosing The Trade-off Between Preference Alignment And Real-world Validity (2026) • No Venue
  An et al.
• Webgym: Scaling Training Environments For Visual Web Agents With Realistic Tasks (2026) • No Venue
  Bai et al.
• Entropy Sentinel: Continuous LLM Accuracy Monitoring From Decoding Entropy Traces In STEM (2026) • No Venue
  Pedro Memoli Buffa, Luciano del Corro
• Babyvision: Visual Reasoning Beyond Language (2026) • No Venue
  Chen et al.
• Futureomni: Evaluating Future Forecasting From Omni-modal Context For Multimodal Llms (2026) • No Venue
  Chen et al.
• What Users Leave Unsaid: Under-specified Queries Limit Vision-language Models (2026) • No Venue
  Choi et al.
• K-EXAONE Technical Report (2026) • No Venue
  Choi et al.
• COMPASS: A Framework For Evaluating Organization-specific Policy Alignment In Llms (2026) • No Venue
  Choi et al.
• Translategemma Technical Report (2026) • No Venue
  Finkelstein et al.
• Plenoptic Video Generation (2026) • No Venue
  Fu et al.
• Endless Terminals: Scaling RL Environments For Terminal Agents (2026) • No Venue
  Gandhi et al.
• Bizfinbench.v2: A Unified Dual-mode Bilingual Benchmark For Expert-level Financial Capability Alignment (2026) • No Venue
  Guo et al.
• LTX-2: Efficient Joint Audio-visual Foundation Model (2026) • No Venue
  Hacohen et al.
• Unicorn: Towards Self-improving Unified Multimodal Models Through Self-generated Supervision (2026) • No Venue
  Han et al.
• Dancing In Chains: Strategic Persuasion In Academic Rebuttal Via Theory Of Mind (2026) • No Venue
  Zhitao He, Zongwei Lyu, Yi R Fung
• Gutenocr: A Grounded Vision-language Front-end For Documents (2026) • No Venue
  Heidenreich et al.
• Qwen3-tts Technical Report (2026) • No Venue
  Hu et al.
• Conceptmoe: Adaptive Token-to-concept Compression For Implicit Compute Allocation (2026) • No Venue
  Huang et al.
• Mmdeepresearch-bench: A Benchmark For Multimodal Deep Research Agents (2026) • No Venue
  Huang et al.
• Reinforcement Learning Via Self-distillation (2026) • No Venue
  Hübotter et al.
• Thinking With Map: Reinforced Parallel Map-augmented Agent For Geolocalization (2026) • No Venue
  Ji et al.
• Avmeme Exam: A Multimodal Multilingual Multicultural Benchmark For Llms' Contextual And Cultural Knowledge And Thinking (2026) • No Venue
  Jiang et al.
• Discovering Hidden Gems In Model Repositories (2026) • No Venue
  Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen
• Memory-v2v: Augmenting Video-to-video Diffusion Models With Memory (2026) • No Venue
  Lee et al.
• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
• Toolprmbench: Evaluating And Advancing Process Reward Models For Tool-using Agents (2026) • No Venue
  Li et al.
• Agencybench: Benchmarking The Frontiers Of Autonomous Agents In 1m-token Real-world Contexts (2026) • No Venue
  Li et al.
• Dreamstyle: A Unified Framework For Video Stylization (2026) • No Venue
  Li et al.
• Rubrichub: A Comprehensive And Highly Discriminative Rubric Dataset Via Automated Coarse-to-fine Generation (2026) • No Venue
  Li et al.
• Qwen3-vl-embedding And Qwen3-vl-reranker: A Unified Framework For State-of-the-art Multimodal Retrieval And Ranking (2026) • No Venue
  Li et al.
• Scientific Image Synthesis: Benchmarking, Methodologies, And Downstream Utility (2026) • No Venue
  Lin et al.
• Simplemem: Efficient Lifelong Memory For LLM Agents (2026) • No Venue
  Liu et al.
• GDPO: Group Reward-decoupled Normalization Policy Optimization For Multi-reward RL Optimization (2026) • No Venue
  Liu et al.
• Numina-lean-agent: An Open And General Agentic Reasoning System For Formal Mathematics (2026) • No Venue
  Liu et al.
• Same Claim, Different Judgment: Benchmarking Scenario-induced Bias In Multilingual Financial Misinformation Detection (2026) • No Venue
  Liu et al.
• Skinflow: Efficient Information Transmission For Open Dermatological Diagnosis Via Dynamic Visual Encoding And Staged RL (2026) • No Venue
  Liu et al.
• Vidore V3: A Comprehensive Evaluation Of Retrieval Augmented Generation In Complex Real-world Scenarios (2026) • No Venue
  Loison et al.
• Beyond Static Tools: Test-time Tool Evolution For Scientific Reasoning (2026) • No Venue
  Lu et al.
• A Safety Report On GPT-5.2, Gemini 3 Pro, Qwen3-vl, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, And Seedream 4.5 (2026) • No Venue
  Ma et al.
• Terminal-bench: Benchmarking Agents On Hard, Realistic Tasks In Command Line Interfaces (2026) • No Venue
  Merrill et al.
• A Bertology View Of LLM Orchestrations: Token- And Layer-selective Probes For Efficient Single-pass Classification (2026) • No Venue
  Gonzalo Ariel Meyoyan, Luciano del Corro
• Opendecoder: Open Large Language Model Decoding To Incorporate Document Quality In RAG (2026) • No Venue
  Mo et al.
• The Script Is All You Need: An Agentic Framework For Long-horizon Dialogue-to-cinematic Video Generation (2026) • No Venue
  Mu et al.
• Typhoon OCR: Open Vision-language Model For Thai Document Extraction (2026) • No Venue
  Nonesung et al.
• Benchmark^2: Systematic Evaluation Of LLM Benchmarks (2026) • No Venue
  Qian et al.
• Future Optical Flow Prediction Improves Robot Control & Video Generation (2026) • No Venue
  Ranasinghe et al.
• Danqing: An Up-to-date Large-scale Chinese Vision-language Pre-training Dataset (2026) • No Venue
  Shen et al.
• Qwen3-asr Technical Report (2026) • No Venue
  Shi et al.
• Typhoon ASR Real-time: Fastconformer-transducer For Thai Automatic Speech Recognition (2026) • No Venue
  Sirichotedumrong et al.
• Envscaler: Scaling Tool-interactive Environments For LLM Agent Via Programmatic Synthesis (2026) • No Venue
  Song et al.
• Rethinking Composed Image Retrieval Evaluation: A Fine-grained Benchmark From Image Editing (2026) • No Venue
  Song et al.
• When Personalization Misleads: Understanding And Mitigating Hallucinations In Personalized Llms (2026) • No Venue
  Sun et al.
• World Craft: Agentic Framework To Create Visualizable Worlds Via Text (2026) • No Venue
  Sun et al.
• Lightonocr: A 1B End-to-end Multilingual Vision-language Model For State-of-the-art OCR (2026) • No Venue
  Said Taghadouini, Adrien Cavaillès, Baptiste Aubertin
• Talk2move: Reinforcement Learning For Text-instructed Object-level Geometric Transformation In Scenes (2026) • No Venue
  Tan et al.
• Kv-embedding: Training-free Text Embedding Via Internal KV Re-routing In Decoder-only Llms (2026) • No Venue
  Yixuan Tang, Yi Yang
• Memoryrewardbench: Benchmarking Reward Models For Long-term Memory Management In Large Language Models (2026) • No Venue
  Tang et al.
• Liberty: A Causal Framework For Benchmarking Concept-based Explanations Of Llms With Structural Counterfactuals (2026) • No Venue
  Toker et al.
• Cof-t2i: Video Models As Pure Visual Reasoners For Text-to-image Generation (2026) • No Venue
  Tong et al.
• Inference-time Scaling Of Verification: Self-evolving Deep Research Agents Via Test-time Rubric-guided Verification (2026) • No Venue
  Wan et al.
• The Illusion Of Specialization: Unveiling The Domain-invariant "standing Committee" In Mixture-of-experts Models (2026) • No Venue
  Wang et al.
• Openrt: An Open-source Red Teaming Framework For Multimodal Llms (2026) • No Venue
  Wang et al.
• Deepresearcheval: An Automated Framework For Deep Research Task Construction And Agentic Evaluation (2026) • No Venue
  Wang et al.
• Everything In Its Place: Benchmarking Spatial Intelligence Of Text-to-image Models (2026) • No Venue
  Wang et al.
• Swe-pruner: Self-adaptive Context Pruning For Coding Agents (2026) • No Venue
  Wang et al.
• Visgym: Diverse, Customizable, Scalable Environments For Multimodal Agents (2026) • No Venue
  Wang et al.
• Youtu-vl: Unleashing Visual Potential Via Unified Vision-language Supervision (2026) • No Venue
  Wei et al.
• Innovator-vl: A Multimodal Large Language Model For Scientific Discovery (2026) • No Venue
  Wen et al.
• Visual Generation Unlocks Human-like Reasoning Through Multimodal World Models (2026) • No Venue
  Wu et al.
• Knowme-bench: Benchmarking Person Understanding For Lifelong Digital Companions (2026) • No Venue
  Wu et al.
• A Pragmatic VLA Foundation Model (2026) • No Venue
  Wu et al.
• Atlas: Orchestrating Heterogeneous Models And Tools For Multi-domain Complex Reasoning (2026) • No Venue
  Wu et al.
• Dynamicvla: A Vision-language-action Model For Dynamic Object Manipulation (2026) • No Venue
  Xie et al.
• Mmformalizer: Multimodal Autoformalization In The Wild (2026) • No Venue
  Xiong et al.
• Illusions Of Confidence? Diagnosing LLM Truthfulness Via Neighborhood Consistency (2026) • No Venue
  Xu et al.
• Toward Efficient Agents: Memory, Tool Learning, And Planning (2026) • No Venue
  Yang et al.
• Abc-bench: Benchmarking Agentic Backend Coding In Real-world Development (2026) • No Venue
  Yang et al.
• Llama-3.1-foundationai-securityllm-reasoning-8b Technical Report (2026) • No Venue
  Yang et al.
• Reasoning Like An Economist: Post-training On Economic Problems Induces Strategic Generalization In Llms (2025) • No Venue
  Zhou et al.
• Omniworld: A Multi-domain And Multi-modal Dataset For 4D World Modeling (2025) • No Venue
  Zhou et al.
• Roborefer: Towards Spatial Referring With Reasoning In Vision-language Models For Robotics (2025) • No Venue
  Zhou et al.
• M3-bench: Multi-modal, Multi-hop, Multi-threaded Tool-using MLLM Agent Benchmark (2025) • No Venue
  Zhou et al.
• Learning To Reason In 4D: Dynamic Spatial Understanding For Vision Language Models (2025) • No Venue
  Zhou et al.
• Fone: Precise Single-token Number Embeddings Via Fourier Features (2025) • No Venue
  Zhou et al.
• 3DIS-FLUX: Simple And Efficient Multi-instance Generation With Dit Rendering (2025) • No Venue
  Zhou et al.
• Dreamrenderer: Taming Multi-instance Attribute Control In Large-scale Text-to-image Models (2025) • No Venue
  Zhou et al.
• Dragflow: Unleashing Dit Priors With Region Based Supervision For Drag Editing (2025) • No Venue
  Zhou et al.
• Breaking The Exploration Bottleneck: Rubric-scaffolded Reinforcement Learning For General LLM Reasoning (2025) • No Venue
  Zhou et al.
• A Theoretical Study On Bridging Internal Probability And Self-consistency For LLM Reasoning (2025) • No Venue
  Zhou et al.
• Reinforcing General Reasoning Without Verifiers (2025) • No Venue
  Zhou et al.
• Abgen: Evaluating Large Language Models In Ablation Study Design And Evaluation For Scientific Research (2025) • No Venue
  Zhao et al.
• Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study On Information-seeking QA Over Scientific Papers (2025) • No Venue
  Zhao et al.
• Achieving Olympia-level Geometry Large Language Model Agent Via Complexity Boosting Reinforcement Learning (2025) • No Venue
  Zhao et al.
• Babel: Open Multilingual Large Language Models Serving Over 90% Of Global Speakers (2025) • No Venue
  Zhao et al.
• Hifi-sr: A Unified Generative Transformer-convolutional Adversarial Network For High-fidelity Speech Super-resolution (2025) • No Venue
  Zhao et al.
• Envisioning Beyond The Pixels: Benchmarking Reasoning-informed Visual Editing (2025) • No Venue
  Zhao et al.
• Lex-art: Rethinking Text Generation Via Scalable High-quality Data Synthesis (2025) • No Venue
  Zhao et al.
• One Token To Fool Llm-as-a-judge (2025) • No Venue
  Zhao et al.
• Qwen3guard Technical Report (2025) • No Venue
  Zhao et al.
• Sample, Scrutinize And Scale: Effective Inference-time Search By Scaling Verification (2025) • No Venue
  Eric Zhao, Pranjal Awasthi, Sreenivas Gollapudi
• Sciarena: An Open Evaluation Platform For Foundation Models In Scientific Literature Tasks (2025) • No Venue
  Zhao et al.
• VLA^2: Empowering Vision-language-action Models With An Agentic Framework For Unseen Concept Manipulation (2025) • No Venue
  Zhao et al.
• Ultraimage: Rethinking Resolution Extrapolation In Image Diffusion Transformers (2025) • No Venue
  Zhao et al.
• Ultravico: Breaking Extrapolation Limits In Video Diffusion Transformers (2025) • No Venue
  Zhao et al.
• An Empirical Study Of Qwen3 Quantization (2025) • No Venue
  Zheng et al.
• Vbench-2.0: Advancing Video Generation Benchmark Suite For Intrinsic Faithfulness (2025) • No Venue
  Zheng et al.
• Newtonbench: Benchmarking Generalizable Scientific Law Discovery In LLM Agents (2025) • No Venue
  Zheng et al.
• Livecodebench Pro: How Do Olympiad Medalists Judge Llms In Competitive Programming? (2025) • No Venue
  Zheng et al.
• Multimodal Spatial Reasoning In The Large Model Era: A Survey And Benchmarks (2025) • No Venue
  Zheng et al.
• Prosperity Before Collapse: How Far Can Off-policy RL Reach With Stale Data On Llms? (2025) • No Venue
  Haizhong Zheng, Jiawei Zhao, Bedi Chen
• V-MAGE: A Game Evaluation Framework For Assessing Visual-centric Capabilities In Multimodal Large Language Models (2025) • No Venue
  Zheng et al.
• Sci-verifier: Scientific Verifier With Thinking (2025) • No Venue
  Zheng et al.
• Complexfuncbench: Exploring Multi-step And Constrained Function Calling Under Long-context Scenario (2025) • No Venue
  Zhong et al.
• Vibe Checker: Aligning Code Evaluation With Human Preference (2025) • No Venue
  Zhong et al.
• 4kagent: Agentic Any Image To 4K Super-resolution (2025) • No Venue
  Zuo et al.
• Timechat-online: 80% Visual Tokens Are Naturally Redundant In Streaming Videos (2025) • No Venue
  Yao et al.
• Through-the-mask: Mask-based Motion Trajectories For Image-to-video Generation (2025) • No Venue
  Yariv et al.
• VLA-R1: Enhancing Reasoning In Vision-language-action Models (2025) • No Venue
  Ye et al.
• A Multi-dimensional Constraint Framework For Evaluating And Improving Instruction Following In Large Language Models (2025) • No Venue
  Ye et al.
• Echo-4o: Harnessing The Power Of Gpt-4o Synthetic Images For Improved Image Generation (2025) • No Venue
  Ye et al.
• Black-box On-policy Distillation Of Large Language Models (2025) • No Venue
  Ye et al.
• Agentfold: Long-horizon Web Agents With Proactive Context Management (2025) • No Venue
  Ye et al.
• Primitiveanything: Human-crafted 3D Primitive Assembly Generation With Auto-regressive Transformer (2025) • No Venue
  Ye et al.
• Imgedit: A Unified Image Editing Dataset And Benchmark (2025) • No Venue
  Ye et al.
• Toolhop: A Query-driven Benchmark For Evaluating Large Language Models In Multi-hop Tool Use (2025) • No Venue
  Ye et al.
• Realgen: Photorealistic Text-to-image Generation Via Detector-guided Rewards (2025) • No Venue
  Ye et al.
• Seeing From Another Perspective: Evaluating Multi-view Understanding In Mllms (2025) • No Venue
  Yeh et al.
• CLEAR: Error Analysis Via Llm-as-a-judge Made Easy (2025) • No Venue
  Yehudai et al.
• Survey On Evaluation Of Llm-based Agents (2025) • No Venue
  Yehudai et al.
• Too Good To Be Bad: On The Failure Of Llms To Role-play Villains (2025) • No Venue
  Yi et al.
• Infinity-rope: Action-controllable Infinite Video Generation Emerges From Autoregressive Self-rollout (2025) • No Venue
  Yesiltepe et al.
• Magicinfinite: Generating Infinite Talking Videos With Your Words And Voice (2025) • No Venue
  Yi et al.
• Pangu Ultra: Pushing The Limits Of Dense Large Language Models On Ascend Npus (2025) • No Venue
  Yin et al.
• Livemcp-101: Stress Testing And Diagnosing Mcp-enabled Agents On Challenging Queries (2025) • No Venue
  Yin et al.
• Evaluating Parameter Efficient Methods For RLVR (2025) • No Venue
  Yin et al.
• Aionopedia: An LLM Agent Orchestrating Multimodal Learning For Ionic Liquid Discovery (2025) • No Venue
  Yin et al.
• Lazydrag: Enabling Stable Drag-based Editing On Multi-modal Diffusion Transformers Via Explicit Correspondence (2025) • No Venue
  Yin et al.
• REASONEDIT: Towards Reasoning-enhanced Image Editing Models (2025) • No Venue
  Yin et al.
• Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures (2025) • No Venue
  Ying et al.
• Stresstest: Can YOUR Speech LM Handle The Stress? (2025) • No Venue
  Iddo Yosha, Gallil Maimon, Yossi Adi
• Alpharesearch: Accelerating New Algorithm Discovery With Language Models (2025) • No Venue
  Yu et al.
• Pixeldit: Pixel Diffusion Transformers For Image Generation (2025) • No Venue
  Yu et al.
• Dimple: Discrete Diffusion Multimodal Large Language Model With Parallel Decoding (2025) • No Venue
  Runpeng Yu, Xinyin Ma, Xinchao Wang
• Guided Self-evolving Llms With Minimal Human Supervision (2025) • No Venue
  Yu et al.
• Formalmath: Benchmarking Formal Mathematical Reasoning Of Large Language Models (2025) • No Venue
  Yu et al.
• Generating Symbolic World Models Via Test-time Scaling Of Large Language Models (2025) • No Venue
  Yu et al.
• Omnialpha: A Sequence-to-sequence Framework For Unified Multi-task RGBA Generation (2025) • No Venue
  Yu et al.
• Introducing Visual Perception Token Into Multimodal Large Language Model (2025) • No Venue
  Runpeng Yu, Xinyin Ma, Xinchao Wang
• Livetradebench: Seeking Real-world Alpha With Large Language Models (2025) • No Venue
  Haofei Yu, Fenghai Li, Jiaxuan You
• Minicpm-v 4.5: Cooking Efficient Mllms Via Architecture, Data, And Training Recipe (2025) • No Venue
  Yu et al.
• Trajselector: Harnessing Latent Representations For Efficient And Effective Best-of-n In Large Reasoning Model (2025) • No Venue
  Yu et al.
• RLPR: Extrapolating RLVR To General Domains Without Verifiers (2025) • No Venue
  Yu et al.
• PRELUDE: A Benchmark Designed To Require Global Comprehension And Reasoning Over Long Contexts (2025) • No Venue
  Yu et al.
• QUASAR: Quantum Assembly Code Generation Using Tool-augmented Llms Via Agentic RL (2025) • No Venue
  Yu et al.
• Vrbench: A Benchmark For Multi-step Reasoning In Long Narrative Videos (2025) • No Venue
  Yu et al.
• Parrot: Persuasion And Agreement Robustness Rating Of Output Truth -- A Sycophancy Robustness Benchmark For Llms (2025) • No Venue
  Yusuf Çelebi, Mahmoud El Hussieni, Özay Ezerceli
• Mme-reasoning: A Comprehensive Benchmark For Logical Reasoning In Mllms (2025) • No Venue
  Yuan et al.
• Agent-r: Training Language Model Agents To Reflect Via Iterative Self-training (2025) • No Venue
  Yuan et al.
• Eoc-bench: Can Mllms Identify, Recall, And Forecast Objects In An Egocentric World? (2025) • No Venue
  Yuan et al.
• Efficientllm: Efficiency In Large Language Models (2025) • No Venue
  Yuan et al.
• Hallucinations Can Improve Large Language Models In Drug Discovery (2025) • No Venue
  Shuzhou Yuan, Michael Färber
• Give Me FP32 Or Give Me Death? Challenges And Solutions For Reproducible Reasoning (2025) • No Venue
  Yuan et al.
• Tarsier2: Advancing Large Vision-language Models From Detailed Video Description To Comprehensive Video Understanding (2025) • No Venue
  Yuan et al.
• Yue: Scaling Open Foundation Models For Long-form Music Generation (2025) • No Venue
  Yuan et al.
• Vl-cogito: Progressive Curriculum Reinforcement Learning For Advanced Multimodal Reasoning (2025) • No Venue
  Yuan et al.
• Ewmbench: Evaluating Scene, Motion, And Semantic Quality In Embodied World Models (2025) • No Venue
  Yue et al.
• Designlab: Designing Slides Through Iterative Detection And Correction (2025) • No Venue
  Yun et al.
• Med-prm: Medical Reasoning Models With Stepwise, Guideline-verified Process Rewards (2025) • No Venue
  Yun et al.
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• FINEREASON: Evaluating And Improving Llms' Deliberate Reasoning Through Reflective Puzzle Solving (2025) • No Venue
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• Reveal Hidden Pitfalls And Navigate Next Generation Of Vector Similarity Search From Task-centric Views (2025) • No Venue
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• Xverify: Efficient Answer Verifier For Reasoning Model Evaluations (2025) • No Venue
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• Revisiting Reinforcement Learning For LLM Reasoning From A Cross-domain Perspective (2025) • No Venue
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• Learning From Failures In Multi-attempt Reinforcement Learning (2025) • No Venue
  Stephen Chung, Wenyu Du, Jie Fu
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• Can Llms Replace Human Evaluators? An Empirical Study Of Llm-as-a-judge In Software Engineering (2025) • Proceedings of the ACM on Software Engineering • 16 citations
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  Man et al.
• Emergenttts-eval: Evaluating TTS Models On Complex Prosodic, Expressiveness, And Linguistic Challenges Using Model-as-a-judge (2025) • No Venue
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  Ethan Mendes, Alan Ritter
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• Evaluating The Effectiveness Of XAI Techniques For Encoder-based Language Models (2025) • Knowledge-Based Systems • 10 citations
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• Medical Reasoning In Llms: An In-depth Analysis Of Deepseek R1 (2025) • Frontiers in Artificial Intelligence • 11 citations
  Birger Moell, Fredrik Sand Aronsson, Sanian Akbar
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  Nadas et al.
• Synthetic Data Generation Using Large Language Models: Advances In Text And Code (2025) • IEEE Access • 13 citations
  Mihai Nadas, Laura Diosan, Andreea Tomescu
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  Mohammad Nasirzadeh, Jafar Tahmoresnezhad, Parviz Rashidi-Khazaee
• The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks And Prompt Injections (2025) • No Venue
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• The Sparse Frontier: Sparse Attention Trade-offs In Transformer Llms (2025) • No Venue
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• Sotopia-π: Interactive Learning Of Socially Intelligent Language Agents (2024) • No Venue
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• Sibyl: Simple Yet Effective Agent Framework For Complex Real-world Reasoning (2024) • No Venue
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• Rocks Coding, Not Development--a Human-centric, Experimental Evaluation Of Llm-supported SE Tasks (2024) • Proceedings of the ACM on Software Engineering • 15 citations
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• Resonance Rope: Improving Context Length Generalization Of Large Language Models (2024) • No Venue
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• Task Supportive And Personalized Human-large Language Model Interaction: A User Study (2024) • CHIIR '24: 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval • 17 citations
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• Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations For Vision Foundation Models (2024) • No Venue
  Hengyi Wang, Shiwei Tan, Hao Wang
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• PIN: A Knowledge-intensive Dataset For Paired And Interleaved Multimodal Documents (2024) • No Venue
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• Phased Consistency Model (2024) • No Venue
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• Opendevin: An Open Platform For AI Software Developers As Generalist Agents (2024) • No Venue
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• Multilingual E5 Text Embeddings: A Technical Report (2024) • No Venue
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• Muirbench: A Comprehensive Benchmark For Robust Multi-image Understanding (2024) • No Venue
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• Move As You Say, Interact As You Can: Language-guided Human Motion Generation With Scene Affordance (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 33 citations
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• MOSAIC: A Modular System For Assistive And Interactive Cooking (2024) • No Venue
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• Mixture-of-agents Enhances Large Language Model Capabilities (2024) • No Venue
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• Mementos: A Comprehensive Benchmark For Multimodal Large Language Model Reasoning Over Image Sequences (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
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• Mathhay: An Automated Benchmark For Long-context Mathematical Reasoning In Llms (2024) • No Venue
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• M\(^2\)PT: Multimodal Prompt Tuning For Zero-shot Instruction Learning (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 19 citations
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• Lookahead Exploration With Neural Radiance Representation For Continuous Vision-language Navigation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
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• Llm-seg: Bridging Image Segmentation And Large Language Model Reasoning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 16 citations
  Junchi Wang, Lei Ke
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• Feb4rag: Evaluating Federated Search In The Context Of Retrieval Augmented Generation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 12 citations
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• Factuality Of Large Language Models: A Survey (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 13 citations
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• Emu3: Next-token Prediction Is All You Need (2024) • No Venue
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• Divide And Conquer: Language Models Can Plan And Self-correct For Compositional Text-to-image Generation (2024) • No Venue
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• Diffusion Priors For Dynamic View Synthesis From Monocular Videos (2024) • No Venue
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• Detoxifying Large Language Models Via Knowledge Editing (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
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• Charxiv: Charting Gaps In Realistic Chart Understanding In Multimodal Llms (2024) • No Venue
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• CCI3.0-HQ: A Large-scale Chinese Dataset Of High Quality Designed For Pre-training Large Language Models (2024) • No Venue
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• Aigv-assessor: Benchmarking And Evaluating The Perceptual Quality Of Text-to-video Generation With LMM (2024) • 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
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• Agent Workflow Memory (2024) • No Venue
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• Accelerating Clinical Evidence Synthesis With Large Language Models (2024) • npj Digital Medicine • 12 citations
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• Text Is MASS: Modeling As Stochastic Embedding For Text-video Retrieval (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 41 citations
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• Slowfast-llava: A Strong Training-free Baseline For Video Large Language Models (2024) • No Venue
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• Me Llama: Foundation Large Language Models For Medical Applications (2024) • Arxiv • 29 citations
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• Dyvo: Dynamic Vocabularies For Learned Sparse Retrieval With Entities (2024) • No Venue
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• Can Large Language Models Understand Context? (2024) • No Venue
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• Chatglm-math: Improving Math Problem-solving In Large Language Models With A Self-critique Pipeline (2024) • No Venue
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• Androidlab: Training And Systematic Benchmarking Of Android Autonomous Agents (2024) • No Venue
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• Can Large Language Models Write Parallel Code? (2024) • HPDC '24: 33rd International Symposium on High-Performance Parallel and Distributed Computing • 22 citations
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• Towards Interpretable Hate Speech Detection Using Large Language Model-extracted Rationales (2024) • Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024) • 14 citations
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• Preserving Multi-modal Capabilities Of Pre-trained Vlms For Improving Vision-linguistic Compositionality (2024) • No Venue
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• Exegpt: Constraint-aware Resource Scheduling For LLM Inference (2024) • ASPLOS '24: 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 • 25 citations
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• Enhancing Large Language Models For Clinical Decision Support By Incorporating Clinical Practice Guidelines (2024) • 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI) • 21 citations
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• JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark For Culture-aware Evaluation (2024) • No Venue
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• Optimizing Instructions And Demonstrations For Multi-stage Language Model Programs (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Opsahl-Ong et al.
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• Large Language Models As Planning Domain Generators (2024) • No Venue
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• Pluto And Charon: A Time And Memory Efficient Collaborative Edge AI Framework For Personal Llms Fine-tuning (2024) • ICPP '24: the 53rd International Conference on Parallel Processing • 12 citations
  Ouyang et al.
• Low-bit Quantization Favors Undertrained Llms: Scaling Laws For Quantized Llms With 100T Training Tokens (2024) • No Venue
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• Omnidocbench: Benchmarking Diverse PDF Document Parsing With Comprehensive Annotations (2024) • No Venue
  Ouyang et al.
• Voicepilot: Harnessing Llms As Speech Interfaces For Physically Assistive Robots (2024) • UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology • 21 citations
  Padmanabha et al.
• BALROG: Benchmarking Agentic LLM And VLM Reasoning On Games (2024) • No Venue
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• Gemini Goes To Med School: Exploring The Capabilities Of Multimodal Large Language Models On Medical Challenge Problems & Hallucinations (2024) • Proceedings of the 6th Clinical Natural Language Processing Workshop • 22 citations
  Ankit Pal, Malaikannan Sankarasubbu
• Training Software Engineering Agents And Verifiers With Swe-gym (2024) • No Venue
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• HOLMES: Hyper-relational Knowledge Graphs For Multi-hop Question Answering Using Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
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• Salute The Classic: Revisiting Challenges Of Machine Translation In The Age Of Large Language Models (2024) • Transactions of the Association for Computational Linguistics • 11 citations
  Pang et al.
• The Neglected Tails In Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Parashar et al.
• Neco: Improving Dinov2's Spatial Representations In 19 GPU Hours With Patch Neighbor Consistency (2024) • No Venue
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• Nemotron-4 15B Technical Report (2024) • No Venue
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• Logicbench: Towards Systematic Evaluation Of Logical Reasoning Ability Of Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
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• Steering Rectified Flow Models In The Vector Field For Controlled Image Generation (2024) • No Venue
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  Ajay Patel, Colin Raffel, Chris Callison-Burch
• Benchmarks And Metrics For Evaluations Of Code Generation: A Critical Review (2024) • 2024 IEEE International Conference on Artificial Intelligence Testing (AITest) • 15 citations
  Debalina Ghosh Paul, Hong Zhu, Ian Bayley
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• Graph Retrieval-augmented Generation: A Survey (2024) • ACM Transactions on Information Systems • 17 citations
  Peng et al.
• Jailbreaking And Mitigation Of Vulnerabilities In Large Language Models (2024) • Arxiv • 10 citations
  Peng et al.
• OWSM V3.1: Better And Faster Open Whisper-style Speech Models Based On E-branchformer (2024) • No Venue
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• Voicecraft: Zero-shot Speech Editing And Text-to-speech In The Wild (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 28 citations
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• Nanoflow: Towards Optimal Large Language Model Serving Throughput (2024) • No Venue
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• A Toolbox For Surfacing Health Equity Harms And Biases In Large Language Models (2024) • Nature Medicine • 57 citations
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  Huy Nhat Phan, Phong X. Nguyen, Nghi D. Q. Bui
• Revisiting Verilogeval: A Year Of Improvements In Large-language Models For Hardware Code Generation (2024) • ACM Transactions on Design Automation of Electronic Systems • 10 citations
  Pinckney et al.
• Telecom Language Models: Must They Be Large? (2024) • 2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) • 17 citations
  Nicola Piovesan, Antonio de Domenico, Fadhel Ayed
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  Polyak et al.
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• Large Language Models Meet User Interfaces: The Case Of Provisioning Feedback (2024) • Computers and Education: Artificial Intelligence • 19 citations
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• SPIQA: A Dataset For Multimodal Question Answering On Scientific Papers (2024) • No Venue
  Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan
• Gpt-generated Text Detection: Benchmark Dataset And Tensor-based Detection Method (2024) • WWW '24: The ACM Web Conference 2024 • 13 citations
  Zubair Qazi, William Shiao, Evangelos E. Papalexakis
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• Interactive Continual Learning: Fast And Slow Thinking (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Qi et al.
• SNIFFER: Multimodal Large Language Model For Explainable Out-of-context Misinformation Detection (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 45 citations
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• Minicpm-v: A GPT-4V Level MLLM On Your Phone (2024) • No Venue
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• The Finben: An Holistic Financial Benchmark For Large Language Models (2024) • No Venue
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• Improving Retrieval-augmented Generation In Medicine With Iterative Follow-up Questions (2024) • Biocomputing 2025 • 32 citations
  Xiong et al.
• Synthetic Test Collections For Retrieval Evaluation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 20 citations
  Rahmani et al.
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• Prism: A Framework For Decoupling And Assessing The Capabilities Of Vlms (2024) • No Venue
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• Benchmarking Agentic Workflow Generation (2024) • No Venue
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• Dreamhoi: Subject-driven Generation Of 3D Human-object Interactions With Diffusion Priors (2024) • No Venue
  Thomas Hanwen Zhu, Ruining Li, Tomas Jakab
• Xgen-videosyn-1: High-fidelity Text-to-video Synthesis With Compressed Representations (2024) • No Venue
  Qin et al.
• Infobench: Evaluating Instruction Following Ability In Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Qin et al.
• HGRN2: Gated Linear Rnns With State Expansion (2024) • No Venue
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• Unleashing The Power Of Data Tsunami: A Comprehensive Survey On Data Assessment And Selection For Instruction Tuning Of Language Models (2024) • No Venue
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• Cacheblend: Fast Large Language Model Serving For RAG With Cached Knowledge Fusion (2024) • EuroSys '25: Twentieth European Conference on Computer Systems • 17 citations
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• Layerwise Recurrent Router For Mixture-of-experts (2024) • No Venue
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• Freescale: Unleashing The Resolution Of Diffusion Models Via Tuning-free Scale Fusion (2024) • No Venue
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• Machine Unlearning Of Pre-trained Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
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• Benchmarking Retrieval-augmented Generation For Medicine (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 139 citations
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• Moba: A Two-level Agent System For Efficient Mobile Task Automation (2024) • No Venue
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• Tool Learning With Large Language Models: A Survey (2024) • Frontiers of Computer Science • 29 citations
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• Unified Text-to-image Generation And Retrieval (2024) • No Venue
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• Understanding The Weakness Of Large Language Model Agents Within A Complex Android Environment (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 13 citations
  Xing et al.
• Hellobench: Evaluating Long Text Generation Capabilities Of Large Language Models (2024) • No Venue
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• Language Models Can Self-lengthen To Generate Long Texts (2024) • No Venue
  Quan et al.
• Rag-fusion: A New Take On Retrieval-augmented Generation (2024) • International Journal on Natural Language Computing • 47 citations
  Zackary Rackauckas
• Evaluating Rag-fusion With Ragelo: An Automated Elo-based Framework (2024) • No Venue
  Zackary Rackauckas, Arthur Câmara, Jakub Zavrel
• Bringing Objects To Life: 4D Generation From 3D Objects (2024) • No Venue
  Rahamim et al.
• Breaking Bias, Building Bridges: Evaluation And Mitigation Of Social Biases In Llms Via Contact Hypothesis (2024) • Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society • 10 citations
  Raj et al.
• RALL-E: Robust Codec Language Modeling With Chain-of-thought Prompting For Text-to-speech Synthesis (2024) • No Venue
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• Towards Universal Soccer Video Understanding (2024) • No Venue
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• Evaluating D-MERIT Of Partial-annotation On Information Retrieval (2024) • No Venue
  Rassin et al.
• SAM 2: Segment Anything In Images And Videos (2024) • No Venue
  Ravi et al.
• Do Llms Understand Visual Anomalies? Uncovering Llm's Capabilities In Zero-shot Anomaly Detection (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 15 citations
  Zhu et al.
• Fake News Detection: Comparative Evaluation Of Bert-like Models And Large Language Models With Generative Ai-annotated Data (2024) • Knowledge and Information Systems • 26 citations
  Shaina Raza, Drai Paulen-Patterson, Chen Ding
• Think: Thinner Key Cache By Query-driven Pruning (2024) • No Venue
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• Large Language Model For Patent Concept Generation (2024) • Advanced Engineering Informatics • 13 citations
  Runtao Ren, Jian Ma, Jianxi Luo
• Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models And Vision Language Models (2024) • ICMR '24: International Conference on Multimedia Retrieval • 11 citations
  Zhu et al.
• EXAONE 3.5: Series Of Large Language Models For Real-world Use Cases (2024) • No Venue
  Research et al.
• Hackphyr: A Local Fine-tuned LLM Agent For Network Security Environments (2024) • No Venue
  Maria Rigaki, Carlos Catania, Sebastian Garcia
• Needle Threading: Can Llms Follow Threads Through Near-million-scale Haystacks? (2024) • No Venue
  Jonathan Roberts, Kai Han, Samuel Albanie
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• Associative Recurrent Memory Transformer (2024) • No Venue
  Rodkin et al.
• INCLUDE: Evaluating Multilingual Language Understanding With Regional Knowledge (2024) • No Venue
  Romanou et al.
• Large Language Models: A New Approach For Privacy Policy Analysis At Scale (2024) • Computing • 28 citations
  Rodriguez et al.
• Proactive Detection Of Voice Cloning With Localized Watermarking (2024) • No Venue
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• Travelplanner: A Benchmark For Real-world Planning With Language Agents (2024) • No Venue
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• Open-finllms: Open Multimodal Large Language Models For Financial Applications (2024) • No Venue
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• Noise-aware Training Of Layout-aware Language Models (2024) • No Venue
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• Univg: Towards Unified-modal Video Generation (2024) • No Venue
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• Osworld: Benchmarking Multimodal Agents For Open-ended Tasks In Real Computer Environments (2024) • No Venue
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• Grandmaster-level Chess Without Search (2024) • No Venue
  Ruoss et al.
• Xgen-mm-vid (blip-3-video): You Only Need 32 Tokens To Represent A Video Even In Vlms (2024) • No Venue
  Ryoo et al.
• LML: Language Model Learning A Dataset For Data-augmented Prediction (2024) • No Venue
  Praneeth Vadlapati
• Contextual: Evaluating Context-sensitive Text-rich Visual Reasoning In Large Multimodal Models (2024) • No Venue
  Wadhawan et al.
• Tnt-llm: Text Mining At Scale With Large Language Models (2024) • No Venue
  Wan et al.
• Foundational Autoraters: Taming Large Language Models For Better Automatic Evaluation (2024) • No Venue
  Vu et al.
• Switti: Designing Scale-wise Transformers For Text-to-image Synthesis (2024) • No Venue
  Voronov et al.
• Meltemi: The First Open Large Language Model For Greek (2024) • No Venue
  Voukoutis et al.
• Echoprime: A Multi-video View-informed Vision-language Model For Comprehensive Echocardiography Interpretation (2024) • No Venue
  Vukadinovic et al.
• Polos: Multimodal Metric Learning From Human Feedback For Image Captioning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Wada et al.
• Llamea: A Large Language Model Evolutionary Algorithm For Automatically Generating Metaheuristics (2024) • IEEE Transactions on Evolutionary Computation • 26 citations
  Niki van Stein, Thomas Bäck
• All Languages Matter: Evaluating Lmms On Culturally Diverse 100 Languages (2024) • No Venue
  Vayani et al.
• Replacing Judges With Juries: Evaluating LLM Generations With A Panel Of Diverse Models (2024) • No Venue
  Verga et al.
• Vhdl-eval: A Framework For Evaluating Large Language Models In VHDL Code Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 12 citations
  Vijayaraghavan et al.
• Introducing V0.5 Of The AI Safety Benchmark From Mlcommons (2024) • No Venue
  Vidgen et al.
• Hermes 3 Technical Report (2024) • No Venue
  Ryan Teknium, Jeffrey Quesnelle, Chen Guang
• Judging The Judges: Evaluating Alignment And Vulnerabilities In Llms-as-judges (2024) • No Venue
  Thakur et al.
• Mobillama: Towards Accurate And Lightweight Fully Transparent GPT (2024) • No Venue
  Thawakar et al.
• Evaluating Research Quality With Large Language Models: An Analysis Of Chatgpt's Effectiveness With Different Settings And Inputs (2024) • Journal of Data and Information Science • 18 citations
  Mike Thelwall
• Μlo: Compute-efficient Meta-generalization Of Learned Optimizers (2024) • No Venue
  Thérien et al.
• Debugbench: Evaluating Debugging Capability Of Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 28 citations
  Tian et al.
• Spreadsheetllm: Encoding Spreadsheets For Large Language Models (2024) • No Venue
  Tian et al.
• Scicode: A Research Coding Benchmark Curated By Scientists (2024) • No Venue
  Tian et al.
• Cambrian-1: A Fully Open, Vision-centric Exploration Of Multimodal Llms (2024) • No Venue
  Tong et al.
• Guide-and-rescale: Self-guidance Mechanism For Effective Tuning-free Real Image Editing (2024) • No Venue
  Titov et al.
• Facilitating Large Language Model Russian Adaptation With Learned Embedding Propagation (2024) • No Venue
  Mikhail Tikhomirov, Daniil Chernyshev
• GAVEL: Generating Games Via Evolution And Language Models (2024) • No Venue
  Todd et al.
• Triposr: Fast 3D Object Reconstruction From A Single Image (2024) • No Venue
  Tochilkin et al.
• Codejudge: Evaluating Code Generation With Large Language Models (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 24 citations
  Weixi Tong, Tianyi Zhang
• Appworld: A Controllable World Of Apps And People For Benchmarking Interactive Coding Agents (2024) • No Venue
  Trivedi et al.
• Two Tales Of Persona In Llms: A Survey Of Role-playing And Personalization (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 29 citations
  Tseng et al.
• Towards Conversational Diagnostic AI (2024) • No Venue
  Tu et al.
• Charactereval: A Chinese Benchmark For Role-playing Conversational Agent Evaluation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Tu et al.
• From Words To Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-context Examples (2024) • No Venue
  Vacareanu et al.
• Llms In Web Development: Evaluating Llm-generated PHP Code Unveiling Vulnerabilities And Limitations (2024) • Lecture Notes in Computer Science • 14 citations
  Rebeka Tóth, Tamas Bisztray, László Erdodi
• Bootstrapping Llm-based Task-oriented Dialogue Agents Via Self-talk (2024) • No Venue
  Ulmer et al.
• No "zero-shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance (2024) • No Venue
  Udandarao et al.
• UCFE: A User-centric Financial Expertise Benchmark For Large Language Models (2024) • No Venue
  Yang et al.
• Pllava : Parameter-free Llava Extension From Images To Videos For Video Dense Captioning (2024) • No Venue
  Xu et al.
• Pride And Prejudice: LLM Amplifies Self-bias In Self-refinement (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Xu et al.
• Aya Dataset: An Open-access Collection For Multilingual Instruction Tuning (2024) • No Venue
  Singh et al.
• Global MMLU: Understanding And Addressing Cultural And Linguistic Biases In Multilingual Evaluation (2024) • No Venue
  Singh et al.
• Rethinking Interpretability In The Era Of Large Language Models (2024) • No Venue
  Singh et al.
• Both Text And Images Leaked! A Systematic Analysis Of Multimodal LLM Data Contamination (2024) • No Venue
  Song et al.
• MARVEL-40M+: Multi-level Visual Elaboration For High-fidelity Text-to-3d Content Creation (2024) • No Venue
  Sinha et al.
• Retrieval-augmented Generation With Knowledge Graphs For Customer Service Question Answering (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 87 citations
  Xu et al.
• Safedecoding: Defending Against Jailbreak Attacks Via Safety-aware Decoding (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Xu et al.
• Aligning Large Language Models For Enhancing Psychiatric Interviews Through Symptom Delineation And Summarization: Pilot Study (2024) • JMIR Formative Research • 10 citations
  So et al.
• Scaling LLM Test-time Compute Optimally Can Be More Effective Than Scaling Model Parameters (2024) • No Venue
  Snell et al.
• Adaptive Memory Replay For Continual Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 13 citations
  Smith et al.
• A Large Encoder-decoder Family Of Foundation Models For Chemical Language (2024) • No Venue
  Soares et al.
• Agentgym: Evolving Large Language Model-based Agents Across Diverse Environments (2024) • No Venue
  Xi et al.
• BA-SAM: Scalable Bias-mode Attention Mask For Segment Anything Model (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Song et al.
• Thinking In Space: How Multimodal Large Language Models See, Remember, And Recall Spaces (2024) • No Venue
  Yang et al.
• Synthesizing Text-to-sql Data From Weak And Strong Llms (2024) • No Venue
  Yang et al.
• The Good, The Bad, And The Greedy: Evaluation Of Llms Should Not Ignore Non-determinism (2024) • No Venue
  Song et al.
• Cs-bench: A Comprehensive Benchmark For Large Language Models Towards Computer Science Mastery (2024) • No Venue
  Song et al.
• Finesure: Fine-grained Summarization Evaluation Using Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Song et al.
• Omnipred: Language Models As Universal Regressors (2024) • No Venue
  Song et al.
• Stronger Models Are NOT Stronger Teachers For Instruction Tuning (2024) • No Venue
  Xu et al.
• Turbo Sparse: Achieving LLM SOTA Performance With Minimal Activated Parameters (2024) • No Venue
  Song et al.
• Pedagogical Alignment Of Large Language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 13 citations
  Sonkar et al.
• Theagentcompany: Benchmarking LLM Agents On Consequential Real World Tasks (2024) • No Venue
  Xu et al.
• Unified Language-driven Zero-shot Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Yang et al.
• LLM Pruning And Distillation In Practice: The Minitron Approach (2024) • No Venue
  Sreenivas et al.
• PUB: A Pragmatics Understanding Benchmark For Assessing Llms' Pragmatics Capabilities (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Sravanthi et al.
• To Cot Or Not To Cot? Chain-of-thought Helps Mainly On Math And Symbolic Reasoning (2024) • No Venue
  Sprague et al.
• Evaluating Llms' Mathematical Reasoning In Financial Document Question Answering (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 15 citations
  Srivastava et al.
• A Reproducibility And Generalizability Study Of Large Language Models For Query Generation (2024) • SIGIR-AP 2024: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region • 11 citations
  Staudinger et al.
• Seccodeplt: A Unified Platform For Evaluating The Security Of Code Genai (2024) • No Venue
  Yang et al.
• Qwen2 Technical Report (2024) • No Venue
  Yang et al.
• Seed-story: Multimodal Long Story Generation With Large Language Model (2024) • No Venue
  Yang et al.
• Jina-embeddings-v3: Multilingual Embeddings With Task Lora (2024) • No Venue
  Sturua et al.
• Conflictbank: A Benchmark For Evaluating The Influence Of Knowledge Conflicts In LLM (2024) • No Venue
  Su et al.
• BRIGHT: A Realistic And Challenging Benchmark For Reasoning-intensive Retrieval (2024) • No Venue
  Su et al.
• Personalized Behavior-aware Transformer For Multi-behavior Sequential Recommendation (2024) • MM '23: The 31st ACM International Conference on Multimedia • 38 citations
  Su et al.
• Unsupervised Real-time Hallucination Detection Based On The Internal States Of Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 20 citations
  Su et al.
• Law Of Vision Representation In Mllms (2024) • No Venue
  Yang et al.
• Kg-rank: Enhancing Large Language Models For Medical QA With Knowledge Graphs And Ranking Techniques (2024) • Proceedings of the 23rd Workshop on Biomedical Natural Language Processing • 24 citations
  Yang et al.
• Matplotagent: Method And Evaluation For Llm-based Agentic Scientific Data Visualization (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Yang et al.
• Reuse Your Rewards: Reward Model Transfer For Zero-shot Cross-lingual Alignment (2024) • No Venue
  Wu et al.
• Direct-a-video: Customized Video Generation With User-directed Camera Movement And Object Motion (2024) • No Venue
  Yang et al.
• Reading Subtext: Evaluating Large Language Models On Short Story Summarization With Writers (2024) • Transactions of the Association for Computational Linguistics • 10 citations
  Subbiah et al.
• Bitsfusion: 1.99 Bits Weight Quantization Of Diffusion Model (2024) • No Venue
  Sui et al.
• Amuro & Char: Analyzing The Relationship Between Pre-training And Fine-tuning Of Large Language Models (2024) • No Venue
  Kaiser Sun, Mark Dredze
• 3D Question Answering For City Scene Understanding (2024) • No Venue
  Sun et al.
• LAMBDA: A Large Model Based Data Agent (2024) • No Venue
  Sun et al.
• EVA-CLIP-18B: Scaling CLIP To 18 Billion Parameters (2024) • No Venue
  Sun et al.
• Building Better AI Agents: A Provocation On The Utilisation Of Persona In Llm-based Conversational Agents (2024) • CUI '24: ACM Conversational User Interfaces 2024 • 32 citations
  Guangzhi Sun, Xiao Zhan, Jose Such
• Hunyuan-large: An Open-source Moe Model With 52 Billion Activated Parameters By Tencent (2024) • No Venue
  Sun et al.
• Parrot: Multilingual Visual Instruction Tuning (2024) • No Venue
  Sun et al.
• T2v-compbench: A Comprehensive Benchmark For Compositional Text-to-video Generation (2024) • No Venue
  Sun et al.
• Shadowkv: KV Cache In Shadows For High-throughput Long-context LLM Inference (2024) • No Venue
  Sun et al.
• Source Code Summarization In The Era Of Large Language Models (2024) • 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE) • 23 citations
  Sun et al.
• Trustllm: Trustworthiness In Large Language Models (2024) • No Venue
  Sun et al.
• When Neural Code Completion Models Size Up The Situation: Attaining Cheaper And Faster Completion Through Dynamic Model Inference (2024) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 13 citations
  Sun et al.
• Do Large Language Models Latently Perform Multi-hop Reasoning? (2024) • No Venue
  Yang et al.
• Fine-tuning Large Language Models With Human-inspired Learning Strategies In Medical Question Answering (2024) • No Venue
  Yang et al.
• Evaluating And Aligning Codellms On Human Preference (2024) • No Venue
  Yang et al.
• Drhouse: An Llm-empowered Diagnostic Reasoning System Through Harnessing Outcomes From Sensor Data And Expert Knowledge (2024) • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies • 36 citations
  Yang et al.
• Towards Open-ended Visual Quality Comparison (2024) • No Venue
  Wu et al.
• AUTOHALLUSION: Automatic Generation Of Hallucination Benchmarks For Vision-language Models (2024) • No Venue
  Wu et al.
• Followir: Evaluating And Teaching Information Retrieval Models To Follow Instructions (2024) • No Venue
  Weller et al.
• Llavaolmobitnet1b: Ternary LLM Goes Multimodal! (2024) • No Venue
  Jainaveen Sundaram, Ravishankar Iyer
• Loongserve: Efficiently Serving Long-context Large Language Models With Elastic Sequence Parallelism (2024) • SOSP '24: ACM SIGOPS 30th Symposium on Operating Systems Principles • 24 citations
  Wu et al.
• Os-copilot: Towards Generalist Computer Agents With Self-improvement (2024) • No Venue
  Wu et al.
• Judgebench: A Benchmark For Evaluating Llm-based Judges (2024) • No Venue
  Tan et al.
• Diasynth -- Synthetic Dialogue Generation Framework (2024) • No Venue
  Suresh et al.
• Videogamebunny: Towards Vision Assistants For Video Games (2024) • No Venue
  Mohammad Reza Taesiri, Cor-Paul Bezemer
• Spinning The Golden Thread: Benchmarking Long-form Generation In Language Models (2024) • No Venue
  Wu et al.
• AI Literacy For All: Adjustable Interdisciplinary Socio-technical Curriculum (2024) • 2024 IEEE Frontiers in Education Conference (FIE) • 17 citations
  Sri Yash Tadimalla, Mary Lou Maher
• Reft: Representation Finetuning For Language Models (2024) • No Venue
  Wu et al.
• Personalized Multimodal Large Language Models: A Survey (2024) • No Venue
  Wu et al.
• Multimodal Misinformation Detection Using Large Vision-language Models (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 14 citations
  Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth
• Plot2code: A Comprehensive Benchmark For Evaluating Multi-modal Large Language Models In Code Generation From Scientific Plots (2024) • No Venue
  Wu et al.
• Retrieval-augmented Generation For Natural Language Processing: A Survey (2024) • Arxiv • 14 citations
  Wu et al.
• A Framework For Human Evaluation Of Large Language Models In Healthcare Derived From Literature Review (2024) • npj Digital Medicine • 172 citations
  Tam et al.
• Harnessing The Power Of Mllms For Transferable Text-to-image Person Reid (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 40 citations
  Tan et al.
• Longvideobench: A Benchmark For Long-context Interleaved Video-language Understanding (2024) • No Venue
  Wu et al.
• Longmemeval: Benchmarking Chat Assistants On Long-term Interactive Memory (2024) • No Venue
  Wu et al.
• Motionbooth: Motion-aware Customized Text-to-video Generation (2024) • No Venue
  Wu et al.
• Simple, Efficient And Scalable Structure-aware Adapter Boosts Protein Language Models (2024) • Journal of Chemical Information and Modeling • 16 citations
  Tan et al.
• Mimir: Improving Video Diffusion Models For Precise Text Understanding (2024) • No Venue
  Tan et al.
• Ominicontrol: Minimal And Universal Control For Diffusion Transformer (2024) • No Venue
  Tan et al.
• Vidgen-1m: A Large-scale Dataset For Text-to-video Generation (2024) • No Venue
  Tan et al.
• A Unified View Of Delta Parameter Editing In Post-trained Large-scale Models (2024) • No Venue
  Tang et al.
• Inversecoder: Unleashing The Power Of Instruction-tuned Code Llms With Inverse-instruct (2024) • No Venue
  Wu et al.
• Tofueval: Evaluating Hallucinations Of Llms On Topic-focused Dialogue Summarization (2024) • No Venue
  Tang et al.
• Minigpt-3d: Efficiently Aligning 3D Point Clouds With Large Language Models Using 2D Priors (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 14 citations
  Tang et al.
• L-citeeval: Do Long-context Models Truly Leverage Context For Responding? (2024) • No Venue
  Tang et al.
• Higpt: Heterogeneous Graph Language Model (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 30 citations
  Tang et al.
• Minicheck: Efficient Fact-checking Of Llms On Grounding Documents (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Liyan Tang, Philippe Laban, Greg Durrett
• LOGO -- Long Context Alignment Via Efficient Preference Optimization (2024) • No Venue
  Tang et al.
• Mathscale: Scaling Instruction Tuning For Mathematical Reasoning (2024) • No Venue
  Tang et al.
• Textsquare: Scaling Up Text-centric Visual Instruction Tuning (2024) • No Venue
  Tang et al.
• Mvdiffusion++: A Dense High-resolution Multi-view Diffusion Model For Single Or Sparse-view 3D Object Reconstruction (2024) • No Venue
  Tang et al.
• Rethinking Optimization And Architecture For Tiny Language Models (2024) • No Venue
  Tang et al.
• Diffsensei: Bridging Multi-modal Llms And Diffusion Models For Customized Manga Generation (2024) • No Venue
  Wu et al.
• GEB-1.3B: Open Lightweight Large Language Model (2024) • No Venue
  Wu et al.
• Gpt-4v(ision) Is A Human-aligned Evaluator For Text-to-3d Generation (2024) • No Venue
  Wu et al.
• Youtube-sl-25: A Large-scale, Open-domain Multilingual Sign Language Parallel Corpus (2024) • No Venue
  Garrett Tanzer, Biao Zhang
• Scaling Laws With Vocabulary: Larger Models Deserve Larger Vocabularies (2024) • No Venue
  Tao et al.
• Octo: An Open-source Generalist Robot Policy (2024) • No Venue
  Team et al.
• Chameleon: Mixed-modal Early-fusion Foundation Models (2024) • No Venue
  Chameleon Team
• Learnlm: Improving Gemini For Learning (2024) • No Venue
  Team et al.
• Political Compass Or Spinning Arrow? Towards More Meaningful Evaluations For Values And Opinions In Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Röttger et al.
• Capabilities Of Gemini Models In Medicine (2024) • No Venue
  Saab et al.
• Gradsafe: Detecting Jailbreak Prompts For Llms Via Safety-critical Gradient Analysis (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Xie et al.
• Emobench: Evaluating The Emotional Intelligence Of Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Sabour et al.
• A Preliminary Study Of O1 In Medicine: Are We Closer To An AI Doctor? (2024) • No Venue
  Xie et al.
• How To Train Data-efficient Llms (2024) • No Venue
  Sachdeva et al.
• Tails Tell Tales: Chapter-wide Manga Transcriptions With Character Names (2024) • No Venue
  Ragav Sachdeva, Gyungin Shin, Andrew Zisserman
• Data Contamination Report From The 2024 CONDA Shared Task (2024) • No Venue
  Sainz et al.
• Viper: Visual Personalization Of Generative Models Via Individual Preference Learning (2024) • No Venue
  Salehi et al.
• Evaluating Retrieval Quality In Retrieval-augmented Generation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 94 citations
  Alireza Salemi, Hamed Zamani
• Pre-training Small Base Lms With Fewer Tokens (2024) • No Venue
  Sunny Sanyal, Sujay Sanghavi, Alexandros G. Dimakis
• RAPTOR: Recursive Abstractive Processing For Tree-organized Retrieval (2024) • No Venue
  Sarthi et al.
• Can Llms Master Math? Investigating Large Language Models On Math Stack Exchange (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
  Satpute et al.
• Automated Educational Question Generation At Different Bloom's Skill Levels Using Large Language Models: Strategies And Evaluation (2024) • Lecture Notes in Computer Science • 27 citations
  Nicy Scaria, Suma Dharani Chenna, Deepak Subramani
• Improving The Validity Of Automatically Generated Feedback Via Reinforcement Learning (2024) • Lecture Notes in Computer Science • 15 citations
  Scarlatos et al.
• Mpirigen: MPI Code Generation Through Domain-specific Language Models (2024) • No Venue
  Schneider et al.
• Ruffle&riley: Insights From Designing And Evaluating A Large Language Model-based Conversational Tutoring System (2024) • Lecture Notes in Computer Science • 23 citations
  Schmucker et al.
• How Novice Programmers Use And Experience Chatgpt When Solving Programming Exercises In An Introductory Course (2024) • 2024 IEEE Frontiers in Education Conference (FIE) • 22 citations
  Andreas Scholl, Natalie Kiesler
• Truth Or Mirage? Towards End-to-end Factuality Evaluation With LLM-OASIS (2024) • No Venue
  Scirè et al.
• Healme: Harnessing Cognitive Reframing In Large Language Models For Psychotherapy (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Xiao et al.
• Livexiv -- A Multi-modal Live Benchmark Based On Arxiv Papers Content (2024) • No Venue
  Shabtay et al.
• Posterllama: Bridging Design Ability Of Langauge Model To Contents-aware Layout Generation (2024) • Lecture Notes in Computer Science • 10 citations
  Jaejung Seol, Seojun Kim, Jaejun Yoo
• Can AI Grade Your Essays? A Comparative Analysis Of Large Language Models And Teacher Ratings In Multidimensional Essay Scoring (2024) • LAK '25: The 15th International Learning Analytics and Knowledge Conference • 19 citations
  Seßler et al.
• Evaluation Of LLM Chatbots For Osint-based Cyber Threat Awareness (2024) • Expert Systems with Applications • 25 citations
  Samaneh Shafee, Alysson Bessani, Pedro M. Ferreira
• Ai-augmented Brainwriting: Investigating The Use Of Llms In Group Ideation (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 73 citations
  Shaer et al.
• Putting Gpt-4o To The Sword: A Comprehensive Evaluation Of Language, Vision, Speech, And Multimodal Proficiency (2024) • Arxiv • 26 citations
  Shahriar et al.
• Inserf: Text-driven Generative Object Insertion In Neural 3D Scenes (2024) • No Venue
  Shahbazi et al.
• Atlas-chat: Adapting Large Language Models For Low-resource Moroccan Arabic Dialect (2024) • No Venue
  Shang et al.
• Who Validates The Validators? Aligning Llm-assisted Evaluation Of LLM Outputs With Human Preferences (2024) • UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology • 99 citations
  Shankar et al.
• TOMATO: Assessing Visual Temporal Reasoning Capabilities In Multimodal Foundation Models (2024) • No Venue
  Shangguan et al.
• Densing Law Of Llms (2024) • No Venue
  Xiao et al.
• GLEE: A Unified Framework And Benchmark For Language-based Economic Environments (2024) • No Venue
  Shapira et al.
• A Comprehensive Survey Of Large Language Models And Multimodal Large Language Models In Medicine (2024) • Information Fusion • 40 citations
  Xiao et al.
• Longvu: Spatiotemporal Adaptive Compression For Long Video-language Understanding (2024) • No Venue
  Shen et al.
• Scaling Laws For Linear Complexity Language Models (2024) • No Venue
  Shen et al.
• Small Llms Are Weak Tool Learners: A Multi-llm Agent (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 17 citations
  Shen et al.
• Understanding The Capabilities And Limitations Of Large Language Models For Cultural Commonsense (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Shen et al.
• Faithful Logical Reasoning Via Symbolic Chain-of-thought (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Xu et al.
• Lora.rar: Learning To Merge Loras Via Hypernetworks For Subject-style Conditioned Image Generation (2024) • No Venue
  Shenaj et al.
• Lumos : Empowering Multimodal Llms With Scene Text Recognition (2024) • No Venue
  Shenoy et al.
• Generation Of Asset Administration Shell With Large Language Model Agents: Toward Semantic Interoperability In Digital Twins In The Context Of Industry 4.0 (2024) • IEEE Access • 55 citations
  Xia et al.
• Sportqa: A Benchmark For Sports Understanding In Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 13 citations
  Xia et al.
• Yell At Your Robot: Improving On-the-fly From Language Corrections (2024) • Robotics: Science and Systems 2024 • 28 citations
  Shi et al.
• Ask-eda: A Design Assistant Empowered By LLM, Hybrid RAG And Abbreviation De-hallucination (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 16 citations
  Shi et al.
• A Survey On Employing Large Language Models For Text-to-sql Tasks (2024) • ACM Computing Surveys • 21 citations
  Shi et al.
• Discovering The Gems In Early Layers: Accelerating Long-context Llms With 1000x Input Token Reduction (2024) • No Venue
  Shi et al.
• Chartmimic: Evaluating Lmm's Cross-modal Reasoning Capability Via Chart-to-code Generation (2024) • No Venue
  Shi et al.
• Continual Learning Of Large Language Models: A Comprehensive Survey (2024) • ACM Computing Surveys • 23 citations
  Shi et al.
• Optimization-based Prompt Injection Attack To Llm-as-a-judge (2024) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 27 citations
  Shi et al.
• MMIE: Massive Multimodal Interleaved Comprehension Benchmark For Large Vision-language Models (2024) • No Venue
  Xia et al.
• Compositional 3d-aware Video Generation With LLM Director (2024) • No Venue
  Zhu et al.
• Understanding The Performance And Estimating The Cost Of LLM Fine-tuning (2024) • 2024 IEEE International Symposium on Workload Characterization (IISWC) • 35 citations
  Xia et al.
• Extranerf: Visibility-aware View Extrapolation Of Neural Radiance Fields With Diffusion Models (2024) • No Venue
  Shih et al.
• Medconceptsqa: Open Source Medical Concepts QA Benchmark (2024) • Computers in Biology and Medicine • 10 citations
  Ofir Ben Shoham, Nadav Rappoport
• From Paper To Card: Transforming Design Implications With Generative AI (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 18 citations
  Donghoon Shin, Lucy Lu Wang, Gary Hsieh
• Adapting Llms To Hebrew: Unveiling Dictalm 2.0 With Enhanced Vocabulary And Instruction Capabilities (2024) • No Venue
  Shmidman et al.
• Agentless: Demystifying Llm-based Software Engineering Agents (2024) • No Venue
  Xia et al.
• Lawllm: Law Large Language Model For The US Legal System (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 26 citations
  Shu et al.
• Can Llms Generate Novel Research Ideas? A Large-scale Human Study With 100+ NLP Researchers (2024) • No Venue
  Chenglei Si, Diyi Yang, Tatsunori Hashimoto
• Design2code: How Far Are We From Automating Front-end Engineering? (2024) • No Venue
  Si et al.
• Attention Overflow: Language Model Input Blur During Long-context Missing Items Recommendation (2024) • No Venue
  Damien Sileo
• TIP-I2V: A Million-scale Real Text And Image Prompt Dataset For Image-to-video Generation (2024) • No Venue
  Wenhao Wang, Yi Yang
• Planetarium: A Rigorous Benchmark For Translating Text To Structured Planning Languages (2024) • No Venue
  Zuo et al.
• Dynamath: A Dynamic Visual Benchmark For Evaluating Mathematical Reasoning Robustness Of Vision Language Models (2024) • No Venue
  Zou et al.
• A Dataset And Benchmark For Hospital Course Summarization With Adapted Large Language Models (2024) • Journal of the American Medical Informatics Association • 17 citations
  Aali et al.
• Gpt-4o System Card (2024) • No Venue
  Openai et al.
• Deepseek LLM: Scaling Open-source Language Models With Longtermism (2024) • No Venue
  Deepseek-Ai et al.
• Openai O1 System Card (2024) • No Venue
  Openai et al.
• Qwen2.5 Technical Report (2024) • No Venue
  Qwen et al.
• Llm-detectaive: A Tool For Fine-grained Machine-generated Text Detection (2024) • No Venue
  Abassy et al.
• Knowledge-infused Llm-powered Conversational Health Agent: A Case Study For Diabetes Patients (2024) • 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) • 13 citations
  Abbasian et al.
• Arabicaqa: A Comprehensive Dataset For Arabic Question Answering (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 17 citations
  Abdallah et al.
• Granite-function Calling Model: Introducing Function Calling Abilities Via Multi-task Learning Of Granular Tasks (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track • 12 citations
  Abdelaziz et al.
• Named Clinical Entity Recognition Benchmark (2024) • No Venue
  Abdul et al.
• Phi-3 Technical Report: A Highly Capable Language Model Locally On Your Phone (2024) • No Venue
  Abdin et al.
• Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach (2024) • No Venue
  Aboagye et al.
• MAGID: An Automated Pipeline For Generating Synthetic Multi-modal Datasets (2024) • No Venue
  Aboutalebi et al.
• Visfocus: Prompt-guided Vision Encoders For Ocr-free Dense Document Understanding (2024) • No Venue
  Abramovich et al.
• Exploring The Efficacy Of Large Language Models In Summarizing Mental Health Counseling Sessions: A Benchmark Study (2024) • JMIR Mental Health • 20 citations
  Adhikary et al.
• Next-generation Phishing: How LLM Agents Empower Cyber Attackers (2024) • 2024 IEEE International Conference on Big Data (BigData) • 16 citations
  Afane et al.
• Agent S: An Open Agentic Framework That Uses Computers Like A Human (2024) • No Venue
  Agashe et al.
• Copilot Evaluation Harness: Evaluating Llm-guided Software Programming (2024) • No Venue
  Agarwal et al.
• Pixtral 12B (2024) • No Venue
  Agrawal et al.
• Attributions Toward Artificial Agents In A Modified Moral Turing Test (2024) • Scientific Reports • 23 citations
  Aharoni et al.
• Linguistic Intelligence In Large Language Models For Telecommunications (2024) • 2024 IEEE International Conference on Communications Workshops (ICC Workshops) • 16 citations
  Ahmed et al.
• Can Llms Replace Manual Annotation Of Software Engineering Artifacts? (2024) • 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR) • 19 citations
  Ahmed et al.
• Syncvsr: Data-efficient Visual Speech Recognition With End-to-end Crossmodal Audio Token Synchronization (2024) • Interspeech 2024 • 11 citations
  Ahn et al.
• Large Language Models For Mathematical Reasoning: Progresses And Challenges (2024) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop • 40 citations
  Ahn et al.
• Yi-lightning Technical Report (2024) • No Venue
  Ai et al.
• Examining The Robustness Of LLM Evaluation To The Distributional Assumptions Of Benchmarks (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Ailem et al.
• Evolutionary Optimization Of Model Merging Recipes (2024) • No Venue
  Akiba et al.
• Ctibench: A Benchmark For Evaluating Llms In Cyber Threat Intelligence (2024) • Advances in Neural Information Processing Systems 37 • 11 citations
  Alam et al.
• Distractor Generation In Multiple-choice Tasks: A Survey Of Methods, Datasets, And Evaluation (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 13 citations
  Alhazmi et al.
• Xlstmtime : Long-term Time Series Forecasting With Xlstm (2024) • AI • 40 citations
  Musleh Alharthi, Ausif Mahmood
• TREC Ikat 2023: A Test Collection For Evaluating Conversational And Interactive Knowledge Assistants (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
  Aliannejadi et al.
• Rtl-repo: A Benchmark For Evaluating Llms On Large-scale RTL Design Projects (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 11 citations
  Ahmed Allam, Mohamed Shalan
• When Benchmarks Are Targets: Revealing The Sensitivity Of Large Language Model Leaderboards (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Alzahrani et al.
• Unibench: Visual Reasoning Requires Rethinking Vision-language Beyond Scaling (2024) • No Venue
  Al-Tahan et al.
• Dallah: A Dialect-aware Multimodal Large Language Model For Arabic (2024) • No Venue
  Fakhraddin Alwajih, Gagan Bhatia, Muhammad Abdul-Mageed
• Llana: Large Language And Nerf Assistant (2024) • No Venue
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• Make Your LLM Fully Utilize The Context (2024) • No Venue
  An et al.
• Seed-tts: A Family Of High-quality Versatile Speech Generation Models (2024) • No Venue
  Anastassiou et al.
• Covla: Comprehensive Vision-language-action Dataset For Autonomous Driving (2024) • 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 10 citations
  Arai et al.
• Scaling Up Video Summarization Pretraining With Large Language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Argaw et al.
• The Silicon Ceiling: Auditing Gpt's Race And Gender Biases In Hiring (2024) • EAAMO '24: Equity and Access in Algorithms, Mechanisms, and Optimization • 24 citations
  Armstrong et al.
• Developing Chemdfm As A Large Language Foundation Model For Chemistry (2024) • Cell Reports Physical Science • 18 citations
  Zhao et al.
• Aya 23: Open Weight Releases To Further Multilingual Progress (2024) • No Venue
  Aryabumi et al.
• Openscholar: Synthesizing Scientific Literature With Retrieval-augmented Lms (2024) • No Venue
  Asai et al.
• Llama Beyond English: An Empirical Study On Language Capability Transfer (2024) • No Venue
  Zhao et al.
• Agrogpt: Efficient Agricultural Vision-language Model With Expert Tuning (2024) • 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 11 citations
  Awais et al.
• ITACLIP: Boosting Training-free Semantic Segmentation With Image, Text, And Architectural Enhancements (2024) • No Venue
  Aydın et al.
• Urbench: A Comprehensive Benchmark For Evaluating Large Multimodal Models In Multi-view Urban Scenarios (2024) • No Venue
  Zhou et al.
• Assessing And Understanding Creativity In Large Language Models (2024) • Machine Intelligence Research • 13 citations
  Zhao et al.
• Bento: Benchmark Task Reduction With In-context Transferability (2024) • No Venue
  Zhao et al.
• Researchagent: Iterative Research Idea Generation Over Scientific Literature With Large Language Models (2024) • Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Baek et al.
• Longagent: Scaling Language Models To 128k Context Through Multi-agent Collaboration (2024) • No Venue
  Zhao et al.
• Let's Go Shopping (LGS) -- Web-scale Image-text Dataset For Visual Concept Understanding (2024) • No Venue
  Bai et al.
• Mt-bench-101: A Fine-grained Benchmark For Evaluating Large Language Models In Multi-turn Dialogues (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 25 citations
  Bai et al.
• Longwriter: Unleashing 10,000+ Word Generation From Long Context Llms (2024) • No Venue
  Bai et al.
• Longalign: A Recipe For Long Context Alignment Of Large Language Models (2024) • No Venue
  Bai et al.
• Longbench V2: Towards Deeper Understanding And Reasoning On Realistic Long-context Multitasks (2024) • No Venue
  Bai et al.
• One Token To Seg Them All: Language Instructed Reasoning Segmentation In Videos (2024) • No Venue
  Bai et al.
• Mechanistic Permutability: Match Features Across Layers (2024) • No Venue
  Nikita Balagansky, Ian Maksimov, Daniil Gavrilov
• Leak, Cheat, Repeat: Data Contamination And Evaluation Malpractices In Closed-source Llms (2024) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 25 citations
  Balloccu et al.
• Unitxt: Flexible, Shareable And Reusable Data Preparation And Evaluation For Generative AI (2024) • No Venue
  Bandel et al.
• Benchmarking Multi-image Understanding In Vision And Language Models: Perception, Knowledge, Reasoning, And Multi-hop Reasoning (2024) • No Venue
  Zhao et al.
• Breaking Boundaries: Investigating The Effects Of Model Editing On Cross-linguistic Performance (2024) • No Venue
  Banerjee et al.
• Safeinfer: Context Adaptive Decoding Time Safety Alignment For Large Language Models (2024) • No Venue
  Banerjee et al.
• Fully Open Source Moxin-7b Technical Report (2024) • No Venue
  Zhao et al.
• Knowledge Transfer Across Modalities With Natural Language Supervision (2024) • No Venue
  Barbano et al.
• Lumiere: A Space-time Diffusion Model For Video Generation (2024) • No Venue
  Bar-Tal et al.
• Ultraedit: Instruction-based Fine-grained Image Editing At Scale (2024) • No Venue
  Zhao et al.
• INDUS: Effective And Efficient Language Models For Scientific Applications (2024) • No Venue
  Bhattacharjee et al.
• Iris: An Ai-driven Virtual Tutor For Computer Science Education (2024) • ITiCSE 2024: Innovation and Technology in Computer Science Education • 45 citations
  Patrick Bassner, Eduard Frankford, Stephan Krusche
• API-BLEND: A Comprehensive Corpora For Training And Benchmarking API Llms (2024) • No Venue
  Basu et al.
• Boosting Healthcare Llms Through Retrieved Context (2024) • No Venue
  Jordi Bayarri-Planas, Ashwin Kumar Gururajan, Dario Garcia-Gasulla
• Llms Instead Of Human Judges? A Large Scale Empirical Study Across 20 NLP Evaluation Tasks (2024) • Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 13 citations
  Bavaresco et al.
• Mg-llava: Towards Multi-granularity Visual Instruction Tuning (2024) • No Venue
  Zhao et al.
• Graph Mamba: Towards Learning On Graphs With State Space Models (2024) • No Venue
  Ali Behrouz, Farnoosh Hashemi
• Lora Land: 310 Fine-tuned Llms That Rival GPT-4, A Technical Report (2024) • No Venue
  Zhao et al.
• Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning With Checklist (2024) • No Venue
  Zhou et al.
• Word Sense Linking: Disambiguating Outside The Sandbox (2024) • No Venue
  Bejgu et al.
• Genomic Language Models: Opportunities And Challenges (2024) • Trends in Genetics • 65 citations
  Benegas et al.
• SUTRA: Scalable Multilingual Language Model Architecture (2024) • No Venue
  Bendale et al.
• SWIFT:A Scalable Lightweight Infrastructure For Fine-tuning (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Zhao et al.
• Steering Knowledge Selection Behaviours In Llms Via Sae-based Representation Engineering (2024) • No Venue
  Zhao et al.
• Fintral: A Family Of GPT-4 Level Multimodal Financial Large Language Models (2024) • No Venue
  Bhatia et al.
• Wukong: Towards A Scaling Law For Large-scale Recommendation (2024) • No Venue
  Zhang et al.
• Make It Count: Text-to-image Generation With An Accurate Number Of Objects (2024) • No Venue
  Binyamin et al.
• Visual Riddles: A Commonsense And World Knowledge Challenge For Large Vision And Language Models (2024) • No Venue
  Bitton-Guetta et al.
• Visual In-context Learning For Large Vision-language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 17 citations
  Zhou et al.
• Evaluating Llms For Hardware Design And Test (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 15 citations
  Blocklove et al.
• Digital Forgetting In Large Language Models: A Survey Of Unlearning Methods (2024) • Artificial Intelligence Review • 14 citations
  Blanco-Justicia et al.
• Long Code Arena: A Set Of Benchmarks For Long-context Code Models (2024) • No Venue
  Bogomolov et al.
• Biomedlm: A 2.7B Parameter Language Model Trained On Biomedical Text (2024) • No Venue
  Bolton et al.
• Windows Agent Arena: Evaluating Multi-modal OS Agents At Scale (2024) • No Venue
  Bonatti et al.
• Evaluating Multiview Object Consistency In Humans And Image Models (2024) • No Venue
  Bonnen et al.
• In Case You Missed It: ARC 'challenge' Is Not That Challenging (2024) • No Venue
  Łukasz Borchmann
• Could Chatgpt Get An Engineering Degree? Evaluating Higher Education Vulnerability To AI Assistants (2024) • Proceedings of the National Academy of Sciences • 20 citations
  Borges et al.
• Large Language Model (LLM) For Telecommunications: A Comprehensive Survey On Principles, Key Techniques, And Opportunities (2024) • IEEE Communications Surveys & Tutorials • 118 citations
  Zhou et al.
• Controlling Emotion In Text-to-speech With Natural Language Prompts (2024) • Interspeech 2024 • 12 citations
  Thomas Bott, Florian Lux, Ngoc Thang Vu
• You Name It, I Run It: An LLM Agent To Execute Tests Of Arbitrary Projects (2024) • Proceedings of the ACM on Software Engineering • 10 citations
  Islem Bouzenia, Michael Pradel
• Repairagent: An Autonomous, Llm-based Agent For Program Repair (2024) • 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE) • 36 citations
  Islem Bouzenia, Premkumar Devanbu, Michael Pradel
• Multimodal Situational Safety (2024) • No Venue
  Zhou et al.
• Rulearena: A Benchmark For Rule-guided Reasoning With Llms In Real-world Scenarios (2024) • No Venue
  Zhou et al.
• Large Language Models "ad Referendum": How Good Are They At Machine Translation In The Legal Domain? (2024) • MonTI. Monografías de Traducción e Interpretación • 12 citations
  Vicent Briva-Iglesias, Joao Lucas Cavalheiro Camargo, Gokhan Dogru
• Broadway: Boost Your Text-to-video Generation Model In A Training-free Way (2024) • No Venue
  Bu et al.
• Roadmap Towards Superhuman Speech Understanding Using Large Language Models (2024) • No Venue
  Bu et al.
• Img2loc: Revisiting Image Geolocalization Using Multi-modality Foundation Models And Image-based Retrieval-augmented Generation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
  Zhou et al.
• The Revolution Of Multimodal Large Language Models: A Survey (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 43 citations
  Caffagni et al.
• Llmtimesmapreduce: Simplified Long-sequence Processing Using Large Language Models (2024) • No Venue
  Zhou et al.
• Evaluating GPT-4 With Vision On Detection Of Radiological Findings On Chest Radiographs (2024) • Radiology • 44 citations
  Zhou et al.
• Codeit: Self-improving Language Models With Prioritized Hindsight Replay (2024) • No Venue
  Butt et al.
• Proposer-agent-evaluator(pae): Autonomous Skill Discovery For Foundation Model Internet Agents (2024) • No Venue
  Zhou et al.
• Holodreamer: Holistic 3D Panoramic World Generation From Text Descriptions (2024) • No Venue
  Zhou et al.
• Ditctrl: Exploring Attention Control In Multi-modal Diffusion Transformer For Tuning-free Multi-prompt Longer Video Generation (2024) • No Venue
  Cai et al.
• Diffusion Self-distillation For Zero-shot Customized Image Generation (2024) • No Venue
  Cai et al.
• A Survey On Mixture Of Experts In Large Language Models (2024) • IEEE Transactions on Knowledge and Data Engineering • 36 citations
  Cai et al.
• Read-me: Refactorizing Llms As Router-decoupled Mixture Of Experts With System Co-design (2024) • No Venue
  Cai et al.
• Internlm2 Technical Report (2024) • No Venue
  Cai et al.
• On The Compositional Generalization Of Multimodal Llms For Medical Imaging (2024) • No Venue
  Cai et al.
• Temporalbench: Benchmarking Fine-grained Temporal Understanding For Multimodal Video Models (2024) • No Venue
  Cai et al.
• Uni-smart: Universal Science Multimodal Analysis And Research Transformer (2024) • No Venue
  Cai et al.
• Benchx: A Unified Benchmark Framework For Medical Vision-language Pretraining On Chest X-rays (2024) • No Venue
  Zhou et al.
• GATE Opening: A Comprehensive Benchmark For Judging Open-ended Interleaved Image-text Generation (2024) • No Venue
  Zhou et al.
• Metacognitive Retrieval-augmented Large Language Models (2024) • WWW '24: The ACM Web Conference 2024 • 22 citations
  Zhou et al.
• Compassjudger-1: All-in-one Judge Model Helps Model Evaluation And Evolution (2024) • No Venue
  Cao et al.
• Structeval: Deepen And Broaden Large Language Model Assessment Via Structured Evaluation (2024) • No Venue
  Cao et al.
• Narrative Action Evaluation With Prompt-guided Multimodal Interaction (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Zhang et al.
• Enhancing Recommendation Diversity By Re-ranking With Large Language Models (2024) • ACM Transactions on Recommender Systems • 25 citations
  Diego Carraro, Derek Bridge
• PERSONA: A Reproducible Testbed For Pluralistic Alignment (2024) • No Venue
  Castricato et al.
• Fakeinversion: Learning To Detect Images From Unseen Text-to-image Models By Inverting Stable Diffusion (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 21 citations
  Cazenavette et al.
• Coffee-gym: An Environment For Evaluating And Improving Natural Language Feedback On Erroneous Code (2024) • No Venue
  Chae et al.
• Mceval: Massively Multilingual Code Evaluation (2024) • No Venue
  Chai et al.
• Don't Do RAG: When Cache-augmented Generation Is All You Need For Knowledge Tasks (2024) • WWW '25: The ACM Web Conference 2025 • 18 citations
  Chan et al.
• SPAR: Personalized Content-based Recommendation Via Long Engagement Attention (2024) • No Venue
  Zhang et al.
• Worldscribe: Towards Context-aware Live Visual Descriptions (2024) • Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology • 38 citations
  Ruei-Che Chang, Yuxuan Liu, Anhong Guo
• Telecomgpt: A Framework To Build Telecom-specfic Large Language Models (2024) • IEEE Transactions on Machine Learning in Communications and Networking • 26 citations
  Zou et al.
• Usimagent: Large Language Models For Simulating Search Users (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 10 citations
  Zhang et al.
• Video Instruction Tuning With Synthetic Data (2024) • No Venue
  Zhang et al.
• Dolphin: Long Context As A New Modality For Energy-efficient On-device Language Models (2024) • No Venue
  Chen et al.
• Getting It Right: Improving Spatial Consistency In Text-to-image Models (2024) • No Venue
  Chatterjee et al.
• GPT Or BERT: Why Not Both? (2024) • No Venue
  Lucas Georges Gabriel Charpentier, David Samuel
• POSIX: A Prompt Sensitivity Index For Large Language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 12 citations
  Chatterjee et al.
• Towards A Clinically Accessible Radiology Foundation Model: Open-access And Lightweight, With Automated Evaluation (2024) • Nature Communications • 19 citations
  Chaves et al.
• Veagle: Advancements In Multimodal Representation Learning (2024) • No Venue
  Chawla et al.
• Still-moving: Customized Video Generation Without Customized Video Data (2024) • No Venue
  Chefer et al.
• Are We On The Right Way For Evaluating Large Vision-language Models? (2024) • Advances in Neural Information Processing Systems 37 • 17 citations
  Chen et al.
• An Image Is Worth 1/2 Tokens After Layer 2: Plug-and-play Inference Acceleration For Large Vision-language Models (2024) • No Venue
  Chen et al.
• Agent-flan: Designing Data And Methods Of Effective Agent Tuning For Large Language Models (2024) • No Venue
  Chen et al.
• Cod, Towards An Interpretable Medical Agent Using Chain Of Diagnosis (2024) • No Venue
  Chen et al.
• Auto Cherry-picker: Learning From High-quality Generative Data Driven By Language (2024) • No Venue
  Chen et al.
• Benchmarking Large Language Models On Answering And Explaining Challenging Medical Questions (2024) • Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 12 citations
  Chen et al.
• Chexagent: Towards A Foundation Model For Chest X-ray Interpretation (2024) • No Venue
  Chen et al.
• Designing A Dashboard For Transparency And Control Of Conversational AI (2024) • No Venue
  Chen et al.
• Comparative Analysis Of Open-source Language Models In Summarizing Medical Text Data (2024) • 2024 IEEE International Conference on Digital Health (ICDH) • 14 citations
  Chen et al.
• Diversity Empowers Intelligence: Integrating Expertise Of Software Engineering Agents (2024) • No Venue
  Zhang et al.
• Viseval: A Benchmark For Data Visualization In The Era Of Large Language Models (2024) • IEEE Transactions on Visualization and Computer Graphics • 17 citations
  Chen et al.
• Panda-70m: Captioning 70M Videos With Multiple Cross-modality Teachers (2024) • No Venue
  Chen et al.
• Mega-bench: Scaling Multimodal Evaluation To Over 500 Real-world Tasks (2024) • No Venue
  Chen et al.
• Humans Or Llms As The Judge? A Study On Judgement Biases (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 24 citations
  Chen et al.
• GAIA: Rethinking Action Quality Assessment For Ai-generated Videos (2024) • Advances in Neural Information Processing Systems 37 • 10 citations
  Chen et al.
• Expanding Performance Boundaries Of Open-source Multimodal Models With Model, Data, And Test-time Scaling (2024) • No Venue
  Chen et al.
• Gmai-mmbench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI (2024) • No Venue
  Chen et al.
• Grounded 3D-LLM With Referent Tokens (2024) • No Venue
  Chen et al.
• How Far Are We To GPT-4V? Closing The Gap To Commercial Multimodal Models With Open-source Suites (2024) • No Venue
  Chen et al.
• Livemind: Low-latency Large Language Models With Simultaneous Inference (2024) • No Venue
  Chen et al.
• Interleaved Scene Graph For Interleaved Text-and-image Generation Assessment (2024) • No Venue
  Chen et al.
• M\(^3\)cot: A Novel Benchmark For Multi-domain Multi-step Multi-modal Chain-of-thought (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Chen et al.
• Orion-14b: Open-source Multilingual Large Language Models (2024) • No Venue
  Chen et al.
• Mj-bench: Is Your Multimodal Reward Model Really A Good Judge For Text-to-image Generation? (2024) • No Venue
  Chen et al.
• Motionllm: Understanding Human Behaviors From Human Motions And Videos (2024) • No Venue
  Chen et al.
• Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey (2024) • No Venue
  Chen et al.
• Multi-object Hallucination In Vision-language Models (2024) • No Venue
  Chen et al.
• OMPGPT: A Generative Pre-trained Transformer Model For Openmp (2024) • Lecture Notes in Computer Science • 15 citations
  Chen et al.
• ODIN: Disentangled Reward Mitigates Hacking In RLHF (2024) • No Venue
  Chen et al.
• Omnicreator: Self-supervised Unified Generation With Universal Editing (2024) • No Venue
  Chen et al.
• Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/multi-modal Jailbreak Attacks? (2024) • No Venue
  Chen et al.
• Premise Order Matters In Reasoning With Large Language Models (2024) • No Venue
  Chen et al.
• Retrospective Learning From Interactions (2024) • No Venue
  Chen et al.
• Retrieval-style In-context Learning For Few-shot Hierarchical Text Classification (2024) • Transactions of the Association for Computational Linguistics • 12 citations
  Chen et al.
• Self-play Fine-tuning Converts Weak Language Models To Strong Language Models (2024) • No Venue
  Chen et al.
• SAR3D: Autoregressive 3D Object Generation And Understanding Via Multi-scale 3D VQVAE (2024) • No Venue
  Chen et al.
• Scienceagentbench: Toward Rigorous Assessment Of Language Agents For Data-driven Scientific Discovery (2024) • No Venue
  Chen et al.
• Videocrafter2: Overcoming Data Limitations For High-quality Video Diffusion Models (2024) • No Venue
  Chen et al.
• Sharegpt4video: Improving Video Understanding And Generation With Better Captions (2024) • No Venue
  Chen et al.
• VALL-E 2: Neural Codec Language Models Are Human Parity Zero-shot Text To Speech Synthesizers (2024) • No Venue
  Chen et al.
• Unified Hallucination Detection For Multimodal Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
  Chen et al.
• OCR Hinders RAG: Evaluating The Cascading Impact Of OCR On Retrieval-augmented Generation (2024) • No Venue
  Zhang et al.
• UFO: A Ui-focused Agent For Windows OS Interaction (2024) • No Venue
  Zhang et al.
• Vitamin: Designing Scalable Vision Models In The Vision-language Era (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Chen et al.
• STICKERCONV: Generating Multimodal Empathetic Responses From Scratch (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Zhang et al.
• Reviseval: Improving Llm-as-a-judge Via Response-adapted References (2024) • No Venue
  Zhang et al.
• Pushing The Limit Of LLM Capacity For Text Classification (2024) • WWW '25: The ACM Web Conference 2025 • 24 citations
  Zhang et al.
• Scientific Large Language Models: A Survey On Biological & Chemical Domains (2024) • ACM Computing Surveys • 46 citations
  Zhang et al.
• Retrievalqa: Assessing Adaptive Retrieval-augmented Generation For Short-form Open-domain Question Answering (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Zihan Zhang, Meng Fang, Ling Chen
• Personalization Of Large Language Models: A Survey (2024) • No Venue
  Zhang et al.
• Ontochat: A Framework For Conversational Ontology Engineering Using Language Models (2024) • Lecture Notes in Computer Science • 11 citations
  Zhang et al.
• POA: Pre-training Once For Models Of All Sizes (2024) • No Venue
  Zhang et al.
• On The Diagram Of Thought (2024) • No Venue
  Yifan Zhang, Yang Yuan, Andrew Chi-Chih Yao
• Map-neo: Highly Capable And Transparent Bilingual Large Language Model Series (2024) • No Venue
  Zhang et al.
• Multi-dimensional Insights: Benchmarking Real-world Personalization In Large Multimodal Models (2024) • No Venue
  Zhang et al.
• Multimodal Self-instruct: Synthetic Abstract Image And Visual Reasoning Instruction Using Language Model (2024) • No Venue
  Zhang et al.
• Notellm: A Retrievable Large Language Model For Note Recommendation (2024) • WWW '24: The ACM Web Conference 2024 • 13 citations
  Zhang et al.
• Milora: Efficient Mixture Of Low-rank Adaptation For Large Language Models Fine-tuning (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 25 citations
  Zhang et al.
• Mme-realworld: Could Your Multimodal LLM Challenge High-resolution Real-world Scenarios That Are Difficult For Humans? (2024) • No Venue
  Zhang et al.
• Mathverse: Does Your Multi-modal LLM Truly See The Diagrams In Visual Math Problems? (2024) • No Venue
  Zhang et al.
• Mgte: Generalized Long-context Text Representation And Reranking Models For Multilingual Text Retrieval (2024) • No Venue
  Zhang et al.
• Learning Multi-dimensional Human Preference For Text-to-image Generation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Zhang et al.
• Long Context Transfer From Language To Vision (2024) • No Venue
  Zhang et al.
• Longcite: Enabling Llms To Generate Fine-grained Citations In Long-context QA (2024) • No Venue
  Zhang et al.
• Lmms-eval: Reality Check On The Evaluation Of Large Multimodal Models (2024) • No Venue
  Zhang et al.
• Humaneval-v: Benchmarking High-level Visual Reasoning With Complex Diagrams In Coding Tasks (2024) • No Venue
  Zhang et al.
• IOPO: Empowering Llms With Complex Instruction Following Via Input-output Preference Optimization (2024) • No Venue
  Zhang et al.
• Improve Vision Language Model Chain-of-thought Reasoning (2024) • No Venue
  Zhang et al.
• Large Multi-modal Models Can Interpret Features In Large Multi-modal Models (2024) • No Venue
  Zhang et al.
• K-level Reasoning With Large Language Models (2024) • No Venue
  Zhang et al.
• \(\infty\)bench: Extending Long Context Evaluation Beyond 100K Tokens (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Zhang et al.
• How Far Are We From Intelligent Visual Deductive Reasoning? (2024) • No Venue
  Zhang et al.
• Don't Go To Extremes: Revealing The Excessive Sensitivity And Calibration Limitations Of Llms In Implicit Hate Speech Detection (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Zhang et al.
• HARE: Human Priors, A Key To Small Language Model Efficiency (2024) • No Venue
  Zhang et al.
• GS-LRM: Large Reconstruction Model For 3D Gaussian Splatting (2024) • No Venue
  Zhang et al.
• Good At Captioning, Bad At Counting: Benchmarking GPT-4V On Earth Observation Data (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 20 citations
  Chenhui Zhang, Sherrie Wang
• Controllable Safety Alignment: Inference-time Adaptation To Diverse Safety Requirements (2024) • No Venue
  Zhang et al.
• Aquila2 Technical Report (2024) • No Venue
  Zhang et al.
• Masked Audio Generation Using A Single Non-autoregressive Transformer (2024) • No Venue
  Ziv et al.
• Videgothink: Assessing Egocentric Video Understanding Capabilities For Embodied AI (2024) • No Venue
  Cheng et al.
• On The Limits Of Agency In Agent-based Models (2024) • No Venue
  Chopra et al.
• Towards Achieving Human Parity On End-to-end Simultaneous Speech Translation Via LLM Agent (2024) • No Venue
  Cheng et al.
• Autodetect: Towards A Unified Framework For Automated Weakness Detection In Large Language Models (2024) • No Venue
  Cheng et al.
• Emotion-llama: Multimodal Emotion Recognition And Reasoning With Instruction Tuning (2024) • Advances in Neural Information Processing Systems 37 • 38 citations
  Cheng et al.
• CORAL: Benchmarking Multi-turn Conversational Retrieval-augmentation Generation (2024) • No Venue
  Cheng et al.
• Compressed Chain Of Thought: Efficient Reasoning Through Dense Representations (2024) • No Venue
  Jeffrey Cheng, Benjamin van Durme
• On Domain-specific Post-training For Multimodal Large Language Models (2024) • No Venue
  Cheng et al.
• Spatialrgpt: Grounded Spatial Reasoning In Vision Language Models (2024) • Advances in Neural Information Processing Systems 37 • 21 citations
  Cheng et al.
• Can Mllms Understand The Deep Implication Behind Chinese Images? (2024) • No Venue
  Zhang et al.
• Cpsycoun: A Report-based Multi-turn Dialogue Reconstruction And Evaluation Framework For Chinese Psychological Counseling (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Zhang et al.
• Videollama 2: Advancing Spatial-temporal Modeling And Audio Understanding In Video-llms (2024) • No Venue
  Cheng et al.
• Counting Ability Of Large Language Models And Impact Of Tokenization (2024) • No Venue
  Xiang Zhang, Juntai Cao, Chenyu You
• Critic-v: VLM Critics Help Catch VLM Errors In Multimodal Reasoning (2024) • No Venue
  Zhang et al.
• CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark (2024) • No Venue
  Zhang et al.
• Closing The Gap Between Open-source And Commercial Large Language Models For Medical Evidence Summarization (2024) • npj Digital Medicine • 48 citations
  Zhang et al.
• Benchmarking Trustworthiness Of Multimodal Large Language Models: A Comprehensive Study (2024) • No Venue
  Zhang et al.
• Beyond Llava-hd: Diving Into High-resolution Large Multimodal Models (2024) • No Venue
  Zhang et al.
• Walert: Putting Conversational Search Knowledge Into Action By Building And Evaluating A Large Language Model-powered Chatbot (2024) • CHIIR '24: 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval • 10 citations
  Cherumanal et al.
• U-MATH: A University-level Benchmark For Evaluating Mathematical Skills In Llms (2024) • No Venue
  Chernyshev et al.
• B-avibench: Towards Evaluating The Robustness Of Large Vision-language Model On Black-box Adversarial Visual-instructions (2024) • IEEE Transactions on Information Forensics and Security • 12 citations
  Zhang et al.
• Do Language Models Enjoy Their Own Stories? Prompting Large Language Models For Automatic Story Evaluation (2024) • Transactions of the Association for Computational Linguistics • 13 citations
  Cyril Chhun, Fabian M. Suchanek, Chloé Clavel
• The Browsergym Ecosystem For Web Agent Research (2024) • No Venue
  Chezelles et al.
• Agent-safetybench: Evaluating The Safety Of LLM Agents (2024) • No Venue
  Zhang et al.
• Accessing GPT-4 Level Mathematical Olympiad Solutions Via Monte Carlo Tree Self-refine With Llama-3 8B (2024) • No Venue
  Zhang et al.
• Are Large Language Models Good At Utility Judgments? (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 13 citations
  Zhang et al.
• Chatbot Arena: An Open Platform For Evaluating Llms By Human Preference (2024) • No Venue
  Chiang et al.
• Attention Calibration For Disentangled Text-to-image Personalization (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Zhang et al.
• Llm-inference-bench: Inference Benchmarking Of Large Language Models On AI Accelerators (2024) • SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis • 18 citations
  Chitty-Venkata et al.
• Retrieval-augmented Generation In Multilingual Settings (2024) • Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024) • 12 citations
  Chirkova et al.
• Allhands: Ask Me Anything On Large-scale Verbatim Feedback Via Large Language Models (2024) • No Venue
  Zhang et al.
• M3docrag: Multi-modal Retrieval Is What You Need For Multi-page Multi-document Understanding (2024) • No Venue
  Cho et al.
• A Careful Examination Of Large Language Model Performance On Grade School Arithmetic (2024) • No Venue
  Zhang et al.
• Affordance-based Robot Manipulation With Flow Matching (2024) • No Venue
  Fan Zhang, Michael Gienger
• Apollo: An Exploration Of Video Understanding In Large Multimodal Models (2024) • No Venue
  Zohar et al.
• A Flexible Large Language Models Guardrail Development Methodology Applied To Off-topic Prompt Detection (2024) • No Venue
  Gabriel Chua, Shing Yee Chan, Shaun Khoo
• Autotutor Meets Large Language Models: A Language Model Tutor With Rich Pedagogy And Guardrails (2024) • L@S '24: Eleventh ACM Conference on Learning @ Scale • 24 citations
  Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan
• Beyond Fine-tuning: Unleashing The Potential Of Continuous Pretraining For Clinical Llms (2024) • No Venue
  Christophe et al.
• LLM-AD: Large Language Model Based Audio Description System (2024) • No Venue
  Peng Chu, Jiang Wang, Andre Abrantes
• Fairness In Large Language Models: A Taxonomic Survey (2024) • ACM SIGKDD Explorations Newsletter • 43 citations
  Zhibo Chu, Zichong Wang, Wenbin Zhang
• Visionllama: A Unified Llama Interface For Vision Tasks (2024) • No Venue
  Chu et al.
• Qwen2-audio Technical Report (2024) • No Venue
  Chu et al.
• Lookback Lens: Detecting And Mitigating Contextual Hallucinations In Large Language Models Using Only Attention Maps (2024) • No Venue
  Chuang et al.
• Musicrl: Aligning Music Generation To Human Preferences (2024) • No Venue
  Cideron et al.
• Jacolbertv2.5: Optimising Multi-vector Retrievers To Create State-of-the-art Japanese Retrievers With Constrained Resources (2024) • No Venue
  Benjamin Clavié
• Toto: Time Series Optimized Transformer For Observability (2024) • No Venue
  Cohen et al.
• A Performance Study Of Llm-generated Code On Leetcode (2024) • EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering • 50 citations
  Tristan Coignion, Clément Quinton, Romain Rouvoy
• A Chain-of-thought Prompting Approach With Llms For Evaluating Students' Formative Assessment Responses In Science (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 30 citations
  Cohn et al.
• Knowledgevis: Interpreting Language Models By Comparing Fill-in-the-blank Prompts (2024) • IEEE Transactions on Visualization and Computer Graphics • 11 citations
  Adam Coscia, Alex Endert
• VLOGGER: Multimodal Diffusion For Embodied Avatar Synthesis (2024) • No Venue
  Corona et al.
• Towards A Personal Health Large Language Model (2024) • No Venue
  Cosentino et al.
• Sambalingo: Teaching Large Language Models New Languages (2024) • No Venue
  Csaki et al.
• Diffusion-based Contrastive Learning For Sequential Recommendation (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 14 citations
  Cui et al.
• Be Yourself: Bounded Attention For Multi-subject Text-to-image Generation (2024) • No Venue
  Dahary et al.
• RACER: Rich Language-guided Failure Recovery Policies For Imitation Learning (2024) • No Venue
  Dai et al.
• Livespeech: Low-latency Zero-shot Text-to-speech Via Autoregressive Modeling Of Audio Discrete Codes (2024) • No Venue
  Dang et al.
• Swiftbrush V2: Make Your One-step Diffusion Model Better Than Its Teacher (2024) • No Venue
  Dao et al.
• EXAMS-V: A Multi-discipline Multilingual Multimodal Exam Benchmark For Evaluating Vision Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Das et al.
• Speechverse: A Large-scale Generalizable Audio Language Model (2024) • No Venue
  Das et al.
• Self-recognition In Language Models (2024) • No Venue
  Davidson et al.
• Molmo And Pixmo: Open Weights And Open Data For State-of-the-art Multimodal Models (2024) • No Venue
  Deitke et al.
• Understanding Biases In Chatgpt-based Recommender Systems: Provider Fairness, Temporal Stability, And Recency (2024) • ACM Transactions on Recommender Systems • 29 citations
  Yashar Deldjoo
• A Review Of Modern Recommender Systems Using Generative Models (gen-recsys) (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 77 citations
  Deldjoo et al.
• Cfairllm: Consumer Fairness Evaluation In Large-language Model Recommender System (2024) • ACM Transactions on Intelligent Systems and Technology • 15 citations
  Yashar Deldjoo, Tommaso di Noia
• Causal Diffusion Transformers For Generative Modeling (2024) • No Venue
  Deng et al.
• Coconut: Modernizing COCO Segmentation (2024) • No Venue
  Deng et al.
• Applicability Of Large Language Models And Generative Models For Legal Case Judgement Summarization (2024) • Artificial Intelligence and Law • 19 citations
  Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh
• Adaptive Decoding Via Latent Preference Optimization (2024) • No Venue
  Dhuliawala et al.
• Beyond Detection: Leveraging Large Language Models For Cyber Attack Prediction In Iot Networks (2024) • 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) • 27 citations
  Diaf et al.
• Autogen Studio: A No-code Developer Tool For Building And Debugging Multi-agent Systems (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 10 citations
  Dibia et al.
• Mapeval: A Map-based Evaluation Of Geo-spatial Reasoning In Foundation Models (2024) • No Venue
  Dihan et al.
• CYCLE: Learning To Self-refine The Code Generation (2024) • Proceedings of the ACM on Programming Languages • 24 citations
  Ding et al.
• Symbolicai: A Framework For Logic-based Approaches Combining Generative Models And Solvers (2024) • No Venue
  Dinu et al.
• Openbezoar: Small, Cost-effective And Open Models Trained On Mixes Of Instruction Data (2024) • No Venue
  Dissanayake et al.
• Attacks, Defenses And Evaluations For LLM Conversation Safety: A Survey (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 21 citations
  Dong et al.
• Generalization Or Memorization: Data Contamination And Trustworthy Evaluation For Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 31 citations
  Dong et al.
• Can LLM Be A Personalized Judge? (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 11 citations
  Yijiang River Dong, Tiancheng Hu, Nigel Collier
• Toward General Instruction-following Alignment For Retrieval-augmented Generation (2024) • No Venue
  Dong et al.
• Self-boosting Large Language Models With Synthetic Preference Data (2024) • No Venue
  Dong et al.
• CLEAR: Character Unlearning In Textual And Visual Modalities (2024) • No Venue
  Dontsov et al.
• Designqa: A Multimodal Benchmark For Evaluating Large Language Models' Understanding Of Engineering Documentation (2024) • Journal of Computing and Information Science in Engineering • 16 citations
  Doris et al.
• Bitdistiller: Unleashing The Potential Of Sub-4-bit Llms Via Self-distillation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Du et al.
• Evaluating Language Model Context Windows: A "working Memory" Test And Inference-time Correction (2024) • No Venue
  Dsouza et al.
• Stacking Your Transformers: A Closer Look At Model Growth For Efficient LLM Pre-training (2024) • No Venue
  Du et al.
• Processbench: Identifying Process Errors In Mathematical Reasoning (2024) • No Venue
  Zheng et al.
• Vlmevalkit: An Open-source Toolkit For Evaluating Large Multi-modality Models (2024) • No Venue
  Duan et al.
• Aya Model: An Instruction Finetuned Open-access Multilingual Language Model (2024) • No Venue
  Üstün et al.
• The Llama 3 Herd Of Models (2024) • No Venue
  Dubey et al.
• Adaptive Length Image Tokenization Via Recurrent Allocation (2024) • No Venue
  Duggal et al.
• RAID: A Shared Benchmark For Robust Evaluation Of Machine-generated Text Detectors (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Dugan et al.
• An Interactive Agent Foundation Model (2024) • No Venue
  Durante et al.
• Learning To Move Like Professional Counter-strike Players (2024) • No Venue
  Durst et al.
• MUSCLE: A Model Update Strategy For Compatible LLM Evolution (2024) • No Venue
  Echterhoff et al.
• Considers-the-human Evaluation Framework: Rethinking Human Evaluation For Generative Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Elangovan et al.
• Visual Reasoning And Multi-agent Approach In Multimodal Large Language Models (mllms): Solving TSP And Mtsp Combinatorial Challenges (2024) • Machine Learning and Knowledge Extraction • 16 citations
  Elhenawy et al.
• Build-a-scene: Interactive 3D Layout Control For Diffusion-based Image Generation (2024) • No Venue
  Abdelrahman Eldesokey, Peter Wonka
• Scalable Pre-training Of Large Autoregressive Image Models (2024) • No Venue
  El-Nouby et al.
• Scaling Rectified Flow Transformers For High-resolution Image Synthesis (2024) • No Venue
  Esser et al.
• Fact-checking The Output Of Large Language Models Via Token-level Uncertainty Quantification (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 16 citations
  Fadeeva et al.
• Read Anywhere Pointed: Layout-aware GUI Screen Reading With Tree-of-lens Grounding (2024) • No Venue
  Fan et al.
• Can GPT-3.5 Generate And Code Discharge Summaries? (2024) • Journal of the American Medical Informatics Association • 21 citations
  Falis et al.
• How Well Can A Large Language Model Explain Business Processes As Perceived By Users? (2024) • Data & Knowledge Engineering • 20 citations
  Fahland et al.
• Fluid: Scaling Autoregressive Text-to-image Generative Models With Continuous Tokens (2024) • No Venue
  Fan et al.
• Instancecap: Improving Text-to-video Generation Via Instance-aware Structured Caption (2024) • No Venue
  Fan et al.
• Mmbench-video: A Long-form Multi-shot Benchmark For Holistic Video Understanding (2024) • No Venue
  Fang et al.
• VILA^2: VILA Augmented VILA (2024) • No Venue
  Fang et al.
• Scaling Laws For Dense Retrieval (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 20 citations
  Fang et al.
• VIMI: Grounding Video Generation Through Multi-modal Instruction (2024) • No Venue
  Fang et al.
• Test Of Time: A Benchmark For Evaluating Llms On Temporal Reasoning (2024) • No Venue
  Fatemi et al.
• Croissantllm: A Truly Bilingual French-english Language Model (2024) • No Venue
  Faysse et al.
• Diffusion-rwkv: Scaling Rwkv-like Architectures For Diffusion Models (2024) • No Venue
  Fei et al.
• FLUX That Plays Music (2024) • No Venue
  Fei et al.
• Triad: A Framework Leveraging A Multi-role Llm-based Agent To Solve Knowledge Base Question Answering (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Zong et al.
• Fancyvideo: Towards Dynamic And Consistent Video Generation Via Cross-frame Textual Guidance (2024) • No Venue
  Feng et al.
• Where To Move Next: Zero-shot Generalization Of Llms For Next POI Recommendation (2024) • 2024 IEEE Conference on Artificial Intelligence (CAI) • 27 citations
  Feng et al.
• Tear: Improving Llm-based Machine Translation With Systematic Self-refinement (2024) • Findings of the Association for Computational Linguistics: NAACL 2025 • 14 citations
  Feng et al.
• Evaluating Search Engines And Large Language Models For Answering Health Questions (2024) • npj Digital Medicine • 21 citations
  Marcos Fernández-Pichel, Juan C. Pichel, David E. Losada
• Model Generation With Llms: From Requirements To UML Sequence Diagrams (2024) • 2024 IEEE 32nd International Requirements Engineering Conference Workshops (REW) • 42 citations
  Alessio Ferrari, Sallam Abualhaija, Chetan Arora
• Linguistic Bias In Chatgpt: Language Models Reinforce Dialect Discrimination (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Fleisig et al.
• Multimodal Autoregressive Pre-training Of Large Vision Encoders (2024) • No Venue
  Fini et al.
• RAG Foundry: A Framework For Enhancing Llms For Retrieval Augmented Generation (2024) • No Venue
  Fleischer et al.
• Styleremix: Interpretable Authorship Obfuscation Via Distillation And Perturbation Of Style Elements (2024) • No Venue
  Fisher et al.
• Magentic-one: A Generalist Multi-agent System For Solving Complex Tasks (2024) • Arxiv • 10 citations
  Fourney et al.
• Ai-tutoring In Software Engineering Education (2024) • ICSE-SEET '24: 46th International Conference on Software Engineering: Software Engineering Education and Training • 36 citations
  Frankford et al.
• Data Engineering For Scaling Language Models To 128K Context (2024) • No Venue
  Fu et al.
• Autorag-hp: Automatic Online Hyper-parameter Tuning For Retrieval-augmented Generation (2024) • No Venue
  Fu et al.
• BLINK: Multimodal Large Language Models Can See But Not Perceive (2024) • No Venue
  Fu et al.
• Video-mme: The First-ever Comprehensive Evaluation Benchmark Of Multi-modal Llms In Video Analysis (2024) • No Venue
  Fu et al.
• Msi-agent: Incorporating Multi-scale Insight Into Embodied Agents For Superior Planning And Decision-making (2024) • No Venue
  Fu et al.
• Mme-survey: A Comprehensive Survey On Evaluation Of Multimodal Llms (2024) • No Venue
  Fu et al.
• TLDR: Token-level Detective Reward Model For Large Vision Language Models (2024) • No Venue
  Fu et al.
• Large Scale Transfer Learning For Tabular Data Via Language Modeling (2024) • No Venue
  Josh Gardner, Juan C. Perdomo, Ludwig Schmidt
• Can AI Relate: Testing Large Language Model Response For Mental Health Support (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 10 citations
  Gabriel et al.
• Moscar: A Large-scale Multilingual And Multimodal Document-level Corpus (2024) • No Venue
  Futeral et al.
• Language Models Scale Reliably With Over-training And On Downstream Tasks (2024) • No Venue
  Gadre et al.
• Erasing Conceptual Knowledge From Language Models (2024) • No Venue
  Gandikota et al.
• Omni-math: A Universal Olympiad Level Mathematic Benchmark For Large Language Models (2024) • No Venue
  Gao et al.
• Llm-based NLG Evaluation: Current Status And Challenges (2024) • Computational Linguistics • 39 citations
  Gao et al.
• Opencodeinterpreter: Integrating Code Generation With Execution And Refinement (2024) • No Venue
  Zheng et al.
• Kvasir-vqa: A Text-image Pair GI Tract Dataset (2024) • No Venue
  Gautam et al.
• Discrete Flow Matching (2024) • No Venue
  Gat et al.
• Longins: A Challenging Long-context Instruction-based Exam For Llms (2024) • No Venue
  Gavin et al.
• BEHAVIOR Vision Suite: Customizable Dataset Generation Via Simulation (2024) • No Venue
  Ge et al.
• Divot: Diffusion Powers Video Tokenizer For Comprehension And Generation (2024) • No Venue
  Ge et al.
• Visual Fact Checker: Enabling High-fidelity Detailed Caption Generation (2024) • No Venue
  Ge et al.
• Worldgpt: Empowering LLM As Multimodal World Model (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 23 citations
  Ge et al.
• Promptreps: Prompting Large Language Models To Generate Dense And Sparse Representations For Zero-shot Document Retrieval (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 19 citations
  Zhuang et al.
• Are We Done With MMLU? (2024) • No Venue
  Gema et al.
• Supporting Sensemaking Of Large Language Model Outputs At Scale (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 30 citations
  Gero et al.
• Justrank: Benchmarking LLM Judges For System Ranking (2024) • No Venue
  Gera et al.
• Camel-bench: A Comprehensive Arabic LMM Benchmark (2024) • No Venue
  Ghaboura et al.
• Exploring The Frontier Of Vision-language Models: A Survey Of Current Methodologies And Future Directions (2024) • Arxiv • 24 citations
  Ghosh et al.
• GAMA: A Large Audio-language Model With Advanced Audio Understanding And Complex Reasoning Abilities (2024) • No Venue
  Ghosh et al.
• Is Preference Alignment Always The Best Option To Enhance Llm-based Translation? An Empirical Analysis (2024) • No Venue
  Gisserot-Boukhlef et al.
• Chatglm: A Family Of Large Language Models From GLM-130B To GLM-4 All Tools (2024) • No Venue
  Glm et al.
• Is It Really Long Context If All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP (2024) • No Venue
  Goldman et al.
• Knesset-dictabert: A Hebrew Language Model For Parliamentary Proceedings (2024) • No Venue
  Gili Goldin, Shuly Wintner
• Omnifusion Technical Report (2024) • No Venue
  Goncharova et al.
• Scaling Diffusion Language Models Via Adaptation From Autoregressive Models (2024) • No Venue
  Gong et al.
• Av-odyssey Bench: Can Your Multimodal Llms Really Understand Audio-visual Information? (2024) • No Venue
  Gong et al.
• AST-T5: Structure-aware Pretraining For Code Generation And Understanding (2024) • No Venue
  Linyuan Gong, Mostafa Elhoushi, Alvin Cheung
• Atomovideo: High Fidelity Image-to-video Generation (2024) • No Venue
  Gong et al.
• DAMRO: Dive Into The Attention Mechanism Of LVLM To Reduce Object Hallucination (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Gong et al.
• Learn Your Reference Model For Real Good Alignment (2024) • No Venue
  Gorbatovski et al.
• Navigating The Digital World As Humans Do: Universal Visual Grounding For GUI Agents (2024) • No Venue
  Gou et al.
• Evaluating Large Language Models For Material Selection (2024) • Journal of Computing and Information Science in Engineering • 14 citations
  Grandi et al.
• Risks From Language Models For Automated Mental Healthcare: Ethics And Structure For Implementation (2024) • Arxiv • 15 citations
  Declan Grabb, Max Lamparth, Nina Vasan
• Learning Universal Predictors (2024) • No Venue
  Grau-Moya et al.
• Olmo: Accelerating The Science Of Language Models (2024) • No Venue
  Groeneveld et al.
• Are AI Detectors Good Enough? A Survey On Quality Of Datasets With Machine-generated Texts (2024) • No Venue
  Gritsai et al.
• Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level (2024) • No Venue
  Grosnit et al.
• Rakutenai-7b: Extending Large Language Models For Japanese (2024) • No Venue
  Group et al.
• Multimodal Table Understanding (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Zheng et al.
• Cruxeval: A Benchmark For Code Reasoning, Understanding And Execution (2024) • No Venue
  Gu et al.
• A Survey On Llm-as-a-judge (2024) • The Innovation • 11 citations
  Gu et al.
• Denoising LM: Pushing The Limits Of Error Correction Models For Speech Recognition (2024) • No Venue
  Gu et al.
• Cogview3: Finer And Faster Text-to-image Generation Via Relay Diffusion (2024) • No Venue
  Zheng et al.
• Normalizing Flows Are Capable Generative Models (2024) • No Venue
  Zhai et al.
• Multimodal Prompt Learning With Missing Modalities For Sentiment Analysis And Emotion Recognition (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Zirun Guo, Tao Jin, Zhou Zhao
• Moltailor: Tailoring Chemical Molecular Representation To Specific Tasks Via Text Prompts (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Guo et al.
• I4vgen: Image As Stepping Stone For Text-to-video Generation (2024) • No Venue
  Guo et al.
• Direct Language Model Alignment From Online AI Feedback (2024) • No Venue
  Guo et al.
• Codeeditorbench: Evaluating Code Editing Capability Of Large Language Models (2024) • No Venue
  Guo et al.
• Deepseek-coder: When The Large Language Model Meets Programming -- The Rise Of Code Intelligence (2024) • No Venue
  Guo et al.
• Evaluating Large Language Models For Health-related Text Classification Tasks With Public Social Media Data (2024) • Journal of the American Medical Informatics Association • 38 citations
  Guo et al.
• Large Language Model For Mental Health: A Systematic Review (2024) • Arxiv • 13 citations
  Guo et al.
• Gpt-4v(ision) Is A Generalist Web Agent, If Grounded (2024) • No Venue
  Zheng et al.
• Pulid: Pure And Lightning ID Customization Via Contrastive Alignment (2024) • No Venue
  Guo et al.
• Vision Superalignment: Weak-to-strong Generalization For Vision Foundation Models (2024) • No Venue
  Guo et al.
• Mixllm: LLM Quantization With Global Mixed-precision Between Output-features And Highly-efficient System Design (2024) • No Venue
  Zhen Zheng, Xiaonan Song, Chuanjie Liu
• Attention Heads Of Large Language Models: A Survey (2024) • No Venue
  Zheng et al.
• Disciplink: Unfolding Interdisciplinary Information Seeking Process Via Human-ai Co-exploration (2024) • Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology • 13 citations
  Zheng et al.
• Swe-bench-java: A Github Issue Resolving Benchmark For Java (2024) • No Venue
  Zan et al.
• PRISM: Patient Records Interpretation For Semantic Clinical Trial Matching Using Large Language Models (2024) • npj Digital Medicine • 24 citations
  Gupta et al.
• Walledeval: A Comprehensive Safety Evaluation Toolkit For Large Language Models (2024) • No Venue
  Gupta et al.
• M-rewardbench: Evaluating Reward Models In Multilingual Settings (2024) • No Venue
  Gureja et al.
• PAS: Data-efficient Plug-and-play Prompt Augmentation System (2024) • No Venue
  Zheng et al.
• Pingpong: A Benchmark For Role-playing Language Models With User Emulation And Multi-model Evaluation (2024) • No Venue
  Ilya Gusev
• Meacap: Memory-augmented Zero-shot Image Captioning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Zeng et al.
• The Great AI Witch Hunt: Reviewers Perception And (mis)conception Of Generative AI In Research Writing (2024) • Computers in Human Behavior: Artificial Humans • 30 citations
  Hadan et al.
• REPOEXEC: Evaluate Code Generation With A Repository-level Executable Benchmark (2024) • No Venue
  Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui
• Ezaudio: Enhancing Text-to-audio Generation With Efficient Diffusion Transformer (2024) • No Venue
  Hai et al.
• Can Vehicle Motion Planning Generalize To Realistic Long-tail Scenarios? (2024) • 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 13 citations
  Hallgarten et al.
• Two Giraffes In A Dirt Field: Using Game Play To Investigate Situation Modelling In Large Multimodal Models (2024) • No Venue
  Hakimov et al.
• Shieldgemma: Generative AI Content Moderation Based On Gemma (2024) • No Venue
  Zeng et al.
• Nestools: A Dataset For Evaluating Nested Tool Learning Abilities Of Large Language Models (2024) • No Venue
  Han et al.
• JPEG-LM: Llms As Image Generators With Canonical Codec Representations (2024) • No Venue
  Han et al.
• Autoad III: The Prequel -- Back To The Pixels (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 19 citations
  Han et al.
• Infinity: Scaling Bitwise Autoregressive Modeling For High-resolution Image Synthesis (2024) • No Venue
  Han et al.
• Infimm-webmath-40b: Advancing Multimodal Pre-training For Enhanced Mathematical Reasoning (2024) • No Venue
  Han et al.
• Wildguard: Open One-stop Moderation Tools For Safety Risks, Jailbreaks, And Refusals Of Llms (2024) • No Venue
  Han et al.
• Authorship Attribution In The Era Of Llms: Problems, Methodologies, And Challenges (2024) • No Venue
  Baixiang Huang, Canyu Chen, Kai Shu
• Dilightnet: Fine-grained Lighting Control For Diffusion-based Image Generation (2024) • No Venue
  Zeng et al.
• Spotting Llms With Binoculars: Zero-shot Detection Of Machine-generated Text (2024) • No Venue
  Hans et al.
• Llms: A Game-changer For Software Engineers? (2024) • BenchCouncil Transactions on Benchmarks, Standards and Evaluations • 12 citations
  Md Asraful Haque
• Vision-language Models For Medical Report Generation And Visual Question Answering: A Review (2024) • Frontiers in Artificial Intelligence • 110 citations
  Iryna Hartsock, Ghulam Rasool
• Llm-rubric: A Multidimensional, Calibrated Approach To Automated Evaluation Of Natural Language Texts (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Hashemi et al.
• Mambavision: A Hybrid Mamba-transformer Vision Backbone (2024) • No Venue
  Ali Hatamizadeh, Jan Kautz
• Glore: When, Where, And How To Improve LLM Reasoning Via Global And Local Refinements (2024) • No Venue
  Havrilla et al.
• Inference Scaling For Long-context Retrieval Augmented Generation (2024) • No Venue
  Yue et al.
• Mmmu-pro: A More Robust Multi-discipline Multimodal Understanding Benchmark (2024) • No Venue
  Yue et al.
• Cameractrl: Enabling Camera Control For Text-to-video Generation (2024) • No Venue
  He et al.
• Dresscode: Autoregressively Sewing And Generating Garments From Text Guidance (2024) • No Venue
  He et al.
• DICE: Discrete Inversion Enabling Controllable Editing For Multinomial Diffusion And Masked Generative Models (2024) • No Venue
  He et al.
• Chinese Simpleqa: A Chinese Factuality Evaluation For Large Language Models (2024) • No Venue
  He et al.
• MLP-KAN: Unifying Deep Representation And Function Learning (2024) • No Venue
  He et al.
• Mmworld: Towards Multi-discipline Multi-faceted World Model Evaluation In Videos (2024) • No Venue
  He et al.
• Quality Of Answers Of Generative Large Language Models Vs Peer Patients For Interpreting Lab Test Results For Lay Patients: Evaluation Study (2024) • Journal of Medical Internet Research • 41 citations
  He et al.
• Olympiadbench: A Challenging Benchmark For Promoting AGI With Olympiad-level Bilingual Multimodal Scientific Problems (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  He et al.
• In-context Example Selection Via Similarity Search Improves Low-resource Machine Translation (2024) • No Venue
  Armel Zebaze, Benoît Sagot, Rachel Bawden
• Reflections From The 2024 Large Language Model (LLM) Hackathon For Applications In Materials Science And Chemistry (2024) • No Venue
  Zimmermann et al.
• Venhancer: Generative Space-time Enhancement For Video Generation (2024) • No Venue
  He et al.
• Webvoyager: Building An End-to-end Web Agent With Large Multimodal Models (2024) • No Venue
  He et al.
• Subgen: Token Generation In Sublinear Time And Memory (2024) • No Venue
  Zandieh et al.
• Can Large Language Models Make The Grade? An Empirical Study Evaluating Llms Ability To Mark Short Answer Questions In K-12 Education (2024) • L@S '24: Eleventh ACM Conference on Learning @ Scale • 23 citations
  Henkel et al.
• Evaluation Of Retrieval-augmented Generation: A Survey (2024) • Communications in Computer and Information Science • 56 citations
  Yu et al.
• Model Editing With Canonical Examples (2024) • No Venue
  Hewitt et al.
• Superhuman Performance In Urology Board Questions By An Explainable Large Language Model Enabled For Context Integration Of The European Association Of Urology Guidelines: The Urobot Study (2024) • ESMO Real World Data and Digital Oncology • 13 citations
  Hetz et al.
• Llava-gemma: Accelerating Multimodal Foundation Models With A Compact Language Model (2024) • No Venue
  Hinck et al.
• Algorithmic Progress In Language Models (2024) • No Venue
  Ho et al.
• Margin-aware Preference Optimization For Aligning Diffusion Models Without Reference (2024) • No Venue
  Hong et al.
• Deepspeed-fastgen: High-throughput Text Generation For Llms Via MII And Deepspeed-inference (2024) • No Venue
  Holmes et al.
• Decoding Compressed Trust: Scrutinizing The Trustworthiness Of Efficient Llms Under Compression (2024) • No Venue
  Hong et al.
• Phishing Website Detection Through Multi-model Analysis Of HTML Content (2024) • Algorithms for Intelligent Systems • 10 citations
  Çolhak et al.
• NATURAL PLAN: Benchmarking Llms On Natural Language Planning (2024) • No Venue
  Zheng et al.
• Visual Prompting For Generalized Few-shot Segmentation: A Multi-scale Approach (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Hossain et al.
• Evaluating Large Language Models As Virtual Annotators For Time-series Physical Sensing Data (2024) • ACM Transactions on Intelligent Systems and Technology • 12 citations
  Aritra Hota, Soumyajit Chatterjee, Sandip Chakraborty
• DOTS: Learning To Reason Dynamically In Llms Via Optimal Reasoning Trajectories Search (2024) • No Venue
  Yue et al.
• Fine-tuning A Local Llama-3 Large Language Model For Automated Privacy-preserving Physician Letter Generation In Radiation Oncology (2024) • Frontiers in Artificial Intelligence • 12 citations
  Hou et al.
• Geocode-gpt: A Large Language Model For Geospatial Code Generation Tasks (2024) • International Journal of Applied Earth Observation and Geoinformation • 11 citations
  Hou et al.
• Training Language Models On The Knowledge Graph: Insights On Hallucinations And Their Detectability (2024) • No Venue
  Hron et al.
• Pangea: A Fully Open Multilingual Multimodal LLM For 39 Languages (2024) • No Venue
  Yue et al.
• RULER: What's The Real Context Size Of Your Long-context Language Models? (2024) • No Venue
  Hsieh et al.
• LLM-IE: A Python Package For Generative Information Extraction With Large Language Models (2024) • JAMIA Open • 10 citations
  Enshuo Hsu, Kirk Roberts
• Videorefer Suite: Advancing Spatial-temporal Object Understanding With Video LLM (2024) • No Venue
  Yuan et al.
• Inflation With Diffusion: Efficient Temporal Adaptation For Text-to-video Super-resolution (2024) • No Venue
  Yuan et al.
• Omnimedvqa: A New Large-scale Comprehensive Evaluation Benchmark For Medical LVLM (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Hu et al.
• Exploring Model Kinship For Merging Large Language Models (2024) • No Venue
  Hu et al.
• New Desiderata For Direct Preference Optimization (2024) • No Venue
  Xiangkun Hu, Tong He, David Wipf
• Findings Of The Second Babylm Challenge: Sample-efficient Pretraining On Developmentally Plausible Corpora (2024) • Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning • 28 citations
  Hu et al.
• Prompt Perturbation In Retrieval-augmented Generation Based Large Language Models (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 14 citations
  Hu et al.
• Psycollm: Enhancing LLM For Psychological Understanding And Evaluation (2024) • IEEE Transactions on Computational Social Systems • 13 citations
  Hu et al.
• The Dawn Of GUI Agent: A Preliminary Case Study With Claude 3.5 Computer Use (2024) • No Venue
  Hu et al.
• Snapgen: Taming High-resolution Text-to-image Models For Mobile Devices With Efficient Architectures And Training (2024) • No Venue
  Hu et al.
• Wavllm: Towards Robust And Adaptive Speech Large Language Model (2024) • No Venue
  Hu et al.
• Large Language Models In Mental Health Care: A Scoping Review (2024) • Current Treatment Options in Psychiatry • 11 citations
  Hua et al.
• V2xum-llm: Cross-modal Video Summarization With Temporal Prompt Instruction Tuning (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 14 citations
  Hua et al.
• Generating Educational Materials With Different Levels Of Readability Using Llms (2024) • In2Writing '24: The Third Workshop on Intelligent and Interactive Writing Assistants • 17 citations
  Chieh-Yang Huang, Jing Wei, Ting-Hao 'Kenneth' Huang
• Deciphering Cross-modal Alignment In Large Vision-language Models With Modality Integration Rate (2024) • No Venue
  Huang et al.
• Autocrawler: A Progressive Understanding Web Agent For Web Crawler Generation (2024) • No Venue
  Huang et al.
• Billm: Pushing The Limit Of Post-training Quantization For Llms (2024) • No Venue
  Huang et al.
• Can Knowledge Editing Really Correct Hallucinations? (2024) • No Venue
  Huang et al.
• Compression Represents Intelligence Linearly (2024) • No Venue
  Huang et al.
• Creativesynth: Creative Blending And Synthesis Of Visual Arts Based On Multimodal Diffusion (2024) • No Venue
  Huang et al.
• From Explainable To Interpretable Deep Learning For Natural Language Processing In Healthcare: How Far From Reality? (2024) • Computational and Structural Biotechnology Journal • 30 citations
  Huang et al.
• Genmac: Compositional Text-to-video Generation With Multi-agent Collaboration (2024) • No Venue
  Huang et al.
• LITA: Language Instructed Temporal-localization Assistant (2024) • No Venue
  Huang et al.
• Pointinfinity: Resolution-invariant Point Diffusion Models (2024) • No Venue
  Huang et al.
• O1 Replication Journey -- Part 2: Surpassing O1-preview Through Simple Distillation, Big Progress Or Bitter Lesson? (2024) • No Venue
  Huang et al.
• Mmevalpro: Calibrating Multimodal Benchmarks Towards Trustworthy And Efficient Evaluation (2024) • No Venue
  Huang et al.
• Piccolo2: General Text Embedding With Multi-task Hybrid Loss Training (2024) • No Venue
  Huang et al.
• ORLM: A Customizable Framework In Training Large Models For Automated Optimization Modeling (2024) • Operations Research • 10 citations
  Huang et al.
• Visual Hallucinations Of Multi-modal Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Huang et al.
• Vbench++: Comprehensive And Versatile Benchmark Suite For Video Generative Models (2024) • No Venue
  Huang et al.
• Bigcodebench: Benchmarking Code Generation With Diverse Function Calls And Complex Instructions (2024) • No Venue
  Zhuo et al.
• R-judge: Benchmarking Safety Risk Awareness For LLM Agents (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 18 citations
  Yuan et al.
• Remamba: Equip Mamba With Effective Long-sequence Modeling (2024) • No Venue
  Yuan et al.
• Ditfastattn: Attention Compression For Diffusion Transformer Models (2024) • No Venue
  Yuan et al.
• Chronomagic-bench: A Benchmark For Metamorphic Evaluation Of Text-to-time-lapse Video Generation (2024) • No Venue
  Yuan et al.
• Chatmusician: Understanding And Generating Music Intrinsically With LLM (2024) • No Venue
  Yuan et al.
• Hq-edit: A High-quality Dataset For Instruction-based Image Editing (2024) • No Venue
  Hui et al.
• Texgen: Text-guided 3D Texture Generation With Multi-view Sampling And Resampling (2024) • No Venue
  Huo et al.
• The Promise And Challenges Of Using Llms To Accelerate The Screening Process Of Systematic Reviews (2024) • EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering • 12 citations
  Huotala et al.
• Maggie: Masked Guided Gradual Human Instance Matting (2024) • No Venue
  Huynh et al.
• Noteeline: Supporting Real-time Notetaking From Keypoints With Large Language Models (2024) • No Venue
  Huq et al.
• Prosa: Assessing And Understanding The Prompt Sensitivity Of Llms (2024) • No Venue
  Zhuo et al.
• Simple And Scalable Strategies To Continually Pre-train Large Language Models (2024) • No Venue
  Ibrahim et al.
• Gitchameleon: Unmasking The Version-switching Capabilities Of Code Generation Models (2024) • No Venue
  Islah et al.
• Agent-as-a-judge: Evaluate Agents With Agents (2024) • No Venue
  Zhuge et al.
• Visage: A Global-scale Analysis Of Visual Stereotypes In Text-to-image Generation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Jha et al.
• Language Models For Code Completion: A Practical Evaluation (2024) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 43 citations
  Izadi et al.
• Evaluating The Application Of Large Language Models To Generate Feedback In Programming Education (2024) • 2024 IEEE Global Engineering Education Conference (EDUCON) • 21 citations
  Sven Jacobs, Steffen Jaschke
• Leveraging Lecture Content For Improved Feedback: Explorations With GPT-4 And Retrieval Augmented Generation (2024) • 2024 36th International Conference on Software Engineering Education and Training (CSEE&T) • 10 citations
  Sven Jacobs, Steffen Jaschke
• Coverbench: A Challenging Benchmark For Complex Claim Verification (2024) • No Venue
  Jacovi et al.
• A Hybrid Transformer And Attention Based Recurrent Neural Network For Robust And Interpretable Sentiment Analysis Of Tweets (2024) • Scientific Reports • 35 citations
  Jahin et al.
• Modulated Intervention Preference Optimization (MIPO): Keep The Easy, Refine The Difficult (2024) • No Venue
  Cheolhun Jang
• Large Language Models For Uavs: Current State And Pathways To The Future (2024) • IEEE Open Journal of Vehicular Technology • 67 citations
  Shumaila Javaid, Nasir Saeed, Bin He
• Characterizing Prompt Compression Methods For Long Context Inference (2024) • No Venue
  Jha et al.
• Improving Medical Reasoning Through Retrieval And Self-reflection With Retrieval-augmented Large Language Models (2024) • Bioinformatics • 65 citations
  Jeong et al.
• Evaluation Of Openai O1: Opportunities And Challenges Of AGI (2024) • Arxiv • 20 citations
  Zhong et al.
• Turtlebench: Evaluating Top Language Models Via Real-world Yes/no Puzzles (2024) • No Venue
  Yu et al.
• Rag-rlrc-laysum At Biolaysumm: Integrating Retrieval-augmented Generation And Readability Control For Layman Summarization Of Biomedical Texts (2024) • Proceedings of the 23rd Workshop on Biomedical Natural Language Processing • 15 citations
  Ji et al.
• Mitigating The Risk Of Health Inequity Exacerbated By Large Language Models (2024) • npj Digital Medicine • 15 citations
  Ji et al.
• LEOPARD : A Vision Language Model For Text-rich Multi-image Tasks (2024) • No Venue
  Jia et al.
• A Survey On Large Language Models For Code Generation (2024) • ACM Transactions on Software Engineering and Methodology • 23 citations
  Jiang et al.
• E5-V: Universal Embeddings With Multimodal Large Language Models (2024) • No Venue
  Jiang et al.
• Genres: Rethinking Evaluation For Generative Relation Extraction In The Era Of Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Jiang et al.
• Genai Arena: An Open Evaluation Platform For Generative Models (2024) • No Venue
  Jiang et al.
• Hal-eval: A Universal And Fine-grained Hallucination Evaluation Framework For Large Vision Language Models (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 17 citations
  Jiang et al.
• Mora: High-rank Updating For Parameter-efficient Fine-tuning (2024) • No Venue
  Jiang et al.
• Mmsearch: Benchmarking The Potential Of Large Models As Multi-modal Search Engines (2024) • No Venue
  Jiang et al.
• Minference 1.0: Accelerating Pre-filling For Long-context Llms Via Dynamic Sparse Attention (2024) • No Venue
  Jiang et al.
• Researchtown: Simulator Of Human Research Community (2024) • No Venue
  Yu et al.
• Wildteaming At Scale: From In-the-wild Jailbreaks To (adversarially) Safer Language Models (2024) • No Venue
  Jiang et al.
• RATIONALYST: Pre-training Process-supervision For Improving Reasoning (2024) • No Venue
  Jiang et al.
• BASE TTS: Lessons From Building A Billion-parameter Text-to-speech Model On 100K Hours Of Data (2024) • No Venue
  Łajszczak et al.
• Texthawk: Exploring Efficient Fine-grained Perception Of Multimodal Large Language Models (2024) • No Venue
  Yu et al.
• Mm-vet V2: A Challenging Benchmark To Evaluate Large Multimodal Models For Integrated Capabilities (2024) • No Venue
  Yu et al.
• Humaneval Pro And MBPP Pro: Evaluating Large Language Models On Self-invoking Code Generation (2024) • No Venue
  Yu et al.
• Outcome-refining Process Supervision For Code Generation (2024) • No Venue
  Yu et al.
• Lexc-gen: Generating Data For Extremely Low-resource Languages With Large Language Models And Bilingual Lexicons (2024) • No Venue
  Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach
• Img-diff: Contrastive Data Synthesis For Multimodal Large Language Models (2024) • No Venue
  Jiao et al.
• Hidden Flaws Behind Expert-level Accuracy Of Multimodal GPT-4 Vision In Medicine (2024) • npj Digital Medicine • 82 citations
  Jin et al.
• A Comprehensive Evaluation Of Quantization Strategies For Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 27 citations
  Jin et al.
• Graph Chain-of-thought: Augmenting Large Language Models By Reasoning On Graphs (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 19 citations
  Jin et al.
• Can Chatgpt Support Developers? An Empirical Evaluation Of Large Language Models For Code Generation (2024) • MSR '24: 21st International Conference on Mining Software Repositories • 15 citations
  Jin et al.
• Flashrag: A Modular Toolkit For Efficient Retrieval-augmented Generation Research (2024) • WWW '25: The ACM Web Conference 2025 • 11 citations
  Jin et al.
• Law Of The Weakest Link: Cross Capabilities Of Large Language Models (2024) • No Venue
  Zhong et al.
• Dsbench: How Far Are Data Science Agents To Becoming Data Science Experts? (2024) • No Venue
  Jing et al.
• LOKI: A Comprehensive Synthetic Data Detection Benchmark Using Large Multimodal Models (2024) • No Venue
  Ye et al.
• A Survey On Llm-based Code Generation For Low-resource And Domain-specific Programming Languages (2024) • ACM Transactions on Software Engineering and Methodology • 11 citations
  Sathvik Joel, Jie Jw Wu, Fatemeh H. Fard
• Miradata: A Large-scale Video Dataset With Long Durations And Structured Captions (2024) • No Venue
  Ju et al.
• VARCO-VISION: Expanding Frontiers In Korean Vision-language Models (2024) • No Venue
  Ju et al.
• Pegasus-v1 Technical Report (2024) • No Venue
  Jung et al.
• Using Large Language Models For Generating Smart Contracts For Health Insurance From Textual Policies (2024) • Studies in Computational Intelligence • 10 citations
  Inwon Kang, William van Woensel, Oshani Seneviratne
• LLM Comparator: Visual Analytics For Side-by-side Evaluation Of Large Language Models (2024) • No Venue
  Kahng et al.
• Hypa-rag: A Hybrid Parameter Adaptive Retrieval-augmented Generation System For AI Legal And Policy Applications (2024) • Proceedings of the 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) • 10 citations
  Kalra et al.
• Mission: Impossible Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Kallini et al.
• Fiddler: CPU-GPU Orchestration For Fast Inference Of Mixture-of-experts Models (2024) • No Venue
  Kamahori et al.
• When Can Llms Actually Correct Their Own Mistakes? A Critical Survey Of Self-correction Of Llms (2024) • Transactions of the Association for Computational Linguistics • 21 citations
  Kamoi et al.
• Self-moe: Towards Compositional Large Language Models With Self-specialized Experts (2024) • No Venue
  Kang et al.
• Fastvoicegrad: One-step Diffusion-based Voice Conversion With Adversarial Conditional Diffusion Distillation (2024) • No Venue
  Kaneko et al.
• Omniact: A Dataset And Benchmark For Enabling Multimodal Generalist Autonomous Agents For Desktop And Web (2024) • No Venue
  Kapoor et al.
• MEDIC: Towards A Comprehensive Framework For Evaluating Llms In Clinical Applications (2024) • No Venue
  Kanithi et al.
• Prismatic Vlms: Investigating The Design Space Of Visually-conditioned Language Models (2024) • No Venue
  Karamcheti et al.
• Using Large Language Models To Understand Telecom Standards (2024) • 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) • 14 citations
  Karapantelakis et al.
• Tailoring Education With Genai: A New Horizon In Lesson Planning (2024) • 2024 IEEE Global Engineering Education Conference (EDUCON) • 13 citations
  Karpouzis et al.
• Comprehensive Evaluation And Insights Into The Use Of Large Language Models In The Automation Of Behavior-driven Development Acceptance Test Formulation (2024) • IEEE Access • 19 citations
  Karpurapu et al.
• Guiding A Diffusion Model With A Bad Version Of Itself (2024) • No Venue
  Karras et al.
• Knowledge Navigator: Llm-guided Browsing Framework For Exploratory Search In Scientific Literature (2024) • No Venue
  Uri Katz, Mosh Levy, Yoav Goldberg
• Codeaid: Evaluating A Classroom Deployment Of An Llm-based Programming Assistant That Balances Student And Educator Needs (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 163 citations
  Kazemitabaar et al.
• Video Depth Without Video Models (2024) • No Venue
  Ke et al.
• Introducing Cosmosgpt: Monolingual Training For Turkish Language Models (2024) • 2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) • 12 citations
  Kesgin et al.
• Grounding And Evaluation For Large Language Models: Practical Challenges And Lessons Learned (survey) (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 19 citations
  Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
• Advancing NLP Models With Strategic Text Augmentation: A Comprehensive Study Of Augmentation Methods And Curriculum Strategies (2024) • Natural Language Processing Journal • 10 citations
  Himmet Toprak Kesgin, Mehmet Fatih Amasyali
• GTR: Improving Large 3D Reconstruction Models Through Geometry And Texture Refinement (2024) • No Venue
  Zhuang et al.
• RAGAR, Your Falsehood Radar: Rag-augmented Reasoning For Political Fact-checking Using Multimodal Large Language Models (2024) • Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER) • 13 citations
  Khaliq et al.
• Clipping The Deception: Adapting Vision-language Models For Universal Deepfake Detection (2024) • ICMR '24: International Conference on Multimedia Retrieval • 39 citations
  Sohail Ahmed Khan, Duc-Tien Dang-Nguyen
• Transformers And Large Language Models For Efficient Intrusion Detection Systems: A Comprehensive Survey (2024) • Information Fusion • 63 citations
  Hamza Kheddar
• Learning To Prompt With Text Only Supervision For Vision-language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Khattak et al.
• Llms In The Loop: Leveraging Large Language Model Annotations For Active Learning In Low-resource Languages (2024) • Lecture Notes in Computer Science • 11 citations
  Kholodna et al.
• Leveraging Llms For Unsupervised Dense Retriever Ranking (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 18 citations
  Khramtsova et al.
• Medexqa: Medical Question Answering Benchmark With Multiple Explanations (2024) • Proceedings of the 23rd Workshop on Biomedical Natural Language Processing • 15 citations
  Kim et al.
• Cognitive Map For Language Models: Optimal Planning Via Verbally Representing The World Model (2024) • No Venue
  Kim et al.
• Dialsim: A Real-time Simulator For Evaluating Long-term Dialogue Understanding Of Conversational Agents (2024) • No Venue
  Kim et al.
• Fifo-diffusion: Generating Infinite Videos From Text Without Training (2024) • No Venue
  Kim et al.
• Evaluating Language Models As Synthetic Data Generators (2024) • No Venue
  Kim et al.
• Husky: A Unified, Open-source Language Agent For Multi-step Reasoning (2024) • No Venue
  Kim et al.
• Prometheus 2: An Open Source Language Model Specialized In Evaluating Other Language Models (2024) • No Venue
  Kim et al.
• THEANINE: Revisiting Memory Management In Long-term Conversations With Timeline-augmented Response Generation (2024) • No Venue
  Kim et al.
• Ferret-ui: Grounded Mobile UI Understanding With Multimodal Llms (2024) • No Venue
  You et al.
• Arabicmmlu: Assessing Massive Multitask Language Understanding In Arabic (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Koto et al.
• Is Bigger Edit Batch Size Always Better? -- An Empirical Study On Model Editing With Llama-3 (2024) • No Venue
  Junsang Yoon, Akshat Gupta, Gopala Anumanchipalli
• Multi-lora Composition For Image Generation (2024) • No Venue
  Zhong et al.
• Text-to-image Diffusion Models Are Great Sketch-photo Matchmakers (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Koley et al.
• Visualwebarena: Evaluating Multimodal Agents On Realistic Visual Web Tasks (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Koh et al.
• A Superalignment Framework In Autonomous Driving With Large Language Models (2024) • 2024 IEEE Intelligent Vehicle Symposium (IV) • 10 citations
  Kong et al.
• Audio Flamingo: A Novel Audio Language Model With Few-shot Learning And Dialogue Abilities (2024) • No Venue
  Kong et al.
• Logparser-llm: Advancing Efficient Log Parsing With Large Language Models (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 24 citations
  Zhong et al.
• Semantic Entropy Probes: Robust And Cheap Hallucination Detection In Llms (2024) • No Venue
  Kossen et al.
• The Impact Of Example Selection In Few-shot Prompting On Automated Essay Scoring Using GPT Models (2024) • Communications in Computer and Information Science • 11 citations
  Lui Yoshida
• Balancing Pipeline Parallelism With Vocabulary Parallelism (2024) • No Venue
  Yeung et al.
• Open Source Language Models Can Provide Feedback: Evaluating Llms' Ability To Help Students Using Gpt-4-as-a-judge (2024) • ITiCSE 2024: Innovation and Technology in Computer Science Education • 28 citations
  Koutcheme et al.
• Atp*: An Efficient And Scalable Method For Localizing LLM Behaviour To Components (2024) • No Venue
  Kramár et al.
• Fact, Fetch, And Reason: A Unified Evaluation Of Retrieval-augmented Generation (2024) • No Venue
  Krishna et al.
• Using Llms In Software Requirements Specifications: An Empirical Evaluation (2024) • 2024 IEEE 32nd International Requirements Engineering Conference (RE) • 46 citations
  Krishna et al.
• Natural Language Understanding And Inference With MLLM In Visual Question Answering: A Survey (2024) • ACM Computing Surveys • 21 citations
  Kuang et al.
• Can Large Language Models Unlock Novel Scientific Research Ideas? (2024) • No Venue
  Kumar et al.
• Improving Visual Commonsense In Language Models Via Multiple Image Generation (2024) • No Venue
  Yariv et al.
• Babilong: Testing The Limits Of Llms With Long Context Reasoning-in-a-haystack (2024) • No Venue
  Kuratov et al.
• In Search Of Needles In A 10M Haystack: Recurrent Memory Finds What Llms Miss (2024) • No Venue
  Kuratov et al.
• "give Me BF16 Or Give Me Death"? Accuracy-performance Trade-offs In LLM Quantization (2024) • No Venue
  Kurtic et al.
• Summary Of A Haystack: A Challenge To Long-context Llms And RAG Systems (2024) • No Venue
  Laban et al.
• Biomistral: A Collection Of Open-source Pretrained Large Language Models For Medical Domains (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 136 citations
  Labrak et al.
• Direct Preference Optimization Using Sparse Feature-level Constraints (2024) • No Venue
  Yin et al.
• Thanos: Enhancing Conversational Agents With Skill-of-mind-infused Large Language Model (2024) • No Venue
  Lee et al.
• Step-dpo: Step-wise Preference Optimization For Long-chain Reasoning Of Llms (2024) • No Venue
  Lai et al.
• TÜLU 3: Pushing Frontiers In Open Language Model Post-training (2024) • No Venue
  Lambert et al.
• Concept Induction: Analyzing Unstructured Text With High-level Concepts Using Lloom (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 27 citations
  Lam et al.
• Rewardbench: Evaluating Reward Models For Language Modeling (2024) • No Venue
  Lambert et al.
• Narrowing The Knowledge Evaluation Gap: Open-domain Question Answering With Multi-granularity Answers (2024) • No Venue
  Gal Yona, Roee Aharoni, Mor Geva
• Traj-llm: A New Exploration For Empowering Trajectory Prediction With Pre-trained Large Language Models (2024) • IEEE Transactions on Intelligent Vehicles • 33 citations
  Lan et al.
• Adaptmllm: Fine-tuning Multilingual Language Models On Low-resource Languages With Integrated LLM Playgrounds (2024) • Information • 25 citations
  Séamus Lankford, Haithem Afli, Andy Way
• Human Evaluation Of English--irish Transformer-based NMT (2024) • Information • 12 citations
  Séamus Lankford, Haithem Afli, Andy Way
• A Systematic Survey And Critical Review On Evaluating Large Language Models: Challenges, Limitations, And Recommendations (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 35 citations
  Laskar et al.
• Melting Point: Mobile Evaluation Of Language Transformers (2024) • ACM MobiCom '24: 30th Annual International Conference on Mobile Computing and Networking • 15 citations
  Laskaridis et al.
• What Matters When Building Vision-language Models? (2024) • No Venue
  Laurençon et al.
• Knowledge Graphs, Large Language Models, And Hallucinations: An NLP Perspective (2024) • Journal of Web Semantics • 32 citations
  Lavrinovics et al.
• Tender: Accelerating Large Language Models Via Tensor Decomposition And Runtime Requantization (2024) • 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) • 28 citations
  Jungi Lee, Wonbeom Lee, Jaewoong Sim
• A Comprehensive Evaluation Of Quantized Instruction-tuned Large Language Models: An Experimental Analysis Up To 405B (2024) • No Venue
  Lee et al.
• Intriguing Properties Of Large Language And Vision Models (2024) • No Venue
  Lee et al.
• Multimodal Large Language Models For Phishing Webpage Detection And Identification (2024) • 2024 APWG Symposium on Electronic Crime Research (eCrime) • 13 citations
  Lee et al.
• Meteor: Mamba-based Traversal Of Rationale For Large Language And Vision Models (2024) • No Venue
  Lee et al.
• Prometheus-vision: Vision-language Model As A Judge For Fine-grained Evaluation (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 12 citations
  Lee et al.
• Stark: Social Long-term Multi-modal Conversation With Persona Commonsense Knowledge (2024) • No Venue
  Lee et al.
• Speech-massive: A Multilingual Speech Dataset For SLU And Beyond (2024) • No Venue
  Lee et al.
• MMAU: A Holistic Benchmark Of Agent Capabilities Across Diverse Domains (2024) • No Venue
  Yin et al.
• Videorepair: Improving Text-to-video Generation Via Misalignment Evaluation And Localized Refinement (2024) • No Venue
  Lee et al.
• Unleashing Large Language Models' Proficiency In Zero-shot Essay Scoring (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 14 citations
  Lee et al.
• Toward Robust Hyper-detailed Image Captioning: A Multiagent Approach And Dual Evaluation Metrics For Factuality And Coverage (2024) • No Venue
  Lee et al.
• The Curse Of Multi-modalities: Evaluating Hallucinations Of Large Multimodal Models Across Language, Visual, And Audio (2024) • No Venue
  Leng et al.
• Video-panda: Parameter-efficient Alignment For Encoder-free Video-language Models (2024) • No Venue
  Yi et al.
• Beyond A*: Better Planning With Transformers Via Search Dynamics Bootstrapping (2024) • No Venue
  Lehnert et al.
• Songcreator: Lyrics-based Universal Song Generation (2024) • No Venue
  Lei et al.
• Same Task, More Tokens: The Impact Of Input Length On The Reasoning Performance Of Large Language Models (2024) • No Venue
  Mosh Levy, Alon Jacoby, Yoav Goldberg
• Datacomp-lm: In Search Of The Next Generation Of Training Sets For Language Models (2024) • No Venue
  Li et al.
• Aligning Diffusion Models By Optimizing Human Utility (2024) • No Venue
  Li et al.
• A Survey On The Honesty Of Large Language Models (2024) • No Venue
  Li et al.
• Advancing Spatial Reasoning In Large Language Models: An In-depth Evaluation And Enhancement Using The Stepgame Benchmark (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 19 citations
  Fangjun Li, David C. Hogg, Anthony G. Cohn
• Brushedit: All-in-one Image Inpainting And Editing (2024) • No Venue
  Li et al.
• Codes: Towards Building Open-source Language Models For Text-to-sql (2024) • Proceedings of the ACM on Management of Data • 55 citations
  Li et al.
• More Agents Is All You Need (2024) • No Venue
  Li et al.
• Dual3d: Efficient And Consistent Text-to-3d Generation With Dual-mode Multi-view Latent Diffusion (2024) • No Venue
  Li et al.
• Do Vision-language Transformers Exhibit Visual Commonsense? An Empirical Study Of VCR (2024) • MM '23: The 31st ACM International Conference on Multimedia • 10 citations
  Li et al.
• DTLLM-VLT: Diverse Text Generation For Visual Language Tracking Based On LLM (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 14 citations
  Li et al.
• GMAI-VL & GMAI-VL-5.5M: A Large Vision-language Model And A Comprehensive Multimodal Dataset Towards General Medical AI (2024) • No Venue
  Li et al.
• Hunyuan-dit: A Powerful Multi-resolution Diffusion Transformer With Fine-grained Chinese Understanding (2024) • No Venue
  Li et al.
• K-sort Arena: Efficient And Reliable Benchmarking For Generative Models Via K-wise Human Preferences (2024) • No Venue
  Li et al.
• Llms For Relational Reasoning: How Far Are We? (2024) • LLM4Code '24: 1st International Workshop on Large Language Models for Code • 18 citations
  Li et al.
• Leveraging Large Language Models For NLG Evaluation: Advances And Challenges (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Li et al.
• Large Language Models Can Self-improve In Long-context Reasoning (2024) • No Venue
  Li et al.
• LAION-SG: An Enhanced Large-scale Dataset For Training Complex Image-text Models With Structural Annotations (2024) • No Venue
  Li et al.
• Language Ranker: A Metric For Quantifying LLM Performance Across High And Low-resource Languages (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Li et al.
• Long-context Llms Struggle With Long In-context Learning (2024) • No Venue
  Li et al.
• M3sciqa: A Multi-modal Multi-document Scientific QA Benchmark For Evaluating Foundation Models (2024) • No Venue
  Li et al.
• Seeing And Understanding: Bridging Vision With Chemical Knowledge Via Chemvlm (2024) • No Venue
  Li et al.
• Omniactions: Predicting Digital Actions In Response To Real-world Multimodal Sensory Inputs With Llms (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 19 citations
  Li et al.
• Nearest Neighbor Speculative Decoding For LLM Generation And Attribution (2024) • No Venue
  Li et al.
• Multimodal Arxiv: A Dataset For Improving Scientific Comprehension Of Large Vision-language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Li et al.
• Naturalbench: Evaluating Vision-language Models On Natural Adversarial Samples (2024) • No Venue
  Li et al.
• Needlebench: Can Llms Do Retrieval And Reasoning In 1 Million Context Window? (2024) • No Venue
  Li et al.
• Omnibench: Towards The Future Of Universal Omni-language Models (2024) • No Venue
  Li et al.
• Q-refine: A Perceptual Quality Refiner For Ai-generated Image (2024) • No Venue
  Li et al.
• Playground V2.5: Three Insights Towards Enhancing Aesthetic Quality In Text-to-image Generation (2024) • No Venue
  Li et al.
• Seed-bench-2-plus: Benchmarking Multimodal Large Language Models With Text-rich Visual Comprehension (2024) • No Venue
  Li et al.
• Scbench: A KV Cache-centric Analysis Of Long-context Methods (2024) • No Venue
  Li et al.
• Taptrv2: Attention-based Position Update Improves Tracking Any Point (2024) • No Venue
  Li et al.
• Split To Merge: Unifying Separated Modalities For Unsupervised Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Li et al.
• Synthetic Data (almost) From Scratch: Generalized Instruction Tuning For Language Models (2024) • No Venue
  Li et al.
• Tele-flm Technical Report (2024) • No Venue
  Li et al.
• Temporal Reasoning Transfer From Text To Video (2024) • No Venue
  Li et al.
• Unbounded: A Generative Infinite Game Of Character Life Simulation (2024) • No Venue
  Li et al.
• Unifying Structured Data As Graph For Data-to-text Pre-training (2024) • Transactions of the Association for Computational Linguistics • 11 citations
  Li et al.
• Unipose: A Unified Multimodal Framework For Human Pose Comprehension, Generation And Editing (2024) • No Venue
  Li et al.
• Vlrewardbench: A Challenging Benchmark For Vision-language Generative Reward Models (2024) • No Venue
  Li et al.
• Openstory++: A Large-scale Dataset And Benchmark For Instance-aware Open-domain Visual Storytelling (2024) • No Venue
  Ye et al.
• Prompt Engineering Paradigms For Medical Applications: Scoping Review And Recommendations For Better Practices (2024) • Journal of Medical Internet Research • 71 citations
  Zaghir et al.
• Mplug-owl3: Towards Long Image-sequence Understanding In Multi-modal Large Language Models (2024) • No Venue
  Ye et al.
• How Interpretable Are Reasoning Explanations From Prompting Large Language Models? (2024) • Findings of the Association for Computational Linguistics: NAACL 2024 • 12 citations
  Yeo et al.
• MIRAI: Evaluating LLM Agents For Event Forecasting (2024) • No Venue
  Ye et al.
• Mm-ego: Towards Building Egocentric Multimodal Llms (2024) • No Venue
  Ye et al.
• Openfedllm: Training Large Language Models On Decentralized Private Data Via Federated Learning (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 63 citations
  Ye et al.
• Harnessing Multimodal Large Language Models For Multimodal Sequential Recommendation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Ye et al.
• Galaxy: A Resource-efficient Collaborative Edge AI System For In-situ Transformer Inference (2024) • IEEE INFOCOM 2024 - IEEE Conference on Computer Communications • 24 citations
  Ye et al.
• Revisiting Text-to-image Evaluation With Gecko: On Metrics, Prompts, And Human Ratings (2024) • No Venue
  Wiles et al.
• CBR-RAG: Case-based Reasoning For Retrieval Augmented Generation In Llms For Legal Question Answering (2024) • Lecture Notes in Computer Science • 61 citations
  Wiratunga et al.
• Can Language Models Replace Programmers? REPOCOD Says 'not Yet' (2024) • No Venue
  Liang et al.
• Controllable Text Generation For Large Language Models: A Survey (2024) • No Venue
  Liang et al.
• Internal Consistency And Self-feedback In Large Language Models: A Survey (2024) • No Venue
  Liang et al.
• HEMM: Holistic Evaluation Of Multimodal Foundation Models (2024) • No Venue
  Liang et al.
• Report Cards: Qualitative Evaluation Of Language Models Using Natural Language Summaries (2024) • No Venue
  Yang et al.
• Denoising Vision Transformers (2024) • No Venue
  Yang et al.
• CRAG -- Comprehensive RAG Benchmark (2024) • No Venue
  Yang et al.
• Preference Tuning With Human Feedback On Language, Speech, And Vision Tasks: A Survey (2024) • No Venue
  Winata et al.
• Worldcuisines: A Massive-scale Benchmark For Multilingual And Multicultural Visual Question Answering On Global Cuisines (2024) • No Venue
  Winata et al.
• Automatic Interactive Evaluation For Large Language Models With State Aware Patient Simulator (2024) • Arxiv • 11 citations
  Liao et al.
• Jamba: A Hybrid Transformer-mamba Language Model (2024) • No Venue
  Lieber et al.
• Gemma Scope: Open Sparse Autoencoders Everywhere All At Once On Gemma 2 (2024) • No Venue
  Lieberum et al.
• Rs-moe: A Vision-language Model With Mixture Of Experts For Remote Sensing Image Captioning And Visual Question Answering (2024) • IEEE Transactions on Geoscience and Remote Sensing • 15 citations
  Lin et al.
• From Elements To Design: A Layered Approach For Automatic Graphic Design Composition (2024) • No Venue
  Lin et al.
• Baichuan Alignment Technical Report (2024) • No Venue
  Lin et al.
• Beyond Principlism: Practical Strategies For Ethical AI Use In Research Practices (2024) • AI and Ethics • 13 citations
  Zhicheng Lin
• Evaluating Text-to-visual Generation With Image-to-text Generation (2024) • Lecture Notes in Computer Science • 52 citations
  Lin et al.
• Open-sora Plan: Open-source Large Video Generation Model (2024) • No Venue
  Lin et al.
• Paper Copilot: A Self-evolving And Efficient LLM System For Personalized Academic Assistance (2024) • No Venue
  Lin et al.
• Preflmr: Scaling Up Fine-grained Late-interaction Multi-modal Retrievers (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Lin et al.
• VMAS: Video-to-music Generation Via Semantic Alignment In Web Music Videos (2024) • No Venue
  Lin et al.
• Wildbench: Benchmarking Llms With Challenging Tasks From Real Users In The Wild (2024) • No Venue
  Lin et al.
• Livebench: A Challenging, Contamination-free LLM Benchmark (2024) • No Venue
  White et al.
• Leveraging Llm-respondents For Item Evaluation: A Psychometric Analysis (2024) • British Journal of Educational Technology • 14 citations
  Yunting Liu, Shreya Bhandari, Zachary A. Pardos
• Distilled Decoding 1: One-step Sampling Of Image Auto-regressive Models With Flow Matching (2024) • No Venue
  Liu et al.
• Acemath: Advancing Frontier Math Reasoning With Post-training And Reward Modeling (2024) • No Venue
  Liu et al.
• Chatqa: Building GPT-4 Level Conversational QA Models (2024) • No Venue
  Liu et al.
• Are Your Llms Capable Of Stable Reasoning? (2024) • No Venue
  Liu et al.
• Apigen: Automated Pipeline For Generating Verifiable And Diverse Function-calling Datasets (2024) • No Venue
  Liu et al.
• DDK: Distilling Domain Knowledge For Efficient Large Language Models (2024) • No Venue
  Liu et al.
• GRIN: Gradient-informed Moe (2024) • No Venue
  Liu et al.
• Emollms: A Series Of Emotional Large Language Models And Annotation Tools For Comprehensive Affective Analysis (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 41 citations
  Liu et al.
• E^2-LLM: Efficient And Extreme Length Extension Of Large Language Models (2024) • No Venue
  Liu et al.
• Flowing From Words To Pixels: A Framework For Cross-modality Evolution (2024) • No Venue
  Liu et al.
• Integrating Chemistry Knowledge In Large Language Models Via Prompt Engineering (2024) • Synthetic and Systems Biotechnology • 28 citations
  Liu et al.
• Harnessing Webpage Uis For Text-rich Visual Understanding (2024) • No Venue
  Liu et al.
• Infini-gram: Scaling Unbounded N-gram Language Models To A Trillion Tokens (2024) • No Venue
  Liu et al.
• Kangaroo: Lossless Self-speculative Decoding Via Double Early Exiting (2024) • No Venue
  Liu et al.
• Magicquill: An Intelligent Interactive Image Editing System (2024) • No Venue
  Liu et al.
• Linrec: Linear Attention Mechanism For Long-term Sequential Recommender Systems (2024) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 57 citations
  Liu et al.
• LLM4GEN: Leveraging Semantic Representation Of Llms For Text-to-image Generation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Liu et al.
• Low-resource Court Judgment Summarization For Common Law Systems (2024) • Information Processing & Management • 14 citations
  Liu et al.
• Longgenbench: Long-context Generation Benchmark (2024) • No Venue
  Liu et al.
• Lstprompt: Large Language Models As Zero-shot Time Series Forecasters By Long-short-term Prompting (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 14 citations
  Liu et al.
• Mind Your Step (by Step): Chain-of-thought Can Reduce Performance On Tasks Where Thinking Makes Humans Worse (2024) • No Venue
  Liu et al.
• Medbench: A Comprehensive, Standardized, And Reliable Benchmarking System For Evaluating Chinese Medical Large Language Models (2024) • Big Data Mining and Analytics • 16 citations
  Liu et al.
• Mibench: Evaluating Multimodal Large Language Models Over Multiple Images (2024) • No Venue
  Liu et al.
• Regmix: Data Mixture As Regression For Language Model Pre-training (2024) • No Venue
  Liu et al.
• Part123: Part-aware 3D Reconstruction From A Single-view Image (2024) • No Venue
  Liu et al.
• Sparse Laneformer (2024) • No Venue
  Liu et al.
• Scaffolding Language Learning Via Multi-modal Tutoring Systems With Pedagogical Instructions (2024) • 2024 IEEE Conference on Artificial Intelligence (CAI) • 16 citations
  Liu et al.
• Teach Multimodal Llms To Comprehend Electrocardiographic Images (2024) • No Venue
  Liu et al.
• Question Calibration And Multi-hop Modeling For Temporal Question Answering (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Xue et al.
• Auffusion: Leveraging The Power Of Diffusion And Large Language Models For Text-to-audio Generation (2024) • IEEE/ACM Transactions on Audio, Speech, and Language Processing • 23 citations
  Xue et al.
• Xgen-mm (BLIP-3): A Family Of Open Large Multimodal Models (2024) • No Venue
  Xue et al.
• Powerinfer-2: Fast Large Language Model Inference On A Smartphone (2024) • No Venue
  Xue et al.
• Tinyvla: Towards Fast, Data-efficient Vision-language-action Models For Robotic Manipulation (2024) • IEEE Robotics and Automation Letters • 29 citations
  Wen et al.
• Chatdiet: Empowering Personalized Nutrition-oriented Food Recommender Chatbots Through An Llm-augmented Framework (2024) • Smart Health • 68 citations
  Yang et al.
• Behavior Alignment: A New Perspective Of Evaluating Llm-based Conversational Recommender Systems (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 15 citations
  Dayu Yang, Fumian Chen, Hui Fang
• Prompt-based Personalized Federated Learning For Medical Visual Question Answering (2024) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 10 citations
  Zhu et al.
• Air-bench: Benchmarking Large Audio-language Models Via Generative Comprehension (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Yang et al.
• Compositional Video Generation As Flow Equalization (2024) • No Venue
  Xingyi Yang, Xinchao Wang
• 1.58-bit FLUX (2024) • No Venue
  Yang et al.
• L3GO: Language Agents With Chain-of-3d-thoughts For Generating Unconventional Objects (2024) • No Venue
  Yamada et al.
• Visual Context Window Extension: A New Perspective For Long Video Understanding (2024) • No Venue
  Hongchen Wei, Zhenzhong Chen
• Skywork-moe: A Deep Dive Into Training Techniques For Mixture-of-experts Language Models (2024) • No Venue
  Wei et al.
• 3D-GRAND: A Million-scale Dataset For 3d-llms With Better Grounding And Less Hallucination (2024) • No Venue
  Yang et al.
• KICGPT: Large Language Model With Knowledge In Context For Knowledge Graph Completion (2024) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 38 citations
  Wei et al.
• Omniedit: Building Image Editing Generalist Models Through Specialist Supervision (2024) • No Venue
  Wei et al.
• Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder For Fast, Memory Efficient, And Long Context Finetuning And Inference (2024) • No Venue
  Warner et al.
• Long-form Factuality In Large Language Models (2024) • No Venue
  Wei et al.
• Arctic-snowcoder: Demystifying High-quality Data In Code Pretraining (2024) • No Venue
  Yuxiang Wei, Hojae Han, Rajhans Samdani
• Redpajama: An Open Dataset For Training Large Language Models (2024) • No Venue
  Weber et al.
• Muchomusic: Evaluating Music Understanding In Multimodal Audio-language Models (2024) • No Venue
  Weck et al.
• Evaluating Contextually Personalized Programming Exercises Created With Generative AI (2024) • ICER 2024: ACM Conference on International Computing Education Research • 28 citations
  Logacheva et al.
• AAAR-1.0: Assessing Ai's Potential To Assist Research (2024) • No Venue
  Lou et al.
• Evaluating Large Language Models In Analysing Classroom Dialogue (2024) • npj Science of Learning • 24 citations
  Yun Long, Haifeng Luo, Yu Zhang
• Generative Multi-modal Knowledge Retrieval With Large Language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Long et al.
• On Llms-driven Synthetic Data Generation, Curation, And Evaluation: A Survey (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 60 citations
  Long et al.
• A System For Automated Unit Test Generation Using Large Language Models And Assessment Of Generated Test Suites (2024) • 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) • 10 citations
  Lops et al.
• Seacrowd: A Multilingual Multimodal Data Hub And Benchmark Suite For Southeast Asian Languages (2024) • No Venue
  Lovenia et al.
• The AI Scientist: Towards Fully Automated Open-ended Scientific Discovery (2024) • No Venue
  Lu et al.
• Blending Is All You Need: Cheaper, Better Alternative To Trillion-parameters LLM (2024) • No Venue
  Lu et al.
• Benchmarking Chinese Knowledge Rectification In Large Language Models (2024) • No Venue
  Lu et al.
• A Controlled Study On Long Context Extension And Generalization In Llms (2024) • No Venue
  Lu et al.
• Large Language Models Are Superpositions Of All Characters: Attaining Arbitrary Role-play Via Self-alignment (2024) • No Venue
  Lu et al.
• GPT As Psychologist? Preliminary Evaluations For GPT-4V On Visual Affective Computing (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 18 citations
  Lu et al.
• Generative World Explorer (2024) • No Venue
  Lu et al.
• Llava-mr: Large Language-and-vision Assistant For Video Moment Retrieval (2024) • Arxiv • 98 citations
  Lu et al.
• Wildvision: Evaluating Vision-language Models In The Wild With Human Preferences (2024) • No Venue
  Lu et al.
• Toolsandbox: A Stateful, Conversational, Interactive Evaluation Benchmark For LLM Tool Use Capabilities (2024) • No Venue
  Lu et al.
• Factual Consistency Evaluation Of Summarization In The Era Of Large Language Models (2024) • Expert Systems with Applications • 18 citations
  Zheheng Luo, Qianqian Xie, Sophia Ananiadou
• Assessing Empathy In Large Language Models With Real-world Physician-patient Interactions (2024) • 2024 IEEE International Conference on Big Data (BigData) • 21 citations
  Luo et al.
• Addition Is All You Need For Energy-efficient Language Models (2024) • No Venue
  Hongyin Luo, Wei Sun
• Nus-emo At Semeval-2024 Task 3: Instruction-tuning LLM For Multimodal Emotion-cause Analysis In Conversations (2024) • Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) • 11 citations
  Luo et al.
• Repoagent: An Llm-powered Open-source Framework For Repository-level Code Documentation Generation (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 20 citations
  Luo et al.
• Oneke: A Dockerized Schema-guided LLM Agent-based Knowledge Extraction System (2024) • No Venue
  Luo et al.
• Panosent: A Panoptic Sextuple Extraction Benchmark For Multimodal Conversational Aspect-based Sentiment Analysis (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 17 citations
  Luo et al.
• Videoautoarena: An Automated Arena For Evaluating Large Multimodal Models In Video Analysis Through User Simulation (2024) • No Venue
  Luo et al.
• Vigor: Improving Visual Grounding Of Large Vision Language Models With Fine-grained Reward Modeling (2024) • No Venue
  Yan et al.
• VISA: Reasoning Video Object Segmentation Via Large Language Models (2024) • Lecture Notes in Computer Science • 19 citations
  Yan et al.
• An Object Is Worth 64x64 Pixels: Generating 3D Object Via Image Diffusion (2024) • No Venue
  Yan et al.
• Cogvideox: Text-to-video Diffusion Models With An Expert Transformer (2024) • No Venue
  Yang et al.
• CRUD-RAG: A Comprehensive Chinese Benchmark For Retrieval-augmented Generation Of Large Language Models (2024) • ACM Transactions on Information Systems • 41 citations
  Lyu et al.
• Adapting While Learning: Grounding Llms For Scientific Problems With Intelligent Tool Usage Adaptation (2024) • No Venue
  Lyu et al.
• Cross-context Backdoor Attacks Against Graph Prompt Learning (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 10 citations
  Lyu et al.
• Llmparser: An Exploratory Study On Using Large Language Models For Log Parsing (2024) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 59 citations
  Ma et al.
• 3dsrbench: A Comprehensive 3D Spatial Reasoning Benchmark (2024) • No Venue
  Ma et al.
• Compositional API Recommendation For Library-oriented Code Generation (2024) • ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension • 12 citations
  Ma et al.
• Foundation Models For Music: A Survey (2024) • No Venue
  Ma et al.
• Sit: Exploring Flow And Diffusion-based Generative Models With Scalable Interpolant Transformers (2024) • No Venue
  Ma et al.
• Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey (2024) • ACM Transactions on Information Systems • 20 citations
  Ma et al.
• LLM Agent Operating System (2024) • No Venue
  Mei et al.
• (ir)rationality And Cognitive Biases In Large Language Models (2024) • Royal Society Open Science • 21 citations
  Olivia MacMillan-Scott, Mirco Musolesi
• Hallucination-free? Assessing The Reliability Of Leading AI Legal Research Tools (2024) • Journal of Empirical Legal Studies • 47 citations
  Magesh et al.
• Tango 2: Aligning Diffusion-based Text-to-audio Generations Through Direct Preference Optimization (2024) • No Venue
  Majumder et al.
• Rephrasing The Web: A Recipe For Compute And Data-efficient Language Modeling (2024) • No Venue
  Maini et al.
• Evaluating Very Long-term Conversational Memory Of LLM Agents (2024) • No Venue
  Maharana et al.
• Openmedlm: Prompt Engineering Can Out-perform Fine-tuning In Medical Question-answering With Open-source Large Language Models (2024) • Scientific Reports • 65 citations
  Maharjan et al.
• TOFU: A Task Of Fictitious Unlearning For Llms (2024) • No Venue
  Maini et al.
• A Novel Multi-stage Prompting Approach For Language Agnostic MCQ Generation Using GPT (2024) • Lecture Notes in Computer Science • 11 citations
  Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
• Open Language Data Initiative: Advancing Low-resource Machine Translation For Karakalpak (2024) • No Venue
  Mukhammadsaid Mamasaidov, Abror Shopulatov
• Codemmlu: A Multi-task Benchmark For Assessing Code Understanding Capabilities Of Codellms (2024) • No Venue
  Manh et al.
• Tavgbench: Benchmarking Text To Audible-video Generation (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 10 citations
  Mao et al.
• Magmax: Leveraging Model Merging For Seamless Continual Learning (2024) • Lecture Notes in Computer Science • 10 citations
  Marczak et al.
• Bigger Is Not Always Better: Scaling Properties Of Latent Diffusion Models (2024) • No Venue
  Mei et al.
• Camvig: Camera Aware Image-to-video Generation With Multimodal Transformers (2024) • No Venue
  Marmon et al.
• Eurollm: Multilingual Language Models For Europe (2024) • No Venue
  Martins et al.
• Beware Of Words: Evaluating The Lexical Diversity Of Conversational Llms Using Chatgpt As Case Study (2024) • ACM Transactions on Intelligent Systems and Technology • 12 citations
  Martínez et al.
• Chartinstruct: Instruction Tuning For Chart Comprehension And Reasoning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Masry et al.
• Videohallucer: Evaluating Intrinsic And Extrinsic Hallucinations In Large Video-language Models (2024) • No Venue
  Wang et al.
• From COBIT To ISO 42001: Evaluating Cybersecurity Frameworks For Opportunities, Risks, And Regulatory Compliance In Commercializing Large Language Models (2024) • Computers & Security • 50 citations
  McIntosh et al.
• Inadequacies Of Large Language Model Benchmarks In The Era Of Generative Artificial Intelligence (2024) • IEEE Transactions on Artificial Intelligence • 24 citations
  McIntosh et al.
• Openelm: An Efficient Language Model Family With Open-source Training And Inference Framework (2024) • No Venue
  Mehta et al.
• Frontier Models Are Capable Of In-context Scheming (2024) • Arxiv • 12 citations
  Meinke et al.
• Snap Video: Scaled Spatiotemporal Transformers For Text-to-video Synthesis (2024) • No Venue
  Menapace et al.
• Evaluating Chatgpt-4 Vision On Brazil's National Undergraduate Computer Science Exam (2024) • ACM Transactions on Computing Education • 11 citations
  Nabor C. Mendonça
• MMIU: Multimodal Multi-image Understanding For Evaluating Large Vision-language Models (2024) • No Venue
  Meng et al.
• Towards World Simulator: Crafting Physical Commonsense-based Benchmark For Video Generation (2024) • No Venue
  Meng et al.
• A Survey Of Small Language Models (2024) • No Venue
  Nguyen et al.
• Marco-llm: Bridging Languages Via Massive Multilingual Training For Cross-lingual Enhancement (2024) • No Venue
  Ming et al.
• Hybrid Preferences: Learning To Route Instances For Human Vs. AI Feedback (2024) • No Venue
  Miranda et al.
• A Robot Walks Into A Bar: Can Language Models Serve As Creativity Support Tools For Comedy? An Evaluation Of Llms' Humour Alignment With Comedians (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 27 citations
  Mirowski et al.
• Gsm-symbolic: Understanding The Limitations Of Mathematical Reasoning In Large Language Models (2024) • No Venue
  Mirzadeh et al.
• Are Large Language Models Superhuman Chemists? (2024) • No Venue
  Mirza et al.
• Thought2text: Text Generation From EEG Signal Using Large Language Models (llms) (2024) • Findings of the Association for Computational Linguistics: NAACL 2025 • 10 citations
  Mishra et al.
• Agentinstruct: Toward Generative Teaching With Agentic Flows (2024) • No Venue
  Mitra et al.
• Unsolvable Problem Detection: Evaluating Trustworthiness Of Vision Language Models (2024) • No Venue
  Miyai et al.
• MALT: Improving Reasoning With Multi-agent LLM Training (2024) • No Venue
  Motwani et al.
• Repliqa: A Question-answering Dataset For Benchmarking Llms On Unseen Reference Content (2024) • No Venue
  Monteiro et al.
• An Automatic Question Usability Evaluation Toolkit (2024) • Lecture Notes in Computer Science • 12 citations
  Moore et al.
• Yolov9: Learning What You Want To Learn Using Programmable Gradient Information (2024) • No Venue
  Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
• ROS-LLM: A ROS Framework For Embodied AI With Task Feedback And Structured Reasoning (2024) • No Venue
  Mower et al.
• Bimedix2: Bio-medical Expert LMM For Diverse Medical Modalities (2024) • No Venue
  Mullappilly et al.
• Lhrs-bot: Empowering Remote Sensing With Vgi-enhanced Large Multimodal Language Model (2024) • Lecture Notes in Computer Science • 40 citations
  Muhtar et al.
• TDAG: A Multi-agent Framework Based On Dynamic Task Decomposition And Agent Generation (2024) • Neural Networks • 10 citations
  Wang et al.
• Grouse: A Benchmark To Evaluate Evaluators In Grounded Question Answering (2024) • No Venue
  Muller et al.
• A Pointer Network-based Approach For Joint Extraction And Detection Of Multi-label Multi-class Intents (2024) • No Venue
  Mullick et al.
• Compact Language Models Via Pruning And Knowledge Distillation (2024) • No Venue
  Muralidharan et al.
• Weaver: Foundation Models For Creative Writing (2024) • No Venue
  Wang et al.
• Are Llms Better Than Reported? Detecting Label Errors And Mitigating Their Effect On Model Performance (2024) • No Venue
  Nahum et al.
• Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study Of Generative AI For Computer-supported Collaborative Learning (2024) • Lecture Notes in Computer Science • 10 citations
  Naik et al.
• Aurora-m: The First Open Source Multilingual Language Model Red-teamed According To The U.S. Executive Order (2024) • No Venue
  Nakamura et al.
• Tutor Copilot: A Human-ai Approach For Scaling Real-time Expertise (2024) • No Venue
  Wang et al.
• Dreammatcher: Appearance Matching Self-attention For Semantically-consistent Text-to-image Personalization (2024) • No Venue
  Nam et al.
• Yesbut: A High-quality Annotated Multimodal Dataset For Evaluating Satire Comprehension Capability Of Vision-language Models (2024) • No Venue
  Nandy et al.
• USAT: A Universal Speaker-adaptive Text-to-speech Approach (2024) • IEEE/ACM Transactions on Audio, Speech, and Language Processing • 12 citations
  Wenbin Wang, Yang Song, Sanjay Jha
• Robocasa: Large-scale Simulation Of Everyday Tasks For Generalist Robots (2024) • No Venue
  Nasiriany et al.
• M4gt-bench: Evaluation Benchmark For Black-box Machine-generated Text Detection (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Wang et al.
• Transgpt: Multi-modal Generative Pre-trained Transformer For Transportation (2024) • 2024 International Conference on Computational Linguistics and Natural Language Processing (CLNLP) • 25 citations
  Wang et al.
• Benchmarking Vision Language Models For Cultural Understanding (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Nayak et al.
• Hibou: A Family Of Foundational Vision Transformers For Pathology (2024) • No Venue
  Dmitry Nechaev, Alexey Pchelnikov, Ekaterina Ivanova
• Medfuzz: Exploring The Robustness Of Large Language Models In Medical Question Answering (2024) • No Venue
  Ness et al.
• Clinical Insights: A Comprehensive Review Of Language Models In Medicine (2024) • PLOS Digital Health • 10 citations
  Nikita Neveditsin, Pawan Lingras, Vijay Mago
• Gemini In Reasoning: Unveiling Commonsense In Multimodal Large Language Models (2023) • No Venue
  Yuqing Wang, Yun Zhao
• Generating Valid And Natural Adversarial Examples With Large Language Models (2023) • 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) • 14 citations
  Wang et al.
• A Large Language Model Approach To Educational Survey Feedback Analysis (2023) • International Journal of Artificial Intelligence in Education • 30 citations
  Parker et al.
• Incharacter: Evaluating Personality Fidelity In Role-playing Agents Through Psychological Interviews (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Wang et al.
• ART: Automatic Multi-step Reasoning And Tool-use For Large Language Models (2023) • Arxiv • 47 citations
  Paranjape et al.
• Learning Gain Differences Between Chatgpt And Human Tutor Generated Algebra Hints (2023) • Arxiv • 72 citations
  Zachary A. Pardos, Shreya Bhandari
• Lebenchmark 2.0: A Standardized, Replicable And Enhanced Framework For Self-supervised Representations Of French Speech (2023) • Computer Speech & Language • 11 citations
  Parcollet et al.
• How Far Can Camels Go? Exploring The State Of Instruction Tuning On Open Resources (2023) • Arxiv • 36 citations
  Wang et al.
• Generative Agents: Interactive Simulacra Of Human Behavior (2023) • Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology • 1062 citations
  Park et al.
• Hifi Tuner: High-fidelity Subject-driven Fine-tuning For Diffusion Models (2023) • No Venue
  Wang et al.
• Evaluating GPT-3 Generated Explanations For Hateful Content Moderation (2023) • Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23} • 19 citations
  Wang et al.
• Shall We Pretrain Autoregressive Language Models With Retrieval? A Comprehensive Study (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Wang et al.
• Serial Contrastive Knowledge Distillation For Continual Few-shot Relation Extraction (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 10 citations
  Xinyi Wang, Zitao Wang, Wei Hu
• VIGC: Visual Instruction Generation And Correction (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  Wang et al.
• TRAM: Benchmarking Temporal Reasoning For Large Language Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Yuqing Wang, Yun Zhao
• To See Is To Believe: Prompting GPT-4V For Better Visual Instruction Tuning (2023) • No Venue
  Wang et al.
• Solo: Data Discovery Using Natural Language Questions Via A Self-supervised Approach (2023) • Proceedings of the ACM on Management of Data • 10 citations
  Qiming Wang, Raul Castro Fernandez
• Reason2drive: Towards Interpretable And Chain-based Reasoning For Autonomous Driving (2023) • Lecture Notes in Computer Science • 24 citations
  Nie et al.
• Distilling Large Language Models For Matching Patients To Clinical Trials (2023) • Journal of the American Medical Informatics Association • 48 citations
  Nievas et al.
• Skyscript: A Large And Semantically Diverse Vision-language Dataset For Remote Sensing (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 59 citations
  Wang et al.
• Shepherd: A Critic For Language Model Generation (2023) • No Venue
  Wang et al.
• Ragtruth: A Hallucination Corpus For Developing Trustworthy Retrieval-augmented Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 32 citations
  Niu et al.
• Evaluating GPT-3.5 And GPT-4 Models On Brazilian University Admission Exams (2023) • Arxiv • 24 citations
  Nunes et al.
• Capabilities Of GPT-4 On Medical Challenge Problems (2023) • Arxiv • 485 citations
  Nori et al.
• Scimon: Scientific Inspiration Machines Optimized For Novelty (2023) • Arxiv • 10 citations
  Wang et al.
• Recmind: Large Language Model Powered Agent For Recommendation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 46 citations
  Wang et al.
• Rethinking The Evaluation For Conversational Recommendation In The Era Of Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 48 citations
  Wang et al.
• Rolellm: Benchmarking, Eliciting, And Enhancing Role-playing Abilities Of Large Language Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 64 citations
  Wang et al.
• Meta Compositional Referring Expression Segmentation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Xu et al.
• JARVIS-1: Open-world Multi-task Agents With Memory-augmented Multimodal Language Models (2023) • No Venue
  Wang et al.
• Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation And Beyond (2023) • IEEE Transactions on Knowledge and Data Engineering • 28 citations
  Xu et al.
• Drivegpt4: Interpretable End-to-end Autonomous Driving Via Large Language Model (2023) • IEEE Robotics and Automation Letters • 240 citations
  Xu et al.
• Is Chatgpt A Good Sentiment Analyzer? A Preliminary Study (2023) • Arxiv • 78 citations
  Wang et al.
• A Preliminary Evaluation Of Chatgpt For Zero-shot Dialogue Understanding (2023) • Arxiv • 21 citations
  Pan et al.
• Llm4vis: Explainable Visualization Recommendation Using Chatgpt (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 23 citations
  Wang et al.
• Toward Verifiable And Reproducible Human Evaluation For Text-to-image Generation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 44 citations
  Otani et al.
• Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 69 citations
  Xu et al.
• Imagereward: Learning And Evaluating Human Preferences For Text-to-image Generation (2023) • Arxiv • 99 citations
  Xu et al.
• Teaching CLIP To Count To Ten (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 41 citations
  Paiss et al.
• Thoughtsource: A Central Hub For Large Language Model Reasoning Data (2023) • Scientific Data • 28 citations
  Ott et al.
• On The Robustness Of Chatgpt: An Adversarial And Out-of-distribution Perspective (2023) • Arxiv • 90 citations
  Wang et al.
• Metacognitive Prompting Improves Understanding In Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 13 citations
  Yuqing Wang, Yun Zhao
• Mitigating Fine-grained Hallucination By Fine-tuning Large Vision-language Models With Caption Rewrites (2023) • Lecture Notes in Computer Science • 23 citations
  Wang et al.
• "i'm Fully Who I Am": Towards Centering Transgender And Non-binary Voices To Measure Biases In Open Language Generation (2023) • FAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency • 28 citations
  Ovalle et al.
• Mental-llm: Leveraging Large Language Models For Mental Health Prediction Via Online Text Data (2023) • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies • 143 citations
  Xu et al.
• Pre-trained Language Model With Prompts For Temporal Knowledge Graph Completion (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 24 citations
  Xu et al.
• Demystifying GPT Self-repair For Code Generation (2023) • No Venue
  Olausson et al.
• Pointllm: Empowering Large Language Models To Understand Point Clouds (2023) • Lecture Notes in Computer Science • 54 citations
  Xu et al.
• Lvlm-ehub: A Comprehensive Evaluation Benchmark For Large Vision-language Models (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 33 citations
  Xu et al.
• Openp5: An Open-source Platform For Developing, Training, And Evaluating Llm-based Recommender Systems (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 19 citations
  Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
• Can Lms Learn New Entities From Descriptions? Challenges In Propagating Injected Knowledge (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Onoe et al.
• Chatanything: Facetime Chat With Llm-enhanced Personas (2023) • No Venue
  Zhao et al.
• Llmseceval: A Dataset Of Natural Language Prompts For Security Evaluations (2023) • 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) • 31 citations
  Tony et al.
• Towards Generalist Foundation Model For Radiology By Leveraging Web-scale 2D&3D Medical Data (2023) • Arxiv • 17 citations
  Wu et al.
• Do Llms Exhibit Human-like Response Biases? A Case Study In Survey Design (2023) • Transactions of the Association for Computational Linguistics • 34 citations
  Tjuatja et al.
• Foundation Metrics For Evaluating Effectiveness Of Healthcare Conversations Powered By Generative AI (2023) • npj Digital Medicine • 132 citations
  Abbasian et al.
• Exploring The State Of The Art In Legal QA Systems (2023) • Journal of Big Data • 31 citations
  Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt
• Let The Llms Talk: Simulating Human-to-human Conversational QA Via Zero-shot Llm-to-llm Interactions (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 54 citations
  Abbasiantaeb et al.
• A Review Of Deep Learning For Video Captioning (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 23 citations
  Abdar et al.
• Judgelm: Fine-tuned Large Language Models Are Scalable Judges (2023) • No Venue
  Lianghui Zhu, Xinggang Wang, Xinlong Wang
• Usersimcrs: A User Simulation Toolkit For Evaluating Conversational Recommender Systems (2023) • Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining • 20 citations
  Afzali et al.
• Masakhanews: News Topic Classification For African Languages (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Adelani et al.
• Trojanpuzzle: Covertly Poisoning Code-suggestion Models (2023) • 2024 IEEE Symposium on Security and Privacy (SP) • 23 citations
  Aghakhani et al.
• Can Knowledge Graphs Reduce Hallucinations In Llms? : A Survey (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 57 citations
  Agrawal et al.
• Towards Human-bot Collaborative Software Architecting With Chatgpt (2023) • Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering • 138 citations
  Ahmad et al.
• Llama 2: Open Foundation And Fine-tuned Chat Models (2023) • No Venue
  Touvron et al.
• Dreamstyler: Paint By Style Inversion With Text-to-image Diffusion Models (2023) • No Venue
  Ahn et al.
• Information Retrieval Meets Large Language Models: A Strategic Report From Chinese IR Community (2023) • AI Open • 55 citations
  Ai et al.
• MEGA: Multilingual Evaluation Of Generative AI (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 82 citations
  Ahuja et al.
• MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models And Tasks (2023) • No Venue
  Ahuja et al.
• Can We Trust The Evaluation On Chatgpt? (2023) • Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023) • 63 citations
  Aiyappa et al.
• The Impact Of Large Language Models On Scientific Discovery: A Preliminary Study Using GPT-4 (2023) • No Venue
  Microsoft Research Ai4science, Microsoft Azure Quantum
• Large Language Models Can Be Lazy Learners: Analyze Shortcuts In In-context Learning (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 20 citations
  Tang et al.
• Struc-bench: Are Large Language Models Really Good At Generating Complex Structured Data? (2023) • No Venue
  Tang et al.
• Exploring The Numerical Reasoning Capabilities Of Language Models: A Comprehensive Analysis On Tabular Data (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Akhtar et al.
• Medagents: Large Language Models As Collaborators For Zero-shot Medical Reasoning (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 63 citations
  Tang et al.
• The Science Of Detecting Llm-generated Texts (2023) • Communications of the ACM • 91 citations
  Ruixiang Tang, Yu-Neng Chuang, Xia Hu
• Video Understanding With Large Language Models: A Survey (2023) • IEEE Transactions on Circuits and Systems for Video Technology • 43 citations
  Tang et al.
• Tokenizer Choice For LLM Training: Negligible Or Crucial? (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 19 citations
  Ali et al.
• Verifai: Verified Generative AI (2023) • Arxiv • 11 citations
  Tang et al.
• Can Language Models Employ The Socratic Method? Experiments With Code Debugging (2023) • SIGCSE 2024: The 55th ACM Technical Symposium on Computer Science Education • 16 citations
  Al-Hossami et al.
• Prediction Of Arabic Legal Rulings Using Large Language Models (2023) • Electronics • 10 citations
  Ammar et al.
• Biocoder: A Benchmark For Bioinformatics Code Generation With Contextual Pragmatic Knowledge (2023) • No Venue
  Tang et al.
• CTP: Towards Vision-language Continual Pretraining Via Compatible Momentum Contrast And Topology Preservation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 18 citations
  Zhu et al.
• Spellburst: A Node-based Interface For Exploratory Creative Coding With Natural Language Prompts (2023) • UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology • 48 citations
  Angert et al.
• Chbias: Bias Evaluation And Mitigation Of Chinese Conversational Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Zhao et al.
• Domain-agnostic Tuning-encoder For Fast Personalization Of Text-to-image Models (2023) • No Venue
  Arar et al.
• Chainforge: A Visual Toolkit For Prompt Engineering And LLM Hypothesis Testing (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 88 citations
  Arawjo et al.
• Llms For Knowledge Graph Construction And Reasoning: Recent Capabilities And Future Opportunities (2023) • World Wide Web • 153 citations
  Zhu et al.
• Explainability For Large Language Models: A Survey (2023) • ACM Transactions on Intelligent Systems and Technology • 372 citations
  Zhao et al.
• Have Llms Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 27 citations
  Daman Arora, Himanshu Gaurav Singh, Mausam
• Language Models Enable Simple Systems For Generating Structured Views Of Heterogeneous Data Lakes (2023) • Proceedings of the VLDB Endowment • 44 citations
  Arora et al.
• Large Language Models For Biomedical Knowledge Graph Construction: Information Extraction From EMR Notes (2023) • Proceedings of the 23rd Workshop on Biomedical Natural Language Processing • 10 citations
  Arsenyan et al.
• Injecting The BM25 Score As Text Improves Bert-based Re-rankers (2023) • Lecture Notes in Computer Science • 19 citations
  Askari et al.
• Faithfulness Tests For Natural Language Explanations (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 14 citations
  Atanasova et al.
• The Chosen One: Consistent Characters In Text-to-image Diffusion Models (2023) • No Venue
  Avrahami et al.
• Openflamingo: An Open-source Framework For Training Large Autoregressive Vision-language Models (2023) • No Venue
  Awadalla et al.
• Foundational Models Defining A New Era In Vision: A Survey And Outlook (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 124 citations
  Awais et al.
• Surrogateprompt: Bypassing The Safety Filter Of Text-to-image Models Via Substitution (2023) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 10 citations
  Ba et al.
• Make-an-animation: Large-scale Text-conditional 3D Human Motion Generation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 35 citations
  Azadi et al.
• Ai-enhanced Auto-correction Of Programming Exercises: How Effective Is GPT-3.5? (2023) • International Journal of Engineering Pedagogy (iJEP) • 27 citations
  Imen Azaiz, Oliver Deckarm, Sven Strickroth
• Sparsity-guided Holistic Explanation For Llms With Interpretable Inference-time Intervention (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 12 citations
  Tan et al.
• User Retention-oriented Recommendation With Decision Transformer (2023) • WWW '23: The ACM Web Conference 2023 • 23 citations
  Zhao et al.
• Slic-hf: Sequence Likelihood Calibration With Human Feedback (2023) • Arxiv • 11 citations
  Zhao et al.
• Knowledge-augmented Large Language Models For Personalized Contextual Query Suggestion (2023) • WWW '24: The ACM Web Conference 2024 • 22 citations
  Baek et al.
• Dreamdiffusion: Generating High-quality Images From Brain EEG Signals (2023) • No Venue
  Bai et al.
• Test Of Time: Instilling Video-language Models With A Sense Of Time (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Piyush Bagad, Makarand Tapaswi, Cees G. M. Snoek
• Can Chatgpt Replace Traditional KBQA Models? An In-depth Analysis Of The Question Answering Performance Of The GPT LLM Family (2023) • Lecture Notes in Computer Science • 70 citations
  Tan et al.
• Longbench: A Bilingual, Multitask Benchmark For Long Context Understanding (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 56 citations
  Bai et al.
• Equivariant Similarity For Vision-language Foundation Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 17 citations
  Wang et al.
• REFINER: Reasoning Feedback On Intermediate Representations (2023) • Arxiv • 31 citations
  Paul et al.
• Seallms -- Large Language Models For Southeast Asia (2023) • No Venue
  Nguyen et al.
• EVJVQA Challenge: Multilingual Visual Question Answering (2023) • Journal of Computer Science and Cybernetics • 14 citations
  Nguyen et al.
• Evaluating Chatgpt's Decimal Skills And Feedback Generation In A Digital Learning Game (2023) • Lecture Notes in Computer Science • 32 citations
  Nguyen et al.
• Utilizing Chatgpt To Enhance Clinical Trial Enrollment (2023) • Arxiv • 11 citations
  Peikos et al.
• Clinical Concept And Relation Extraction Using Prompt-based Machine Reading Comprehension (2023) • Journal of the American Medical Informatics Association • 27 citations
  Peng et al.
• Can Language Models Learn To Listen? (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 24 citations
  Ng et al.
• Document-level Machine Translation With Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 80 citations
  Wang et al.
• Codescope: An Execution-based Multilingual Multitask Multidimensional Benchmark For Evaluating Llms On Code Understanding And Generation (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Yan et al.
• Deeptextmark: A Deep Learning-driven Text Watermarking Approach For Identifying Large Language Model Generated Text (2023) • IEEE Access • 24 citations
  Munyer et al.
• Pg-video-llava: Pixel Grounding Large Video-language Models (2023) • No Venue
  Munasinghe et al.
• Truth Machines: Synthesizing Veracity In AI Language Models (2023) • AI & SOCIETY • 38 citations
  Luke Munn, Liam Magee, Vanicka Arora
• Ai-assisted Code Authoring At Scale: Fine-tuning, Deploying, And Mixed Methods Evaluation (2023) • Proceedings of the ACM on Software Engineering • 14 citations
  Murali et al.
• Social Biases Through The Text-to-image Generation Lens (2023) • AIES '23: AAAI/ACM Conference on AI, Ethics, and Society • 85 citations
  Ranjita Naik, Besmira Nushi
• DERA: Enhancing Large Language Model Completions With Dialog-enabled Resolving Agents (2023) • Proceedings of the 6th Clinical Natural Language Processing Workshop • 17 citations
  Nair et al.
• Emotional Intelligence Of Large Language Models (2023) • Journal of Pacific Rim Psychology • 83 citations
  Wang et al.
• Element-aware Summarization With Large Language Models: Expert-aligned Evaluation And Chain-of-thought Method (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 30 citations
  Yiming Wang, Zhuosheng Zhang, Rui Wang
• Having Beer After Prayer? Measuring Cultural Bias In Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 39 citations
  Naous et al.
• Designing Interpretable ML System To Enhance Trust In Healthcare: A Systematic Review To Proposed Responsible Clinician-ai-collaboration Framework (2023) • Information Fusion • 131 citations
  Nasarian et al.
• Comparing Software Developers With Chatgpt: An Empirical Investigation (2023) • Arxiv • 32 citations
  Nathalia Nascimento, Paulo Alencar, Donald Cowan
• Llmatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization (2023) • GECCO '24: Genetic and Evolutionary Computation Conference • 23 citations
  Nasir et al.
• Stealing The Decoding Algorithms Of Language Models (2023) • CCS '23: ACM SIGSAC Conference on Computer and Communications Security • 12 citations
  Naseh et al.
• Decodingtrust: A Comprehensive Assessment Of Trustworthiness In GPT Models (2023) • No Venue
  Wang et al.
• Chatprcs: A Personalized Support System For English Reading Comprehension Based On Chatgpt (2023) • IEEE Transactions on Learning Technologies • 25 citations
  Wang et al.
• Embodied Multi-modal Agent Trained By An LLM From A Parallel Textworld (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Yang et al.
• Baichuan 2: Open Large-scale Language Models (2023) • No Venue
  Yang et al.
• Specinfer: Accelerating Generative Large Language Model Serving With Tree-based Speculative Inference And Verification (2023) • ASPLOS '24: 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 • 56 citations
  Miao et al.
• Instruction Tuning With GPT-4 (2023) • Arxiv • 185 citations
  Peng et al.
• Alignment For Honesty (2023) • No Venue
  Yang et al.
• Emernerf: Emergent Spatial-temporal Scene Decomposition Via Self-supervision (2023) • No Venue
  Yang et al.
• Factscore: Fine-grained Atomic Evaluation Of Factual Precision In Long Form Text Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 163 citations
  Min et al.
• SILO Language Models: Isolating Legal Risk In A Nonparametric Datastore (2023) • No Venue
  Min et al.
• Efficient Quantization Strategies For Latent Diffusion Models (2023) • No Venue
  Yang et al.
• Exploring The Limits Of Chatgpt For Query Or Aspect-based Text Summarization (2023) • Arxiv • 89 citations
  Yang et al.
• Orca 2: Teaching Small Language Models How To Reason (2023) • No Venue
  Mitra et al.
• State Of What Art? A Call For Multi-prompt LLM Evaluation (2023) • Transactions of the Association for Computational Linguistics • 63 citations
  Mizrahi et al.
• A Comparative Study On E-branchformer Vs Conformer In Speech Recognition, Translation, And Understanding Tasks (2023) • INTERSPEECH 2023 • 10 citations
  Peng et al.
• Med-flamingo: A Multimodal Medical Few-shot Learner (2023) • No Venue
  Moor et al.
• Empower Large Language Model To Perform Better On Industrial Domain-specific Question Answering (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 30 citations
  Yang et al.
• Glyphcontrol: Glyph Conditional Control For Visual Text Generation (2023) • Arxiv • 17 citations
  Yang et al.
• The Refinedweb Dataset For Falcon LLM: Outperforming Curated Corpora With Web Data, And Web Data Only (2023) • No Venue
  Penedo et al.
• Anymal: An Efficient And Scalable Any-modality Augmented Language Model (2023) • No Venue
  Moon et al.
• Few-shot Fine-tuning Vs. In-context Learning: A Fair Comparison And Evaluation (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 50 citations
  Mosbach et al.
• Leandojo: Theorem Proving With Retrieval-augmented Language Models (2023) • No Venue
  Yang et al.
• Holodeck: Language Guided Generation Of 3D Embodied AI Environments (2023) • No Venue
  Yang et al.
• Mentallama: Interpretable Mental Health Analysis On Social Media With Large Language Models (2023) • WWW '24: The ACM Web Conference 2024 • 91 citations
  Yang et al.
• When To Show A Suggestion? Integrating Human Feedback In Ai-assisted Programming (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Mozannar et al.
• Psycot: Psychological Questionnaire As Powerful Chain-of-thought For Personality Detection (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 17 citations
  Yang et al.
• Can Llms Follow Simple Rules? (2023) • No Venue
  Mu et al.
• Generating Benchmarks For Factuality Evaluation Of Language Models (2023) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Muhlgay et al.
• Orca: Progressive Learning From Complex Explanation Traces Of GPT-4 (2023) • No Venue
  Mukherjee et al.
• How Does Generative Retrieval Scale To Millions Of Passages? (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 22 citations
  Pradeep et al.
• Performance Of Chatgpt On The US Fundamentals Of Engineering Exam: Comprehensive Assessment Of Proficiency And Potential Implications For Professional Environmental Engineering Practice (2023) • Computers and Education: Artificial Intelligence • 94 citations
  Vinay Pursnani, Yusuf Sermet, Ibrahim Demir
• An Overview On Language Models: Recent Developments And Outlook (2023) • APSIPA Transactions on Signal and Information Processing • 17 citations
  Wei et al.
• Simple Synthetic Data Reduces Sycophancy In Large Language Models (2023) • No Venue
  Wei et al.
• Jailbroken: How Does LLM Safety Training Fail? (2023) • No Venue
  Alexander Wei, Nika Haghtalab, Jacob Steinhardt
• Uniir: Training And Benchmarking Universal Multimodal Information Retrievers (2023) • Lecture Notes in Computer Science • 14 citations
  Wei et al.
• Llmrec: Large Language Models With Graph Augmentation For Recommendation (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 154 citations
  Wei et al.
• Evaluation Of Chatgpt-generated Medical Responses: A Systematic Review And Meta-analysis (2023) • Journal of Biomedical Informatics • 105 citations
  Wei et al.
• Copiloting The Copilots: Fusing Large Language Models With Completion Engines For Automated Program Repair (2023) • ESEC/FSE '23: 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering • 89 citations
  Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang
• Fully Autonomous Programming With Large Language Models (2023) • GECCO '23: Genetic and Evolutionary Computation Conference • 36 citations
  Liventsev et al.
• LLM Comparative Assessment: Zero-shot NLG Evaluation Through Pairwise Comparisons Using Large Language Models (2023) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Adian Liusie, Potsawee Manakul, Mark J. F. Gales
• Chatbots Put To The Test In Math And Logic Problems: A Preliminary Comparison And Assessment Of Chatgpt-3.5, Chatgpt-4, And Google Bard (2023) • AI • 62 citations
  Vagelis Plevris, George Papazafeiropoulos, Alejandro Jiménez Rios
• A Pretrainer's Guide To Training Data: Measuring The Effects Of Data Age, Domain Coverage, Quality, & Toxicity (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
  Longpre et al.
• Call For Papers -- The Babylm Challenge: Sample-efficient Pretraining On A Developmentally Plausible Corpus (2023) • Arxiv • 16 citations
  Warstadt et al.
• Large Language Model Instruction Following: A Survey Of Progresses And Challenges (2023) • Computational Linguistics • 13 citations
  Renze Lou, Kai Zhang, Wenpeng Yin
• The Flan Collection: Designing Data And Methods For Effective Instruction Tuning (2023) • Arxiv • 109 citations
  Longpre et al.
• Text Rendering Strategies For Pixel Language Models (2023) • No Venue
  Lotz et al.
• Interpretable Long-form Legal Question Answering With Retrieval-augmented Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 52 citations
  Antoine Louis, Gijs van Dijck, Gerasimos Spanakis
• Making Llms Worth Every Penny: Resource-limited Text Classification In Banking (2023) • ICAIF '23: 4th ACM International Conference on AI in Finance • 27 citations
  Loukas et al.
• Negative Object Presence Evaluation (NOPE) To Measure Object Hallucination In Vision-language Models (2023) • Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR) • 18 citations
  Lovenia et al.
• From Concept To Manufacturing: Evaluating Vision-language Models For Engineering Design (2023) • Artificial Intelligence Review • 15 citations
  Picard et al.
• Clinfo.ai: An Open-source Retrieval-augmented Large Language Model System For Answering Medical Questions Using Scientific Literature (2023) • Pacific Symposium on Biocomputing 2024 • 28 citations
  Lozano et al.
• Are Emergent Abilities In Large Language Models Just In-context Learning? (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 21 citations
  Lu et al.
• Llama-reviewer: Advancing Code Review Automation With Large Language Models Through Parameter-efficient Fine-tuning (2023) • 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) • 83 citations
  Lu et al.
• DIALGEN: Collaborative Human-lm Generated Dialogues For Improved Understanding Of Human-human Conversations (2023) • No Venue
  Lu et al.
• Chameleon: Plug-and-play Compositional Reasoning With Large Language Models (2023) • Arxiv • 91 citations
  Lu et al.
• RTLLM: An Open-source Benchmark For Design RTL Generation With Large Language Model (2023) • 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC) • 122 citations
  Lu et al.
• Adapters: A Unified Library For Parameter-efficient And Modular Transfer Learning (2023) • No Venue
  Poth et al.
• SDXL: Improving Latent Diffusion Models For High-resolution Image Synthesis (2023) • No Venue
  Podell et al.
• Mirasol3b: A Multimodal Autoregressive Model For Time-aligned And Contextual Modalities (2023) • No Venue
  Piergiovanni et al.
• Chatgpt As A Factual Inconsistency Evaluator For Text Summarization (2023) • Arxiv • 50 citations
  Zheheng Luo, Qianqian Xie, Sophia Ananiadou
• Orthogonal Adaptation For Modular Customization Of Diffusion Models (2023) • No Venue
  Po et al.
• Prompt-based Editing For Text Style Transfer (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Luo et al.
• Scalable 3D Captioning With Pretrained Models (2023) • No Venue
  Luo et al.
• Recranker: Instruction Tuning Large Language Model As Ranker For Top-k Recommendation (2023) • ACM Transactions on Information Systems • 12 citations
  Luo et al.
• YAYI 2: Multilingual Open-source Large Language Models (2023) • No Venue
  Luo et al.
• Zero-shot Video Moment Retrieval From Frozen Vision-language Models (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 13 citations
  Luo et al.
• Sabi\'a: Portuguese Large Language Models (2023) • Lecture Notes in Computer Science • 51 citations
  Pires et al.
• GPT-4V In Wonderland: Large Multimodal Models For Zero-shot Smartphone GUI Navigation (2023) • No Venue
  Yan et al.
• Codetransocean: A Comprehensive Multilingual Benchmark For Code Translation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Yan et al.
• Re-vilm: Retrieval-augmented Visual Language Model For Zero And Few-shot Image Captioning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 17 citations
  Yang et al.
• Style-aware Radiology Report Generation With Radgraph And Few-shot Prompting (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 13 citations
  Yan et al.
• TEAL: Tokenize And Embed ALL For Multi-modal Large Language Models (2023) • No Venue
  Yang et al.
• Zhongjing: Enhancing The Chinese Medical Capabilities Of Large Language Model Through Expert Feedback And Real-world Multi-turn Dialogue (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 78 citations
  Yang et al.
• Sneakyprompt: Jailbreaking Text-to-image Generative Models (2023) • 2024 IEEE Symposium on Security and Privacy (SP) • 36 citations
  Yang et al.
• TCM-GPT: Efficient Pre-training Of Large Language Models For Domain Adaptation In Traditional Chinese Medicine (2023) • Computer Methods and Programs in Biomedicine Update • 39 citations
  Yang et al.
• Fingpt: Large Generative Models For A Small Language (2023) • No Venue
  Luukkonen et al.
• Gpt4motion: Scripting Physical Motions In Text-to-video Generation Via Blender-oriented GPT Planning (2023) • No Venue
  Lv et al.
• Translating Radiology Reports Into Plain Language Using Chatgpt And GPT-4 With Prompt Learning: Promising Results, Limitations, And Potential (2023) • Visual Computing for Industry, Biomedicine, and Art • 277 citations
  Lyu et al.
• Robust Visual Question Answering: Datasets, Methods, And Future Challenges (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 33 citations
  Ma et al.
• Conceptual Design Generation Using Large Language Models (2023) • ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference • 31 citations
  Ma et al.
• An Iterative Optimizing Framework For Radiology Report Summarization With Chatgpt (2023) • IEEE Transactions on Artificial Intelligence • 50 citations
  Ma et al.
• Query Rewriting For Retrieval-augmented Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 140 citations
  Ma et al.
• Fine-tuning Llama For Multi-stage Text Retrieval (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 67 citations
  Ma et al.
• Lampilot: An Open Benchmark Dataset For Autonomous Driving With Language Model Programs (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 36 citations
  Ma et al.
• LASER: LLM Agent With State-space Exploration For Web Navigation (2023) • No Venue
  Ma et al.
• Towards A Holistic Landscape Of Situated Theory Of Mind In Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Ma et al.
• Automating Human Tutor-style Programming Feedback: Leveraging GPT-4 Tutor Model For Hint Generation And GPT-3.5 Student Model For Hint Validation (2023) • LAK '24: The 14th Learning Analytics and Knowledge Conference • 39 citations
  Phung et al.
• Generative AI For Programming Education: Benchmarking Chatgpt, GPT-4, And Human Tutors (2023) • No Venue
  Phung et al.
• Paloma: A Benchmark For Evaluating Language Model Fit (2023) • No Venue
  Magnusson et al.
• Video-chatgpt: Towards Detailed Video Understanding Via Large Vision And Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 245 citations
  Maaz et al.
• Mathdial: A Dialogue Tutoring Dataset With Rich Pedagogical Properties Grounded In Math Reasoning Problems (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 21 citations
  MacIna et al.
• Teleqna: A Benchmark Dataset To Assess Large Language Models Telecommunications Knowledge (2023) • IEEE Network • 17 citations
  Maatouk et al.
• Opportunities And Challenges In Neural Dialog Tutoring (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 10 citations
  MacIna et al.
• Sieve: Multimodal Dataset Pruning Using Image Captioning Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Mahmoud et al.
• LMDX: Language Model-based Document Information Extraction And Localization (2023) • No Venue
  Perot et al.
• Expertqa: Expert-curated Questions And Attributed Answers (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 14 citations
  Malaviya et al.
• Roco: Dialectic Multi-robot Collaboration With Large Language Models (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 90 citations
  Zhao Mandi, Shreeya Jain, Shuran Song
• Selfcheckgpt: Zero-resource Black-box Hallucination Detection For Generative Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 196 citations
  Potsawee Manakul, Adian Liusie, Mark J. F. Gales
• MQAG: Multiple-choice Question Answering And Generation For Assessing Information Consistency In Summarization (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Potsawee Manakul, Adian Liusie, Mark J. F. Gales
• Model Tuning Or Prompt Tuning? A Study Of Large Language Models For Clinical Concept And Relation Extraction (2023) • Journal of Biomedical Informatics • 51 citations
  Peng et al.
• Large Language Models Know Your Contextual Search Intent: A Prompting Framework For Conversational Search (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 28 citations
  Mao et al.
• Unitrec: A Unified Text-to-text Transformer And Joint Contrastive Learning Framework For Text-based Recommendation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 15 citations
  Mao et al.
• Lingoqa: Visual Question Answering For Autonomous Driving (2023) • Lecture Notes in Computer Science • 33 citations
  Marcu et al.
• Customizing Motion In Text-to-video Diffusion Models (2023) • No Venue
  Materzynska et al.
• Learning To Ground Instructional Articles In Videos Through Narrations (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani
• Improving Automatic VQA Evaluation Using Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Oscar Mañas, Benno Krojer, Aishwarya Agrawal
• Sources Of Hallucination By Large Language Models On Inference Tasks (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 78 citations
  McKenna et al.
• Towards Accurate Differential Diagnosis With Large Language Models (2023) • No Venue
  McDuff et al.
• Autotrial: Prompting Language Models For Clinical Trial Design (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Zifeng Wang, Cao Xiao, Jimeng Sun
• Kosmos-2: Grounding Multimodal Large Language Models To The World (2023) • No Venue
  Peng et al.
• NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Mei et al.
• Using In-context Learning To Improve Dialogue Safety (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Meade et al.
• LLM-RM At Semeval-2023 Task 2: Multilingual Complex NER Using Xlm-roberta (2023) • Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) • 10 citations
  Rahul Mehta, Vasudeva Varma
• Gemini Vs GPT-4V: A Preliminary Comparison And Combination Of Vision-language Models Through Qualitative Cases (2023) • No Venue
  Qi et al.
• Xcodeeval: A Large Scale Multilingual Multitask Benchmark For Code Understanding, Generation, Translation And Retrieval (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
  Khan et al.
• Advancing Neural Encoding Of Portuguese With Transformer Albertina PT-* (2023) • Lecture Notes in Computer Science • 25 citations
  Rodrigues et al.
• Gptaraeval: A Comprehensive Evaluation Of Chatgpt On Arabic NLP (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 30 citations
  Khondaker et al.
• Can Large Language Models Replace Humans In The Systematic Review Process? Evaluating Gpt-4's Efficacy In Screening And Extracting Data From Peer-reviewed And Grey Literature In Multiple Languages (2023) • Research Synthesis Methods • 145 citations
  Khraisha et al.
• Chatgpt Needs SPADE (sustainability, Privacy, Digital Divide, And Ethics) Evaluation: A Review (2023) • Cognitive Computation 2024 • 11 citations
  Khowaja et al.
• Starvector: Generating Scalable Vector Graphics Code From Images (2023) • No Venue
  Rodriguez et al.
• Multimodal Explainable Artificial Intelligence: A Comprehensive Review Of Methodological Advances And Future Research Directions (2023) • IEEE Access • 39 citations
  Rodis et al.
• Sparq Attention: Bandwidth-efficient LLM Inference (2023) • No Venue
  Ribar et al.
• Evallm: Interactive Evaluation Of Large Language Model Prompts On User-defined Criteria (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 48 citations
  Kim et al.
• Dense Text-to-image Generation With Attention Modulation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 92 citations
  Kim et al.
• Fantom: A Benchmark For Stress-testing Machine Theory Of Mind In Interactions (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Kim et al.
• Prometheus: Inducing Fine-grained Evaluation Capability In Language Models (2023) • No Venue
  Kim et al.
• SOLAR 10.7B: Scaling Large Language Models With Simple Yet Effective Depth Up-scaling (2023) • No Venue
  Kim et al.
• Which Is Better? Exploring Prompting Strategy For Llm-based Metrics (2023) • Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems • 15 citations
  Kim et al.
• Commonsense Reasoning For Conversational AI: A Survey Of The State Of The Art (2023) • Arxiv • 10 citations
  Christopher Richardson, Larry Heck
• Improving Knowledge Extraction From Llms For Task Learning Through Agent Analysis (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Kirk et al.
• MELTR: Meta Loss Transformer For Learning To Fine-tune Video Foundation Models (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Ko et al.
• GEMBA-MQM: Detecting Translation Quality Error Spans With GPT-4 (2023) • Proceedings of the Eighth Conference on Machine Translation • 22 citations
  Tom Kocmi, Christian Federmann
• Chatgpt: Jack Of All Trades, Master Of None (2023) • Information Fusion • 506 citations
  Kocoń et al.
• Dreamhuman: Animatable 3D Avatars From Text (2023) • No Venue
  Kolotouros et al.
• Large Language Models Are Better Adversaries: Exploring Generative Clean-label Backdoor Attacks Against Text Classifiers (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Wencong You, Zayd Hammoudeh, Daniel Lowd
• Benchmarking Cognitive Biases In Large Language Models As Evaluators (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 17 citations
  Koo et al.
• Evaluating Large Language Models In Theory Of Mind Tasks (2023) • Proceedings of the National Academy of Sciences • 105 citations
  Michal Kosinski
• Humans Are Still Better Than Chatgpt: Case Of The Ieeextreme Competition (2023) • Heliyon • 27 citations
  Koubaa et al.
• Kandinsky: An Improved Text-to-image Synthesis With Image Prior And Latent Diffusion (2023) • No Venue
  Razzhigaev et al.
• Longeval: Guidelines For Human Evaluation Of Faithfulness In Long-form Summarization (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 24 citations
  Krishna et al.
• Viescore: Towards Explainable Metrics For Conditional Image Synthesis Evaluation (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Ku et al.
• Federatedscope-llm: A Comprehensive Package For Fine-tuning Large Language Models In Federated Learning (2023) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 70 citations
  Kuang et al.
• Self-evaluation Improves Selective Generation In Large Language Models (2023) • No Venue
  Ren et al.
• Representation Learning With Large Language Models For Recommendation (2023) • WWW '24: The ACM Web Conference 2024 • 129 citations
  Ren et al.
• In Generative AI We Trust: Can Chatbots Effectively Verify Political Information? (2023) • Journal of Computational Social Science • 17 citations
  Kuznetsova et al.
• Large Language Models Are Clinical Reasoners: Reasoning-aware Diagnosis Framework With Prompt-generated Rationales (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 27 citations
  Kwon et al.
• Efficient Memory Management For Large Language Model Serving With Pagedattention (2023) • No Venue
  Kwon et al.
• Publicly Shareable Clinical Large Language Model Built On Synthetic Clinical Notes (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Kweon et al.
• Improving Diversity Of Demographic Representation In Large Language Models Via Collective-critiques And Self-voting (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Lahoti et al.
• LISA: Reasoning Segmentation Via Large Language Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 229 citations
  Lai et al.
• Chatgpt Beyond English: Towards A Comprehensive Evaluation Of Large Language Models In Multilingual Learning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 104 citations
  Lai et al.
• Llmlight: Large Language Models As Traffic Signal Control Agents (2023) • KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 16 citations
  Lai et al.
• Okapi: Instruction-tuned Large Language Models In Multiple Languages With Reinforcement Learning From Human Feedback (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 16 citations
  Lai et al.
• On Context Utilization In Summarization With Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Ravaut et al.
• Copy Is All You Need (2023) • No Venue
  Lan et al.
• Visualizing Linguistic Diversity Of Text Datasets Synthesized By Large Language Models (2023) • 2023 IEEE Visualization and Visual Analytics (VIS) • 10 citations
  Emily Reif, Minsuk Kahng, Savvas Petridis
• GPQA: A Graduate-level Google-proof Q&A Benchmark (2023) • No Venue
  Rein et al.
• Building Real-world Meeting Summarization Systems Using Large Language Models: A Practical Perspective (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 19 citations
  Laskar et al.
• Open Sesame! Universal Black Box Jailbreaking Of Large Language Models (2023) • Applied Sciences • 37 citations
  Raz Lapid, Ron Langberg, Moshe Sipper
• A Systematic Study And Comprehensive Evaluation Of Chatgpt On Benchmark Datasets (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 41 citations
  Laskar et al.
• AGI: Artificial General Intelligence For Education (2023) • Arxiv • 36 citations
  Latif et al.
• Temporal Knowledge Graph Forecasting Without Knowledge Using In-context Learning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 22 citations
  Lee et al.
• Beyond Scale: The Diversity Coefficient As A Data Quality Metric Demonstrates Llms Are Pre-trained On Formally Diverse Data (2023) • No Venue
  Alycia Lee, Brando Miranda, Sanmi Koyejo
• CXR-LLAVA: A Multimodal Large Language Model For Interpreting Chest X-ray Images (2023) • European Radiology • 25 citations
  Lee et al.
• Holistic Evaluation Of Text-to-image Models (2023) • No Venue
  Lee et al.
• Prompted Llms As Chatbot Modules For Long Open-domain Conversation (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 21 citations
  Lee et al.
• Tree Of Thoughts: Deliberate Problem Solving With Large Language Models (2023) • No Venue
  Yao et al.
• Evaluating Llms On Document-based QA: Exact Answer Selection And Numerical Extraction Using Cogtale Dataset (2023) • Natural Language Processing Journal • 21 citations
  Rasool et al.
• A Survey On Multimodal Large Language Models (2023) • National Science Review • 345 citations
  Yin et al.
• Woodpecker: Hallucination Correction For Multimodal Large Language Models (2023) • No Venue
  Yin et al.
• Leveraging GPT-4 For Automatic Translation Post-editing (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 24 citations
  Raunak et al.
• Exchange-of-thought: Enhancing Large Language Model Capabilities Through Cross-model Communication (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Yin et al.
• Do Gpts Produce Less Literal Translations? (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 10 citations
  Raunak et al.
• Creating A Dataset For High-performance Computing Code Translation Using Llms: A Bridge Between Openmp Fortran And C++ (2023) • 2023 IEEE High Performance Extreme Computing Conference (HPEC) • 10 citations
  Lei et al.
• Tell2design: A Dataset For Language-guided Floor Plan Generation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Leng et al.
• The Language Of Prompting: What Linguistic Properties Make A Prompt Successful? (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Alina Leidinger, Robert van Rooij, Ekaterina Shutova
• Linguistic Binding In Diffusion Models: Enhancing Attribute Correspondence Through Attention Map Alignment (2023) • Arxiv • 11 citations
  Rassin et al.
• Lora Fine-tuning Efficiently Undoes Safety Training In Llama 2-chat 70B (2023) • No Venue
  Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish
• ACI-BENCH: A Novel Ambient Clinical Intelligence Dataset For Benchmarking Automatic Visit Note Generation (2023) • Scientific Data • 38 citations
  Yim et al.
• Contrastive Graph Prompt-tuning For Cross-domain Recommendation (2023) • ACM Transactions on Information Systems • 16 citations
  Zixuan Yi, Iadh Ounis, Craig MacDonald
• From Text To Multimodal: A Survey Of Adversarial Example Generation In Question Answering Systems (2023) • Knowledge and Information Systems • 10 citations
  Gulsum Yigit, Mehmet Fatih Amasyali
• Acecoder: Utilizing Existing Code To Enhance Code Generation (2023) • Arxiv • 15 citations
  Li et al.
• Api-bank: A Comprehensive Benchmark For Tool-augmented Llms (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 50 citations
  Li et al.
• CMMLU: Measuring Massive Multitask Language Understanding In Chinese (2023) • Arxiv • 16 citations
  Li et al.
• Chatgpt As An Attack Tool: Stealthy Textual Backdoor Attack Via Blackbox Generative Model Trigger (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 19 citations
  Li et al.
• Coannotating: Uncertainty-guided Work Allocation Between Human And Large Language Models For Data Annotation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Li et al.
• Can Chatgpt Assess Human Personalities? A General Evaluation Framework (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 22 citations
  Haocong Rao, Cyril Leung, Chunyan Miao
• MIMIC-IT: Multi-modal In-context Instruction Tuning (2023) • No Venue
  Li et al.
• Ecomgpt: Instruction-tuning Large Language Models With Chain-of-task Tasks For E-commerce (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 18 citations
  Li et al.
• Evaluating Parameter-efficient Transfer Learning Approaches On SURE Benchmark For Speech Understanding (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 15 citations
  Li et al.
• Fairness Of Chatgpt (2023) • Arxiv • 11 citations
  Yunqi Li, Lanjing Zhang, Yongfeng Zhang
• FLM-101B: An Open LLM And How To Train It With $100K Budget (2023) • No Venue
  Li et al.
• Halueval: A Large-scale Hallucination Evaluation Benchmark For Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 162 citations
  Li et al.
• JEN-1: Text-guided Universal Music Generation With Omnidirectional Diffusion Models (2023) • No Venue
  Li et al.
• Large Language Models For Supply Chain Optimization (2023) • No Venue
  Li et al.
• Loogle: Can Long-context Language Models Understand Long Contexts? (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 25 citations
  Li et al.
• Otterhd: A High-resolution Multi-modality Model (2023) • No Venue
  Li et al.
• Modelscope-agent: Building Your Customizable Agent System With Open-source Large Language Models (2023) • No Venue
  Li et al.
• Otter: A Multi-modal Model With In-context Instruction Tuning (2023) • Arxiv • 87 citations
  Li et al.
• Mvbench: A Comprehensive Multi-modal Video Understanding Benchmark (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 166 citations
  Li et al.
• Openba: An Open-sourced 15B Bilingual Asymmetric Seq2seq Model Pre-trained From Scratch (2023) • No Venue
  Li et al.
• Phoneme-level BERT For Enhanced Prosody Of Text-to-speech With Grapheme Predictions (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 14 citations
  Li et al.
• Seed-bench-2: Benchmarking Multimodal Large Language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 99 citations
  Li et al.
• Zeroquant-v2: Exploring Post-training Quantization In Llms From Comprehensive Study To Low Rank Compensation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  Yao et al.
• Teach Llms To Personalize -- An Approach Inspired By Writing Education (2023) • No Venue
  Li et al.
• Structured Chain-of-thought Prompting For Code Generation (2023) • Arxiv • 17 citations
  Li et al.
• Starcoder: May The Source Be With You! (2023) • No Venue
  Li et al.
• Video Instance Matting (2023) • No Venue
  Li et al.
• Unisa: Unified Generative Framework For Sentiment Analysis (2023) • MM '23: The 31st ACM International Conference on Multimedia • 13 citations
  Li et al.
• White-box Multi-objective Adversarial Attack On Dialogue Generation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Li et al.
• Videogen: A Reference-guided Latent Diffusion Approach For High Definition Text-to-video Generation (2023) • No Venue
  Li et al.
• Glamm: Pixel Grounding Large Multimodal Model (2023) • No Venue
  Rasheed et al.
• FABULA: Intelligence Report Generation Using Retrieval-augmented Narrative Construction (2023) • ASONAM '23: International Conference on Advances in Social Networks Analysis and Mining • 10 citations
  Priyanka Ranade, Anupam Joshi
• Tcp:textual-based Class-aware Prompt Tuning For Visual-language Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
  Hantao Yao, Rui Zhang, Changsheng Xu
• Selfeval: Leveraging The Discriminative Nature Of Generative Models For Evaluation (2023) • No Venue
  Sai Saketh Rambhatla, Ishan Misra
• Saynav: Grounding Large Language Models For Dynamic Planning To Navigation In New Environments (2023) • Proceedings of the International Conference on Automated Planning and Scheduling • 37 citations
  Rajvanshi et al.
• Quantized Transformer Language Model Implementations On Edge Devices (2023) • 2023 International Conference on Machine Learning and Applications (ICMLA) • 16 citations
  Rahman et al.
• Whispering Llama: A Cross-modal Generative Error Correction Framework For Speech Recognition (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 24 citations
  Radhakrishnan et al.
• Proknow: Process Knowledge For Safety Constrained And Explainable Question Generation For Mental Health Diagnostic Assistance (2023) • Frontiers in Big Data • 17 citations
  Roy et al.
• AART: Ai-assisted Red-teaming With Diverse Data Generation For New Llm-powered Applications (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 13 citations
  Radharapu et al.
• Robot Learning With Sensorimotor Pre-training (2023) • No Venue
  Radosavovic et al.
• Statler: State-maintaining Language Models For Embodied Reasoning (2023) • No Venue
  Yoneda et al.
• Unsafe Diffusion: On The Generation Of Unsafe Images And Hateful Memes From Text-to-image Models (2023) • CCS '23: ACM SIGSAC Conference on Computer and Communications Security • 50 citations
  Qu et al.
• FLASK: Fine-grained Language Model Evaluation Based On Alignment Skill Sets (2023) • No Venue
  Ye et al.
• Gpt-fathom: Benchmarking Large Language Models To Decipher The Evolutionary Path Towards GPT-4 And Beyond (2023) • No Venue
  Zheng et al.
• Large Language Models Are Versatile Decomposers: Decompose Evidence And Questions For Table-based Reasoning (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 54 citations
  Ye et al.
• Mplug-docowl: Modularized Multimodal Large Language Model For Document Understanding (2023) • No Venue
  Ye et al.
• Consistent-1-to-3: Consistent Image To 3D View Synthesis Via Geometry-aware Diffusion Models (2023) • 2024 International Conference on 3D Vision (3DV) • 31 citations
  Ye et al.
• Enhancing Conversational Search: Large Language Model-aided Informative Query Rewriting (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 15 citations
  Ye et al.
• The Robots Are Here: Navigating The Generative AI Revolution In Computing Education (2023) • ITiCSE 2023: Innovation and Technology in Computer Science Education • 252 citations
  Prather et al.
• Diverse And Aligned Audio-to-video Generation Via Text-to-video Model Adaptation (2023) • No Venue
  Yariv et al.
• A Setwise Approach For Effective And Highly Efficient Zero-shot Ranking With Large Language Models (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 28 citations
  Zhuang et al.
• What You See Is What You Read? Improving Text-image Alignment Evaluation (2023) • Arxiv • 14 citations
  Yarom et al.
• Position: AI Evaluation Should Learn From How We Test Humans (2023) • Arxiv • 14 citations
  Zhuang et al.
• Dreameditor: Text-driven 3D Scene Editing With Neural Fields (2023) • SA '23: SIGGRAPH Asia 2023 • 90 citations
  Zhuang et al.
• MKA: A Scalable Medical Knowledge Assisted Mechanism For Generative Models On Medical Conversation Tasks (2023) • Computational and Mathematical Methods in Medicine • 18 citations
  Ke Liang, Sifan Wu, Jiayi Gu
• The Effect Of Source Disclosure On Evaluation Of Ai-generated Messages: A Two-part Study (2023) • Computers in Human Behavior: Artificial Humans • 35 citations
  Sue Lim, Ralf Schmälzle
• Retroformer: Retrospective Large Language Agents With Policy Gradient Optimization (2023) • No Venue
  Yao et al.
• GPT-4 Enhanced Multimodal Grounding For Autonomous Driving: Leveraging Cross-modal Attention With Large Language Models (2023) • Communications in Transportation Research • 63 citations
  Liao et al.
• Story-to-motion: Synthesizing Infinite And Controllable Character Animation From Long Text (2023) • No Venue
  Qing et al.
• AI Transparency In The Age Of Llms: A Human-centered Research Roadmap (2023) • Harvard Data Science Review • 84 citations
  Q. Vera Liao, Jennifer Wortman Vaughan
• Scaling Session-based Transformer Recommendations Using Optimized Negative Sampling And Loss Functions (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 18 citations
  Wilm et al.
• Cache Me If You Can: Accelerating Diffusion Models Through Block Caching (2023) • No Venue
  Wimbauer et al.
• Does Circuit Analysis Interpretability Scale? Evidence From Multiple Choice Capabilities In Chinchilla (2023) • No Venue
  Lieberum et al.
• Designbench: Exploring And Benchmarking DALL-E 3 For Imagining Visual Design (2023) • No Venue
  Lin et al.
• Llm-eval: Unified Multi-dimensional Automatic Evaluation For Open-domain Conversations With Large Language Models (2023) • Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023) • 50 citations
  Yen-Ting Lin, Yun-Nung Chen
• Psychat: A Client-centric Dialogue System For Mental Health Support (2023) • 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) • 15 citations
  Qiu et al.
• Toxicchat: Unveiling Hidden Challenges Of Toxicity Detection In Real-world User-ai Conversation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 32 citations
  Lin et al.
• SPHINX: The Joint Mixing Of Weights, Tasks, And Visual Embeddings For Multi-modal Large Language Models (2023) • No Venue
  Lin et al.
• The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning (2023) • No Venue
  Lin et al.
• Univtg: Towards Unified Video-language Temporal Grounding (2023) • No Venue
  Lin et al.
• Effective Long-context Scaling Of Foundation Models (2023) • No Venue
  Xiong et al.
• SMILE: Single-turn To Multi-turn Inclusive Language Expansion Via Chatgpt For Mental Health Support (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 23 citations
  Qiu et al.
• Freenoise: Tuning-free Longer Video Diffusion Via Noise Rescheduling (2023) • No Venue
  Qiu et al.
• Langsplat: 3D Language Gaussian Splatting (2023) • No Venue
  Qin et al.
• Clinidigest: A Case Study In Large Language Model Based Large-scale Summarization Of Clinical Trial Descriptions (2023) • GoodIT '23: ACM International Conference on Information Technology for Social Good • 10 citations
  White et al.
• Llm-powered Data Augmentation For Enhanced Cross-lingual Performance (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 38 citations
  Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji
• System 2 Attention (is Something You Might Need Too) (2023) • No Venue
  Jason Weston, Sainbayar Sukhbaatar
• The Generative AI Paradox: "what It Can Create, It May Not Understand" (2023) • No Venue
  West et al.
• G-eval: NLG Evaluation Using GPT-4 With Better Human Alignment (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 441 citations
  Liu et al.
• Calibrating Llm-based Evaluator (2023) • No Venue
  Liu et al.
• Agentbench: Evaluating Llms As Agents (2023) • No Venue
  Liu et al.
• Are Multilingual Llms Culturally-diverse Reasoners? An Investigation Into Multicultural Proverbs And Sayings (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 10 citations
  Liu et al.
• Clip-based Synergistic Knowledge Transfer For Text-based Person Retrieval (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 13 citations
  Liu et al.
• Dual-stream Diffusion Net For Text-to-video Generation (2023) • No Venue
  Liu et al.
• Evalcrafter: Benchmarking And Evaluating Large Video Generation Models (2023) • No Venue
  Liu et al.
• Interpretable Online Log Analysis Using Large Language Models With Prompt Strategies (2023) • ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension • 26 citations
  Liu et al.
• Improving Cross-modal Alignment With Synthetic Pairs For Text-only Image Captioning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Zhiyue Liu, Jinyuan Liu, Fanrong Ma
• Language Models As Black-box Optimizers For Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Liu et al.
• Is Chatgpt A Good Recommender? A Preliminary Study (2023) • Arxiv • 44 citations
  Liu et al.
• MMC: Advancing Multimodal Chart Understanding With Large-scale Instruction Tuning (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
  Liu et al.
• Mitigating Hallucination In Large Multi-modal Models Via Robust Instruction Tuning (2023) • Arxiv • 24 citations
  Liu et al.
• Lost In The Middle: How Language Models Use Long Contexts (2023) • No Venue
  Liu et al.
• Mmbench: Is Your Multi-modal Model An All-around Player? (2023) • Lecture Notes in Computer Science • 229 citations
  Liu et al.
• Ml-bench: Large Language Models Leverage Open-source Libraries For Machine Learning Tasks (2023) • No Venue
  Liu et al.
• Mm-safetybench: A Benchmark For Safety Evaluation Of Multimodal Large Language Models (2023) • Lecture Notes in Computer Science • 25 citations
  Liu et al.
• Recprompt: A Self-tuning Prompting Framework For News Recommendation Using Large Language Models (2023) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 10 citations
  Liu et al.
• Neuri: Diversifying DNN Generation Via Inductive Rule Inference (2023) • ESEC/FSE '23: 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering • 17 citations
  Liu et al.
• Ocrbench: On The Hidden Mystery Of OCR In Large Multimodal Models (2023) • Arxiv • 21 citations
  Liu et al.
• On The Detectability Of Chatgpt Content: Benchmarking, Methodology, And Evaluation Through The Lens Of Academic Writing (2023) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 15 citations
  Liu et al.
• Pharmacygpt: The AI Pharmacist (2023) • Arxiv • 11 citations
  Liu et al.
• Time-aware Multiway Adaptive Fusion Network For Temporal Knowledge Graph Question Answering (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 23 citations
  Liu et al.
• Statistical Rejection Sampling Improves Preference Optimization (2023) • No Venue
  Liu et al.
• U-NEED: A Fine-grained Dataset For User Needs-centric E-commerce Conversational Recommendation (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
  Liu et al.
• Trustworthy Llms: A Survey And Guideline For Evaluating Large Language Models' Alignment (2023) • No Venue
  Liu et al.
• Toolllm: Facilitating Large Language Models To Master 16000+ Real-world Apis (2023) • No Venue
  Qin et al.
• Webglm: Towards An Efficient Web-enhanced Question Answering System With Human Preferences (2023) • No Venue
  Liu et al.
• Visual Instruction Tuning (2023) • Arxiv • 666 citations
  Liu et al.
• VST++: Efficient And Stronger Visual Saliency Transformer (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 36 citations
  Liu et al.
• We're Afraid Language Models Aren't Modeling Ambiguity (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Liu et al.
• Large Language Models Are Effective Text Rankers With Pairwise Ranking Prompting (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 97 citations
  Qin et al.
• Tool Learning With Foundation Models (2023) • ACM Computing Surveys • 51 citations
  Qin et al.
• Is Chatgpt A General-purpose Natural Language Processing Task Solver? (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 429 citations
  Qin et al.
• The Art Of SOCRATIC QUESTIONING: Recursive Thinking With Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 17 citations
  Qi et al.
• Adaptive Shells For Efficient Neural Radiance Field Rendering (2023) • No Venue
  Wang et al.
• Harnessing The Power Of Large Language Models For Empathetic Response Generation: Empirical Investigations And Improvements (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 29 citations
  Yushan Qian, Wei-Nan Zhang, Ting Liu
• Gpt4point: A Unified Framework For Point-language Understanding And Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Qi et al.
• Adapt: As-needed Decomposition And Planning With Language Models (2023) • No Venue
  Prasad et al.
• Mindmap: Knowledge Graph Prompting Sparks Graph Of Thoughts In Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 58 citations
  Yilin Wen, Zifeng Wang, Jimeng Sun
• RAPHAEL: Text-to-image Generation Via Large Mixture Of Diffusion Paths (2023) • Arxiv • 41 citations
  Xue et al.
• Foundationpose: Unified 6D Pose Estimation And Tracking Of Novel Objects (2023) • No Venue
  Wen et al.
• On The Road With Gpt-4v(ision): Early Explorations Of Visual-language Model On Autonomous Driving (2023) • No Venue
  Wen et al.
• Uncommonsense Reasoning: Abductive Reasoning About Uncommon Situations (2023) • No Venue
  Zhao et al.
• Universalner: Targeted Distillation From Large Language Models For Open Named Entity Recognition (2023) • No Venue
  Zhou et al.
• Hrs-bench: Holistic, Reliable And Scalable Benchmark For Text-to-image Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 44 citations
  Bakr et al.
• A Multitask, Multilingual, Multimodal Evaluation Of Chatgpt On Reasoning, Hallucination, And Interactivity (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 497 citations
  Bang et al.
• The Belebele Benchmark: A Parallel Reading Comprehension Dataset In 122 Language Variants (2023) • No Venue
  Bandarkar et al.
• Faithfulness-aware Decoding Strategies For Abstractive Summarization (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 14 citations
  Wan et al.
• Trusted Source Alignment In Large Language Models (2023) • No Venue
  Bashlovkina et al.
• Link-context Learning For Multimodal Llms (2023) • No Venue
  Tai et al.
• Revisiting Relation Extraction In The Era Of Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 102 citations
  Somin Wadhwa, Silvio Amir, Byron C. Wallace
• Hot Or Cold? Adaptive Temperature Sampling For Code Generation With Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 21 citations
  Zhu et al.
• Assessing Student Errors In Experimentation Using Artificial Intelligence And Large Language Models: A Comparative Study With Human Raters (2023) • Computers and Education: Artificial Intelligence • 44 citations
  Bewersdorff et al.
• Investigating Answerability Of Llms For Long-form Question Answering (2023) • No Venue
  Bhat et al.
• Purple Llama Cyberseceval: A Secure Coding Benchmark For Language Models (2023) • No Venue
  Bhatt et al.
• Codekgc: Code Language Model For Generative Knowledge Graph Construction (2023) • ACM Transactions on Asian and Low-Resource Language Information Processing • 46 citations
  Bi et al.
• Automating Question Generation From Educational Text (2023) • Lecture Notes in Computer Science • 19 citations
  Bhowmick et al.
• Promptcblue: A Chinese Prompt Tuning Benchmark For The Medical Domain (2023) • Arxiv • 20 citations
  Zhu et al.
• Unifying Two-stream Encoders With Transformers For Cross-modal Retrieval (2023) • MM '23: The 31st ACM International Conference on Multimedia • 28 citations
  Bin et al.
• Towards Generalist Biomedical AI (2023) • No Venue
  Tu et al.
• Webarena: A Realistic Web Environment For Building Autonomous Agents (2023) • No Venue
  Zhou et al.
• Promptrobust: Towards Evaluating The Robustness Of Large Language Models On Adversarial Prompts (2023) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 60 citations
  Zhu et al.
• GPT As Knowledge Worker: A Zero-shot Evaluation Of (AI)CPA Capabilities (2023) • SSRN Electronic Journal • 58 citations
  Bommarito et al.
• RT-2: Vision-language-action Models Transfer Web Knowledge To Robotic Control (2023) • No Venue
  Brohan et al.
• Zeroshotdataaug: Generating And Augmenting Training Data With Chatgpt (2023) • Arxiv • 19 citations
  Solomon Ubani, Suleyman Olcay Polat, Rodney Nielsen
• Promptbench: A Unified Library For Evaluation Of Large Language Models (2023) • No Venue
  Zhu et al.
• Instruction-following Evaluation For Large Language Models (2023) • No Venue
  Zhou et al.
• Gen-ir @ SIGIR 2023: The First Workshop On Generative Information Retrieval (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 12 citations
  Gabriel Bénédict, Ruqing Zhang, Donald Metzler
• Head-to-tail: How Knowledgeable Are Large Language Models (llms)? A.K.A. Will Llms Replace Knowledge Graphs? (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 26 citations
  Sun et al.
• Improving Empathetic Dialogue Generation By Dynamically Infusing Commonsense Knowledge (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 15 citations
  Cai et al.
• Medbench: A Large-scale Chinese Benchmark For Evaluating Medical Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 22 citations
  Cai et al.
• Evaluating Large Language Models On Controlled Generation Tasks (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Sun et al.
• Scieval: A Multi-level Large Language Model Evaluation Benchmark For Scientific Research (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 21 citations
  Sun et al.
• Dreamdistribution: Prompt Distribution Learning For Text-to-image Diffusion Models (2023) • No Venue
  Zhao et al.
• Is Chatgpt Good At Search? Investigating Large Language Models As Re-ranking Agents (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 151 citations
  Sun et al.
• Can GPT Models Be Financial Analysts? An Evaluation Of Chatgpt And GPT-4 On Mock CFA Exams (2023) • No Venue
  Callanan et al.
• Aligning Large Multimodal Models With Factually Augmented RLHF (2023) • No Venue
  Sun et al.
• Cultural Adaptation Of Recipes (2023) • Transactions of the Association for Computational Linguistics • 11 citations
  Cao et al.
• Instruction Mining: High-quality Instruction Data Selection For Large Language Models (2023) • No Venue
  Yihan Cao, Yanbin Kang, Lichao Sun
• Pumer: Pruning And Merging Tokens For Efficient Vision Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
  Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
• Art Or Artifice? Large Language Models And The False Promise Of Creativity (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 63 citations
  Chakrabarty et al.
• News Verifiers Showdown: A Comparative Performance Evaluation Of Chatgpt 3.5, Chatgpt 4.0, Bing AI, And Bard In News Fact-checking (2023) • 2023 IEEE Future Networks World Forum (FNWF) • 24 citations
  Kevin Matthe Caramancion
• 3D-GPT: Procedural 3D Modeling With Large Language Models (2023) • No Venue
  Sun et al.
• Automatic Code Summarization Via Chatgpt: How Far Are We? (2023) • Arxiv • 34 citations
  Sun et al.
• Chatgpt To Replace Crowdsourcing Of Paraphrases For Intent Classification: Higher Diversity And Comparable Model Robustness (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Jan Cegin, Jakub Simko, Peter Brusilovsky
• Spanish Pre-trained BERT Model And Evaluation Data (2023) • Arxiv • 332 citations
  Cañete et al.
• I Spy A Metaphor: Large Language Models And Diffusion Models Co-create Visual Metaphors (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 12 citations
  Chakrabarty et al.
• On The Possibilities Of Ai-generated Text Detection (2023) • Arxiv • 50 citations
  Chakraborty et al.
• CLAIR: Evaluating Image Captions With Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 19 citations
  Chan et al.
• Chipgpt: How Far Are We From Natural Language Hardware Design (2023) • Arxiv • 27 citations
  Chang et al.
• A Survey On Evaluation Of Large Language Models (2023) • No Venue
  Chang et al.
• LLM4TS: Aligning Pre-trained Llms As Data-efficient Time-series Forecasters (2023) • ACM Transactions on Intelligent Systems and Technology • 52 citations
  Chang et al.
• Recommendation As Instruction Following: A Large Language Model Empowered Recommendation Approach (2023) • ACM Transactions on Information Systems • 45 citations
  Zhang et al.
• Exploring The Use Of Large Language Models For Reference-free Text Quality Evaluation: An Empirical Study (2023) • Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings) • 40 citations
  Chen et al.
• Data-juicer: A One-stop Data Processing System For Large Language Models (2023) • SIGMOD/PODS '24: International Conference on Management of Data • 24 citations
  Chen et al.
• Beyond Surface: Probing Llama Across Scales And Layers (2023) • No Venue
  Chen et al.
• AMSP: Super-scaling LLM Training Via Advanced Model States Partitioning (2023) • No Venue
  Chen et al.
• Benchmarking Large Language Models In Retrieval-augmented Generation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 234 citations
  Chen et al.
• Autoeval-video: An Automatic Benchmark For Assessing Large Vision Language Models In Open-ended Video Question Answering (2023) • Lecture Notes in Computer Science • 12 citations
  Chen et al.
• Chatcot: Tool-augmented Chain-of-thought Reasoning On Chat-based Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 15 citations
  Chen et al.
• CLEX: Continuous Length Extrapolation For Large Language Models (2023) • No Venue
  Chen et al.
• Evaluation Of Chatgpt Family Of Models For Biomedical Reasoning And Classification (2023) • Arxiv • 19 citations
  Chen et al.
• Enhancing Emergency Decision-making With Knowledge Graphs And Large Language Models (2023) • International Journal of Disaster Risk Reduction • 49 citations
  Chen et al.
• Driving With Llms: Fusing Object-level Vector Modality For Explainable Autonomous Driving (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 125 citations
  Chen et al.
• IQAGPT: Image Quality Assessment With Vision-language And Chatgpt Models (2023) • Visual Computing for Industry, Biomedicine, and Art • 15 citations
  Chen et al.
• Gentron: Delving Deep Into Diffusion Transformers For Image And Video Generation (2023) • No Venue
  Chen et al.
• Gptutor: A Chatgpt-powered Programming Tool For Code Explanation (2023) • Communications in Computer and Information Science • 74 citations
  Chen et al.
• Learning To Memorize Entailment And Discourse Relations For Persona-consistent Dialogues (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 22 citations
  Chen et al.
• Musicldm: Enhancing Novelty In Text-to-music Generation Using Beat-synchronous Mixup Strategies (2023) • No Venue
  Chen et al.
• Photoverse: Tuning-free Image Customization With Text-to-image Diffusion Models (2023) • No Venue
  Chen et al.
• Prompting Or Fine-tuning? A Comparative Study Of Large Language Models For Taxonomy Construction (2023) • 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) • 22 citations
  Boqi Chen, Fandi Yi, Dániel Varró
• Quantifying Uncertainty In Answers From Any Language Model And Enhancing Their Trustworthiness (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Jiuhai Chen, Jonas Mueller
• Rethinking Benchmarks For Cross-modal Image-text Retrieval (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 18 citations
  Weijing Chen, Linli Yao, Qin Jin
• Unleashing The Potential Of Prompt Engineering For Large Language Models (2023) • Patterns • 123 citations
  Chen et al.
• Subject-driven Text-to-image Generation Via Apprenticeship Learning (2023) • Arxiv • 46 citations
  Chen et al.
• Sharegpt4v: Improving Large Multi-modal Models With Better Captions (2023) • Lecture Notes in Computer Science • 162 citations
  Chen et al.
• Tailored Visions: Enhancing Text-to-image Generation With Personalized Prompt Rewriting (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Chen et al.
• Token Prediction As Implicit Classification To Identify Llm-generated Text (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Chen et al.
• Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark And Empirical Study (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 88 citations
  Sui et al.
• Enhancing Summarization Performance Through Transformer-based Prompt Engineering In Automated Medical Reporting (2023) • 17th International Conference on Health Informatics • 12 citations
  Zandvoort et al.
• Adapting Fake News Detection To The Era Of Large Language Models (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 23 citations
  Jinyan Su, Claire Cardie, Preslav Nakov
• "kelly Is A Warm Person, Joseph Is A Role Model": Gender Biases In Llm-generated Reference Letters (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 82 citations
  Wan et al.
• Diffusion Model Alignment Using Direct Preference Optimization (2023) • No Venue
  Wallace et al.
• Distilled GPT For Source Code Summarization (2023) • Automated Software Engineering • 30 citations
  Chia-Yi Su, Collin McMillan
• Chatclimate: Grounding Conversational AI In Climate Science (2023) • Communications Earth & Environment • 100 citations
  Vaghefi et al.
• Exposing Flaws Of Generative Model Evaluation Metrics And Their Unfair Treatment Of Diffusion Models (2023) • Thirty-seventh Conference on Neural Information Processing Systems (2023) • 20 citations
  Stein et al.
• Enriching Source Code With Contextual Data For Code Completion Models: An Empirical Study (2023) • 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) • 10 citations
  Tim van Dam, Maliheh Izadi, Arie van Deursen
• A Survey Of AI Text-to-image And AI Text-to-video Generators (2023) • 2023 4th International Conference on Artificial Intelligence, Robotics and Control (AIRC) • 37 citations
  Aditi Singh
• Improving Accuracy Of GPT-3/4 Results On Biomedical Data Using A Retrieval-augmented Language Model (2023) • PLOS Digital Health • 30 citations
  Soong et al.
• Evaluation Metrics In The Era Of GPT-4: Reliably Evaluating Large Language Models On Sequence To Sequence Tasks (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Sottana et al.
• Whitefox: White-box Compiler Fuzzing Empowered By Large Language Models (2023) • Proceedings of the ACM on Programming Languages • 44 citations
  Yang et al.
• CLASS: A Design Framework For Building Intelligent Tutoring Systems Based On Learning Science Principles (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Sonkar et al.
• Mobileclip: Fast Image-text Models Through Multi-modal Reinforced Training (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 27 citations
  Vasu et al.
• Code Soliloquies For Accurate Calculations In Large Language Models (2023) • LAK '24: The 14th Learning Analytics and Knowledge Conference • 12 citations
  Sonkar et al.
• Villa: Fine-grained Vision-language Representation Learning From Real-world Data (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 11 citations
  Varma et al.
• Preference Ranking Optimization For Human Alignment (2023) • Arxiv • 12 citations
  Song et al.
• Chatgpt For Robotics: Design Principles And Model Abilities (2023) • No Venue
  Vemprala et al.
• Multimodal Prompt Transformer With Hybrid Contrastive Learning For Emotion Recognition In Conversation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 20 citations
  Shihao Zou, Xianying Huang, Xudong Shen
• Is GPT-4 A Good Data Analyst? (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 66 citations
  Liying Cheng, Xingxuan Li, Lidong Bing
• Egothink: Evaluating First-person Perspective Thinking Capability Of Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Cheng et al.
• Can We Edit Multimodal Large Language Models? (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Cheng et al.
• Powerinfer: Fast Large Language Model Serving With A Consumer-grade GPU (2023) • No Venue
  Song et al.
• UPRISE: Universal Prompt Retrieval For Improving Zero-shot Evaluation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Cheng et al.
• Honeybee: Progressive Instruction Finetuning Of Large Language Models For Materials Science (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Song et al.
• Interfacing Foundation Models' Embeddings (2023) • No Venue
  Zou et al.
• LUNA: A Model-based Universal Analysis Framework For Large Language Models (2023) • IEEE Transactions on Software Engineering • 11 citations
  Song et al.
• Matsci-nlp: Evaluating Scientific Language Models On Materials Science Language Tasks Using Text-to-schema Modeling (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Yu Song, Santiago Miret, Bang Liu
• GEE! Grammar Error Explanation With Large Language Models (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 10 citations
  Song et al.
• Evaluating The Social Impact Of Generative AI Systems In Systems And Society (2023) • Arxiv • 42 citations
  Solaiman et al.
• Can Large Language Models Be An Alternative To Human Evaluations? (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 179 citations
  Cheng-Han Chiang, Hung-Yi Lee
• Generative Agent-based Modeling With Actions Grounded In Physical, Social, Or Digital Space Using Concordia (2023) • No Venue
  Vezhnevets et al.
• Text-to-sticker: Style Tailoring Latent Diffusion Models For Human Expression (2023) • No Venue
  Sinha et al.
• Observations On Llms For Telecom Domain: Capabilities And Limitations (2023) • AIMLSystems 2023: The Third International Conference on Artificial Intelligence and Machine Learning Systems • 25 citations
  Sumit Soman, Ranjani H G
• Distribution-aware Prompt Tuning For Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 31 citations
  Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim
• Do Llms Understand Social Knowledge? Evaluating The Sociability Of Large Language Models With Socket Benchmark (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Choi et al.
• CALYPSO: Llms As Dungeon Masters' Assistants (2023) • Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment • 15 citations
  Zhu et al.
• Evaluating Language Models For Mathematics Through Interactions (2023) • Proceedings of the National Academy of Sciences • 36 citations
  Collins et al.
• Complex Logical Reasoning Over Knowledge Graphs Using Large Language Models (2023) • Arxiv • 13 citations
  Nurendra Choudhary, Chandan K. Reddy
• Apollo: Unified Adapter And Prompt Learning For Vision Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha
• Vision-language Models For Vision Tasks: A Survey (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 502 citations
  Zhang et al.
• Unifying The Perspectives Of NLP And Software Engineering: A Survey On Language Models For Code (2023) • No Venue
  Zhang et al.
• Siren's Song In The AI Ocean: A Survey On Hallucination In Large Language Models (2023) • Computational Linguistics • 76 citations
  Zhang et al.
• Increasing Diversity While Maintaining Accuracy: Text Data Generation With Large Language Models And Human Interventions (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 43 citations
  John Joon Young Chung, Ece Kamar, Saleema Amershi
• The Potential And Pitfalls Of Using A Large Language Model Such As Chatgpt Or GPT-4 As A Clinical Assistant (2023) • Journal of the American Medical Informatics Association • 54 citations
  Zhang et al.
• Summit: Iterative Text Summarization Via Chatgpt (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 34 citations
  Haopeng Zhang, Xiao Liu, Jiawei Zhang
• Evaluating The Ripple Effects Of Knowledge Editing In Language Models (2023) • No Venue
  Cohen et al.
• Tablellama: Towards Open Large Generalist Models For Tables (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 29 citations
  Zhang et al.
• LM Vs LM: Detecting Factual Errors Via Cross Examination (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 36 citations
  Cohen et al.
• Task Relation Distillation And Prototypical Pseudo Label For Incremental Named Entity Recognition (2023) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 12 citations
  Zhang et al.
• Promptly: Using Prompt Problems To Teach Learners How To Effectively Utilize AI Code Generators (2023) • Arxiv • 14 citations
  Denny et al.
• Simple And Controllable Music Generation (2023) • No Venue
  Copet et al.
• PREFER: Prompt Ensemble Learning Via Feedback-reflect-refine (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Zhang et al.
• Enhancing Financial Sentiment Analysis Via Retrieval Augmented Large Language Models (2023) • ICAIF '23: 4th ACM International Conference on AI in Finance • 121 citations
  Zhang et al.
• Analyzing The Performance Of GPT-3.5 And GPT-4 In Grammatical Error Correction (2023) • Arxiv • 25 citations
  Coyne et al.
• Approximating Two-layer Feedforward Networks For Efficient Transformers (2023) • No Venue
  Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
• Towards Expert-level Medical Question Answering With Large Language Models (2023) • Arxiv • 332 citations
  Singhal et al.
• Safetybench: Evaluating The Safety Of Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Zhang et al.
• Evaluating Chatgpt And GPT-4 For Visual Programming (2023) • Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2 • 17 citations
  Adish Singla
• Sentiment Analysis In The Era Of Large Language Models: A Reality Check (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 183 citations
  Zhang et al.
• Sparse Autoencoders Find Highly Interpretable Features In Language Models (2023) • No Venue
  Cunningham et al.
• Large Language Models For Compiler Optimization (2023) • No Venue
  Cummins et al.
• 3D-LFM: Lifting Foundation Model (2023) • No Venue
  Mosam Dabhi, Laszlo A. Jeni, Simon Lucey
• Benchmarking Neural Network Training Algorithms (2023) • No Venue
  Dahl et al.
• Safe RLHF: Safe Reinforcement Learning From Human Feedback (2023) • No Venue
  Dai et al.
• Neural Retrievers Are Biased Towards Llm-generated Content (2023) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 23 citations
  Dai et al.
• Mm-narrator: Narrating Long-form Videos With Multimodal In-context Learning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Zhang et al.
• Next-chat: An LMM For Chat, Detection And Segmentation (2023) • No Venue
  Zhang et al.
• Q-boost: On Visual Quality Assessment Ability Of Low-level Multi-modality Foundation Models (2023) • 2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) • 10 citations
  Zhang et al.
• On Generative Agents In Recommendation (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 57 citations
  Zhang et al.
• PMC-VQA: Visual Instruction Tuning For Medical Visual Question Answering (2023) • Arxiv • 58 citations
  Zhang et al.
• Large Language Models Are Diverse Role-players For Summarization Evaluation (2023) • Lecture Notes in Computer Science • 28 citations
  Wu et al.
• Can Chatgpt Defend Its Belief In Truth? Evaluating LLM Reasoning Via Debate (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Boshi Wang, Xiang Yue, Huan Sun
• Harnessing The Power Of Multi-lingual Datasets For Pre-training: Towards Enhancing Text Spotting Performance (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 11 citations
  Das et al.
• Magicbrush: A Manually Annotated Dataset For Instruction-guided Image Editing (2023) • No Venue
  Zhang et al.
• Llmeval: A Preliminary Study On How To Evaluate Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Zhang et al.
• Evaluation Of GPT-3.5 And GPT-4 For Supporting Real-world Information Needs In Healthcare Delivery (2023) • Arxiv • 21 citations
  Dash et al.
• Computing Education In The Era Of Generative AI (2023) • Communications of the ACM • 170 citations
  Denny et al.
• Evaluation Of African American Language Bias In Natural Language Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 13 citations
  Deas et al.
• Exploring Large Language Models' Cognitive Moral Development Through Defining Issues Test (2023) • No Venue
  Tanmay et al.
• Attack Prompt Generation For Red Teaming And Defending Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Deng et al.
• Loop Copilot: Conducting AI Ensembles For Music Generation And Iterative Editing (2023) • No Venue
  Zhang et al.
• Prompting And Evaluating Large Language Models For Proactive Dialogues: Clarification, Target-guided, And Non-collaboration (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 28 citations
  Deng et al.
• Mind2web: Towards A Generalist Agent For The Web (2023) • No Venue
  Deng et al.
• Prompt Switch: Efficient CLIP Adaptation For Text-video Retrieval (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 32 citations
  Deng et al.
• Reward-augmented Decoding: Efficient Controlled Text Generation With A Unidirectional Reward Model (2023) • No Venue
  Haikang Deng, Colin Raffel
• Can We Trust Ai-generated Educational Content? Comparative Analysis Of Human And Ai-generated Learning Resources (2023) • Arxiv • 16 citations
  Denny et al.
• Llavar: Enhanced Visual Instruction Tuning For Text-rich Image Understanding (2023) • No Venue
  Zhang et al.
• Is Chatgpt Fair For Recommendation? Evaluating Fairness In Large Language Model Recommendation (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 105 citations
  Zhang et al.
• Chain-of-verification Reduces Hallucination In Large Language Models (2023) • No Venue
  Dhuliawala et al.
• An Evaluation On Large Language Model Outputs: Discourse And Memorization (2023) • Natural Language Processing Journal • 19 citations
  Wynter et al.
• Qlora: Efficient Finetuning Of Quantized Llms (2023) • No Venue
  Dettmers et al.
• BTLM-3B-8K: 7B Parameter Performance In A 3B Parameter Model (2023) • No Venue
  Dey et al.
• Mind Meets Machine: Unravelling Gpt-4's Cognitive Psychology (2023) • BenchCouncil Transactions on Benchmarks, Standards and Evaluations • 32 citations
  Dhingra et al.
• Using Large Language Models To Generate Junit Tests: An Empirical Study (2023) • EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering • 56 citations
  Siddiq et al.
• Grounded Question-answering In Long Egocentric Videos (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Shangzhe di, Weidi Xie
• Huatuogpt, Towards Taming Language Model To Be A Doctor (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 142 citations
  Zhang et al.
• Scaling Laws Do Not Scale (2023) • Arxiv • 12 citations
  Fernando Diaz, Michael Madaio
• Enhancing Chat Language Models By Scaling High-quality Instructional Conversations (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 68 citations
  Ding et al.
• Integrating Action Knowledge And Llms For Task Planning And Situation Handling In Open Worlds (2023) • Autonomous Robots • 39 citations
  Ding et al.
• Harnessing The Power Of Llms: Evaluating Human-ai Text Co-creation Through The Lens Of News Headline Generation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Ding et al.
• QUAR-VLA: Vision-language-action Model For Quadruped Robots (2023) • Lecture Notes in Computer Science • 14 citations
  Ding et al.
• An Attentive Inductive Bias For Sequential Recommendation Beyond The Self-attention (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 62 citations
  Shin et al.
• Glm-dialog: Noise-tolerant Pre-training For Knowledge-grounded Dialogue Generation (2023) • Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 17 citations
  Zhang et al.
• Extractive Summarization Via Chatgpt For Faithful Summary Generation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 61 citations
  Haopeng Zhang, Xiao Liu, Jiawei Zhang
• Exploring Collaboration Mechanisms For LLM Agents: A Social Psychology View (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Zhang et al.
• Tidybot: Personalized Robot Assistance With Large Language Models (2023) • 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 67 citations
  Wu et al.
• Cultural Bias And Cultural Alignment Of Large Language Models (2023) • PNAS Nexus • 148 citations
  Tao et al.
• Lp-musiccaps: Llm-based Pseudo Music Captioning (2023) • No Venue
  Doh et al.
• Large Language Model For Science: A Study On P Vs. NP (2023) • No Venue
  Dong et al.
• Howtocaption: Prompting Llms To Transform Video Annotations At Scale (2023) • Lecture Notes in Computer Science • 15 citations
  Shvetsova et al.
• What's In My Big Data? (2023) • No Venue
  Elazar et al.
• Dialoguellm: Context And Emotion Knowledge-tuned Large Language Models For Emotion Recognition In Conversations (2023) • Neural Networks • 11 citations
  Zhang et al.
• Empirical Evaluation Of Chatgpt On Requirements Information Retrieval Under Zero-shot Setting (2023) • 2023 International Conference on Intelligent Computing and Next Generation Networks（ICNGN) • 17 citations
  Zhang et al.
• A Comprehensive Evaluation Of Large Language Models On Legal Judgment Prediction (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 19 citations
  Shui et al.
• DNAGPT: A Generalized Pre-trained Tool For Versatile DNA Sequence Analysis Tasks (2023) • No Venue
  Zhang et al.
• Ensemble Modeling With Contrastive Knowledge Distillation For Sequential Recommendation (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 17 citations
  Du et al.
• Domain Adaptation For Code Model-based Unit Test Case Generation (2023) • ISSTA '24: 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis • 16 citations
  Shin et al.
• Benchmarking Large Language Models For News Summarization (2023) • Transactions of the Association for Computational Linguistics • 225 citations
  Zhang et al.
• Biomedgpt: A Generalist Vision-language Foundation Model For Diverse Biomedical Tasks (2023) • Arxiv • 50 citations
  Zhang et al.
• Alpacafarm: A Simulation Framework For Methods That Learn From Human Feedback (2023) • Arxiv • 53 citations
  Dubois et al.
• Auto-instruct: Automatic Instruction Generation And Ranking For Black-box Language Models (2023) • No Venue
  Zhang et al.
• Vision-language Interpreter For Robot Task Planning (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 27 citations
  Shirai et al.
• Identifying And Extracting Rare Disease Phenotypes With Large Language Models (2023) • Journal of Healthcare Informatics Research • 44 citations
  Shyr et al.
• A Comparative Analysis Of Large Language Models For Code Documentation Generation (2023) • AIware '24: 1st ACM International Conference on AI-Powered Software • 18 citations
  Dvivedi et al.
• Kattis Vs. Chatgpt: Assessment And Evaluation Of Programming Tasks In The Age Of Artificial Intelligence (2023) • LAK '24: The 14th Learning Analytics and Knowledge Conference • 32 citations
  Dunder et al.
• Text-guided 3D Face Synthesis -- From Generation To Editing (2023) • No Venue
  Wu et al.
• Refactoring Programs Using Large Language Models With Few-shot Examples (2023) • 2023 30th Asia-Pacific Software Engineering Conference (APSEC) • 36 citations
  Shirafuji et al.
• ROBBIE: Robust Bias Evaluation Of Large Generative Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Esiobu et al.
• Tinystories: How Small Can Language Models Be And Still Speak Coherent English? (2023) • No Venue
  Ronen Eldan, Yuanzhi Li
• How Useful Are Educational Questions Generated By Large Language Models? (2023) • Communications in Computer and Information Science • 29 citations
  Elkins et al.
• Towards Mitigating Chatgpt's Negative Impact On Education: Optimizing Question Design Through Bloom's Taxonomy (2023) • 2023 IEEE Region 10 Symposium (TENSYMP) • 19 citations
  Saber Elsayed
• Exploring And Characterizing Large Language Models For Embedded System Development And Debugging (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 18 citations
  Englhardt et al.
• Ragas: Automated Evaluation Of Retrieval Augmented Generation (2023) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations • 151 citations
  Es et al.
• Llms As Workers In Human-computational Algorithms? Replicating Crowdsourcing Pipelines With Llms (2023) • No Venue
  Wu et al.
• GPT-3.5, GPT-4, Or BARD? Evaluating Llms Reasoning Ability In Zero-shot Setting And Performance Boosting Through Prompts (2023) • Natural Language Processing Journal • 72 citations
  Espejel et al.
• A Comprehensive Review Of State-of-the-art Methods For Java Code Generation From Natural Language Text (2023) • Natural Language Processing Journal • 18 citations
  Espejel et al.
• Lm-polygraph: Uncertainty Estimation For Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 14 citations
  Fadeeva et al.
• Prompttts++: Controlling Speaker Identity In Prompt-based Text-to-speech Using Natural Language Descriptions (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 10 citations
  Shimizu et al.
• Perspectives On Large Language Models For Relevance Judgment (2023) • ICTIR '23: The 2023 ACM SIGIR International Conference on the Theory of Information Retrieval • 108 citations
  Faggioli et al.
• Query Performance Prediction For Neural IR: Are We There Yet? (2023) • Lecture Notes in Computer Science • 14 citations
  Faggioli et al.
• Hierarchical Masked 3D Diffusion Model For Video Outpainting (2023) • No Venue
  Fan et al.
• Cost-effective In-context Learning For Entity Resolution: A Design Space Exploration (2023) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 20 citations
  Fan et al.
• Can Large Language Models Serve As Rational Players In Game Theory? A Systematic Analysis (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 24 citations
  Fan et al.
• Scaling Laws Of Synthetic Images For Model Training ... For Now (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 27 citations
  Fan et al.
• Multimodal Large Language Models: A Survey (2023) • 2023 IEEE International Conference on Big Data (BigData) • 162 citations
  Wu et al.
• Pros: Prompting-to-simulate Generalized Knowledge For Universal Cross-domain Retrieval (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Fang et al.
• Gemini: A Family Of Highly Capable Multimodal Models (2023) • No Venue
  Team et al.
• Challenges With Unsupervised LLM Knowledge Discovery (2023) • No Venue
  Farquhar et al.
• Transforming Sentiment Analysis In The Financial Domain With Chatgpt (2023) • Machine Learning with Applications • 103 citations
  Fatouros et al.
• Audiochatllama: Towards General-purpose Speech Abilities For Llms (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 14 citations
  Fathullah et al.
• Lawbench: Benchmarking Legal Knowledge Of Large Language Models (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 41 citations
  Fei et al.
• Winoqueer: A Community-in-the-loop Benchmark For Anti-lgbtq+ Bias In Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 40 citations
  Felkner et al.
• Chessgpt: Bridging Policy Learning And Language Modeling (2023) • No Venue
  Feng et al.
• Towards Llm-driven Dialogue State Tracking (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Feng et al.
• The Devil Is In The Errors: Leveraging Large Language Models For Fine-grained Machine Translation Evaluation (2023) • Proceedings of the Eighth Conference on Machine Translation • 15 citations
  Fernandes et al.
• Q-instruct: Improving Low-level Visual Abilities For Multi-modality Foundation Models (2023) • No Venue
  Wu et al.
• Bridging The Gap: A Survey On Integrating (human) Feedback For Natural Language Generation (2023) • Transactions of the Association for Computational Linguistics • 32 citations
  Fernandes et al.
• Human Preference Score: Better Aligning Text-to-image Models With Human Preference (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 143 citations
  Wu et al.
• Pmc-llama: Towards Building Open-source Language Models For Medicine (2023) • Journal of the American Medical Informatics Association • 204 citations
  Wu et al.
• Openicl: An Open-source Framework For In-context Learning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 10 citations
  Wu et al.
• Reasoning Or Reciting? Exploring The Capabilities And Limitations Of Language Models Through Counterfactual Tasks (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 28 citations
  Wu et al.
• Leveraging GPT-4 For Food Effect Summarization To Enhance Product-specific Guidance Development Via Iterative Prompting (2023) • Journal of Biomedical Informatics • 24 citations
  Shi et al.
• REPLUG: Retrieval-augmented Black-box Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 95 citations
  Shi et al.
• Medalign: A Clinician-generated Dataset For Instruction Following With Electronic Medical Records (2023) • No Venue
  Fleming et al.
• A Challenger To GPT-4V? Early Explorations Of Gemini In Visual Expertise (2023) • No Venue
  Fu et al.
• Alexa, Play With Robot: Introducing The First Alexa Prize Simbot Challenge On Embodied AI (2023) • No Venue
  Shi et al.
• Detecting Pretraining Data From Large Language Models (2023) • No Venue
  Shi et al.
• Gptscore: Evaluate As You Desire (2023) • Arxiv • 81 citations
  Fu et al.
• Smartplay : A Benchmark For Llms As Intelligent Agents (2023) • No Venue
  Wu et al.
• Automatic Personalized Impression Generation For PET Reports Using Large Language Models (2023) • Journal of Imaging Informatics in Medicine • 22 citations
  Tie et al.
• Bias And Fairness In Large Language Models: A Survey (2023) • Computational Linguistics • 322 citations
  Gallegos et al.
• CAB: Empathetic Dialogue Generation With Cognition, Affection And Behavior (2023) • Lecture Notes in Computer Science • 12 citations
  Gao et al.
• G-llava: Solving Geometric Problem With Multi-modal Large Language Model (2023) • No Venue
  Gao et al.
• Enabling Large Language Models To Generate Text With Citations (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 84 citations
  Gao et al.
• Is Chatgpt A Good Causal Reasoner? A Comprehensive Evaluation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 33 citations
  Gao et al.
• Human-like Summarization Evaluation With Chatgpt (2023) • Arxiv • 38 citations
  Gao et al.
• Text-to-sql Empowered By Large Language Models: A Benchmark Evaluation (2023) • Proceedings of the VLDB Endowment • 134 citations
  Gao et al.
• Retrieval-augmented Generation For Large Language Models: A Survey (2023) • Arxiv • 13 citations
  Gao et al.
• A Picture Is Worth More Than 77 Text Tokens: Evaluating Clip-style Models On Dense Captions (2023) • No Venue
  Urbanek et al.
• Uncurated Image-text Datasets: Shedding Light On Demographic Bias (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Garcia et al.
• Expressive Text-to-image Generation With Rich Text (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 49 citations
  Ge et al.
• Exploring Human-like Translation Strategy With Large Language Models (2023) • Transactions of the Association for Computational Linguistics • 47 citations
  He et al.
• Trueteacher: Learning Factual Consistency Evaluation With Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Gekhman et al.
• Can Chatgpt Pass An Introductory Level Functional Language Programming Course? (2023) • Arxiv • 15 citations
  Geng et al.
• Fine-grained Audible Video Description (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Shen et al.
• Pangu-coder2: Boosting Large Language Models For Code With Ranking Feedback (2023) • No Venue
  Shen et al.
• Chatgpt For Suicide Risk Assessment On Social Media: Quantitative Evaluation Of Model Performance, Potentials And Limitations (2023) • Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis • 15 citations
  Hamideh Ghanadian, Isar Nejadgholi, Hussein Al Osman
• Large Language Models Are Not Yet Human-level Evaluators For Abstractive Summarization (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 28 citations
  Shen et al.
• "do Anything Now": Characterizing And Evaluating In-the-wild Jailbreak Prompts On Large Language Models (2023) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 108 citations
  Shen et al.
• Flacuna: Unleashing The Problem Solving Power Of Vicuna Using FLAN Fine-tuning (2023) • No Venue
  Ghosal et al.
• RECAP: Retrieval-augmented Audio Captioning (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 15 citations
  Ghosh et al.
• Llms4ol: Large Language Models For Ontology Learning (2023) • Lecture Notes in Computer Science • 84 citations
  Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer
• Evaluating Generative Ad Hoc Information Retrieval (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 14 citations
  Gienapp et al.
• Emu Video: Factorizing Text-to-video Generation By Explicit Image Conditioning (2023) • No Venue
  Girdhar et al.
• Transformative Effects Of Chatgpt On Modern Education: Emerging Era Of AI Chatbots (2023) • Internet of Things and Cyber-Physical Systems • 409 citations
  Gill et al.
• Commoncanvas: An Open Diffusion Model Trained With Creative-commons Images (2023) • No Venue
  Gokaslan et al.
• Iterative Motion Editing With Natural Language (2023) • SIGGRAPH '24: Special Interest Group on Computer Graphics and Interactive Techniques Conference • 19 citations
  Goel et al.
• Mindagent: Emergent Gaming Interaction (2023) • No Venue
  Gong et al.
• Leveraging Large Language Models And Weak Supervision For Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets (2023) • Lecture Notes in Computer Science • 10 citations
  Ramya Tekumalla, Juan M. Banda
• Wikichat: Stopping The Hallucination Of Large Language Model Chatbots By Few-shot Grounding On Wikipedia (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 25 citations
  Semnani et al.
• Detecting And Grounding Multi-modal Media Manipulation And Beyond (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 34 citations
  Shao et al.
• Why Does Chatgpt Fall Short In Providing Truthful Answers? (2023) • Arxiv • 35 citations
  Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang
• Topical-chat: Towards Knowledge-grounded Open-domain Conversations (2023) • Interspeech 2019 • 59 citations
  Gopalakrishnan et al.
• Mvp: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 43 citations
  Zhibin Gou, Qingyan Guo, Yujiu Yang
• Lmsys-chat-1m: A Large-scale Real-world LLM Conversation Dataset (2023) • No Venue
  Zheng et al.
• Judging Llm-as-a-judge With Mt-bench And Chatbot Arena (2023) • No Venue
  Zheng et al.
• Florence-2: Advancing A Unified Representation For A Variety Of Vision Tasks (2023) • No Venue
  Xiao et al.
• BOOT: Data-free Distillation Of Denoising Diffusion Models With Bootstrapping (2023) • No Venue
  Gu et al.
• Mamba: Linear-time Sequence Modeling With Selective State Spaces (2023) • No Venue
  Albert Gu, Tri Dao
• Distilling Large Language Models For Biomedical Knowledge Extraction: A Case Study On Adverse Drug Events (2023) • No Venue
  Gu et al.
• Xiezhi: An Ever-updating Benchmark For Holistic Domain Knowledge Evaluation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Gu et al.
• Chatgpt Or Grammarly? Evaluating Chatgpt On Grammatical Error Correction Benchmark (2023) • Arxiv • 48 citations
  Wu et al.
• Clever Hans Or Neural Theory Of Mind? Stress Testing Social Reasoning In Large Language Models (2023) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Shapira et al.
• Hallusionbench: An Advanced Diagnostic Suite For Entangled Language Hallucination And Visual Illusion In Large Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 77 citations
  Guan et al.
• Language Models Hallucinate, But May Excel At Fact Verification (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 12 citations
  Guan et al.
• Tiny Lvlm-ehub: Early Multimodal Experiments With Bard (2023) • No Venue
  Shao et al.
• Xcomet: Transparent Machine Translation Evaluation Through Fine-grained Error Detection (2023) • Transactions of the Association for Computational Linguistics • 27 citations
  Guerreiro et al.
• Legalbench: A Collaboratively Built Benchmark For Measuring Legal Reasoning In Large Language Models (2023) • SSRN Electronic Journal • 99 citations
  Guha et al.
• Knowledge Prompt-tuning For Sequential Recommendation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 22 citations
  Zhai et al.
• Detecting And Preventing Hallucinations In Large Vision Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 100 citations
  Anisha Gunjal, Jihan Yin, Erhan Bas
• Zero-shot Generative Model Adaptation Via Image-specific Prompt Learning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Guo et al.
• Connecting Large Language Models With Evolutionary Algorithms Yields Powerful Prompt Optimizers (2023) • No Venue
  Guo et al.
• Animatediff: Animate Your Personalized Text-to-image Diffusion Models Without Specific Tuning (2023) • No Venue
  Guo et al.
• Towards Explainable Conversational Recommender Systems (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 21 citations
  Guo et al.
• PPTC Benchmark: Evaluating Large Language Models For Powerpoint Task Completion (2023) • No Venue
  Guo et al.
• Motionlm: Multi-agent Motion Forecasting As Language Modeling (2023) • No Venue
  Seff et al.
• Alignscore: Evaluating Factual Consistency With A Unified Alignment Function (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Zha et al.
• Scaling Clinical Trial Matching Using Large Language Models: A Case Study In Oncology (2023) • No Venue
  Wong et al.
• Codegeex: A Pre-trained Model For Code Generation With Multilingual Benchmarking On Humaneval-x (2023) • KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 199 citations
  Zheng et al.
• A Real-world Webagent With Planning, Long Context Understanding, And Program Synthesis (2023) • No Venue
  Gur et al.
• Rationalization For Explainable NLP: A Survey (2023) • Frontiers in Artificial Intelligence • 39 citations
  Gurrapu et al.
• Zeroscrolls: A Zero-shot Benchmark For Long Text Understanding (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 15 citations
  Shaham et al.
• A Confederacy Of Models: A Comprehensive Evaluation Of Llms On Creative Writing (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 38 citations
  Carlos Gómez-Rodríguez, Paul Williams
• Summarizing, Simplifying, And Synthesizing Medical Evidence Using GPT-3 (with Varying Success) (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 26 citations
  Shaib et al.
• Jina Embeddings: A Novel Set Of High-performance Sentence Embedding Models (2023) • Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023) • 10 citations
  Günther et al.
• Scaling Up And Distilling Down: Language-guided Robot Skill Acquisition (2023) • No Venue
  Huy Ha, Pete Florence, Shuran Song
• Lit-4-rsvqa: Lightweight Transformer-based Visual Question Answering In Remote Sensing (2023) • IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium • 13 citations
  Hackel et al.
• Neural Machine Translation Of Clinical Text: An Empirical Investigation Into Multilingual Pre-trained Language Models And Transfer-learning (2023) • Frontiers in Digital Health • 16 citations
  Han et al.
• Dear: Debiasing Vision-language Models With Additive Residuals (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Ashish Seth, Mayur Hemani, Chirag Agarwal
• Quilt-llava: Visual Instruction Tuning By Extracting Localized Narratives From Open-source Histopathology Videos (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 35 citations
  Seyfioglu et al.
• What Matters In Training A Gpt4-style Language Model With Multimodal Inputs? (2023) • No Venue
  Zeng et al.
• Agenttuning: Enabling Generalized Agent Abilities For Llms (2023) • No Venue
  Zeng et al.
• Measuring Massive Multitask Chinese Understanding (2023) • Arxiv • 11 citations
  Hui Zeng
• Open-sourcing Highly Capable Foundation Models: An Evaluation Of Risks, Benefits, And Alternative Methods For Pursuing Open-source Objectives (2023) • SSRN Electronic Journal • 16 citations
  Seger et al.
• Chateda: A Large Language Model Powered Autonomous Agent For EDA (2023) • 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD) • 37 citations
  He et al.
• Jais And Jais-chat: Arabic-centric Foundation And Instruction-tuned Open Generative Large Language Models (2023) • No Venue
  Sengupta et al.
• Fastervit: Fast Vision Transformers With Hierarchical Attention (2023) • No Venue
  Hatamizadeh et al.
• Can Large Language Models Understand Real-world Complex Instructions? (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  He et al.
• Saycanpay: Heuristic Planning With Large Language Models Using Learnable Domain Knowledge (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  Rishi Hazra, Pedro Zuidberg Dos Martires, Luc de Raedt
• Annollm: Making Large Language Models To Be Better Crowdsourced Annotators (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track) • 54 citations
  He et al.
• A Survey Of Large Language Models For Healthcare: From Data, Technology, And Applications To Accountability And Ethics (2023) • Arxiv • 52 citations
  He et al.
• Minding Language Models' (lack Of) Theory Of Mind: A Plug-and-play Multi-character Belief Tracker (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Sclar et al.
• Large Language Models As Zero-shot Conversational Recommenders (2023) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 98 citations
  He et al.
• Mgtbench: Benchmarking Machine-generated Text Detection (2023) • Arxiv • 30 citations
  He et al.
• You Only Prompt Once: On The Capabilities Of Prompt Learning On Large Language Models To Tackle Toxic Content (2023) • 2024 IEEE Symposium on Security and Privacy (SP) • 22 citations
  He et al.
• A Picture Is Worth A Thousand Words: Principled Recaptioning Improves Image Generation (2023) • No Venue
  Segalis et al.
• TPTU: Task Planning And Tool Usage Of Large Language Model-based AI Agents (2023) • No Venue
  Ruan et al.
• Gliner: Generalist Model For Named Entity Recognition Using Bidirectional Transformer (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 40 citations
  Zaratiana et al.
• Unleashing GPT On The Metaverse: Savior Or Destroyer? (2023) • Arxiv • 14 citations
  Pengyuan Zhou
• Large Language Models Can Accurately Predict Searcher Preferences (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 85 citations
  Thomas et al.
• Inseq: An Interpretability Toolkit For Sequence Generation Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 24 citations
  Sarti et al.
• When "A Helpful Assistant" Is Not Really Helpful: Personas In System Prompts Do Not Improve Performances Of Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 24 citations
  Zheng et al.
• An Empirical Evaluation Of Using Large Language Models For Automated Unit Test Generation (2023) • IEEE Transactions on Software Engineering • 215 citations
  Schäfer et al.
• How Good Are GPT Models At Machine Translation? A Comprehensive Evaluation (2023) • Arxiv • 178 citations
  Hendy et al.
• Style Aligned Image Generation Via Shared Attention (2023) • No Venue
  Hertz et al.
• A Survey On Model Compression For Large Language Models (2023) • Transactions of the Association for Computational Linguistics • 107 citations
  Zhu et al.
• Evaluating Large Language Models On A Highly-specialized Topic, Radiation Oncology Physics (2023) • Frontiers in Oncology • 120 citations
  Holmes et al.
• Cogagent: A Visual Language Model For GUI Agents (2023) • No Venue
  Hong et al.
• Visual Writing Prompts: Character-grounded Story Generation With Curated Image Sequences (2023) • Transactions of the Association for Computational Linguistics • 21 citations
  Hong et al.
• Towards Llm-based Autograding For Short Textual Answers (2023) • 16th International Conference on Computer Supported Education • 23 citations
  Johannes Schneider, Bernd Schenk, Christina Niklaus
• Ralle: A Framework For Developing And Evaluating Retrieval-augmented Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 13 citations
  Hoshi et al.
• Tool Documentation Enables Zero-shot Tool-usage With Large Language Models (2023) • No Venue
  Hsieh et al.
• Helping The Helper: Supporting Peer Counselors Via Ai-empowered Practice And Feedback (2023) • Arxiv • 10 citations
  Hsu et al.
• Visual Program Distillation: Distilling Tools And Programmatic Reasoning Into Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Hu et al.
• Prompting Is Not A Substitute For Probability Measurements In Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 25 citations
  Jennifer Hu, Roger Levy
• RSGPT: A Remote Sensing Vision Language Model And Benchmark (2023) • ISPRS Journal of Photogrammetry and Remote Sensing • 65 citations
  Hu et al.
• TIFA: Accurate And Interpretable Text-to-image Faithfulness Evaluation With Question Answering (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 80 citations
  Hu et al.
• ARB: Advanced Reasoning Benchmark For Large Language Models (2023) • No Venue
  Sawada et al.
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  Jaromir Savelka
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  Scaboro et al.
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  Sarto et al.
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  Yue et al.
• MMMU: A Massive Multi-discipline Multimodal Understanding And Reasoning Benchmark For Expert AGI (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 194 citations
  Yue et al.
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  Yue et al.
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  Zhou et al.
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  Zhou et al.
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  Zhiyuli et al.
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  Ziems et al.
• C-eval: A Multi-level Multi-discipline Chinese Evaluation Suite For Foundation Models (2023) • Arxiv • 90 citations
  Huang et al.
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  Huang et al.
• Bias Testing And Mitigation In Llm-based Code Generation (2023) • ACM Transactions on Software Engineering and Methodology • 17 citations
  Huang et al.
• Automatic Macro Mining From Interaction Traces At Scale (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 10 citations
  Huang et al.
• Zero-shot Faithful Factual Error Correction (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Kung-Hsiang Huang, Hou Pong Chan, Heng Ji
• Dynamic-superb: Towards A Dynamic, Collaborative, And Comprehensive Instruction-tuning Benchmark For Speech (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 17 citations
  Huang et al.
• Fine-grained Controllable Video Generation Via Object Appearance And Context (2023) • No Venue
  Huang et al.
• Kiut: Knowledge-injected U-transformer For Radiology Report Generation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 88 citations
  Zhongzhen Huang, Xiaofan Zhang, Shaoting Zhang
• Not All Languages Are Created Equal In Llms: Improving Multilingual Capability By Cross-lingual-thought Prompting (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 36 citations
  Huang et al.
• Make-an-audio: Text-to-audio Generation With Prompt-enhanced Diffusion Models (2023) • Arxiv • 46 citations
  Huang et al.
• Smartedit: Exploring Complex Instruction-based Image Editing With Multimodal Large Language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 44 citations
  Huang et al.
• Memorybank: Enhancing Large Language Models With Long-term Memory (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 90 citations
  Zhong et al.
• RLHF-V: Towards Trustworthy Mllms Via Behavior Alignment From Fine-grained Correctional Human Feedback (2023) • No Venue
  Yu et al.
• Chimed-gpt: A Chinese Medical Large Language Model With Full Training Regime And Better Alignment To Human Preferences (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 23 citations
  Tian et al.
• Just Ask For Calibration: Strategies For Eliciting Calibrated Confidence Scores From Language Models Fine-tuned With Human Feedback (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 56 citations
  Tian et al.
• Stay On Topic With Classifier-free Guidance (2023) • No Venue
  Sanchez et al.
• From Cooking Recipes To Robot Task Trees -- Improving Planning Correctness And Task Efficiency By Leveraging Llms With A Knowledge Network (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 10 citations
  Md Sadman Sakib, Yu Sun
• Back To The Future: Towards Explainable Temporal Reasoning With Large Language Models (2023) • WWW '24: The ACM Web Conference 2024 • 17 citations
  Yuan et al.
• Camels In A Changing Climate: Enhancing LM Adaptation With Tulu 2 (2023) • No Venue
  Ivison et al.
• Lamp: When Large Language Models Meet Personalization (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 51 citations
  Salemi et al.
• Parrot: Translating During Chat Using Large Language Models Tuned With Human Translation And Feedback (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Jiao et al.
• Breaking The Silence: The Threats Of Using Llms In Software Engineering (2023) • ICSE-NIER'24: 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results • 61 citations
  June Sallou, Thomas Durieux, Annibale Panichella
• Magicapture: High-resolution Multi-concept Portrait Customization (2023) • No Venue
  Junha Hyung, Jaeyo Shin, Jaegul Choo
• METAL: Metamorphic Testing Framework For Analyzing Large-language Model Qualities (2023) • 2024 IEEE Conference on Software Testing, Verification and Validation (ICST) • 12 citations
  Sangwon Hyun, Mingyu Guo, M. Ali Babar
• Local 3D Editing Via 3D Distillation Of CLIP Knowledge (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Hyung et al.
• Perception, Performance, And Detectability Of Conversational Artificial Intelligence Across 32 University Courses (2023) • Scientific Reports • 110 citations
  Ibrahim et al.
• A Symmetric Dual Encoding Dense Retrieval Framework For Knowledge-intensive Visual Question Answering (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 19 citations
  Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani
• Scaling Down To Scale Up: A Cost-benefit Analysis Of Replacing Openai's LLM With Open Source Slms In Production (2023) • 2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) • 30 citations
  Irugalbandara et al.
• Nuscenes-mqa: Integrated Evaluation Of Captions And QA For Autonomous Driving Datasets Using Markup Annotations (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) • 12 citations
  Inoue et al.
• LLM Platform Security: Applying A Systematic Evaluation Framework To Openai's Chatgpt Plugins (2023) • Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society • 19 citations
  Umar Iqbal, Tadayoshi Kohno, Franziska Roesner
• Freshllms: Refreshing Large Language Models With Search Engine Augmentation (2023) • No Venue
  Vu et al.
• Deepspeed Ulysses: System Optimizations For Enabling Training Of Extreme Long Sequence Transformer Models (2023) • No Venue
  Jacobs et al.
• Learning Vision From Models Rivals Learning Vision From Data (2023) • No Venue
  Tian et al.
• PEEKABOO: Interactive Video Generation Via Masked-diffusion (2023) • No Venue
  Jain et al.
• Evaluation Of Chatgpt On Biomedical Tasks: A Zero-shot Comparison With Fine-tuned Generative Transformers (2023) • The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks • 24 citations
  Jahan et al.
• A Comprehensive Evaluation Of Large Language Models On Benchmark Biomedical Text Processing Tasks (2023) • Computers in Biology and Medicine • 69 citations
  Jahan et al.
• Bring Your Own Data! Self-supervised Evaluation For Large Language Models (2023) • No Venue
  Jain et al.
• Artificial Intelligence-enabled Intelligent Assistant For Personalized And Adaptive Learning In Higher Education (2023) • Information • 322 citations
  Sajja et al.
• Vcoder: Versatile Vision Encoders For Multimodal Large Language Models (2023) • No Venue
  Jitesh Jain, Jianwei Yang, Humphrey Shi
• Faithful Persona-based Conversational Dataset Generation With Large Language Models (2023) • No Venue
  Jandaghi et al.
• Self-evaluation Guided Beam Search For Reasoning (2023) • Arxiv • 10 citations
  Xie et al.
• Can Chatgpt Replace Stackoverflow? A Study On Robustness And Reliability Of Large Language Model Code Generation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 37 citations
  Li Zhong, Zilong Wang
• Rethinking FID: Towards A Better Evaluation Metric For Image Generation (2023) • No Venue
  Jayasumana et al.
• Gender Bias In BERT -- Measuring And Analysing Biases Through Sentiment Rating In A Realistic Downstream Classification Task (2023) • Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP) • 27 citations
  Sophie Jentzsch, Cigdem Turan
• Agieval: A Human-centric Benchmark For Evaluating Foundation Models (2023) • Arxiv • 60 citations
  Zhong et al.
• Learning To Speak From Text: Zero-shot Multilingual Text-to-speech With Unsupervised Text Pretraining (2023) • Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence • 13 citations
  Saeki et al.
• Genrec: Large Language Model For Generative Recommendation (2023) • Lecture Notes in Computer Science • 42 citations
  Ji et al.
• Exploring The Impact Of Instruction Data Scaling On Large Language Models: An Empirical Study On Real-world Use Cases (2023) • Arxiv • 19 citations
  Ji et al.
• Hierarchical Verbalizer For Few-shot Hierarchical Text Classification (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Ji et al.
• Mquake: Assessing Knowledge Editing In Language Models Via Multi-hop Questions (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 22 citations
  Zhong et al.
• Is Chatgpt A Good Translator? Yes With GPT-4 As The Engine (2023) • Arxiv • 310 citations
  Jiao et al.
• Attt2m: Text-driven Human Motion Generation With Multi-perspective Attention Mechanism (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 50 citations
  Zhong et al.
• Rank2tell: A Multimodal Driving Dataset For Joint Importance Ranking And Reasoning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 39 citations
  Sachdeva et al.
• Similarity-aware Multimodal Prompt Learning For Fake News Detection (2023) • Information Sciences • 34 citations
  Jiang et al.
• Longllmlingua: Accelerating And Enhancing Llms In Long Context Scenarios Via Prompt Compression (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 39 citations
  Jiang et al.
• Llm-blender: Ensembling Large Language Models With Pairwise Ranking And Generative Fusion (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 73 citations
  Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
• Personallm: Investigating The Ability Of Large Language Models To Express Personality Traits (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 47 citations
  Jiang et al.
• Motiongpt: Human Motion As A Foreign Language (2023) • No Venue
  Jiang et al.
• Text-augmented Open Knowledge Graph Completion Via Pre-trained Language Models (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 15 citations
  Jiang et al.
• FABRIC: Personalizing Diffusion Models With Iterative Feedback (2023) • No Venue
  Rütte et al.
• Pdftriage: Question Answering Over Long, Structured Documents (2023) • No Venue
  Saad-Falcon et al.
• ARES: An Automated Evaluation Framework For Retrieval-augmented Generation Systems (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 56 citations
  Saad-Falcon et al.
• Revisiting Non-english Text Simplification: A Unified Multilingual Benchmark (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Michael J. Ryan, Tarek Naous, Wei Xu
• Benchmarking Machine Translation With Cultural Awareness (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 12 citations
  Yao et al.
• Randomized Positional Encodings Boost Length Generalization Of Transformers (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 14 citations
  Ruoss et al.
• Visually-prompted Language Model For Fine-grained Scene Graph Generation In An Open World (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 23 citations
  Yu et al.
• Solving Challenging Math Word Problems Using GPT-4 Code Interpreter With Code-based Self-verification (2023) • No Venue
  Zhou et al.
• Visual-language Prompt Tuning With Knowledge-guided Context Optimization (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 162 citations
  Hantao Yao, Rui Zhang, Changsheng Xu
• Celebv-text: A Large-scale Facial Text-video Dataset (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 30 citations
  Yu et al.
• Chain-of-note: Enhancing Robustness In Retrieval-augmented Language Models (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 24 citations
  Yu et al.
• Does GPT-4 Pass The Turing Test? (2023) • No Venue
  Cameron Jones, Benjamin Bergen
• Large Language Models On Graphs: A Comprehensive Survey (2023) • IEEE Transactions on Knowledge and Data Engineering • 61 citations
  Jin et al.
• An Image Is Worth Multiple Words: Learning Object Level Concepts Using Multi-concept Prompt Learning (2023) • No Venue
  Jin et al.
• Darkbert: A Language Model For The Dark Side Of The Internet (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 30 citations
  Jin et al.
• Better To Ask In English: Cross-lingual Evaluation Of Large Language Models For Healthcare Queries (2023) • WWW '24: The ACM Web Conference 2024 • 41 citations
  Jin et al.
• Medcpt: Contrastive Pre-trained Transformers With Large-scale Pubmed Search Logs For Zero-shot Biomedical Information Retrieval (2023) • Bioinformatics • 85 citations
  Jin et al.
• Matching Patients To Clinical Trials With Large Language Models (2023) • Nature Communications • 134 citations
  Jin et al.
• Audiopalm: A Large Language Model That Can Speak And Listen (2023) • No Venue
  Rubenstein et al.
• XTREME-UP: A User-centric Scarce-data Benchmark For Under-represented Languages (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Ruder et al.
• Reeval: Automatic Hallucination Evaluation For Retrieval-augmented Large Language Models Via Transferable Adversarial Attacks (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 10 citations
  Yu et al.
• BLESS: Benchmarking Large Language Models On Sentence Simplification (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 13 citations
  Kew et al.
• Mm-vet: Evaluating Large Multimodal Models For Integrated Capabilities (2023) • No Venue
  Yu et al.
• Faithscore: Fine-grained Evaluations Of Hallucinations In Large Vision-language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 15 citations
  Jing et al.
• Metamath: Bootstrap Your Own Mathematical Questions For Large Language Models (2023) • No Venue
  Yu et al.
• Merlin:empowering Multimodal Llms With Foresight Minds (2023) • No Venue
  Yu et al.
• Hallucidoctor: Mitigating Hallucinatory Toxicity In Visual Instruction Data (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 36 citations
  Yu et al.
• Kola: Carefully Benchmarking World Knowledge Of Large Language Models (2023) • No Venue
  Yu et al.
• Copal: Corrective Planning Of Robot Actions With Large Language Models (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 17 citations
  Joublin et al.
• Exploiting Asymmetry For Synthetic Training Data Generation: Synthie And The Case Of Information Extraction (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 41 citations
  Josifoski et al.
• "it's Not Like Jarvis, But It's Pretty Close!" -- Examining Chatgpt's Usage Among Undergraduate Students In Computer Science (2023) • ACE 2024: Australian Computing Education Conference • 33 citations
  Joshi et al.
• Semeval-2023 Task 7: Multi-evidence Natural Language Inference For Clinical Trial Data (2023) • Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) • 28 citations
  Jullien et al.
• Editing Large Language Models: Problems, Methods, And Opportunities (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 58 citations
  Yao et al.
• Code-switching Text Generation And Injection In Mandarin-english ASR (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Yu et al.
• TARJAMAT: Evaluation Of Bard And Chatgpt On Machine Translation Of Ten Arabic Varieties (2023) • Proceedings of ArabicNLP 2023 • 14 citations
  Kadaoui et al.
• Cross-lingual Prompting: Improving Zero-shot Chain-of-thought Reasoning Across Languages (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Qin et al.
• Evaluating Open-domain Question Answering In The Era Of Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 79 citations
  Kamalloo et al.
• Text Encoders Bottleneck Compositionality In Contrastive Vision-language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Amita Kamath, Jack Hessel, Kai-Wei Chang
• Fusecap: Leveraging Large Language Models For Enriched Fused Image Captions (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 50 citations
  Rotstein et al.
• Augmentation-adapted Retriever Improves Generalization Of Language Models As Generic Plug-in (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Yu et al.
• Wice: Real-world Entailment For Claims In Wikipedia (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 19 citations
  Kamoi et al.
• Investigating Subtler Biases In Llms: Ageism, Beauty, Institutional, And Nationality Bias In Generative Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Mahammed Kamruzzaman, Md. Minul Islam Shovon, Gene Louis Kim
• Knowledge-aware Prompt Tuning For Generalizable Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 29 citations
  Kan et al.
• Animatezero: Video Diffusion Models Are Zero-shot Image Animators (2023) • No Venue
  Yu et al.
• Language-driven Representation Learning For Robotics (2023) • Robotics: Science and Systems 2023 • 45 citations
  Karamcheti et al.
• Large Language Models Effectively Leverage Document-level Context For Literary Translation, But Critical Errors Persist (2023) • Proceedings of the Eighth Conference on Machine Translation • 26 citations
  Marzena Karpinska, Mohit Iyyer
• Exploring The Efficacy Of Chatgpt In Analyzing Student Teamwork Feedback With An Existing Taxonomy (2023) • Arxiv • 15 citations
  Katz et al.
• A Better Way To Do Masked Language Model Scoring (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 12 citations
  Carina Kauf, Anna Ivanova
• Lightweight Transformers For Clinical Natural Language Processing (2023) • Natural Language Engineering • 16 citations
  Rohanian et al.
• Charting New Territories: Exploring The Geographic And Geospatial Capabilities Of Multimodal Llms (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 15 citations
  Roberts et al.
• Factually Consistent Summarization Via Reinforcement Learning With Textual Entailment Feedback (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Roit et al.
• Benchmarking Causal Study To Interpret Large Language Models For Source Code (2023) • 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME) • 11 citations
  Rodriguez-Cardenas et al.
• Chartqa: A Benchmark For Question Answering About Charts With Visual And Logical Reasoning (2022) • Findings of the Association for Computational Linguistics: ACL 2022 • 179 citations
  Masry et al.
• Fusion Of Self-supervised Learned Models For MOS Prediction (2022) • Interspeech 2022 • 22 citations
  Yang et al.
• Proactively Reducing The Hate Intensity Of Online Posts Via Hate Speech Normalization (2022) • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 11 citations
  Masud et al.
• An Efficiency Study For SPLADE Models (2022) • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval • 59 citations
  Carlos Lassance, Stéphane Clinchant
• Impact Of Pretraining Term Frequencies On Few-shot Reasoning (2022) • Arxiv • 51 citations
  Razeghi et al.
• Tableformer: Robust Transformer Modeling For Table-text Encoding (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 36 citations
  Yang et al.
• Learning To Compose Soft Prompts For Compositional Zero-shot Learning (2022) • Arxiv • 41 citations
  Nihal V. Nayak, Peilin Yu, Stephen H. Bach
• Dual Task Framework For Improving Persona-grounded Dialogue Dataset (2022) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Kim et al.
• Uncontrolled Lexical Exposure Leads To Overestimation Of Compositional Generalization In Pretrained Models (2022) • Arxiv • 11 citations
  Najoung Kim, Tal Linzen, Paul Smolensky
• Scaling Up Models And Data With \(\texttt{t5x}\) And \(\texttt{seqio}\) (2022) • Arxiv • 48 citations
  Roberts et al.
• Omnixai: A Library For Explainable AI (2022) • Arxiv • 23 citations
  Yang et al.
• How Far Are We From Robust Long Abstractive Summarization? (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Koh et al.
• Locally Typical Sampling (2022) • Arxiv • 17 citations
  Meister et al.
• KGLM: Integrating Knowledge Graph Structure In Language Models For Link Prediction (2022) • Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023) • 17 citations
  Jason Youn, Ilias Tagkopoulos
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  You et al.
• Vision-language Pre-training With Triple Contrastive Learning (2022) • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 251 citations
  Yang et al.
• Memetector: Enforcing Deep Focus For Meme Detection (2022) • International Journal of Multimedia Information Retrieval • 10 citations
  Christos Koutlis, Manos Schinas, Symeon Papadopoulos
• Rankgen: Improving Text Generation With Large Ranking Models (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 27 citations
  Krishna et al.
• Multi-hop Question Answering (2022) • Arxiv • 18 citations
  Vaibhav Mavi, Anubhav Jangra, Adam Jatowt
• Discovering Language Model Behaviors With Model-written Evaluations (2022) • Findings of the Association for Computational Linguistics: ACL 2023 • 58 citations
  Perez et al.
• Newspod: Automatic And Interactive News Podcasts (2022) • 27th International Conference on Intelligent User Interfaces • 18 citations
  Laban et al.
• Interactive Code Generation Via Test-driven User-intent Formalization (2022) • Arxiv • 24 citations
  Lahiri et al.
• Etrica: Event-triggered Context-aware Story Generation Augmented By Cross Attention (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 11 citations
  Tang et al.
• Varifocal Question Generation For Fact-checking (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Nedjma Ousidhoum, Zhangdie Yuan, Andreas Vlachos
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  Ott et al.
• Educational Question Generation Of Children Storybooks Via Question Type Distribution Learning And Event-centric Summarization (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 36 citations
  Zhao et al.
• Cocoa-mt: A Dataset And Benchmark For Contrastive Controlled MT With Application To Formality (2022) • Findings of the Association for Computational Linguistics: NAACL 2022 • 17 citations
  Nădejde et al.
• Learning To Revise References For Faithful Summarization (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 24 citations
  Adams et al.
• A Few Thousand Translations Go A Long Way! Leveraging Pre-trained Models For African News Translation (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 15 citations
  Adelani et al.
• Indicxnli: Evaluating Multilingual Inference For Indian Languages (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
• In-context Examples Selection For Machine Translation (2022) • Arxiv • 17 citations
  Agrawal et al.
• Mconala: A Benchmark For Code Generation From Multiple Natural Languages (2022) • Findings of the Association for Computational Linguistics: EACL 2023 • 14 citations
  Wang et al.
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  Luzi Sennhauser, Robert C. Berwick
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  Guzmán et al.
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  Ramakanth Pasunuru, Mohit Bansal
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  Shi et al.
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  Youxuan Jiang, Jonathan K. Kummerfeld, Walter S. Lasecki
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  Lowe et al.
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  Zhang et al.
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  Yan Huang, Qi Wu, Liang Wang
• MAT: A Multimodal Attentive Translator For Image Captioning (2017) • Twenty-Sixth International Joint Conference on Artificial Intelligence • 40 citations
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  Yixin Nie, Mohit Bansal
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  Robin Jia, Percy Liang
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  Ren et al.
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  Jindřich Libovický, Jindřich Helcl
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  Ramakrishnan et al.
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  Xu et al.
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  Lowe et al.
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• Roi-reasoning: Rational Optimization For Inference Via Pre-computation Meta-cognition (2026) • No Venue
  Muyang Zhao, Qi Qi, Hao Sun
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  Zhong et al.
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  Yuan et al.
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• CGPT: Cluster-guided Partial Tables With Llm-generated Supervision For Table Retrieval (2026) • No Venue
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• Molmo2: Open Weights And Data For Vision-language Models With Video Understanding And Grounding (2026) • No Venue
  Clark et al.
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• Stable-diffcoder: Pushing The Frontier Of Code Diffusion Large Language Model (2026) • No Venue
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• SALAD: Achieve High-sparsity Attention Via Efficient Linear Attention Tuning For Video Diffusion Transformer (2026) • No Venue
  Fang et al.
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  Zhitao He, Zongwei Lyu, Yi R Fung
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  Heidenreich et al.
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  Jiang et al.
• An Empirical Study On Preference Tuning Generalization And Diversity Under Domain Shift (2026) • No Venue
  Constantinos Karouzos, Xingwei Tan, Nikolaos Aletras
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  Kim et al.
• Think-then-generate: Reasoning-aware Text-to-image Diffusion With LLM Encoders (2026) • No Venue
  Kou et al.
• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
• THINKSAFE: Self-generated Safety Alignment For Reasoning Models (2026) • No Venue
  Lee et al.
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  Li et al.
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  Li et al.
• Rubrichub: A Comprehensive And Highly Discriminative Rubric Dataset Via Automated Coarse-to-fine Generation (2026) • No Venue
  Li et al.
• Scientific Image Synthesis: Benchmarking, Methodologies, And Downstream Utility (2026) • No Venue
  Lin et al.
• Ministral 3 (2026) • No Venue
  Liu et al.
• Chartverse: Scaling Chart Reasoning Via Reliable Programmatic Synthesis From Scratch (2026) • No Venue
  Liu et al.
• Profit: Leveraging High-value Signals In SFT Via Probability-guided Token Selection (2026) • No Venue
  Liu et al.
• NAACL: Noise-aware Verbal Confidence Calibration For Llms In RAG Systems (2026) • No Venue
  Liu et al.
• Aligning Text, Code, And Vision: A Multi-objective Reinforcement Learning Framework For Text-to-visualization (2026) • No Venue
  Rahman et al.
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  Ren et al.
• Self-distillation Enables Continual Learning (2026) • No Venue
  Shenfeld et al.
• SERA: Soft-verified Efficient Repository Agents (2026) • No Venue
  Shen et al.
• Envscaler: Scaling Tool-interactive Environments For LLM Agent Via Programmatic Synthesis (2026) • No Venue
  Song et al.
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  Hengyi Wang, Lourdes Agapito
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• Knowledge Distillation In Automated Annotation: Supervised Text Classification With Llm-generated Training Labels (2024) • Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024) • 15 citations
  Nicholas Pangakis, Samuel Wolken
• Phased Instruction Fine-tuning For Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Pang et al.
• Llamaduo: Llmops Pipeline For Seamless Migration From Service Llms To Small-scale Local Llms (2024) • No Venue
  Park et al.
• Textboost: Towards One-shot Personalization Of Text-to-image Models Via Fine-tuning Text Encoder (2024) • No Venue
  Nahyeon Park, Kunhee Kim, Hyunjung Shim
• "in-context Learning" Or: How I Learned To Stop Worrying And Love "applied Information Retrieval" (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 10 citations
  Andrew Parry, Debasis Ganguly, Manish Chandra
• Datadreamer: A Tool For Synthetic Data Generation And Reproducible LLM Workflows (2024) • No Venue
  Ajay Patel, Colin Raffel, Chris Callison-Burch
• Building Math Agents With Multi-turn Iterative Preference Learning (2024) • No Venue
  Xiong et al.
• Advprompter: Fast Adaptive Adversarial Prompting For Llms (2024) • No Venue
  Paulus et al.
• Weighted-reward Preference Optimization For Implicit Model Fusion (2024) • No Venue
  Yang et al.
• Controlnext: Powerful And Efficient Control For Image And Video Generation (2024) • No Venue
  Peng et al.
• LC-LLM: Explainable Lane-change Intention And Trajectory Predictions With Large Language Models (2024) • Communications in Transportation Research • 27 citations
  Peng et al.
• Slimlm: An Efficient Small Language Model For On-device Document Assistance (2024) • No Venue
  Pham et al.
• H2o-danube3 Technical Report (2024) • No Venue
  Pfeiffer et al.
• TCM-FTP: Fine-tuning Large Language Models For Herbal Prescription Prediction (2024) • 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) • 12 citations
  Zhou et al.
• Mllm-protector: Ensuring Mllm's Safety Without Hurting Performance (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 22 citations
  Pi et al.
• Personalized Visual Instruction Tuning (2024) • No Venue
  Pi et al.
• Training Language Models On Synthetic Edit Sequences Improves Code Synthesis (2024) • No Venue
  Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
• The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning And Large Language Models (2024) • Journal of Artificial Intelligence Research • 14 citations
  Pternea et al.
• Bootpig: Bootstrapping Zero-shot Personalized Image Generation Capabilities In Pretrained Diffusion Models (2024) • No Venue
  Purushwalkam et al.
• Less Is More: Accurate Speech Recognition & Translation Without Web-scale Data (2024) • Interspeech 2024 • 10 citations
  Puvvada et al.
• Constraint Back-translation Improves Complex Instruction Following Of Large Language Models (2024) • No Venue
  Qi et al.
• In-context Editing: Learning Knowledge From Self-induced Distributions (2024) • No Venue
  Qi et al.
• Unimumo: Unified Text, Music And Motion Generation (2024) • No Venue
  Yang et al.
• Improving Retrieval-augmented Generation In Medicine With Iterative Follow-up Questions (2024) • Biocomputing 2025 • 32 citations
  Xiong et al.
• Large Language Models Can Learn Temporal Reasoning (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Xiong et al.
• Landermt: Detecting And Routing Language-aware Neurons For Selectively Finetuning Llms To Machine Translation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Zhu et al.
• Empirical Guidelines For Deploying Llms Onto Resource-constrained Edge Devices (2024) • ACM Transactions on Design Automation of Electronic Systems • 12 citations
  Qin et al.
• Robust Implementation Of Retrieval-augmented Generation On Edge-based Computing-in-memory Architectures (2024) • ICCAD '24: 43rd IEEE/ACM International Conference on Computer-Aided Design • 10 citations
  Qin et al.
• Towards Building Multilingual Language Model For Medicine (2024) • Nature Communications • 70 citations
  Qiu et al.
• Mulberry: Empowering MLLM With O1-like Reasoning And Reflection Via Collective Monte Carlo Tree Search (2024) • No Venue
  Yao et al.
• Hdldebugger: Streamlining HDL Debugging With Large Language Models (2024) • ACM Transactions on Design Automation of Electronic Systems • 19 citations
  Yao et al.
• WARM: On The Benefits Of Weight Averaged Reward Models (2024) • No Venue
  Ramé et al.
• Learning To Localize Objects Improves Spatial Reasoning In Visual-llms (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Ranasinghe et al.
• A Fine-tuning Enhanced RAG System With Quantized Influence Measure As AI Judge (2024) • Scientific Reports • 24 citations
  Keshav Rangan, Yiqiao Yin
• Llms Are One-shot URL Classifiers And Explainers (2024) • Computer Networks • 11 citations
  Rashid et al.
• Deepseek-prover-v1.5: Harnessing Proof Assistant Feedback For Reinforcement Learning And Monte-carlo Tree Search (2024) • No Venue
  Xin et al.
• How To Synthesize Text Data Without Model Collapse? (2024) • No Venue
  Zhu et al.
• Detclipv3: Towards Versatile Generative Open-vocabulary Object Detection (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 21 citations
  Yao et al.
• VISTA: Enhancing Long-duration And High-resolution Video Understanding By Video Spatiotemporal Augmentation (2024) • No Venue
  Ren et al.
• Large Language Model For Patent Concept Generation (2024) • Advanced Engineering Informatics • 13 citations
  Runtao Ren, Jian Ma, Jianxi Luo
• On Memorization Of Large Language Models In Logical Reasoning (2024) • No Venue
  Xie et al.
• Pops: Photo-inspired Diffusion Operators (2024) • No Venue
  Richardson et al.
• Mini-omni: Language Models Can Hear, Talk While Thinking In Streaming (2024) • No Venue
  Zhifei Xie, Changqiao Wu
• Hackphyr: A Local Fine-tuned LLM Agent For Network Security Environments (2024) • No Venue
  Maria Rigaki, Carlos Catania, Sebastian Garcia
• Achieving Peak Performance For Large Language Models: A Systematic Review (2024) • IEEE Access • 20 citations
  Zhyar Rzgar K Rostam, Sándor Szénási, Gábor Kertész
• Emovit: Revolutionizing Emotion Insights With Visual Instruction Tuning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Xie et al.
• Open-finllms: Open Multimodal Large Language Models For Financial Applications (2024) • No Venue
  Xie et al.
• The Political Preferences Of Llms (2024) • PLOS ONE • 35 citations
  David Rozado
• Noise-aware Training Of Layout-aware Language Models (2024) • No Venue
  Sarkhel et al.
• Fusechat: Knowledge Fusion Of Chat Models (2024) • No Venue
  Wan et al.
• Foundational Autoraters: Taming Large Language Models For Better Automatic Evaluation (2024) • No Venue
  Vu et al.
• Vhdl-eval: A Framework For Evaluating Large Language Models In VHDL Code Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 12 citations
  Vijayaraghavan et al.
• Sentiment Analysis Of Lithuanian Online Reviews Using Large Language Models (2024) • No Venue
  Brigita Vileikytė, Mantas Lukoševičius, Lukas Stankevičius
• Hermes 3 Technical Report (2024) • No Venue
  Ryan Teknium, Jeffrey Quesnelle, Chen Guang
• Dim: Diffusion Mamba For Efficient High-resolution Image Synthesis (2024) • No Venue
  Teng et al.
• Autotrain: No-code Training For State-of-the-art Models (2024) • No Venue
  Abhishek Thakur
• Spreadsheetllm: Encoding Spreadsheets For Large Language Models (2024) • No Venue
  Tian et al.
• Toward Self-improvement Of Llms Via Imagination, Searching, And Criticizing (2024) • No Venue
  Tian et al.
• Personalized Large Language Models (2024) • 2024 IEEE International Conference on Data Mining Workshops (ICDMW) • 17 citations
  Woźniak et al.
• Facilitating Large Language Model Russian Adaptation With Learned Embedding Propagation (2024) • No Venue
  Mikhail Tikhomirov, Daniil Chernyshev
• Can Llms Learn From Previous Mistakes? Investigating Llms' Errors To Boost For Reasoning (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Tong et al.
• Bootstrapping Llm-based Task-oriented Dialogue Agents Via Self-talk (2024) • No Venue
  Ulmer et al.
• Improving Text Embeddings For Smaller Language Models Using Contrastive Fine-tuning (2024) • No Venue
  Trapoom Ukarapol, Zhicheng Lee, Amy Xin
• IM-RAG: Multi-round Retrieval-augmented Generation Through Learning Inner Monologues (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 26 citations
  Yang et al.
• Pllava : Parameter-free Llava Extension From Images To Videos For Video Dense Captioning (2024) • No Venue
  Xu et al.
• Aya Dataset: An Open-access Collection For Multilingual Instruction Tuning (2024) • No Venue
  Singh et al.
• Both Text And Images Leaked! A Systematic Analysis Of Multimodal LLM Data Contamination (2024) • No Venue
  Song et al.
• COAT: Compressing Optimizer States And Activation For Memory-efficient FP8 Training (2024) • No Venue
  Xi et al.
• Hierarchical Patch Diffusion Models For High-resolution Video Generation (2024) • No Venue
  Skorokhodov et al.
• MARVEL-40M+: Multi-level Visual Elaboration For High-fidelity Text-to-3d Content Creation (2024) • No Venue
  Sinha et al.
• Aligning Large Language Models For Enhancing Psychiatric Interviews Through Symptom Delineation And Summarization: Pilot Study (2024) • JMIR Formative Research • 10 citations
  So et al.
• A Large Encoder-decoder Family Of Foundation Models For Chemical Language (2024) • No Venue
  Soares et al.
• BA-SAM: Scalable Bias-mode Attention Mask For Segment Anything Model (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Song et al.
• Synthesizing Text-to-sql Data From Weak And Strong Llms (2024) • No Venue
  Yang et al.
• Lora-whisper: Parameter-efficient And Extensible Multilingual ASR (2024) • Interspeech 2024 • 15 citations
  Song et al.
• Stronger Models Are NOT Stronger Teachers For Instruction Tuning (2024) • No Venue
  Xu et al.
• Pedagogical Alignment Of Large Language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 13 citations
  Sonkar et al.
• Signed-prompt: A New Approach To Prevent Prompt Injection Attacks Against Llm-integrated Applications (2024) • 2024 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND MECHATRONICS (ICCSM 2024) • 16 citations
  Xuchen Suo
• Unified Language-driven Zero-shot Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Yang et al.
• Fine Tuning Vs. Retrieval Augmented Generation For Less Popular Knowledge (2024) • SIGIR-AP 2024: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region • 49 citations
  Heydar Soudani, Evangelos Kanoulas, Faegheh Hasibi
• Canttalkaboutthis: Aligning Language Models To Stay On Topic In Dialogues (2024) • No Venue
  Sreedhar et al.
• Funaudiollm: Voice Understanding And Generation Foundation Models For Natural Interaction Between Humans And Llms (2024) • No Venue
  Tongyi Speechteam
• PUB: A Pragmatics Understanding Benchmark For Assessing Llms' Pragmatics Capabilities (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Sravanthi et al.
• Scaling Granite Code Models To 128K Context (2024) • No Venue
  Stallone et al.
• Transferable And Principled Efficiency For Open-vocabulary Segmentation (2024) • No Venue
  Xu et al.
• Qwen2 Technical Report (2024) • No Venue
  Yang et al.
• Paligemma 2: A Family Of Versatile Vlms For Transfer (2024) • No Venue
  Steiner et al.
• Localizing Paragraph Memorization In Language Models (2024) • No Venue
  Stoehr et al.
• Jina-embeddings-v3: Multilingual Embeddings With Task Lora (2024) • No Venue
  Sturua et al.
• Llms Achieve Adult Human Performance On Higher-order Theory Of Mind Tasks (2024) • No Venue
  Street et al.
• Boostmvsnerfs: Boosting Mvs-based Nerfs To Generalizable View Synthesis In Large-scale Scenes (2024) • No Venue
  Su et al.
• Leveraging Open Knowledge For Advancing Task Expertise In Large Language Models (2024) • No Venue
  Yang et al.
• Law Of Vision Representation In Mllms (2024) • No Venue
  Yang et al.
• Loretta: Low-rank Economic Tensor-train Adaptation For Ultra-low-parameter Fine-tuning Of Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 13 citations
  Yang et al.
• Reuse Your Rewards: Reward Model Transfer For Zero-shot Cross-lingual Alignment (2024) • No Venue
  Wu et al.
• Branch-train-mix: Mixing Expert Llms Into A Mixture-of-experts LLM (2024) • No Venue
  Sukhbaatar et al.
• Amuro & Char: Analyzing The Relationship Between Pre-training And Fine-tuning Of Large Language Models (2024) • No Venue
  Kaiser Sun, Mark Dredze
• Fuxitranyu: A Multilingual Large Language Model Trained With Balanced Data (2024) • No Venue
  Sun et al.
• Parrot: Multilingual Visual Instruction Tuning (2024) • No Venue
  Sun et al.
• Fine-tuning Large Language Models With Human-inspired Learning Strategies In Medical Question Answering (2024) • No Venue
  Yang et al.
• Finrobot: An Open-source AI Agent Platform For Financial Applications Using Large Language Models (2024) • SSRN Electronic Journal • 19 citations
  Yang et al.
• DGL: Dynamic Global-local Prompt Tuning For Text-video Retrieval (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Yang et al.
• Evaluating And Aligning Codellms On Human Preference (2024) • No Venue
  Yang et al.
• Mobilevlm: A Vision-language Model For Better Intra- And Inter-ui Understanding (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 12 citations
  Wu et al.
• Followir: Evaluating And Teaching Information Retrieval Models To Follow Instructions (2024) • No Venue
  Weller et al.
• Number It: Temporal Grounding Videos Like Flipping Manga (2024) • No Venue
  Wu et al.
• Diasynth -- Synthetic Dialogue Generation Framework (2024) • No Venue
  Suresh et al.
• Automating Research Synthesis With Domain-specific Large Language Model Fine-tuning (2024) • ACM Transactions on Knowledge Discovery from Data • 32 citations
  Susnjak et al.
• Reft: Representation Finetuning For Language Models (2024) • No Venue
  Wu et al.
• Self-play Preference Optimization For Language Model Alignment (2024) • No Venue
  Wu et al.
• Multimodal Misinformation Detection Using Large Vision-language Models (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 14 citations
  Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth
• Democratizing Large Language Models Via Personalized Parameter-efficient Fine-tuning (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Tan et al.
• Megafusion: Extend Diffusion Models Towards Higher-resolution Image Generation Without Further Tuning (2024) • No Venue
  Wu et al.
• Simple, Efficient And Scalable Structure-aware Adapter Boosts Protein Language Models (2024) • Journal of Chemical Information and Modeling • 16 citations
  Tan et al.
• Mimir: Improving Video Diffusion Models For Precise Text Understanding (2024) • No Venue
  Tan et al.
• Lloco: Learning Long Contexts Offline (2024) • No Venue
  Tan et al.
• A Unified View Of Delta Parameter Editing In Post-trained Large-scale Models (2024) • No Venue
  Tang et al.
• Inversecoder: Unleashing The Power Of Instruction-tuned Code Llms With Inverse-instruct (2024) • No Venue
  Wu et al.
• Minigpt-3d: Efficiently Aligning 3D Point Clouds With Large Language Models Using 2D Priors (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 14 citations
  Tang et al.
• Higpt: Heterogeneous Graph Language Model (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 30 citations
  Tang et al.
• Mathscale: Scaling Instruction Tuning For Mathematical Reasoning (2024) • No Venue
  Tang et al.
• Fedbiot: LLM Local Fine-tuning In Federated Learning Without Full Model (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 37 citations
  Wu et al.
• Alchemy: Amplifying Theorem-proving Capability Through Symbolic Mutation (2024) • No Venue
  Wu et al.
• Systematic Biases In LLM Simulations Of Debates (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Taubenfeld et al.
• Octo: An Open-source Generalist Robot Policy (2024) • No Venue
  Team et al.
• Gradsafe: Detecting Jailbreak Prompts For Llms Via Safety-critical Gradient Analysis (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Xie et al.
• Dataset Size Recovery From Lora Weights (2024) • No Venue
  Salama et al.
• Rainbow Teaming: Open-ended Generation Of Diverse Adversarial Prompts (2024) • No Venue
  Samvelyan et al.
• Watermarking Makes Language Models Radioactive (2024) • No Venue
  Sander et al.
• Blended RAG: Improving RAG (retriever-augmented Generation) Accuracy With Semantic Search And Hybrid Query-based Retrievers (2024) • 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR) • 65 citations
  Kunal Sawarkar, Abhilasha Mangal, Shivam Raj Solanki
• Caduceus: Bi-directional Equivariant Long-range DNA Sequence Modeling (2024) • No Venue
  Schiff et al.
• Mpirigen: MPI Code Generation Through Domain-specific Language Models (2024) • No Venue
  Schneider et al.
• Prithvi Wxc: Foundation Model For Weather And Climate (2024) • No Venue
  Schmude et al.
• Mindeye2: Shared-subject Models Enable Fmri-to-image With 1 Hour Of Data (2024) • No Venue
  Scotti et al.
• Autore: Document-level Relation Extraction With Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 25 citations
  Xue et al.
• Evaluation Of LLM Chatbots For Osint-based Cyber Threat Awareness (2024) • Expert Systems with Applications • 25 citations
  Samaneh Shafee, Alysson Bessani, Pedro M. Ferreira
• Advancing Depression Detection On Social Media Platforms Through Fine-tuned Large Language Models (2024) • Online Social Networks and Media • 15 citations
  Shah et al.
• Multilingual Instruction Tuning With Just A Pinch Of Multilinguality (2024) • No Venue
  Shaham et al.
• Show, Don't Tell: Aligning Language Models With Demonstrated Feedback (2024) • No Venue
  Shaikh et al.
• Atlas-chat: Adapting Large Language Models For Low-resource Moroccan Arabic Dialect (2024) • No Venue
  Shang et al.
• Wirelessllm: Empowering Large Language Models Towards Wireless Intelligence (2024) • Journal of Communications and Information Networks • 55 citations
  Shao et al.
• Baichuan2-sum: Instruction Finetune Baichuan2-7b Model For Dialogue Summarization (2024) • 2024 International Joint Conference on Neural Networks (IJCNN) • 10 citations
  Xiao et al.
• Nemo-aligner: Scalable Toolkit For Efficient Model Alignment (2024) • No Venue
  Shen et al.
• Tag-llm: Repurposing General-purpose Llms For Specialized Domains (2024) • No Venue
  Shen et al.
• The Language Barrier: Dissecting Safety Challenges Of Llms In Multilingual Contexts (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Shen et al.
• Pandora: Towards General World Model With Natural Language Actions And Video States (2024) • No Venue
  Xiang et al.
• Finetuning Large Language Models For Vulnerability Detection (2024) • IEEE Access • 49 citations
  Shestov et al.
• A Survey On Employing Large Language Models For Text-to-sql Tasks (2024) • ACM Computing Surveys • 21 citations
  Shi et al.
• Continual Learning Of Large Language Models: A Comprehensive Survey (2024) • ACM Computing Surveys • 23 citations
  Shi et al.
• Math-llava: Bootstrapping Mathematical Reasoning For Multimodal Large Language Models (2024) • No Venue
  Shi et al.
• Large Language Models For Cyber Security: A Systematic Literature Review (2024) • ACM Transactions on Software Engineering and Methodology • 28 citations
  Xu et al.
• Hivg: Hierarchical Multimodal Fine-grained Modulation For Visual Grounding (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 17 citations
  Xiao et al.
• Magpie: Alignment Data Synthesis From Scratch By Prompting Aligned Llms With Nothing (2024) • No Venue
  Xu et al.
• Course-correction: Safety Alignment Using Synthetic Preferences (2024) • No Venue
  Xu et al.
• Rethinking Data Selection At Scale: Random Selection Is Almost All You Need (2024) • No Venue
  Xia et al.
• Mmed-rag: Versatile Multimodal RAG System For Medical Vision Language Models (2024) • No Venue
  Xia et al.
• Understanding The Performance And Estimating The Cost Of LLM Fine-tuning (2024) • 2024 IEEE International Symposium on Workload Characterization (IISWC) • 35 citations
  Xia et al.
• Extranerf: Visibility-aware View Extrapolation Of Neural Radiance Fields With Diffusion Models (2024) • No Venue
  Shih et al.
• Adapting Llms To Hebrew: Unveiling Dictalm 2.0 With Enhanced Vocabulary And Instruction Capabilities (2024) • No Venue
  Shmidman et al.
• No More Adam: Learning Rate Scaling At Initialization Is All You Need (2024) • No Venue
  Xu et al.
• Realmdreamer: Text-driven 3D Scene Generation With Inpainting And Depth Diffusion (2024) • No Venue
  Shriram et al.
• Ferret: Federated Full-parameter Tuning At Scale For Large Language Models (2024) • No Venue
  Shu et al.
• Design2code: How Far Are We From Automating Front-end Engineering? (2024) • No Venue
  Si et al.
• PERL: Parameter Efficient Reinforcement Learning From Human Feedback (2024) • No Venue
  Sidahmed et al.
• H2o-danube-1.8b Technical Report (2024) • No Venue
  Singer et al.
• A Dataset And Benchmark For Hospital Course Summarization With Adapted Large Language Models (2024) • Journal of the American Medical Informatics Association • 17 citations
  Aali et al.
• Edify Image: High-quality Image Generation With Pixel Space Laplacian Diffusion Models (2024) • No Venue
  Nvidia et al.
• Qwen2.5 Technical Report (2024) • No Venue
  Qwen et al.
• Saullm-54b & Saullm-141b: Scaling Up Domain Adaptation For The Legal Domain (2024) • No Venue
  Colombo et al.
• LTGC: Long-tail Recognition Via Leveraging Llms-driven Generated Content (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Zhao et al.
• Alignment Studio: Aligning Large Language Models To Particular Contextual Regulations (2024) • No Venue
  Achintalwar et al.
• DELIFT: Data Efficient Language Model Instruction Fine Tuning (2024) • No Venue
  Agarwal et al.
• Mtlora: A Low-rank Adaptation Approach For Efficient Multi-task Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 24 citations
  Ahmed Agiza, Marina Neseem, Sherief Reda
• LM4OPT: Unveiling The Potential Of Large Language Models In Formulating Mathematical Optimization Problems (2024) • INFOR: Information Systems and Operational Research • 11 citations
  Tasnim Ahmed, Salimur Choudhury
• Yi-lightning Technical Report (2024) • No Venue
  Ai et al.
• Dreamclear: High-capacity Real-world Image Restoration With Privacy-safe Dataset Curation (2024) • No Venue
  Ai et al.
• The Foundational Capabilities Of Large Language Models In Predicting Postoperative Risks Using Clinical Notes (2024) • npj Digital Medicine • 18 citations
  Alba et al.
• Dallah: A Dialect-aware Multimodal Large Language Model For Arabic (2024) • No Venue
  Fakhraddin Alwajih, Gagan Bhatia, Muhammad Abdul-Mageed
• Response Tuning: Aligning Large Language Models Without Instruction (2024) • No Venue
  Seokhyun An, Hyounghun Kim
• Seed-tts: A Family Of High-quality Versatile Speech Generation Models (2024) • No Venue
  Anastassiou et al.
• Refereverything: Towards Segmenting Everything We Can Speak Of In Videos (2024) • No Venue
  Bagchi et al.
• VD3D: Taming Large Video Diffusion Transformers For 3D Camera Control (2024) • No Venue
  Bahmani et al.
• From Generalist To Specialist: Adapting Vision Language Models Via Task-specific Visual Instruction Tuning (2024) • No Venue
  Bai et al.
• Digirl: Training In-the-wild Device-control Agents With Autonomous Reinforcement Learning (2024) • No Venue
  Bai et al.
• Longwriter: Unleashing 10,000+ Word Generation From Long Context Llms (2024) • No Venue
  Bai et al.
• Longalign: A Recipe For Long Context Alignment Of Large Language Models (2024) • No Venue
  Bai et al.
• Aligngpt: Multi-modal Large Language Models With Adaptive Alignment Capability (2024) • No Venue
  Zhao et al.
• Distilling Vision-language Models On Millions Of Videos (2024) • No Venue
  Zhao et al.
• Fully Open Source Moxin-7b Technical Report (2024) • No Venue
  Zhao et al.
• An Adaptive End-to-end Iot Security Framework Using Explainable AI And Llms (2024) • 2024 IEEE 10th World Forum on Internet of Things (WF-IoT) • 15 citations
  Sudipto Baral, Sajal Saha, Anwar Haque
• Domain-specific Retrieval-augmented Generation Using Vector Stores, Knowledge Graphs, And Tensor Factorization (2024) • 2024 International Conference on Machine Learning and Applications (ICMLA) • 11 citations
  Barron et al.
• Lora Land: 310 Fine-tuned Llms That Rival GPT-4, A Technical Report (2024) • No Venue
  Zhao et al.
• Marco-o1: Towards Open Reasoning Models For Open-ended Solutions (2024) • No Venue
  Zhao et al.
• SWIFT:A Scalable Lightweight Infrastructure For Fine-tuning (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Zhao et al.
• Wildchat: 1M Chatgpt Interaction Logs In The Wild (2024) • No Venue
  Zhao et al.
• Reshaping Free-text Radiology Notes Into Structured Reports With Generative Transformers (2024) • Artificial Intelligence in Medicine • 12 citations
  Bergomi et al.
• Fintral: A Family Of GPT-4 Level Multimodal Financial Large Language Models (2024) • No Venue
  Bhatia et al.
• Universal Vulnerabilities In Large Language Models: Backdoor Attacks For In-context Learning (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Zhao et al.
• Cofinal: Enhancing Action Quality Assessment With Coarse-to-fine Instruction Alignment (2024) • Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24} • 12 citations
  Zhou et al.
• Beyond Text: Frozen Large Language Models In Visual Signal Comprehension (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Lei Zhu, Fangyun Wei, Yanye Lu
• Speculative Streaming: Fast LLM Inference Without Auxiliary Models (2024) • No Venue
  Bhendawade et al.
• Lora Learns Less And Forgets Less (2024) • No Venue
  Biderman et al.
• Perception Tokens Enhance Visual Reasoning In Multimodal Language Models (2024) • No Venue
  Bigverdi et al.
• Centaur: A Foundation Model Of Human Cognition (2024) • Arxiv • 10 citations
  Binz et al.
• Unsupervised Domain Adaption Harnessing Vision-language Pre-training (2024) • IEEE Transactions on Circuits and Systems for Video Technology • 15 citations
  Wenlve Zhou, Zhiheng Zhou
• Best Practices For Large Language Models In Radiology (2024) • Radiology • 10 citations
  Bluethgen et al.
• Megapairs: Massive Data Synthesis For Universal Multimodal Retrieval (2024) • No Venue
  Zhou et al.
• Embedding Large Language Models Into Extended Reality: Opportunities And Challenges For Inclusion, Engagement, And Privacy (2024) • CUI '24: ACM Conversational User Interfaces 2024 • 37 citations
  Bozkir et al.
• X-lora: Mixture Of Low-rank Adapter Experts, A Flexible Framework For Large Language Models With Applications In Protein Mechanics And Molecular Design (2024) • APL Machine Learning • 32 citations
  Eric L. Buehler, Markus J. Buehler
• Diffusion Self-distillation For Zero-shot Customized Image Generation (2024) • No Venue
  Cai et al.
• Medusa: Simple LLM Inference Acceleration Framework With Multiple Decoding Heads (2024) • No Venue
  Cai et al.
• Internlm2 Technical Report (2024) • No Venue
  Cai et al.
• Benchx: A Unified Benchmark Framework For Medical Vision-language Pretraining On Chest X-rays (2024) • No Venue
  Zhou et al.
• Galore: Memory-efficient LLM Training By Gradient Low-rank Projection (2024) • No Venue
  Zhao et al.
• Seallms 3: Open Foundation And Chat Multilingual Large Language Models For Southeast Asian Languages (2024) • No Venue
  Zhang et al.
• Suppressing Pink Elephants With Direct Principle Feedback (2024) • No Venue
  Castricato et al.
• Data Is All You Need: Finetuning Llms For Chip Design Via An Automated Design-data Augmentation Framework (2024) • DAC '24: 61st ACM/IEEE Design Automation Conference • 45 citations
  Chang et al.
• When Scaling Meets LLM Finetuning: The Effect Of Data, Model And Finetuning Method (2024) • No Venue
  Zhang et al.
• Getting It Right: Improving Spatial Consistency In Text-to-image Models (2024) • No Venue
  Chatterjee et al.
• Tx-llm: A Large Language Model For Therapeutics (2024) • No Venue
  Chaves et al.
• Still-moving: Customized Video Generation Without Customized Video Data (2024) • No Venue
  Chefer et al.
• Compcap: Improving Multimodal Large Language Models With Composite Captions (2024) • No Venue
  Chen et al.
• Panda-70m: Captioning 70M Videos With Multiple Cross-modality Teachers (2024) • No Venue
  Chen et al.
• Florence-vl: Enhancing Vision-language Models With Generative Vision Encoder And Depth-breadth Fusion (2024) • No Venue
  Chen et al.
• Huatuogpt-o1, Towards Medical Complex Reasoning With Llms (2024) • No Venue
  Chen et al.
• Grounded 3D-LLM With Referent Tokens (2024) • No Venue
  Chen et al.
• Id-aligner: Enhancing Identity-preserving Text-to-image Generation With Reward Feedback Learning (2024) • No Venue
  Chen et al.
• Language Models Are Hidden Reasoners: Unlocking Latent Reasoning Capabilities Via Self-rewarding (2024) • No Venue
  Chen et al.
• Octo-planner: On-device Language Model For Planner-action Agents (2024) • No Venue
  Chen et al.
• Moto: Latent Motion Token As The Bridging Language For Robot Manipulation (2024) • No Venue
  Chen et al.
• Mj-bench: Is Your Multimodal Reward Model Really A Good Judge For Text-to-image Generation? (2024) • No Venue
  Chen et al.
• Reverse Thinking Makes Llms Stronger Reasoners (2024) • No Venue
  Chen et al.
• Self-play Fine-tuning Converts Weak Language Models To Strong Language Models (2024) • No Venue
  Chen et al.
• SAR3D: Autoregressive 3D Object Generation And Understanding Via Multi-scale 3D VQVAE (2024) • No Venue
  Chen et al.
• Videocrafter2: Overcoming Data Limitations For High-quality Video Diffusion Models (2024) • No Venue
  Chen et al.
• Safe Unlearning: A Surprisingly Effective And Generalizable Solution To Defend Against Jailbreak Attacks (2024) • No Venue
  Zhang et al.
• Soaring From 4K To 400K: Extending Llm's Context With Activation Beacon (2024) • No Venue
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• Visionts: Visual Masked Autoencoders Are Free-lunch Zero-shot Time Series Forecasters (2024) • No Venue
  Chen et al.
• Xtrimopglm: Unified 100b-scale Pre-trained Transformer For Deciphering The Language Of Protein (2024) • Arxiv • 60 citations
  Chen et al.
• VCR: Visual Caption Restoration (2024) • No Venue
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• SF-V: Single Forward Video Generation Model (2024) • No Venue
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• Self-exploring Language Models: Active Preference Elicitation For Online Alignment (2024) • No Venue
  Zhang et al.
• Pushing The Limit Of LLM Capacity For Text Classification (2024) • WWW '25: The ACM Web Conference 2025 • 24 citations
  Zhang et al.
• O1-coder: An O1 Replication For Coding (2024) • No Venue
  Zhang et al.
• Q-galore: Quantized Galore With INT4 Projection And Layer-adaptive Low-rank Gradients (2024) • No Venue
  Zhang et al.
• RAFT: Adapting Language Model To Domain Specific RAG (2024) • No Venue
  Zhang et al.
• Only-if:revealing The Decisive Effect Of Instruction Diversity On Generalization (2024) • No Venue
  Dylan Zhang, Justin Wang, Francois Charton
• Pixel-space Post-training Of Latent Diffusion Models (2024) • No Venue
  Zhang et al.
• MM1.5: Methods, Analysis & Insights From Multimodal LLM Fine-tuning (2024) • No Venue
  Zhang et al.
• Multimodal Self-instruct: Synthetic Abstract Image And Visual Reasoning Instruction Using Language Model (2024) • No Venue
  Zhang et al.
• Notellm: A Retrievable Large Language Model For Note Recommendation (2024) • WWW '24: The ACM Web Conference 2024 • 13 citations
  Zhang et al.
• Knowledge Composition Using Task Vectors With Learned Anisotropic Scaling (2024) • No Venue
  Zhang et al.
• Milora: Efficient Mixture Of Low-rank Adaptation For Large Language Models Fine-tuning (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 25 citations
  Zhang et al.
• Longreward: Improving Long-context Large Language Models With AI Feedback (2024) • No Venue
  Zhang et al.
• Mg-verilog: Multi-grained Dataset Towards Enhanced Llm-assisted Verilog Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 38 citations
  Zhang et al.
• Linkner: Linking Local Named Entity Recognition Models To Large Language Models Using Uncertainty (2024) • WWW '24: The ACM Web Conference 2024 • 22 citations
  Zhang et al.
• Longcite: Enabling Llms To Generate Fine-grained Citations In Long-context QA (2024) • No Venue
  Zhang et al.
• IOPO: Empowering Llms With Complex Instruction Following Via Input-output Preference Optimization (2024) • No Venue
  Zhang et al.
• Learn Beyond The Answer: Training Language Models With Reflection For Mathematical Reasoning (2024) • No Venue
  Zhang et al.
• Internlm-xcomposer2.5-omnilive: A Comprehensive Multimodal System For Long-term Streaming Video And Audio Interactions (2024) • No Venue
  Zhang et al.
• Infinitymath: A Scalable Instruction Tuning Dataset In Programmatic Mathematical Reasoning (2024) • No Venue
  Zhang et al.
• GROUNDHOG: Grounding Large Language Models To Holistic Segmentation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 24 citations
  Zhang et al.
• Gated Slot Attention For Efficient Linear-time Sequence Modeling (2024) • No Venue
  Zhang et al.
• Extending Llama-3's Context Ten-fold Overnight (2024) • No Venue
  Zhang et al.
• Ferret-v2: An Improved Baseline For Referring And Grounding With Large Language Models (2024) • No Venue
  Zhang et al.
• Automathtext: Autonomous Data Selection With Language Models For Mathematical Texts (2024) • No Venue
  Zhang et al.
• On Domain-specific Post-training For Multimodal Large Language Models (2024) • No Venue
  Cheng et al.
• Searching Priors Makes Text-to-video Synthesis Better (2024) • No Venue
  Cheng et al.
• Degradation-guided One-step Image Super-resolution With Diffusion Priors (2024) • No Venue
  Zhang et al.
• Closing The Gap Between Open-source And Commercial Large Language Models For Medical Evidence Summarization (2024) • npj Digital Medicine • 48 citations
  Zhang et al.
• Concept-guided Prompt Learning For Generalization In Vision-language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Zhang et al.
• Adam-mini: Use Fewer Learning Rates To Gain More (2024) • No Venue
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• ANOLE: An Open, Autoregressive, Native Large Multimodal Models For Interleaved Image-text Generation (2024) • No Venue
  Chern et al.
• Attention Calibration For Disentangled Text-to-image Personalization (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Zhang et al.
• Affordance-based Robot Manipulation With Flow Matching (2024) • No Venue
  Fan Zhang, Michael Gienger
• Visionarena: 230K Real World User-vlm Conversations With Preference Labels (2024) • No Venue
  Chou et al.
• Harnessing Large Language Models Over Transformer Models For Detecting Bengali Depressive Social Media Text: A Comprehensive Study (2024) • Natural Language Processing Journal • 22 citations
  Chowdhury et al.
• Beyond Fine-tuning: Unleashing The Potential Of Continuous Pretraining For Clinical Llms (2024) • No Venue
  Christophe et al.
• Fairness In Large Language Models: A Taxonomic Survey (2024) • ACM SIGKDD Explorations Newsletter • 43 citations
  Zhibo Chu, Zichong Wang, Wenbin Zhang
• Diversity-rewarded CFG Distillation (2024) • No Venue
  Cideron et al.
• Musicrl: Aligning Music Generation To Human Preferences (2024) • No Venue
  Cideron et al.
• Jacolbertv2.5: Optimising Multi-vector Retrievers To Create State-of-the-art Japanese Retrievers With Constrained Resources (2024) • No Venue
  Benjamin Clavié
• Towards A Personal Health Large Language Model (2024) • No Venue
  Cosentino et al.
• NVLM: Open Frontier-class Multimodal Llms (2024) • No Venue
  Dai et al.
• RLHF Workflow: From Reward Modeling To Online RLHF (2024) • No Venue
  Dong et al.
• Ichigo: Mixed-modal Early-fusion Realtime Voice Assistant (2024) • No Venue
  Alan Dao, Dinh Bach Vu, Huy Hoang Ha
• Swiftbrush V2: Make Your One-step Diffusion Model Better Than Its Teacher (2024) • No Venue
  Dao et al.
• AI Companions Reduce Loneliness (2024) • Journal of Consumer Research • 28 citations
  Freitas et al.
• Molmo And Pixmo: Open Weights And Open Data For State-of-the-art Multimodal Models (2024) • No Venue
  Deitke et al.
• PRDP: Proximal Reward Difference Prediction For Large-scale Reward Finetuning Of Diffusion Models (2024) • No Venue
  Deng et al.
• Flow-dpo: Improving LLM Mathematical Reasoning Through Online Multi-agent Learning (2024) • No Venue
  Yihe Deng, Paul Mineiro
• Can Llms Generate Architectural Design Decisions? -an Exploratory Empirical Study (2024) • 2024 IEEE 21st International Conference on Software Architecture (ICSA) • 28 citations
  Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma
• Boosting Large Language Models With Continual Learning For Aspect-based Sentiment Analysis (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 11 citations
  Ding et al.
• Unleashing Reasoning Capability Of Llms Via Scalable Question Synthesis From Scratch (2024) • No Venue
  Ding et al.
• Multimodal Whole Slide Foundation Model For Pathology (2024) • Arxiv • 23 citations
  Ding et al.
• Longrope: Extending LLM Context Window Beyond 2 Million Tokens (2024) • No Venue
  Ding et al.
• Openbezoar: Small, Cost-effective And Open Models Trained On Mixes Of Instruction Data (2024) • No Venue
  Dissanayake et al.
• Vintern-1b: An Efficient Multimodal Large Language Model For Vietnamese (2024) • No Venue
  Doan et al.
• Thermodynamic Natural Gradient Descent (2024) • No Venue
  Donatella et al.
• Baichuanseed: Sharing The Potential Of Extensive Data Collection And Deduplication By Introducing A Competitive Large Language Model Baseline (2024) • No Venue
  Dong et al.
• Understand What LLM Needs: Dual Preference Alignment For Retrieval-augmented Generation (2024) • WWW '25: The ACM Web Conference 2025 • 16 citations
  Dong et al.
• Chinese Tiny LLM: Pretraining A Chinese-centric Large Language Model (2024) • No Venue
  Du et al.
• CLEAR: Character Unlearning In Textual And Visual Modalities (2024) • No Venue
  Dontsov et al.
• Llamafactory: Unified Efficient Fine-tuning Of 100+ Language Models (2024) • No Venue
  Zheng et al.
• Unlocking Continual Learning Abilities In Language Models (2024) • No Venue
  Du et al.
• Domain-agnostic Mutual Prompting For Unsupervised Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Du et al.
• Generalization-enhanced Code Vulnerability Detection Via Multi-task Instruction Fine-tuning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 14 citations
  Du et al.
• Privacy In Fine-tuning Large Language Models: Attacks, Defenses, And Future Directions (2024) • Lecture Notes in Computer Science • 10 citations
  Du et al.
• Cityllava: Efficient Fine-tuning For Vlms In City Scenario (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 16 citations
  Duan et al.
• Aya Model: An Instruction Finetuned Open-access Multilingual Language Model (2024) • No Venue
  Üstün et al.
• Reformatted Alignment (2024) • No Venue
  Fan et al.
• Layerskip: Enabling Early Exit Inference And Self-speculative Decoding (2024) • No Venue
  Elhoushi et al.
• LLM4PLC: Harnessing Large Language Models For Verifiable Programming Of Plcs In Industrial Control Systems (2024) • ICSE-SEIP '24: 46th International Conference on Software Engineering: Software Engineering in Practice • 35 citations
  Fakih et al.
• Mmfactory: A Universal Solution Search Engine For Vision-language Tasks (2024) • No Venue
  Wan-Cyuan Fan, Tanzila Rahman, Leonid Sigal
• Scaling Sequential Recommendation Models With Transformers (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 15 citations
  Pablo Zivic, Hernan Vazquez, Jorge Sanchez
• Easyref: Omni-generalized Group Image Reference For Diffusion Models Via Multimodal LLM (2024) • No Venue
  Zong et al.
• VILA^2: VILA Augmented VILA (2024) • No Venue
  Fang et al.
• Tinyfusion: Diffusion Transformers Learned Shallow (2024) • No Venue
  Fang et al.
• VIMI: Grounding Video Generation Through Multi-modal Instruction (2024) • No Venue
  Fang et al.
• Croissantllm: A Truly Bilingual French-english Language Model (2024) • No Venue
  Faysse et al.
• Enhancing Video-language Representations With Structural Spatio-temporal Alignment (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 30 citations
  Fei et al.
• Exploring Automated Distractor Generation For Math Multiple-choice Questions Via Large Language Models (2024) • Findings of the Association for Computational Linguistics: NAACL 2024 • 16 citations
  Feng et al.
• Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps Via Multi-llm Collaboration (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Feng et al.
• Do I Know This Entity? Knowledge Awareness And Hallucinations In Language Models (2024) • No Venue
  Ferrando et al.
• Generative AI In Cybersecurity: A Comprehensive Review Of LLM Applications And Vulnerabilities (2024) • Internet of Things and Cyber-Physical Systems • 36 citations
  Ferrag et al.
• Style Over Substance: Failure Modes Of LLM Judges In Alignment Benchmarking (2024) • No Venue
  Feuer et al.
• RAG Foundry: A Framework For Enhancing Llms For Retrieval Augmented Generation (2024) • No Venue
  Fleischer et al.
• Styleremix: Interpretable Authorship Obfuscation Via Distillation And Perturbation Of Style Elements (2024) • No Venue
  Fisher et al.
• Segment Any Text: A Universal Approach For Robust, Efficient And Adaptable Sentence Segmentation (2024) • No Venue
  Frohmann et al.
• IISAN: Efficiently Adapting Multimodal Representation For Sequential Recommendation With Decoupled PEFT (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 25 citations
  Fu et al.
• Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight In The Real World For Meeting Summarization? (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track) • 13 citations
  Fu et al.
• Video-star: Self-training Enables Video Instruction Tuning With Any Supervision (2024) • No Venue
  Zohar et al.
• Large Scale Transfer Learning For Tabular Data Via Language Modeling (2024) • No Venue
  Josh Gardner, Juan C. Perdomo, Ludwig Schmidt
• Aligning Diffusion Models With Noise-conditioned Perception (2024) • No Venue
  Gambashidze et al.
• Application Of LLM Agents In Recruitment: A Novel Framework For Resume Screening (2024) • Journal of Information Processing • 15 citations
  Chengguang Gan, Qinghao Zhang, Tatsunori Mori
• Better Synthetic Data By Retrieving And Transforming Existing Datasets (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Gandhi et al.
• Autovcoder: A Systematic Framework For Automated Verilog Code Generation Using Llms (2024) • 2024 IEEE 42nd International Conference on Computer Design (ICCD) • 18 citations
  Gao et al.
• Efficient Tool Use With Chain-of-abstraction Reasoning (2024) • No Venue
  Gao et al.
• Llm-based NLG Evaluation: Current Status And Challenges (2024) • Computational Linguistics • 39 citations
  Gao et al.
• Seerattention: Learning Intrinsic Sparse Attention In Your Llms (2024) • No Venue
  Gao et al.
• Divot: Diffusion Powers Video Tokenizer For Comprehension And Generation (2024) • No Venue
  Ge et al.
• Worldgpt: Empowering LLM As Multimodal World Model (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 23 citations
  Ge et al.
• Does Fine-tuning Llms On New Knowledge Encourage Hallucinations? (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 45 citations
  Gekhman et al.
• Enhancing Knowledge Retrieval With In-context Learning And Semantic Search Through Generative AI (2024) • Knowledge-Based Systems • 19 citations
  Ghali et al.
• Alpapico: Extraction Of PICO Frames From Clinical Trial Documents Using Llms (2024) • Methods • 17 citations
  Ghosh et al.
• GAMA: A Large Audio-language Model With Advanced Audio Understanding And Complex Reasoning Abilities (2024) • No Venue
  Ghosh et al.
• Is Preference Alignment Always The Best Option To Enhance Llm-based Translation? An Empirical Analysis (2024) • No Venue
  Gisserot-Boukhlef et al.
• Chatglm: A Family Of Large Language Models From GLM-130B To GLM-4 All Tools (2024) • No Venue
  Glm et al.
• Arcee's Mergekit: A Toolkit For Merging Large Language Models (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track • 19 citations
  Goddard et al.
• Knesset-dictabert: A Hebrew Language Model For Parliamentary Proceedings (2024) • No Venue
  Gili Goldin, Shuly Wintner
• AS-70: A Mandarin Stuttered Speech Dataset For Automatic Speech Recognition And Stuttering Event Detection (2024) • Interspeech 2024 • 12 citations
  Gong et al.
• Eyes Closed, Safety On: Protecting Multimodal Llms Via Image-to-text Transformation (2024) • Lecture Notes in Computer Science • 10 citations
  Gou et al.
• The Sociolinguistic Foundations Of Language Modeling (2024) • Frontiers in Artificial Intelligence • 18 citations
  Grieve et al.
• RAMIE: Retrieval-augmented Multi-task Information Extraction With Large Language Models On Dietary Supplements (2024) • Journal of the American Medical Informatics Association • 10 citations
  Zhan et al.
• The Unreasonable Ineffectiveness Of The Deeper Layers (2024) • No Venue
  Gromov et al.
• Rakutenai-7b: Extending Large Language Models For Japanese (2024) • No Venue
  Group et al.
• Miniplm: Knowledge Distillation For Pre-training Language Models (2024) • No Venue
  Gu et al.
• Lapa: Latent Prompt Assist Model For Medical Visual Question Answering (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 12 citations
  Gu et al.
• Cruxeval: A Benchmark For Code Reasoning, Understanding And Execution (2024) • No Venue
  Gu et al.
• Skywork-math: Data Scaling Laws For Mathematical Reasoning In Large Language Models -- The Story Goes On (2024) • No Venue
  Zeng et al.
• Selective Aggregation For Low-rank Adaptation In Federated Learning (2024) • No Venue
  Guo et al.
• Vision Superalignment: Weak-to-strong Generalization For Vision Foundation Models (2024) • No Venue
  Guo et al.
• Harnessing Large Language Models For Text-rich Sequential Recommendation (2024) • WWW '24: The ACM Web Conference 2024 • 48 citations
  Zheng et al.
• ICE-GRT: Instruction Context Enhancement By Generative Reinforcement Based Transformers (2024) • No Venue
  Zheng et al.
• Ezaudio: Enhancing Text-to-audio Generation With Efficient Diffusion Transformer (2024) • No Venue
  Hai et al.
• Personalized Residuals For Concept-driven Text-to-image Generation (2024) • No Venue
  Ham et al.
• Emergence Of Abstractions: Concept Encoding And Decoding Mechanism For In-context Learning In Transformers (2024) • No Venue
  Han et al.
• Dilightnet: Fine-grained Lighting Control For Diffusion-based Image Generation (2024) • No Venue
  Zeng et al.
• Magritte: Manipulative And Generative 3D Realization From Image, Topview And Text (2024) • No Venue
  Takayuki Hara, Tatsuya Harada
• Teaching Large Language Models To Reason With Reinforcement Learning (2024) • No Venue
  Havrilla et al.
• Self-rewarding Language Models (2024) • No Venue
  Yuan et al.
• An Empirical Study Of Llama3 Quantization: From Llms To Mllms (2024) • Visual Intelligence • 16 citations
  Huang et al.
• Quiet-star: Language Models Can Teach Themselves To Think Before Speaking (2024) • No Venue
  Zelikman et al.
• Low-rank Few-shot Adaptation Of Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 42 citations
  Maxime Zanella, Ismail Ben Ayed
• Distilling An End-to-end Voice Assistant Without Instruction Training Data (2024) • No Venue
  Held et al.
• Towards Lifelong Learning Of Large Language Models: A Survey (2024) • ACM Computing Surveys • 27 citations
  Zheng et al.
• Model Editing With Canonical Examples (2024) • No Venue
  Hewitt et al.
• Instruction Following Without Instruction Tuning (2024) • No Venue
  Hewitt et al.
• Knowledge-to-sql: Enhancing SQL Generation With Data Expert LLM (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Hong et al.
• MLLM As Retriever: Interactively Learning Multimodal Retrieval For Embodied Agents (2024) • No Venue
  Yue et al.
• ORPO: Monolithic Preference Optimization Without Reference Model (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 54 citations
  Jiwoo Hong, Noah Lee, James Thorne
• Evaluating Large Language Models As Virtual Annotators For Time-series Physical Sensing Data (2024) • ACM Transactions on Intelligent Systems and Technology • 12 citations
  Aritra Hota, Soumyajit Chatterjee, Sandip Chakraborty
• Not All LLM Reasoners Are Created Equal (2024) • No Venue
  Hosseini et al.
• DOTS: Learning To Reason Dynamically In Llms Via Optimal Reasoning Trajectories Search (2024) • No Venue
  Yue et al.
• Fine-tuning A Local Llama-3 Large Language Model For Automated Privacy-preserving Physician Letter Generation In Radiation Oncology (2024) • Frontiers in Artificial Intelligence • 12 citations
  Hou et al.
• Geocode-gpt: A Large Language Model For Geospatial Code Generation Tasks (2024) • International Journal of Applied Earth Observation and Geoinformation • 11 citations
  Hou et al.
• Deep Learning For Medical Text Processing: BERT Model Fine-tuning And Comparative Study (2024) • 2024 3rd International Symposium on Sensor Technology and Control (ISSTC) • 12 citations
  Hu et al.
• New Desiderata For Direct Preference Optimization (2024) • No Venue
  Xiangkun Hu, Tong He, David Wipf
• Llmvssmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Hu et al.
• Gentranslate: Large Language Models Are Generative Multilingual Speech And Machine Translators (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Hu et al.
• Mplug-docowl2: High-resolution Compressing For Ocr-free Multi-page Document Understanding (2024) • No Venue
  Hu et al.
• Minicpm: Unveiling The Potential Of Small Language Models With Scalable Training Strategies (2024) • No Venue
  Hu et al.
• Sara: High-efficient Diffusion Model Fine-tuning With Progressive Sparse Low-rank Adaptation (2024) • No Venue
  Hu et al.
• Wavllm: Towards Robust And Adaptive Speech Large Language Model (2024) • No Venue
  Hu et al.
• Biomamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba (2024) • No Venue
  Yue et al.
• Deciphering Cross-modal Alignment In Large Vision-language Models With Modality Integration Rate (2024) • No Venue
  Huang et al.
• In-context Lora For Diffusion Transformers (2024) • No Venue
  Huang et al.
• How Good Are Low-bit Quantized Llama3 Models? An Empirical Study (2024) • No Venue
  Huang et al.
• Investigating Decoder-only Large Language Models For Speech-to-text Translation (2024) • No Venue
  Huang et al.
• LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation (2024) • No Venue
  Huang et al.
• O1 Replication Journey -- Part 2: Surpassing O1-preview Through Simple Distillation, Big Progress Or Bitter Lesson? (2024) • No Venue
  Huang et al.
• Mv-adapter: Multi-view Consistent Image Generation Made Easy (2024) • No Venue
  Huang et al.
• Opencoder: The Open Cookbook For Top-tier Code Large Language Models (2024) • No Venue
  Huang et al.
• Visual Hallucinations Of Multi-modal Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Huang et al.
• Advancing LLM Reasoning Generalists With Preference Trees (2024) • No Venue
  Yuan et al.
• R-judge: Benchmarking Safety Risk Awareness For LLM Agents (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 18 citations
  Yuan et al.
• Chatmusician: Understanding And Generating Music Intrinsically With LLM (2024) • No Venue
  Yuan et al.
• Sleeper Agents: Training Deceptive Llms That Persist Through Safety Training (2024) • No Venue
  Hubinger et al.
• Scaling Laws For Downstream Task Performance Of Large Language Models (2024) • No Venue
  Isik et al.
• Modulated Intervention Preference Optimization (MIPO): Keep The Easy, Refine The Difficult (2024) • No Venue
  Cheolhun Jang
• Performance Of Recent Large Language Models For A Low-resourced Language (2024) • 2024 International Conference on Asian Language Processing (IALP) • 11 citations
  Ravindu Jayakody, Gihan Dias
• Fine-tuning And Utilization Methods Of Domain-specific Llms (2024) • Journal of Intelligence and Information Systems • 32 citations
  Cheonsu Jeong
• Medical Adaptation Of Large Language And Vision-language Models: Are We Making Progress? (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Jeong et al.
• Astraios: Parameter-efficient Instruction Tuning Code Large Language Models (2024) • No Venue
  Zhuo et al.
• Artprompt: ASCII Art-based Jailbreak Attacks Against Aligned Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Jiang et al.
• Comat: Aligning Text-to-image Diffusion Model With Image-to-text Concept Matching (2024) • No Venue
  Jiang et al.
• Instruction-tuned Language Models Are Better Knowledge Learners (2024) • No Venue
  Jiang et al.
• Enhancing Question Answering For Enterprise Knowledge Bases Using Large Language Models (2024) • Lecture Notes in Computer Science • 17 citations
  Jiang et al.
• Mora: High-rank Updating For Parameter-efficient Fine-tuning (2024) • No Venue
  Jiang et al.
• Med-moe: Mixture Of Domain-specific Experts For Lightweight Medical Vision-language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 27 citations
  Jiang et al.
• RATIONALYST: Pre-training Process-supervision For Improving Reasoning (2024) • No Venue
  Jiang et al.
• Heavy Labels Out! Dataset Distillation With Label Space Lightening (2024) • No Venue
  Yu et al.
• When Can Llms Actually Correct Their Own Mistakes? A Critical Survey Of Self-correction Of Llms (2024) • Transactions of the Association for Computational Linguistics • 21 citations
  Kamoi et al.
• Using Large Language Models To Understand Telecom Standards (2024) • 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) • 14 citations
  Karapantelakis et al.
• Vineppo: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment (2024) • No Venue
  Kazemnejad et al.
• Selfcodealign: Self-alignment For Code Generation (2024) • No Venue
  Wei et al.
• Towards Fast Multilingual LLM Inference: Speculative Decoding And Specialized Drafters (2024) • No Venue
  Yi et al.
• ATHAR: A High-quality And Diverse Dataset For Classical Arabic To English Translation (2024) • No Venue
  Mohammed Khalil, Mohammed Sabry
• Indicllmsuite: A Blueprint For Creating Pre-training And Fine-tuning Datasets For Indian Languages (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Khan et al.
• Large Language Models Meet Collaborative Filtering: An Efficient All-round Llm-based Recommender System (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 77 citations
  Kim et al.
• Is GPT-4 Alone Sufficient For Automated Essay Scoring?: A Comparative Judgment Approach Based On Rater Cognition (2024) • L@S '24: Eleventh ACM Conference on Learning @ Scale • 10 citations
  Seungju Kim, Meounggun Jo
• Openvla: An Open-source Vision-language-action Model (2024) • No Venue
  Kim et al.
• Lyra: An Efficient And Speech-centric Framework For Omni-cognition (2024) • No Venue
  Zhong et al.
• Multi-lora Composition For Image Generation (2024) • No Venue
  Zhong et al.
• Transllama: Llm-based Simultaneous Translation System (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 11 citations
  Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura
• Arabiangpt: Native Arabic Gpt-based Large Language Model (2024) • Arxiv • 12 citations
  Koubaa et al.
• Can Large Language Models Explore In-context? (2024) • No Venue
  Krishnamurthy et al.
• Training Language Models To Self-correct Via Reinforcement Learning (2024) • No Venue
  Kumar et al.
• Efficiently Distilling Llms For Edge Applications (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track) • 10 citations
  Kundu et al.
• In Search Of Needles In A 10M Haystack: Recurrent Memory Finds What Llms Miss (2024) • No Venue
  Kuratov et al.
• Investigating The Performance Of Retrieval-augmented Generation And Fine-tuning For The Development Of Ai-driven Knowledge-based Systems (2024) • Machine Learning and Knowledge Extraction • 17 citations
  Lakatos et al.
• TÜLU 3: Pushing Frontiers In Open Language Model Post-training (2024) • No Venue
  Lambert et al.
• Internlm-math: Open Math Large Language Models Toward Verifiable Reasoning (2024) • No Venue
  Ying et al.
• Large Language Models As Evolution Strategies (2024) • GECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion • 28 citations
  Robert Tjarko Lange, Yingtao Tian, Yujin Tang
• Adaptmllm: Fine-tuning Multilingual Language Models On Low-resource Languages With Integrated LLM Playgrounds (2024) • Information • 25 citations
  Séamus Lankford, Haithem Afli, Andy Way
• Collavo: Crayon Large Language And Vision Model (2024) • No Venue
  Lee et al.
• Do Llms Have Political Correctness? Analyzing Ethical Biases And Jailbreak Vulnerabilities In AI Systems (2024) • No Venue
  Isack Lee, Haebin Seong
• LLM2LLM: Boosting Llms With Novel Iterative Data Enhancement (2024) • No Venue
  Lee et al.
• Phantom Of Latent For Large Language And Vision Models (2024) • No Venue
  Lee et al.
• Speech-massive: A Multilingual Speech Dataset For SLU And Beyond (2024) • No Venue
  Lee et al.
• Better Alignment With Instruction Back-and-forth Translation (2024) • No Venue
  Nguyen et al.
• Beyond A*: Better Planning With Transformers Via Search Dynamics Bootstrapping (2024) • No Venue
  Lehnert et al.
• Aligning Diffusion Models By Optimizing Human Utility (2024) • No Venue
  Li et al.
• Baichuan-omni Technical Report (2024) • No Venue
  Li et al.
• Controlnet++: Improving Conditional Controls With Efficient Consistency Feedback (2024) • No Venue
  Li et al.
• Codes: Towards Building Open-source Language Models For Text-to-sql (2024) • Proceedings of the ACM on Management of Data • 55 citations
  Li et al.
• Common 7B Language Models Already Possess Strong Math Capabilities (2024) • No Venue
  Li et al.
• Dotamath: Decomposition Of Thought With Code Assistance And Self-correction For Mathematical Reasoning (2024) • No Venue
  Li et al.
• Mix-ln: Unleashing The Power Of Deeper Layers By Combining Pre-ln And Post-ln (2024) • No Venue
  Pengxiang Li, Lu Yin, Shiwei Liu
• Red Teaming Visual Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 15 citations
  Li et al.
• Omniactions: Predicting Digital Actions In Response To Real-world Multimodal Sensory Inputs With Llms (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 19 citations
  Li et al.
• Omniflow: Any-to-any Generation With Multi-modal Rectified Flows (2024) • No Venue
  Li et al.
• Omnicorpus: A Unified Multimodal Corpus Of 10 Billion-level Images Interleaved With Text (2024) • No Venue
  Li et al.
• Relation Extraction Using Large Language Models: A Case Study On Acupuncture Point Locations (2024) • Journal of the American Medical Informatics Association • 25 citations
  Li et al.
• Scilitllm: How To Adapt Llms For Scientific Literature Understanding (2024) • No Venue
  Li et al.
• Split To Merge: Unifying Separated Modalities For Unsupervised Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Li et al.
• Superfiltering: Weak-to-strong Data Filtering For Fast Instruction-tuning (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Li et al.
• Synthetic Data (almost) From Scratch: Generalized Instruction Tuning For Language Models (2024) • No Venue
  Li et al.
• Textcraftor: Your Text Encoder Can Be Image Quality Controller (2024) • No Venue
  Li et al.
• UNIMO-G: Unified Image Generation Through Multimodal Conditional Diffusion (2024) • No Venue
  Li et al.
• Uni-moe: Scaling Unified Multimodal Llms With Mixture Of Experts (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 22 citations
  Li et al.
• Physics Of Language Models: Part 2.2, How To Learn From Mistakes On Grade-school Math Problems (2024) • No Venue
  Ye et al.
• Harnessing Multimodal Large Language Models For Multimodal Sequential Recommendation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Ye et al.
• Controllable Text Generation For Large Language Models: A Survey (2024) • No Venue
  Liang et al.
• Learning To Learn Faster From Human Feedback With Language Model Predictive Control (2024) • No Venue
  Liang et al.
• WAFFLE: Multi-modal Model For Automated Front-end Development (2024) • No Venue
  Liang et al.
• Adding Nvme Ssds To Enable And Accelerate 100B Model Fine-tuning On A Single GPU (2024) • No Venue
  Liao et al.
• Rs-moe: A Vision-language Model With Mixture Of Experts For Remote Sensing Image Captioning And Visual Question Answering (2024) • IEEE Transactions on Geoscience and Remote Sensing • 15 citations
  Lin et al.
• Rho-1: Not All Tokens Are What You Need (2024) • No Venue
  Lin et al.
• Baichuan Alignment Technical Report (2024) • No Venue
  Lin et al.
• FLAME: Factuality-aware Alignment For Large Language Models (2024) • No Venue
  Lin et al.
• Data-efficient Fine-tuning For Llm-based Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 94 citations
  Lin et al.
• Navcot: Boosting Llm-based Vision-and-language Navigation Via Learning Disentangled Reasoning (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 18 citations
  Lin et al.
• Mala-500: Massive Language Adaptation Of Large Language Models (2024) • No Venue
  Lin et al.
• Mope-clip: Structured Pruning For Efficient Vision-language Models With Module-wise Pruning Error Metric (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Lin et al.
• Tracking Meets Lora: Faster Training, Larger Model, Stronger Performance (2024) • Lecture Notes in Computer Science • 35 citations
  Lin et al.
• Acemath: Advancing Frontier Math Reasoning With Post-training And Reward Modeling (2024) • No Venue
  Liu et al.
• Chatqa: Building GPT-4 Level Conversational QA Models (2024) • No Venue
  Liu et al.
• Alora: Allocating Low-rank Adaptation For Fine-tuning Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 16 citations
  Liu et al.
• Bitdelta: Your Fine-tune May Only Be Worth One Bit (2024) • No Venue
  Liu et al.
• CLEAR: Conv-like Linearization Revs Pre-trained Diffusion Transformers Up (2024) • No Venue
  Songhua Liu, Zhenxiong Tan, Xinchao Wang
• Fictitious Synthetic Data Can Improve LLM Factuality Via Prerequisite Learning (2024) • No Venue
  Liu et al.
• Emollms: A Series Of Emotional Large Language Models And Annotation Tools For Comprehensive Affective Analysis (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 41 citations
  Liu et al.
• Improving Long-text Alignment For Text-to-image Diffusion Models (2024) • No Venue
  Liu et al.
• Llms + Persona-plug = Personalized Llms (2024) • No Venue
  Liu et al.
• Llmembed: Rethinking Lightweight Llm's Genuine Function In Text Classification (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Liu et al.
• Lumina-mgpt: Illuminate Flexible Photorealistic Text-to-image Generation With Multimodal Generative Pretraining (2024) • No Venue
  Liu et al.
• MMDU: A Multi-turn Multi-image Dialog Understanding Benchmark And Instruction-tuning Dataset For Lvlms (2024) • No Venue
  Liu et al.
• NVILA: Efficient Frontier Visual Language Models (2024) • No Venue
  Liu et al.
• POINTS: Improving Your Vision-language Model With Affordable Strategies (2024) • No Venue
  Liu et al.
• Proofread: Fixes All Errors With One Tap (2024) • No Venue
  Liu et al.
• Surgical SAM 2: Real-time Segment Anything In Surgical Video By Efficient Frame Pruning (2024) • No Venue
  Liu et al.
• Tuning Language Models By Proxy (2024) • No Venue
  Liu et al.
• Understanding Llms: A Comprehensive Overview From Training To Inference (2024) • No Venue
  Liu et al.
• Xgen-mm (BLIP-3): A Family Of Open Large Multimodal Models (2024) • No Venue
  Xue et al.
• Tinyvla: Towards Fast, Data-efficient Vision-language-action Models For Robotic Manipulation (2024) • IEEE Robotics and Automation Letters • 29 citations
  Wen et al.
• Trans-lora: Towards Data-free Transferable Parameter Efficient Finetuning (2024) • No Venue
  Wang et al.
• Longvila: Scaling Long-context Visual Language Models For Long Videos (2024) • No Venue
  Xue et al.
• 3D-GRAND: A Million-scale Dataset For 3d-llms With Better Grounding And Less Hallucination (2024) • No Venue
  Yang et al.
• KICGPT: Large Language Model With Knowledge In Context For Knowledge Graph Completion (2024) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 38 citations
  Wei et al.
• Awaker2.5-vl: Stably Scaling Mllms With Parameter-efficient Mixture Of Experts (2024) • No Venue
  Long et al.
• Sparser Is Faster And Less Is More: Efficient Sparse Attention For Long-range Transformers (2024) • No Venue
  Lou et al.
• A Controlled Study On Long Context Extension And Generalization In Llms (2024) • No Venue
  Lu et al.
• Step-controlled DPO: Leveraging Stepwise Error For Enhanced Mathematical Reasoning (2024) • No Venue
  Lu et al.
• Deepseek-vl: Towards Real-world Vision-language Understanding (2024) • No Venue
  Lu et al.
• Fine-tuning Large Language Models For Domain Adaptation: Exploration Of Training Strategies, Scaling, Model Merging And Synergistic Capabilities (2024) • npj Computational Materials • 43 citations
  Wei Lu, Rachel K. Luu, Markus J. Buehler
• Mathcoder2: Better Math Reasoning From Continued Pretraining On Model-translated Mathematical Code (2024) • No Venue
  Lu et al.
• Object-driven One-shot Fine-tuning Of Text-to-image Diffusion With Prototypical Embedding (2024) • No Venue
  Jianxiang Lu, Cong Xie, Hui Guo
• Unveiling The Generalization Power Of Fine-tuned Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 22 citations
  Yang et al.
• Factual Consistency Evaluation Of Summarization In The Era Of Large Language Models (2024) • Expert Systems with Applications • 18 citations
  Zheheng Luo, Qianqian Xie, Sophia Ananiadou
• Addition Is All You Need For Energy-efficient Language Models (2024) • No Venue
  Hongyin Luo, Wei Sun
• Robustft: Robust Supervised Fine-tuning For Large Language Models Under Noisy Response (2024) • No Venue
  Luo et al.
• Layoutllm: Layout Instruction Tuning With Large Language Models For Document Understanding (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
  Luo et al.
• Semievol: Semi-supervised Fine-tuning For LLM Adaptation (2024) • No Venue
  Luo et al.
• Reft: Reasoning With Reinforced Fine-tuning (2024) • No Venue
  Luong et al.
• WILBUR: Adaptive In-context Learning For Robust And Accurate Web Agents (2024) • No Venue
  Lutz et al.
• PLACE: Adaptive Layout-semantic Fusion For Semantic Image Synthesis (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Lv et al.
• Adapting While Learning: Grounding Llms For Scientific Problems With Intelligent Tool Usage Adaptation (2024) • No Venue
  Lyu et al.
• Foundation Models For Music: A Survey (2024) • No Venue
  Ma et al.
• Openmedlm: Prompt Engineering Can Out-perform Fine-tuning In Medical Question-answering With Open-source Large Language Models (2024) • Scientific Reports • 65 citations
  Maharjan et al.
• Securenet: A Comparative Study Of Deberta And Large Language Models For Phishing Detection (2024) • 2024 IEEE 7th International Conference on Big Data and Artificial Intelligence (BDAI) • 11 citations
  Sakshi Mahendru, Tejul Pandit
• TOFU: A Task Of Fictitious Unlearning For Llms (2024) • No Venue
  Maini et al.
• Sycophancy In Large Language Models: Causes And Mitigations (2024) • Lecture Notes in Networks and Systems • 13 citations
  Lars Malmqvist
• Open Language Data Initiative: Advancing Low-resource Machine Translation For Karakalpak (2024) • No Venue
  Mukhammadsaid Mamasaidov, Abror Shopulatov
• The Open Source Advantage In Large Language Models (llms) (2024) • No Venue
  Manchanda et al.
• A Survey On Lora Of Large Language Models (2024) • Frontiers of Computer Science • 57 citations
  Mao et al.
• Dora: Enhancing Parameter-efficient Fine-tuning With Dynamic Rank Distribution (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Mao et al.
• Magmax: Leveraging Model Merging For Seamless Continual Learning (2024) • Lecture Notes in Computer Science • 10 citations
  Marczak et al.
• Diffusekrona: A Parameter Efficient Fine-tuning Method For Personalized Diffusion Model (2024) • No Venue
  Marjit et al.
• From Complexity To Clarity: How AI Enhances Perceptions Of Scientists And The Public's Understanding Of Science (2024) • PNAS Nexus • 21 citations
  David M. Markowitz
• MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training (2024) • No Venue
  McKinzie et al.
• Openelm: An Efficient Language Model Family With Open-source Training And Inference Framework (2024) • No Venue
  Mehta et al.
• Towards Self-improvement Of Llms Via MCTS: Leveraging Stepwise Knowledge With Curriculum Preference Learning (2024) • No Venue
  Wang et al.
• Pissa: Principal Singular Values And Singular Vectors Adaptation Of Large Language Models (2024) • Advances in Neural Information Processing Systems 37 • 15 citations
  Fanxu Meng, Zhaohui Wang, Muhan Zhang
• Chartassisstant: A Universal Chart Multimodal Language Model Via Chart-to-table Pre-training And Multitask Instruction Tuning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 28 citations
  Meng et al.
• Hexagen3d: Stablediffusion Is Just One Step Away From Fast And Diverse Text-to-3d Generation (2024) • No Venue
  Mercier et al.
• Velora: Memory Efficient Training Using Rank-1 Sub-token Projections (2024) • No Venue
  Miles et al.
• Thought2text: Text Generation From EEG Signal Using Large Language Models (llms) (2024) • Findings of the Association for Computational Linguistics: NAACL 2025 • 10 citations
  Mishra et al.
• Orca-math: Unlocking The Potential Of Slms In Grade School Math (2024) • No Venue
  Mitra et al.
• Fine-tuning Gemma-7b For Enhanced Sentiment Analysis Of Financial News Headlines (2024) • 2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI) • 26 citations
  Mo et al.
• Generative Language Model For Catalyst Discovery (2024) • Journal of the American Chemical Society • 29 citations
  Dong Hyeon Mok, Seoin Back
• Grouse: A Benchmark To Evaluate Evaluators In Grounded Question Answering (2024) • No Venue
  Muller et al.
• Weaver: Foundation Models For Creative Writing (2024) • No Venue
  Wang et al.
• Dreammatcher: Appearance Matching Self-attention For Semantically-consistent Text-to-image Personalization (2024) • No Venue
  Nam et al.
• Clinical Insights: A Comprehensive Review Of Language Models In Medicine (2024) • PLOS Digital Health • 10 citations
  Nikita Neveditsin, Pawan Lingras, Vijay Mago
• A Large Language Model Approach To Educational Survey Feedback Analysis (2023) • International Journal of Artificial Intelligence in Education • 30 citations
  Parker et al.
• Exploring Vision-language Models For Imbalanced Learning (2023) • International Journal of Computer Vision • 24 citations
  Wang et al.
• Steering Llama 2 Via Contrastive Activation Addition (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Panickssery et al.
• Improving Text Embeddings With Large Language Models (2023) • No Venue
  Wang et al.
• Exploring Zero And Few-shot Techniques For Intent Classification (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track) • 17 citations
  Parikh et al.
• Hifi Tuner: High-fidelity Subject-driven Fine-tuning For Diffusion Models (2023) • No Venue
  Wang et al.
• Evaluating GPT-3 Generated Explanations For Hateful Content Moderation (2023) • Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23} • 19 citations
  Wang et al.
• Shall We Pretrain Autoregressive Language Models With Retrieval? A Comprehensive Study (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Wang et al.
• FP8-LM: Training FP8 Large Language Models (2023) • No Venue
  Peng et al.
• T-sciq: Teaching Multimodal Chain-of-thought Reasoning Via Mixed Large Language Model Signals For Science Question Answering (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 29 citations
  Wang et al.
• Distilling Large Language Models For Matching Patients To Clinical Trials (2023) • Journal of the American Medical Informatics Association • 48 citations
  Nievas et al.
• Qa-lora: Quantization-aware Low-rank Adaptation Of Large Language Models (2023) • No Venue
  Xu et al.
• Lemur: Harmonizing Natural Language And Code For Language Agents (2023) • No Venue
  Xu et al.
• Self-knowledge Guided Retrieval Augmentation For Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 46 citations
  Wang et al.
• Adapting Multilingual Speech Representation Model For A New, Underresourced Language Through Multilingual Fine-tuning And Continued Pretraining (2023) • Information Processing & Management • 19 citations
  Nowakowski et al.
• Recmind: Large Language Model Powered Agent For Recommendation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 46 citations
  Wang et al.
• Rolellm: Benchmarking, Eliciting, And Enhancing Role-playing Abilities Of Large Language Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 64 citations
  Wang et al.
• Time Is Encoded In The Weights Of Finetuned Language Models (2023) • No Venue
  Kai Nylund, Suchin Gururangan, Noah A. Smith
• Lana: A Language-capable Navigator For Instruction Following And Generation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 29 citations
  Wang et al.
• A Paradigm Shift In Machine Translation: Boosting Translation Performance Of Large Language Models (2023) • No Venue
  Xu et al.
• Drivegpt4: Interpretable End-to-end Autonomous Driving Via Large Language Model (2023) • IEEE Robotics and Automation Letters • 240 citations
  Xu et al.
• Retrieving-to-answer: Zero-shot Video Question Answering With Frozen Large Language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 17 citations
  Pan et al.
• Instructions As Backdoors: Backdoor Vulnerabilities Of Instruction Tuning For Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 27 citations
  Xu et al.
• LION: Implicit Vision Prompt Tuning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Wang et al.
• Mathcoder: Seamless Code Integration In Llms For Enhanced Mathematical Reasoning (2023) • No Venue
  Wang et al.
• Orthogonal Subspace Learning For Language Model Continual Learning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 25 citations
  Wang et al.
• Multitask Prompt Tuning Enables Parameter-efficient Transfer Learning (2023) • Arxiv • 30 citations
  Wang et al.
• Mitigating Fine-grained Hallucination By Fine-tuning Large Vision-language Models With Caption Rewrites (2023) • Lecture Notes in Computer Science • 23 citations
  Wang et al.
• Fine-tuning Or Retrieval? Comparing Knowledge Injection In Llms (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 62 citations
  Ovadia et al.
• LAVIE: High-quality Video Generation With Cascaded Latent Diffusion Models (2023) • No Venue
  Wang et al.
• Multilora: Democratizing Lora For Better Multi-task Learning (2023) • No Venue
  Wang et al.
• Mental-llm: Leveraging Large Language Models For Mental Health Prediction Via Online Text Data (2023) • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies • 143 citations
  Xu et al.
• MEVG: Multi-event Video Generation With Text-to-video Models (2023) • Lecture Notes in Computer Science • 10 citations
  Oh et al.
• Blackvip: Black-box Visual Prompting For Robust Transfer Learning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Oh et al.
• Overwriting Pretrained Bias With Finetuning Data (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Angelina Wang, Olga Russakovsky
• Query2doc: Query Expansion With Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 121 citations
  Liang Wang, Nan Yang, Furu Wei
• Can Lms Learn New Entities From Descriptions? Challenges In Propagating Injected Knowledge (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Onoe et al.
• Prompt A Robot To Walk With Large Language Models (2023) • 2024 IEEE 63rd Conference on Decision and Control (CDC) • 17 citations
  Wang et al.
• Can We Edit Factual Knowledge By In-context Learning? (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 32 citations
  Zheng et al.
• Next-gpt: Any-to-any Multimodal LLM (2023) • No Venue
  Wu et al.
• LM-CPPF: Paraphrasing-guided Data Augmentation For Contrastive Prompt-based Few-shot Fine-tuning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 15 citations
  Amirhossein Abaskohi, Sascha Rothe, Yadollah Yaghoobzadeh
• Debiased Fine-tuning For Vision-language Models By Prompt Regularization (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  Zhu et al.
• CLIPTER: Looking At The Bigger Picture In Scene Text Recognition (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 25 citations
  Aberdam et al.
• Judgelm: Fine-tuned Large Language Models Are Scalable Judges (2023) • No Venue
  Lianghui Zhu, Xinggang Wang, Xinlong Wang
• Multi-party Goal Tracking With Llms: Comparing Pre-training, Fine-tuning, And Prompt Engineering (2023) • Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue • 11 citations
  Addlesee et al.
• Masakhanews: News Topic Classification For African Languages (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Adelani et al.
• On-policy Distillation Of Language Models: Learning From Self-generated Mistakes (2023) • No Venue
  Agarwal et al.
• Llama 2: Open Foundation And Fine-tuned Chat Models (2023) • No Venue
  Touvron et al.
• Moviefactory: Automatic Movie Creation From Text Using Large Generative Models For Language And Images (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 19 citations
  Zhu et al.
• Collaborative Large Language Model For Recommender Systems (2023) • WWW '24: The ACM Web Conference 2024 • 62 citations
  Zhu et al.
• Point-peft: Parameter-efficient Fine-tuning For 3D Pre-trained Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 12 citations
  Tang et al.
• Struc-bench: Are Large Language Models Really Good At Generating Complex Structured Data? (2023) • No Venue
  Tang et al.
• Becoming Self-instruct: Introducing Early Stopping Criteria For Minimal Instruct Tuning (2023) • No Venue
  Alshikh et al.
• Source-free Domain Adaptation With Frozen Multimodal Foundation Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 24 citations
  Tang et al.
• Alleviating The Long-tail Problem In Conversational Recommender Systems (2023) • Proceedings of the 17th ACM Conference on Recommender Systems • 16 citations
  Zhao et al.
• Can Language Models Employ The Socratic Method? Experiments With Code Debugging (2023) • SIGCSE 2024: The 55th ACM Technical Symposium on Computer Science Education • 16 citations
  Al-Hossami et al.
• Graphgpt: Graph Instruction Tuning For Large Language Models (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 115 citations
  Tang et al.
• Open-source Llms For Text Annotation: A Practical Guide For Model Setting And Fine-tuning (2023) • Journal of Computational Social Science • 35 citations
  Alizadeh et al.
• Steering Large Language Models For Machine Translation With Finetuning And In-context Learning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Alves et al.
• Prediction Of Arabic Legal Rulings Using Large Language Models (2023) • Electronics • 10 citations
  Ammar et al.
• How Do In-context Examples Affect Compositional Generalization? (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  An et al.
• Learning From Mistakes Makes LLM Better Reasoner (2023) • No Venue
  An et al.
• 3d-vista: Pre-trained Transformer For 3D Vision And Text Alignment (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 86 citations
  Zhu et al.
• Explainability For Large Language Models: A Survey (2023) • ACM Transactions on Intelligent Systems and Technology • 372 citations
  Zhao et al.
• Revisiting Machine Translation For Cross-lingual Classification (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Artetxe et al.
• Model-agnostic Meta-learning For Multilingual Hate Speech Detection (2023) • IEEE Transactions on Computational Social Systems • 36 citations
  Awal et al.
• Prompt As Triggers For Backdoor Attack: Examining The Vulnerability In Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 34 citations
  Zhao et al.
• Instruction-tuning Aligns Llms To The Human Brain (2023) • No Venue
  Aw et al.
• Foundational Models Defining A New Era In Vision: A Survey And Outlook (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 124 citations
  Awais et al.
• Motiondirector: Motion Customization Of Text-to-video Diffusion Models (2023) • No Venue
  Zhao et al.
• Hyperfields: Towards Zero-shot Generation Of Nerfs From Text (2023) • No Venue
  Babu et al.
• Slic-hf: Sequence Likelihood Calibration With Human Feedback (2023) • Arxiv • 11 citations
  Zhao et al.
• Longbench: A Bilingual, Multitask Benchmark For Long Context Understanding (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 56 citations
  Bai et al.
• Prompt-based Distribution Alignment For Unsupervised Domain Adaptation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 44 citations
  Bai et al.
• Equivariant Similarity For Vision-language Foundation Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 17 citations
  Wang et al.
• REFINER: Reasoning Feedback On Intermediate Representations (2023) • Arxiv • 31 citations
  Paul et al.
• Openvivqa: Task, Dataset, And Multimodal Fusion Models For Visual Question Answering In Vietnamese (2023) • Information Fusion • 19 citations
  Nguyen et al.
• Fine-tuning Llama 2 Large Language Models For Detecting Online Sexual Predatory Chats And Abusive Texts (2023) • ESANN 2024 • 25 citations
  Thanh Thi Nguyen, Campbell Wilson, Janis Dalins
• Democratizing Llms For Low-resource Languages By Leveraging Their English Dominant Abilities With Linguistically-diverse Prompts (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Nguyen et al.
• Astrollama: Towards Specialized Foundation Models In Astronomy (2023) • No Venue
  Nguyen et al.
• Nash Learning From Human Feedback (2023) • No Venue
  Munos et al.
• LLM4VV: Developing Llm-driven Testsuite For Compiler Validation (2023) • Future Generation Computer Systems • 36 citations
  Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran
• Biot5: Enriching Cross-modal Integration In Biology With Chemical Knowledge And Natural Language Associations (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 30 citations
  Pei et al.
• Ai-assisted Code Authoring At Scale: Fine-tuning, Deploying, And Mixed Methods Evaluation (2023) • Proceedings of the ACM on Software Engineering • 14 citations
  Murali et al.
• Using Chatgpt For Entity Matching (2023) • Communications in Computer and Information Science • 26 citations
  Ralph Peeters, Christian Bizer
• SA\(^2\)VP: Spatially Aligned-and-adapted Visual Prompt (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Pei et al.
• Turkishbertweet: Fast And Reliable Large Language Model For Social Media Analysis (2023) • Expert Systems with Applications • 23 citations
  Ali Najafi, Onur Varol
• A Comprehensive Overview Of Large Language Models (2023) • ACM Transactions on Intelligent Systems and Technology • 260 citations
  Naveed et al.
• Practical PCG Through Large Language Models (2023) • 2023 IEEE Conference on Games (CoG) • 11 citations
  Muhammad U Nasir, Julian Togelius
• Quantifying Valence And Arousal In Text With Multilingual Pre-trained Transformers (2023) • Lecture Notes in Computer Science • 10 citations
  Gonçalo Azevedo Mendes, Bruno Martins
• BERT4CTR: An Efficient Framework To Combine Pre-trained Language Model With Non-textual Features For CTR Prediction (2023) • KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 16 citations
  Wang et al.
• Instruction Tuning With GPT-4 (2023) • Arxiv • 185 citations
  Peng et al.
• Alignment For Honesty (2023) • No Venue
  Yang et al.
• In-context Learning For Text Classification With Many Labels (2023) • Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP • 16 citations
  Aristides Milios, Siva Reddy, Dzmitry Bahdanau
• Yarn: Efficient Context Window Extension Of Large Language Models (2023) • No Venue
  Peng et al.
• How Does Fine-tuning Impact Out-of-distribution Detection For Vision-language Models? (2023) • International Journal of Computer Vision • 24 citations
  Yifei Ming, Yixuan Li
• GPT Can Solve Mathematical Problems Without A Calculator (2023) • No Venue
  Yang et al.
• Large Language Model Based Long-tail Query Rewriting In Taobao Search (2023) • WWW '24: The ACM Web Conference 2024 • 37 citations
  Peng et al.
• Exploring The Limits Of Chatgpt For Query Or Aspect-based Text Summarization (2023) • Arxiv • 89 citations
  Yang et al.
• Compositional Chain-of-thought Prompting For Large Multimodal Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 55 citations
  Mitra et al.
• An Emulator For Fine-tuning Large Language Models Using Small Language Models (2023) • No Venue
  Mitchell et al.
• Codet5+: Open Code Large Language Models For Code Understanding And Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 269 citations
  Wang et al.
• Exploiting Novel GPT-4 Apis (2023) • No Venue
  Pelrine et al.
• Generative Speech Recognition Error Correction With Large Language Models And Task-activating Prompting (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 34 citations
  Yang et al.
• Anymal: An Efficient And Scalable Any-modality Augmented Language Model (2023) • No Venue
  Moon et al.
• Few-shot Fine-tuning Vs. In-context Learning: A Fair Comparison And Evaluation (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 50 citations
  Mosbach et al.
• Domain Terminology Integration Into Machine Translation: Leveraging Large Language Models (2023) • Proceedings of the Eighth Conference on Machine Translation • 15 citations
  Moslem et al.
• Rerender A Video: Zero-shot Text-guided Video-to-video Translation (2023) • No Venue
  Yang et al.
• Mentallama: Interpretable Mental Health Analysis On Social Media With Large Language Models (2023) • WWW '24: The ACM Web Conference 2024 • 91 citations
  Yang et al.
• Octopack: Instruction Tuning Code Large Language Models (2023) • No Venue
  Muennighoff et al.
• Automated Code Generation For Information Technology Tasks In YAML Through Large Language Models (2023) • 2023 60th ACM/IEEE Design Automation Conference (DAC) • 17 citations
  Pujar et al.
• Polylm: An Open Source Polyglot Large Language Model (2023) • No Venue
  Wei et al.
• An Overview On Language Models: Recent Developments And Outlook (2023) • APSIPA Transactions on Signal and Information Processing • 17 citations
  Wei et al.
• Simple Synthetic Data Reduces Sycophancy In Large Language Models (2023) • No Venue
  Wei et al.
• Symbol Tuning Improves In-context Learning In Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Wei et al.
• Adapt In Contexts: Retrieval-augmented Domain Adaptation Via In-context Learning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Quanyu Long, Wenya Wang, Sinno Jialin Pan
• Dietary Assessment With Multimodal Chatgpt: A Systematic Analysis (2023) • IEEE Journal of Biomedical and Health Informatics • 34 citations
  Lo et al.
• Safe-clip: Removing NSFW Concepts From Vision-and-language Models (2023) • Lecture Notes in Computer Science • 14 citations
  Poppi et al.
• A Pretrainer's Guide To Training Data: Measuring The Effects Of Data Age, Domain Coverage, Quality, & Toxicity (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
  Longpre et al.
• The Flan Collection: Designing Data And Methods For Effective Instruction Tuning (2023) • Arxiv • 109 citations
  Longpre et al.
• Vita-clip: Video And Text Adaptive CLIP Via Multimodal Prompting (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 77 citations
  Wasim et al.
• An Empirical Study Of Scaling Instruct-tuned Large Multimodal Models (2023) • No Venue
  Lu et al.
• Llama-reviewer: Advancing Code Review Automation With Large Language Models Through Parameter-efficient Fine-tuning (2023) • 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE) • 83 citations
  Lu et al.
• Aligning Text-to-image Diffusion Models With Reward Backpropagation (2023) • No Venue
  Prabhudesai et al.
• Adapters: A Unified Library For Parameter-efficient And Modular Transfer Learning (2023) • No Venue
  Poth et al.
• An Empirical Study Of Catastrophic Forgetting In Large Language Models During Continual Fine-tuning (2023) • IEEE Transactions on Audio, Speech and Language Processing • 17 citations
  Luo et al.
• Orthogonal Adaptation For Modular Customization Of Diffusion Models (2023) • No Venue
  Po et al.
• Systematic Assessment Of Factual Knowledge In Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 11 citations
  Luo et al.
• Lcm-lora: A Universal Stable-diffusion Acceleration Module (2023) • No Venue
  Luo et al.
• SAIL: Search-augmented Instruction Learning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Luo et al.
• YAYI 2: Multilingual Open-source Large Language Models (2023) • No Venue
  Luo et al.
• Taiyi: A Bilingual Fine-tuned Large Language Model For Diverse Biomedical Tasks (2023) • Journal of the American Medical Informatics Association • 52 citations
  Luo et al.
• Wizardcoder: Empowering Code Large Language Models With Evol-instruct (2023) • No Venue
  Luo et al.
• Zero-shot Video Moment Retrieval From Frozen Vision-language Models (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 13 citations
  Luo et al.
• Jatmo: Prompt Injection Defense By Task-specific Finetuning (2023) • Lecture Notes in Computer Science • 25 citations
  Piet et al.
• Re-vilm: Retrieval-augmented Visual Language Model For Zero And Few-shot Image Captioning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 17 citations
  Yang et al.
• Uniaudio: An Audio Foundation Model Toward Universal Audio Generation (2023) • No Venue
  Yang et al.
• Zhongjing: Enhancing The Chinese Medical Capabilities Of Large Language Model Through Expert Feedback And Real-world Multi-turn Dialogue (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 78 citations
  Yang et al.
• Using Human Feedback To Fine-tune Diffusion Models Without Any Reward Model (2023) • No Venue
  Yang et al.
• TCM-GPT: Efficient Pre-training Of Large Language Models For Domain Adaptation In Traditional Chinese Medicine (2023) • Computer Methods and Programs in Biomedicine Update • 39 citations
  Yang et al.
• Full Parameter Fine-tuning For Large Language Models With Limited Resources (2023) • No Venue
  Lv et al.
• Kosmos-2.5: A Multimodal Literate Model (2023) • No Venue
  Lv et al.
• One-dimensional Adapter To Rule Them All: Concepts, Diffusion Models And Erasing Applications (2023) • No Venue
  Lyu et al.
• An Iterative Optimizing Framework For Radiology Report Summarization With Chatgpt (2023) • IEEE Transactions on Artificial Intelligence • 50 citations
  Ma et al.
• Fine-tuning Llama For Multi-stage Text Retrieval (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 67 citations
  Ma et al.
• Extending Whisper With Prompt Tuning To Target-speaker ASR (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 14 citations
  Ma et al.
• Training Chain-of-thought Via Latent-variable Inference (2023) • No Venue
  Phan et al.
• MM-REACT: Prompting Chatgpt For Multimodal Reasoning And Action (2023) • Arxiv • 78 citations
  Yang et al.
• The Impact Of Depth And Width On Transformer Language Model Generalization (2023) • No Venue
  Petty et al.
• Dissociating Language And Thought In Large Language Models (2023) • Trends in Cognitive Sciences • 218 citations
  Mahowald et al.
• Constitutionmaker: Interactively Critiquing Large Language Models By Converting Feedback Into Principles (2023) • IUI '24: 29th International Conference on Intelligent User Interfaces • 14 citations
  Petridis et al.
• Model Tuning Or Prompt Tuning? A Study Of Large Language Models For Clinical Concept And Relation Extraction (2023) • Journal of Biomedical Informatics • 51 citations
  Peng et al.
• Unichart: A Universal Vision-language Pretrained Model For Chart Comprehension And Reasoning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 37 citations
  Masry et al.
• Towards Automatically Addressing Self-admitted Technical Debt: How Far Are We? (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 12 citations
  Antonio Mastropaolo, Massimiliano di Penta, Gabriele Bavota
• LLM-RM At Semeval-2023 Task 2: Multilingual Complex NER Using Xlm-roberta (2023) • Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) • 10 citations
  Rahul Mehta, Vasudeva Varma
• Sentimentgpt: Exploiting GPT For Advanced Sentiment Analysis And Its Departure From Current Machine Learning (2023) • Arxiv • 36 citations
  Kiana Kheiri, Hamid Karimi
• Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior (2023) • No Venue
  Khandelwal et al.
• Dspy: Compiling Declarative Language Model Calls Into Self-improving Pipelines (2023) • No Venue
  Khattab et al.
• Self-regulating Prompts: Foundational Model Adaptation Without Forgetting (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 134 citations
  Khattak et al.
• Gptaraeval: A Comprehensive Evaluation Of Chatgpt On Arabic NLP (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 30 citations
  Khondaker et al.
• Contrastive Feature Masking Open-vocabulary Vision Transformer (2023) • No Venue
  Dahun Kim, Anelia Angelova, Weicheng Kuo
• Dense Text-to-image Generation With Attention Modulation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 92 citations
  Kim et al.
• Fantom: A Benchmark For Stress-testing Machine Theory Of Mind In Interactions (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Kim et al.
• The Cot Collection: Improving Zero-shot And Few-shot Learning Of Language Models Via Chain-of-thought Fine-tuning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 31 citations
  Kim et al.
• Tied-lora: Enhacing Parameter Efficiency Of Lora With Weight Tying (2023) • No Venue
  Adithya Renduchintala, Tugrul Konuk, Oleksii Kuchaiev
• MELTR: Meta Loss Transformer For Learning To Fine-tune Video Foundation Models (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Ko et al.
• Exploring Large Language Models For Knowledge Graph Completion (2023) • ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 19 citations
  Yao et al.
• Promptrank: Unsupervised Keyphrase Extraction Using Prompt (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Kong et al.
• Vera: Vector-based Random Matrix Adaptation (2023) • No Venue
  Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki Markus Asano
• Humans In Humans Out: On GPT Converging Toward Common Sense In Both Success And Failure (2023) • Arxiv • 11 citations
  Philipp Koralus, Vincent Wang-Maścianica
• Guiding Image Captioning Models Toward More Specific Captions (2023) • No Venue
  Kornblith et al.
• Low-rank Adaptation Of Large Language Model Rescoring For Parameter-efficient Speech Recognition (2023) • No Venue
  Yu et al.
• Viescore: Towards Explainable Metrics For Conditional Image Synthesis Evaluation (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Ku et al.
• Federatedscope-llm: A Comprehensive Package For Fine-tuning Large Language Models In Federated Learning (2023) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 70 citations
  Kuang et al.
• LISA: Reasoning Segmentation Via Large Language Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 229 citations
  Lai et al.
• Okapi: Instruction-tuned Large Language Models In Multiple Languages With Reinforcement Learning From Human Feedback (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 16 citations
  Lai et al.
• Comparison Between Parameter-efficient Techniques And Full Fine-tuning: A Case Study On Multilingual News Article Classification (2023) • PLOS ONE • 13 citations
  Razuvayevskaya et al.
• Visualizing Linguistic Diversity Of Text Datasets Synthesized By Large Language Models (2023) • 2023 IEEE Visualization and Visual Analytics (VIS) • 10 citations
  Emily Reif, Minsuk Kahng, Savvas Petridis
• Fine-tuning Chatgpt For Automatic Scoring (2023) • Computers and Education: Artificial Intelligence • 98 citations
  Ehsan Latif, Xiaoming Zhai
• Mmap : Multi-modal Alignment Prompt For Cross-domain Multi-task Learning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 51 citations
  Xin et al.
• Temporal Knowledge Graph Forecasting Without Knowledge Using In-context Learning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 22 citations
  Lee et al.
• Aligning Text-to-image Models Using Human Feedback (2023) • Arxiv • 34 citations
  Lee et al.
• Prompted Llms As Chatbot Modules For Long Open-domain Conversation (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 21 citations
  Lee et al.
• OWQ: Outlier-aware Weight Quantization For Efficient Fine-tuning And Inference Of Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 29 citations
  Lee et al.
• Platypus: Quick, Cheap, And Powerful Refinement Of Llms (2023) • No Venue
  Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz
• Knowledge Of Cultural Moral Norms In Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 34 citations
  Aida Ramezani, Yang Xu
• Lumos: Learning Agents With Unified Data, Modular Design, And Open-source Llms (2023) • No Venue
  Yin et al.
• Linguistic Binding In Diffusion Models: Enhancing Attribute Correspondence Through Attention Map Alignment (2023) • Arxiv • 11 citations
  Rassin et al.
• Self-detoxifying Language Models Via Toxification Reversal (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Leong et al.
• Lora Fine-tuning Efficiently Undoes Safety Training In Llama 2-chat 70B (2023) • No Venue
  Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish
• Contrastive Graph Prompt-tuning For Cross-domain Recommendation (2023) • ACM Transactions on Information Systems • 16 citations
  Zixuan Yi, Iadh Ounis, Craig MacDonald
• Chatdoctor: A Medical Chat Model Fine-tuned On A Large Language Model Meta-ai (llama) Using Medical Domain Knowledge (2023) • Cureus • 288 citations
  Li et al.
• Clipa-v2: Scaling CLIP Training With 81.1% Zero-shot Imagenet Accuracy Within A \10,000 Budget; An Extra 4,000 Unlocks 81.8% Accuracy (2023) • No Venue
  Xianhang Li, Zeyu Wang, Cihang Xie
• Codeie: Large Code Generation Models Are Better Few-shot Information Extractors (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 36 citations
  Li et al.
• Evcap: Retrieval-augmented Image Captioning With External Visual-name Memory For Open-world Comprehension (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 30 citations
  Li et al.
• Eliciting The Translation Ability Of Large Language Models Via Multilingual Finetuning With Translation Instructions (2023) • Transactions of the Association for Computational Linguistics • 27 citations
  Li et al.
• Efficient Multimodal Fusion Via Interactive Prompting (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 47 citations
  Li et al.
• Empowering Molecule Discovery For Molecule-caption Translation With Large Language Models: A Chatgpt Perspective (2023) • IEEE Transactions on Knowledge and Data Engineering • 42 citations
  Li et al.
• Masked Vision And Language Pre-training With Unimodal And Multimodal Contrastive Losses For Medical Visual Question Answering (2023) • Lecture Notes in Computer Science • 45 citations
  Li et al.
• Manipllm: Embodied Multimodal Large Language Model For Object-centric Robotic Manipulation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 49 citations
  Li et al.
• Loftq: Lora-fine-tuning-aware Quantization For Large Language Models (2023) • No Venue
  Li et al.
• Mot: Memory-of-thought Enables Chatgpt To Self-improve (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 13 citations
  Xiaonan Li, Xipeng Qiu
• Panogen: Text-conditioned Panoramic Environment Generation For Vision-and-language Navigation (2023) • Arxiv • 18 citations
  Jialu Li, Mohit Bansal
• Prompting Large Language Models For Zero-shot Domain Adaptation In Speech Recognition (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 13 citations
  Li et al.
• Self-alignment With Instruction Backtranslation (2023) • No Venue
  Li et al.
• Table-gpt: Table-tuned GPT For Diverse Table Tasks (2023) • No Venue
  Li et al.
• Tuna: Instruction Tuning Using Feedback From Large Language Models (2023) • No Venue
  Li et al.
• Text Is All You Need: Learning Language Representations For Sequential Recommendation (2023) • Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 112 citations
  Li et al.
• A Trip Towards Fairness: Bias And De-biasing In Large Language Models (2023) • Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024) • 10 citations
  Ranaldi et al.
• X-adapter: Adding Universal Compatibility Of Plugins For Upgraded Diffusion Model (2023) • No Venue
  Ran et al.
• VLN-PETL: Parameter-efficient Transfer Learning For Vision-and-language Navigation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 15 citations
  Yanyuan Qiao, Zheng Yu, Qi Wu
• Gpt-fathom: Benchmarking Large Language Models To Decipher The Evolutionary Path Towards GPT-4 And Beyond (2023) • No Venue
  Zheng et al.
• Ureader: Universal Ocr-free Visually-situated Language Understanding With Multimodal Large Language Model (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 48 citations
  Ye et al.
• Drugassist: A Large Language Model For Molecule Optimization (2023) • Briefings in Bioinformatics • 21 citations
  Ye et al.
• Mplug-docowl: Modularized Multimodal Large Language Model For Document Understanding (2023) • No Venue
  Ye et al.
• Ip-adapter: Text Compatible Image Prompt Adapter For Text-to-image Diffusion Models (2023) • No Venue
  Ye et al.
• Open-source Large Language Models Are Strong Zero-shot Query Likelihood Models For Document Ranking (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 22 citations
  Zhuang et al.
• What You See Is What You Read? Improving Text-image Alignment Evaluation (2023) • Arxiv • 14 citations
  Yarom et al.
• Prompting Large Language Models With Chain-of-thought For Few-shot Knowledge Base Question Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Liang et al.
• OMG: Towards Open-vocabulary Motion Generation Via Mixture Of Controllers (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Liang et al.
• Drugchat: Towards Enabling Chatgpt-like Capabilities On Drug Molecule Graphs (2023) • No Venue
  Liang et al.
• BERT-ERC: Fine-tuning BERT Is Enough For Emotion Recognition In Conversation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 33 citations
  Qin et al.
• Retroformer: Retrospective Large Language Agents With Policy Gradient Optimization (2023) • No Venue
  Yao et al.
• Federated Fine-tuning Of Llms On The Very Edge: The Good, The Bad, The Ugly (2023) • SIGMOD/PODS '24: International Conference on Management of Data • 11 citations
  Woisetschläger et al.
• Gentkg: Generative Forecasting On Temporal Knowledge Graph With Large Language Models (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 20 citations
  Liao et al.
• Parameter-efficient Fine-tuning Without Introducing New Latency (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 23 citations
  Baohao Liao, Yan Meng, Christof Monz
• Opening Up Chatgpt: Tracking Openness, Transparency, And Accountability In Instruction-tuned Text Generators (2023) • CUI '23: ACM conference on Conversational User Interfaces • 68 citations
  Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
• Pushing Large Language Models To The 6G Edge: Vision, Challenges, And Opportunities (2023) • IEEE Communications Magazine • 15 citations
  Lin et al.
• Beneath The Surface: Unveiling Harmful Memes With Multimodal Reasoning Distilled From Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Lin et al.
• Match, Expand And Improve: Unsupervised Finetuning For Zero-shot Action Recognition With Language Knowledge (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 28 citations
  Lin et al.
• The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning (2023) • No Venue
  Lin et al.
• VILA: On Pre-training For Visual Language Models (2023) • No Venue
  Lin et al.
• Controlling Text-to-image Diffusion By Orthogonal Finetuning (2023) • No Venue
  Qiu et al.
• Llm-powered Data Augmentation For Enhanced Cross-lingual Performance (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 38 citations
  Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji
• Exploring Parameter-efficient Fine-tuning Techniques For Code Generation With Large Language Models (2023) • ACM Transactions on Software Engineering and Methodology • 25 citations
  Weyssow et al.
• A Social-aware Gaussian Pre-trained Model For Effective Cold-start Recommendation (2023) • Information Processing & Management • 13 citations
  Liu et al.
• Fingpt: Democratizing Internet-scale Data For Financial Large Language Models (2023) • Arxiv • 22 citations
  Liu et al.
• Language Models As Black-box Optimizers For Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Liu et al.
• Mitigating Hallucination In Large Multi-modal Models Via Robust Instruction Tuning (2023) • Arxiv • 24 citations
  Liu et al.
• Mftcoder: Boosting Code Llms With Multitask Fine-tuning (2023) • No Venue
  Liu et al.
• Parameter-efficient Orthogonal Finetuning Via Butterfly Factorization (2023) • No Venue
  Liu et al.
• Multi-task Recommendations With Reinforcement Learning (2023) • Proceedings of the ACM Web Conference 2023 • 38 citations
  Liu et al.
• Molca: Molecular Graph-language Modeling With Cross-modal Projector And Uni-modal Adapter (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Liu et al.
• Molxpt: Wrapping Molecules With Text For Generative Pre-training (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 20 citations
  Liu et al.
• Summary Of Chatgpt-related Research And Perspective Towards The Future Of Large Language Models (2023) • Meta-Radiology • 620 citations
  Liu et al.
• Statistical Rejection Sampling Improves Preference Optimization (2023) • No Venue
  Liu et al.
• Stylecrafter: Enhancing Stylized Text-to-video Generation With Style Adapter (2023) • No Venue
  Liu et al.
• Vgdiffzero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Liu et al.
• Tinygsm: Achieving >80% On Gsm8k With Small Language Models (2023) • No Venue
  Liu et al.
• Visual Instruction Tuning (2023) • Arxiv • 666 citations
  Liu et al.
• When MOE Meets Llms: Parameter Efficient Fine-tuning For Multi-task Medical Applications (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 57 citations
  Liu et al.
• Enabling On-device Large Language Model Personalization With Self-supervised Data Selection And Synthesis (2023) • DAC '24: 61st ACM/IEEE Design Automation Conference • 12 citations
  Qin et al.
• Egovlpv2: Egocentric Video-language Pre-training With Fusion In The Backbone (2023) • No Venue
  Pramanick et al.
• Adaptive Shells For Efficient Neural Radiance Field Rendering (2023) • No Venue
  Wang et al.
• ULIP-2: Towards Scalable Multimodal Pre-training For 3D Understanding (2023) • CVPR2024 • 15 citations
  Xue et al.
• Unveiling The Implicit Toxicity In Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Wen et al.
• Uncommonsense Reasoning: Abductive Reasoning About Uncommon Situations (2023) • No Venue
  Zhao et al.
• Fine-tuning Large Enterprise Language Models Via Ontological Reasoning (2023) • Lecture Notes in Computer Science • 14 citations
  Baldazzi et al.
• Composed Image Retrieval Using Contrastive Learning And Task-oriented Clip-based Features (2023) • ACM Transactions on Multimedia Computing, Communications, and Applications • 37 citations
  Baldrati et al.
• Cleanclip: Mitigating Data Poisoning Attacks In Multimodal Contrastive Learning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 22 citations
  Bansal et al.
• A Bi-step Grounding Paradigm For Large Language Models In Recommendation Systems (2023) • ACM Transactions on Recommender Systems • 21 citations
  Bao et al.
• Recommender Systems In The Era Of Large Language Models (llms) (2023) • IEEE Transactions on Knowledge and Data Engineering • 218 citations
  Zhao et al.
• With A Little Help From Your Own Past: Prototypical Memory Networks For Image Captioning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 26 citations
  Barraco et al.
• Revisiting Relation Extraction In The Era Of Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 102 citations
  Somin Wadhwa, Silvio Amir, Byron C. Wallace
• Conda: Contrastive Domain Adaptation For Ai-generated Text Detection (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Bhattacharjee et al.
• TART: A Plug-and-play Transformer Module For Task-agnostic Reasoning (2023) • No Venue
  Bhatia et al.
• Promptcblue: A Chinese Prompt Tuning Benchmark For The Medical Domain (2023) • Arxiv • 20 citations
  Zhu et al.
• Pockengine: Sparse And Efficient Fine-tuning In A Pocket (2023) • No Venue
  Zhu et al.
• Align Your Latents: High-resolution Video Synthesis With Latent Diffusion Models (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 554 citations
  Blattmann et al.
• Focused Transformer: Contrastive Training For Context Scaling (2023) • No Venue
  Tworkowski et al.
• SGL-PT: A Strong Graph Learner With Graph Prompt Tuning (2023) • Arxiv • 12 citations
  Yun Zhu, Jianhao Guo, Siliang Tang
• PASTA: Pretrained Action-state Transformer Agents (2023) • No Venue
  Boige et al.
• Quantizable Transformers: Removing Outliers By Helping Attention Heads Do Nothing (2023) • No Venue
  Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
• Bioinstruct: Instruction Tuning Of Large Language Models For Biomedical Natural Language Processing (2023) • Journal of the American Medical Informatics Association • 35 citations
  Tran et al.
• Distributed Inference And Fine-tuning Of Large Language Models Over The Internet (2023) • No Venue
  Borzunov et al.
• Grounding Everything: Emerging Localization Properties In Vision-language Transformers (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 30 citations
  Bousselham et al.
• Mechgpt, A Language-based Strategy For Mechanics And Materials Modeling That Connects Knowledge Across Scales, Disciplines And Modalities (2023) • Applied Mechanics Reviews • 84 citations
  Markus J. Buehler
• All In One: Multi-task Prompting For Graph Neural Networks (2023) • KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 127 citations
  Sun et al.
• Scalable Educational Question Generation With Pre-trained Language Models (2023) • Lecture Notes in Computer Science • 33 citations
  Sahan Bulathwela, Hamze Muse, Emine Yilmaz
• Weak-to-strong Generalization: Eliciting Strong Capabilities With Weak Supervision (2023) • No Venue
  Burns et al.
• Just Tell Me: Prompt Engineering In Business Process Management (2023) • Lecture Notes in Business Information Processing • 57 citations
  Busch et al.
• Alpha-clip: A CLIP Model Focusing On Wherever You Want (2023) • No Venue
  Sun et al.
• Sql-palm: Improved Large Language Modeladaptation For Text-to-sql (2023) • No Venue
  Sun et al.
• Text Classification Via Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 121 citations
  Sun et al.
• Sqlprompt: In-context Text-to-sql With Minimal Labeled Data (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Sun et al.
• H2ogpt: Democratizing Large Language Models (2023) • No Venue
  Candel et al.
• Pro-cap: Leveraging A Frozen Vision-language Model For Hateful Meme Detection (2023) • MM '23: The 31st ACM International Conference on Multimedia • 38 citations
  Cao et al.
• Instruction Mining: High-quality Instruction Data Selection For Large Language Models (2023) • No Venue
  Yihan Cao, Yanbin Kang, Lichao Sun
• Defending Against Alignment-breaking Attacks Via Robustly Aligned LLM (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 26 citations
  Cao et al.
• Pumer: Pruning And Merging Tokens For Efficient Vision Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
  Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
• CLIP As RNN: Segment Countless Visual Concepts Without Training Endeavor (2023) • No Venue
  Sun et al.
• Going Beyond Nouns With Vision & Language Models Using Synthetic Data (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 26 citations
  Cascante-Bonilla et al.
• Spanish Pre-trained BERT Model And Evaluation Data (2023) • Arxiv • 332 citations
  Cañete et al.
• Learning To Reason Over Scene Graphs: A Case Study Of Finetuning GPT-2 Into A Robot Language Model For Grounded Task Planning (2023) • Frontiers in Robotics and AI • 20 citations
  Chalvatzaki et al.
• Chipgpt: How Far Are We From Natural Language Hardware Design (2023) • Arxiv • 27 citations
  Chang et al.
• LLM4TS: Aligning Pre-trained Llms As Data-efficient Time-series Forecasters (2023) • ACM Transactions on Intelligent Systems and Technology • 52 citations
  Chang et al.
• Language Model Behavior: A Comprehensive Survey (2023) • Computational Linguistics • 57 citations
  Tyler A. Chang, Benjamin K. Bergen
• One-for-all: Generalized Lora For Parameter-efficient Fine-tuning (2023) • No Venue
  Chavan et al.
• Data-juicer: A One-stop Data Processing System For Large Language Models (2023) • SIGMOD/PODS '24: International Conference on Management of Data • 24 citations
  Chen et al.
• Alpagasus: Training A Better Alpaca With Fewer Data (2023) • No Venue
  Chen et al.
• Evaluation Of Chatgpt Family Of Models For Biomedical Reasoning And Classification (2023) • Arxiv • 19 citations
  Chen et al.
• Disenbooth: Identity-preserving Disentangled Tuning For Subject-driven Text-to-image Generation (2023) • Arxiv • 11 citations
  Chen et al.
• DRESS: Instructing Large Vision-language Models To Align And Interact With Humans Via Natural Language Feedback (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Chen et al.
• Extending Context Window Of Large Language Models Via Positional Interpolation (2023) • No Venue
  Chen et al.
• Lorashear: Efficient Large Language Model Structured Pruning And Knowledge Recovery (2023) • No Venue
  Chen et al.
• Longlora: Efficient Fine-tuning Of Long-context Large Language Models (2023) • No Venue
  Chen et al.
• Matchat: A Large Language Model And Application Service Platform For Materials Science (2023) • Chinese Physics B • 21 citations
  Chen et al.
• NL2TL: Transforming Natural Languages To Temporal Logics Using Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 41 citations
  Chen et al.
• SALM: Speech-augmented Language Model With In-context Learning For Speech Recognition And Translation (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 15 citations
  Chen et al.
• Prompting Or Fine-tuning? A Comparative Study Of Large Language Models For Taxonomy Construction (2023) • 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) • 22 citations
  Boqi Chen, Fandi Yi, Dániel Varró
• The Janus Interface: How Fine-tuning In Large Language Models Amplifies The Privacy Risks (2023) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 16 citations
  Chen et al.
• Subject-driven Text-to-image Generation Via Apprenticeship Learning (2023) • Arxiv • 46 citations
  Chen et al.
• Soulchat: Improving Llms' Empathy, Listening, And Comfort Abilities Through Fine-tuning With Multi-turn Empathy Conversations (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 45 citations
  Chen et al.
• Sharegpt4v: Improving Large Multi-modal Models With Better Captions (2023) • Lecture Notes in Computer Science • 162 citations
  Chen et al.
• An Empirical Comparison Of Lm-based Question And Answer Generation Methods (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 18 citations
  Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados
• Automating Code-related Tasks Through Transformers: The Impact Of Pre-training (2023) • 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) • 14 citations
  Rosalia Tufano, Luca Pascarella, Gabriele Bavota
• LDM3D: Latent Diffusion Model For 3D (2023) • No Venue
  Stan et al.
• Adapting Large Language Models By Integrating Collaborative Semantics For Recommendation (2023) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 66 citations
  Zheng et al.
• Enriching Source Code With Contextual Data For Code Completion Models: An Empirical Study (2023) • 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) • 10 citations
  Tim van Dam, Maliheh Izadi, Arie van Deursen
• Open-ended Medical Visual Question Answering Through Prefix Tuning Of Language Models (2023) • Lecture Notes in Computer Science • 47 citations
  Sonsbeek et al.
• Radadapt: Radiology Report Summarization Via Lightweight Domain Adaptation Of Large Language Models (2023) • The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks • 16 citations
  Veen et al.
• The First Step Is The Hardest: Pitfalls Of Representing And Tokenizing Temporal Data For Large Language Models (2023) • Journal of the American Medical Informatics Association • 17 citations
  Dimitris Spathis, Fahim Kawsar
• Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts (2023) • No Venue
  Veen et al.
• Revisiting The Plastic Surgery Hypothesis Via Large Language Models (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 21 citations
  Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang
• Preference Ranking Optimization For Human Alignment (2023) • Arxiv • 12 citations
  Song et al.
• Speechgpt: Empowering Large Language Models With Intrinsic Cross-modal Conversational Abilities (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 119 citations
  Zhang et al.
• Beyond Generic: Enhancing Image Captioning With Real-world Knowledge Using Vision-language Pre-training Model (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 12 citations
  Cheng et al.
• Optimize Weight Rounding Via Signed Gradient Descent For The Quantization Of Llms (2023) • No Venue
  Cheng et al.
• UPRISE: Universal Prompt Retrieval For Improving Zero-shot Evaluation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Cheng et al.
• Beyond Human Data: Scaling Self-training For Problem-solving With Language Models (2023) • No Venue
  Singh et al.
• Honeybee: Progressive Instruction Finetuning Of Large Language Models For Materials Science (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Song et al.
• Pneumollm: Harnessing The Power Of Large Language Model For Pneumoconiosis Diagnosis (2023) • Medical Image Analysis • 21 citations
  Song et al.
• Matsci-nlp: Evaluating Scientific Language Models On Materials Science Language Tasks Using Text-to-schema Modeling (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Yu Song, Santiago Miret, Bang Liu
• Text-to-sticker: Style Tailoring Latent Diffusion Models For Human Expression (2023) • No Venue
  Sinha et al.
• Observations On Llms For Telecom Domain: Capabilities And Limitations (2023) • AIMLSystems 2023: The Third International Conference on Artificial Intelligence and Machine Learning Systems • 25 citations
  Sumit Soman, Ranjani H G
• Automated Claim Matching With Large Language Models: Empowering Fact-checkers In The Fight Against Misinformation (2023) • WWW '24: The ACM Web Conference 2024 • 10 citations
  Eun Cheol Choi, Emilio Ferrara
• Biomedical Knowledge Graph-optimized Prompt Generation For Large Language Models (2023) • Bioinformatics • 72 citations
  Soman et al.
• Continual Diffusion: Continual Customization Of Text-to-image Diffusion With C-lora (2023) • Arxiv • 20 citations
  Smith et al.
• Xuanyuan 2.0: A Large Chinese Financial Chat Model With Hundreds Of Billions Parameters (2023) • Proceedings of the 32nd ACM International Conference on Information and Knowledge Management • 65 citations
  Xuanyu Zhang, Qing Yang, Dongliang Xu
• Matching Exemplar As Next Sentence Prediction (mensp): Zero-shot Prompt Learning For Automatic Scoring In Science Education (2023) • Lecture Notes in Computer Science • 20 citations
  Wu et al.
• Data-centric Financial Large Language Models (2023) • No Venue
  Chu et al.
• Tablellama: Towards Open Large Generalist Models For Tables (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 29 citations
  Zhang et al.
• Towards Expert-level Medical Question Answering With Large Language Models (2023) • Arxiv • 332 citations
  Singhal et al.
• RS5M And Georsclip: A Large Scale Vision-language Dataset And A Large Vision-language Model For Remote Sensing (2023) • IEEE Transactions on Geoscience and Remote Sensing • 53 citations
  Zhang et al.
• AD-CLIP: Adapting Domains In Prompt Space Using CLIP (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 37 citations
  Singha et al.
• Emu: Enhancing Image Generation Models Using Photogenic Needles In A Haystack (2023) • No Venue
  Dai et al.
• Safe RLHF: Safe Reinforcement Learning From Human Feedback (2023) • No Venue
  Dai et al.
• Mm-narrator: Narrating Long-form Videos With Multimodal In-context Learning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Zhang et al.
• Prospect: Prompt Spectrum For Attribute-aware Personalization Of Diffusion Models (2023) • ACM Transactions on Graphics • 84 citations
  Zhang et al.
• Paste, Inpaint And Harmonize Via Denoising: Subject-driven Image Editing With Pre-trained Diffusion Model (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 10 citations
  Zhang et al.
• Learning Expressive Prompting With Residuals For Vision Transformers (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Das et al.
• Optimizing Distributed Training On Frontier For Large Language Models (2023) • ISC High Performance 2024 Research Paper Proceedings (39th International Conference) • 13 citations
  Dash et al.
• Vadclip: Adapting Vision-language Models For Weakly Supervised Video Anomaly Detection (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 100 citations
  Wu et al.
• Instruction Tuning For Large Language Models: A Survey (2023) • ACM Computing Surveys • 19 citations
  Zhang et al.
• Dragvideo: Interactive Drag-style Video Editing (2023) • No Venue
  Deng et al.
• ITI-GEN: Inclusive Text-to-image Generation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 44 citations
  Zhang et al.
• Llm-based Medical Assistant Personalization With Short- And Long-term Memory Coordination (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 13 citations
  Zhang et al.
• Loraprune: Structured Pruning Meets Low-rank Parameter-efficient Fine-tuning (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 37 citations
  Zhang et al.
• Investigating Chain-of-thought With Chatgpt For Stance Detection On Social Media (2023) • Arxiv • 16 citations
  Zhang et al.
• Knowledgeable Preference Alignment For Llms In Domain-specific Question Answering (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Zhang et al.
• Repairllama: Efficient Representations And Fine-tuned Adapters For Program Repair (2023) • IEEE Transactions on Software Engineering • 11 citations
  André Silva, Sen Fang, Martin Monperrus
• Cross-domain Image Captioning With Discriminative Finetuning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 19 citations
  Dessì et al.
• Qlora: Efficient Finetuning Of Quantized Llms (2023) • No Venue
  Dettmers et al.
• Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages (2023) • Arxiv • 111 citations
  Zhang et al.
• BTLM-3B-8K: 7B Parameter Performance In A 3B Parameter Model (2023) • No Venue
  Dey et al.
• Using Large Language Models To Generate Junit Tests: An Empirical Study (2023) • EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering • 56 citations
  Siddiq et al.
• Unipt: Universal Parallel Tuning For Transfer Learning With Efficient Parameter And Memory (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Diao et al.
• Mixture-of-domain-adapters: Decoupling And Injecting Domain Knowledge To Pre-trained Language Models Memories (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Diao et al.
• Enhancing Chat Language Models By Scaling High-quality Instructional Conversations (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 68 citations
  Ding et al.
• HPC-GPT: Integrating Large Language Model For High-performance Computing (2023) • SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis • 28 citations
  Ding et al.
• Sparse Low-rank Adaptation Of Pre-trained Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 35 citations
  Ding et al.
• Extractive Summarization Via Chatgpt For Faithful Summary Generation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 61 citations
  Haopeng Zhang, Xiao Liu, Jiawei Zhang
• How Abilities In Large Language Models Are Affected By Supervised Fine-tuning Data Composition (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Dong et al.
• RAFT: Reward Ranked Finetuning For Generative Foundation Model Alignment (2023) • Arxiv • 27 citations
  Dong et al.
• Aligning Instruction Tasks Unlocks Large Language Models As Zero-shot Relation Extractors (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 46 citations
  Kai Zhang, Bernal Jiménez Gutiérrez, Yu Su
• Dialogstudio: Towards Richest And Most Diverse Unified Dataset Collection For Conversational AI (2023) • No Venue
  Zhang et al.
• Dialoguellm: Context And Emotion Knowledge-tuned Large Language Models For Emotion Recognition In Conversations (2023) • Neural Networks • 11 citations
  Zhang et al.
• Loramoe: Alleviate World Knowledge Forgetting In Large Language Models Via Moe-style Plugin (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 32 citations
  Dou et al.
• Dense And Aligned Captions (DAC) Promote Compositional Reasoning In VL Models (2023) • Arxiv • 12 citations
  Doveh et al.
• Domain Adaptation For Code Model-based Unit Test Case Generation (2023) • ISSTA '24: 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis • 16 citations
  Shin et al.
• Benchmarking Large Language Models For News Summarization (2023) • Transactions of the Association for Computational Linguistics • 225 citations
  Zhang et al.
• Alpacafarm: A Simulation Framework For Methods That Learn From Human Feedback (2023) • Arxiv • 53 citations
  Dubois et al.
• Clipood: Generalizing CLIP To Out-of-distributions (2023) • Arxiv • 11 citations
  Shu et al.
• Identifying And Extracting Rare Disease Phenotypes With Large Language Models (2023) • Journal of Healthcare Informatics Research • 44 citations
  Shyr et al.
• Text-guided 3D Face Synthesis -- From Generation To Editing (2023) • No Venue
  Wu et al.
• Chatgpt As A Therapist Assistant: A Suitability Study (2023) • SSRN Electronic Journal • 22 citations
  Mahshid Eshghie, Mojtaba Eshghie
• Exploring And Characterizing Large Language Models For Embedded System Development And Debugging (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 18 citations
  Englhardt et al.
• A Simple Recipe For Language-guided Domain Generalized Segmentation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Fahes et al.
• Cost-effective In-context Learning For Entity Resolution: A Design Space Exploration (2023) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 20 citations
  Fan et al.
• Grammargpt: Exploring Open-source Llms For Native Chinese Grammatical Error Correction With Supervised Fine-tuning (2023) • Lecture Notes in Computer Science • 26 citations
  Fan et al.
• EVA-02: A Visual Representation For Neon Genesis (2023) • Image and Vision Computing. Volume 149 September 2024 105171 • 10 citations
  Fang et al.
• Lawbench: Benchmarking Legal Knowledge Of Large Language Models (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 41 citations
  Fei et al.
• Winoqueer: A Community-in-the-loop Benchmark For Anti-lgbtq+ Bias In Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 40 citations
  Felkner et al.
• Sotana: The Open-source Software Development Assistant (2023) • No Venue
  Shi et al.
• The Devil Is In The Errors: Leveraging Large Language Models For Fine-grained Machine Translation Evaluation (2023) • Proceedings of the Eighth Conference on Machine Translation • 15 citations
  Fernandes et al.
• Towards Efficient Fine-tuning Of Pre-trained Code Models: An Experimental Study And Beyond (2023) • Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis • 33 citations
  Shi et al.
• Pmc-llama: Towards Building Open-source Language Models For Medicine (2023) • Journal of the American Medical Informatics Association • 204 citations
  Wu et al.
• Openicl: An Open-source Framework For In-context Learning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 10 citations
  Wu et al.
• Unleashing The Power Of Pre-trained Language Models For Offline Reinforcement Learning (2023) • No Venue
  Shi et al.
• Exploring Adapter-based Transfer Learning For Recommender Systems: Empirical Studies And Practical Insights (2023) • Proceedings of the 17th ACM International Conference on Web Search and Data Mining • 30 citations
  Fu et al.
• Chatgraph: Interpretable Text Classification By Converting Chatgpt Knowledge To Graphs (2023) • 2023 IEEE International Conference on Data Mining Workshops (ICDMW) • 23 citations
  Shi et al.
• S-lora: Serving Thousands Of Concurrent Lora Adapters (2023) • No Venue
  Sheng et al.
• A Unified Continual Learning Framework With General Parameter-efficient Tuning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 54 citations
  Gao et al.
• Aligning And Prompting Everything All At Once For Universal Visual Perception (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Shen et al.
• Exploring The Feasibility Of Chatgpt For Event Extraction (2023) • Arxiv • 55 citations
  Gao et al.
• Text-to-sql Empowered By Large Language Models: A Benchmark Evaluation (2023) • Proceedings of the VLDB Endowment • 134 citations
  Gao et al.
• Physically Grounded Vision-language Models For Robotic Manipulation (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 67 citations
  Gao et al.
• Ophglm: Training An Ophthalmology Large Language-and-vision Assistant Based On Instructions And Dialogue (2023) • Arxiv • 11 citations
  Gao et al.
• A Picture Is Worth More Than 77 Text Tokens: Evaluating Clip-style Models On Dense Captions (2023) • No Venue
  Urbanek et al.
• MART: Improving LLM Safety With Multi-round Automatic Red-teaming (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 17 citations
  Ge et al.
• In-context Autoencoder For Context Compression In A Large Language Model (2023) • No Venue
  Ge et al.
• Planting A SEED Of Vision In Large Language Model (2023) • No Venue
  Ge et al.
• Grammar-constrained Decoding For Structured NLP Tasks Without Finetuning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 25 citations
  Geng et al.
• VIP5: Towards Multimodal Foundation Models For Recommendation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 42 citations
  Geng et al.
• Pangu-coder2: Boosting Large Language Models For Code With Ranking Feedback (2023) • No Venue
  Shen et al.
• Gender-tuning: Empowering Fine-tuning For Debiasing Pre-trained Language Models (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 13 citations
  Ghanbarzadeh et al.
• Flacuna: Unleashing The Problem Solving Power Of Vicuna Using FLAN Fine-tuning (2023) • No Venue
  Ghosal et al.
• RECAP: Retrieval-augmented Audio Captioning (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 15 citations
  Ghosh et al.
• Learning From Models Beyond Fine-tuning (2023) • Nature Machine Intelligence • 36 citations
  Zheng et al.
• Domain Aligned CLIP For Few-shot Classification (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 12 citations
  Gondal et al.
• Whisper-at: Noise-robust Automatic Speech Recognizers Are Also Strong General Audio Event Taggers (2023) • No Venue
  Gong et al.
• Leveraging Large Language Models And Weak Supervision For Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets (2023) • Lecture Notes in Computer Science • 10 citations
  Ramya Tekumalla, Juan M. Banda
• Xraygpt: Chest Radiographs Summarization Using Medical Vision-language Models (2023) • Arxiv • 39 citations
  Thawakar et al.
• Florence-2: Advancing A Unified Representation For A Variety Of Vision Tasks (2023) • No Venue
  Xiao et al.
• A Survey On Llm-generated Text Detection: Necessity, Methods, And Future Directions (2023) • Computational Linguistics • 81 citations
  Wu et al.
• Supporting Qualitative Analysis With Large Language Models: Combining Codebook With GPT-3 For Deductive Coding (2023) • IUI '23: 28th International Conference on Intelligent User Interfaces • 141 citations
  Xiao et al.
• Unidcp: Unifying Multiple Medical Vision-language Tasks Via Dynamic Cross-modal Learnable Prompts (2023) • IEEE Transactions on Multimedia • 10 citations
  Zhan et al.
• Removing RLHF Protections In GPT-4 Via Fine-tuning (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) • 14 citations
  Zhan et al.
• Cohortgpt: An Enhanced GPT For Participant Recruitment In Clinical Study (2023) • Arxiv • 15 citations
  Guan et al.
• The Challenge Of Using Llms To Simulate Human Behavior: A Causal Inference Perspective (2023) • SSRN Electronic Journal • 14 citations
  George Gui, Olivier Toubia
• Textbooks Are All You Need (2023) • No Venue
  Gunasekar et al.
• Animatediff: Animate Your Personalized Text-to-image Diffusion Models Without Specific Tuning (2023) • No Venue
  Guo et al.
• Audio-visual Deception Detection: DOLOS Dataset And Parameter-efficient Crossmodal Learning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 23 citations
  Guo et al.
• Momask: Generative Masked Modeling Of 3D Human Motions (2023) • No Venue
  Guo et al.
• Point-bind & Point-llm: Aligning Point Cloud With Multi-modality For 3D Understanding, Generation, And Instruction Following (2023) • No Venue
  Guo et al.
• The Curious Decline Of Linguistic Diversity: Training Language Models On Synthetic Text (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 11 citations
  Guo et al.
• Robustifying Token Attention For Vision Transformers (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 24 citations
  Yong Guo, David Stutz, Bernt Schiele
• Text-to-image Diffusion Models Can Be Easily Backdoored Through Multimodal Data Poisoning (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 33 citations
  Zhai et al.
• Tablegpt: Towards Unifying Tables, Nature Language And Commands Into One GPT (2023) • No Venue
  Zha et al.
• Ziplora: Any Subject In Any Style By Effectively Merging Loras (2023) • No Venue
  Shah et al.
• E^2VPT: An Effective And Efficient Approach For Visual Prompt Tuning (2023) • Arxiv • 10 citations
  Han et al.
• Neural Machine Translation Of Clinical Text: An Empirical Investigation Into Multilingual Pre-trained Language Models And Transfer-learning (2023) • Frontiers in Digital Health • 16 citations
  Han et al.
• Highly Personalized Text Embedding For Image Manipulation By Stable Diffusion (2023) • Arxiv • 10 citations
  Han et al.
• Svdiff: Compact Parameter Space For Diffusion Fine-tuning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 141 citations
  Han et al.
• Understanding In-context Learning Via Supportive Pretraining Data (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Han et al.
• Boosting Large Language Model For Speech Synthesis: An Empirical Study (2023) • No Venue
  Hao et al.
• Vision-language Models Can Identify Distracted Driver Behavior From Naturalistic Videos (2023) • IEEE Transactions on Intelligent Transportation Systems • 42 citations
  Hasan et al.
• Improved Visual Grounding Through Self-consistent Explanations (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  He et al.
• Language Models Get A Gender Makeover: Mitigating Gender Bias With Few-shot Data Interventions (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 18 citations
  Thakur et al.
• Fairness-aware Structured Pruning In Transformers (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Zayed et al.
• Can Programming Languages Boost Each Other Via Instruction Tuning? (2023) • No Venue
  Zan et al.
• CLIP Goes 3D: Leveraging Prompt Tuning For Language Grounded 3D Recognition (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 51 citations
  Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel
• Integrating Pre-trained Speech And Language Models For End-to-end Speech Recognition (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Hono et al.
• SCITUNE: Aligning Large Language Models With Scientific Multimodal Instructions (2023) • Proceedings of the 1st Workshop on NLP for Science (NLP4Science) • 10 citations
  Horawalavithana et al.
• Semivl: Semi-supervised Semantic Segmentation With Vision-language Guidance (2023) • Lecture Notes in Computer Science • 15 citations
  Hoyer et al.
• Distilling Step-by-step! Outperforming Larger Language Models With Less Training Data And Smaller Model Sizes (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 179 citations
  Hsieh et al.
• Llm-adapters: An Adapter Family For Parameter-efficient Fine-tuning Of Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 146 citations
  Hu et al.
• Generative Language Models Exhibit Social Identity Biases (2023) • Nature Computational Science • 44 citations
  Hu et al.
• Reclip: Refine Contrastive Language Image Pre-training With Source Free Domain Adaptation (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 14 citations
  Hu et al.
• RSGPT: A Remote Sensing Vision Language Model And Benchmark (2023) • ISPRS Journal of Photogrammetry and Remote Sensing • 65 citations
  Hu et al.
• VL-PET: Vision-and-language Parameter-efficient Tuning Via Granularity Control (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Hu et al.
• Customization Assistant For Text-to-image Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Zhou et al.
• Automatic Evaluation Of Attribution By Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 22 citations
  Yue et al.
• Acegpt, Localizing Large Language Models In Arabic (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Huang et al.
• Joint Representation Learning For Text And 3D Point Cloud (2023) • Pattern Recognition • 24 citations
  Huang et al.
• Lorahub: Efficient Cross-task Generalization Via Dynamic Lora Composition (2023) • No Venue
  Huang et al.
• Recommender AI Agent: Integrating Large Language Models For Interactive Recommendations (2023) • ACM Transactions on Information Systems • 23 citations
  Huang et al.
• Training-free Lexical Backdoor Attacks On Language Models (2023) • WWW '23: The ACM Web Conference 2023 • 24 citations
  Huang et al.
• Chimed-gpt: A Chinese Medical Large Language Model With Full Training Regime And Better Alignment To Human Preferences (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 23 citations
  Tian et al.
• Fine-tuning Language Models For Factuality (2023) • No Venue
  Tian et al.
• An Empirical Analysis Of Parameter-efficient Methods For Debiasing Pre-trained Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Zhongbin Xie, Thomas Lukasiewicz
• Efficient RLHF: Reducing The Memory Usage Of PPO (2023) • No Venue
  Santacroce et al.
• Carve3d: Improving Multi-view Reconstruction Consistency For Diffusion Models With RL Finetuning (2023) • No Venue
  Xie et al.
• Rlipv2: Fast Scaling Of Relational Language-image Pre-training (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 36 citations
  Yuan et al.
• RAMM: Retrieval-augmented Biomedical Visual Question Answering With Multi-modal Pre-training (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 24 citations
  Yuan et al.
• Scaling Relationship On Learning Mathematical Reasoning With Large Language Models (2023) • No Venue
  Yuan et al.
• Parameter-efficient Transfer Learning For Remote Sensing Image-text Retrieval (2023) • IEEE Transactions on Geoscience and Remote Sensing • 55 citations
  Yuan Yuan, Yang Zhan, Zhitong Xiong
• Instructvideo: Instructing Video Diffusion Models With Human Feedback (2023) • No Venue
  Yuan et al.
• Camels In A Changing Climate: Enhancing LM Adaptation With Tulu 2 (2023) • No Venue
  Ivison et al.
• Parrot: Translating During Chat Using Large Language Models Tuned With Human Translation And Feedback (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Jiao et al.
• Enhancing Zero-shot Crypto Sentiment With Fine-tuned Language Model And Prompt Engineering (2023) • IEEE Access • 19 citations
  Wahidur et al.
• Cotran: An Llm-based Code Translator Using Reinforcement Learning With Feedback From Compiler And Symbolic Execution (2023) • Frontiers in Artificial Intelligence and Applications • 11 citations
  Jana et al.
• An Improved Transformer-based Model For Detecting Phishing, Spam, And Ham: A Large Language Model Approach (2023) • Arxiv • 11 citations
  Suhaima Jamal, Hayden Wimmer
• VMC: Video Motion Customization Using Temporal Attention Adaption For Text-to-video Diffusion Models (2023) • No Venue
  Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye
• A Study On The Implementation Of Generative AI Services Using An Enterprise Data-based LLM Application Architecture (2023) • Advances in Artificial Intelligence and Machine Learning • 65 citations
  Cheonsu Jeong
• Lamini-lm: A Diverse Herd Of Distilled Models From Large-scale Instructions (2023) • Arxiv • 25 citations
  Wu et al.
• Sur-adapter: Enhancing Text-to-image Pre-trained Diffusion Models With Large Language Models (2023) • MM '23: The 31st ACM International Conference on Multimedia • 34 citations
  Zhong et al.
• Dginstyle: Domain-generalizable Semantic Segmentation With Image Diffusion Models And Stylized Semantic Control (2023) • Lecture Notes in Computer Science • 20 citations
  Jia et al.
• Similarity-aware Multimodal Prompt Learning For Fake News Detection (2023) • Information Sciences • 34 citations
  Jiang et al.
• Scaling Sentence Embeddings With Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 23 citations
  Jiang et al.
• Mixphm: Redundancy-aware Parameter-efficient Tuning For Low-resource Visual Question Answering (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Jingjing Jiang, Nanning Zheng
• Motiongpt: Human Motion As A Foreign Language (2023) • No Venue
  Jiang et al.
• The Wall Street Neophyte: A Zero-shot Analysis Of Chatgpt Over Multimodal Stock Movement Prediction Challenges (2023) • Arxiv • 23 citations
  Xie et al.
• UDAPDR: Unsupervised Domain Adaptation Via LLM Prompting And Distillation Of Rerankers (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Saad-Falcon et al.
• Wavecoder: Widespread And Versatile Enhanced Instruction Tuning With Refined Data Generation (2023) • No Venue
  Yu et al.
• Scaling Autoregressive Multi-modal Models: Pretraining And Instruction Tuning (2023) • No Venue
  Yu et al.
• Hyperdreambooth: Hypernetworks For Fast Personalization Of Text-to-image Models (2023) • No Venue
  Ruiz et al.
• Learning Instance-level Representation For Large-scale Multi-modal Pretraining In E-commerce (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Jin et al.
• Audiopalm: A Large Language Model That Can Speak And Listen (2023) • No Venue
  Rubenstein et al.
• Metamath: Bootstrap Your Own Mathematical Questions For Large Language Models (2023) • No Venue
  Yu et al.
• Knowledge Editing For Large Language Models: A Survey (2023) • ACM Computing Surveys • 31 citations
  Wang et al.
• Semeval-2023 Task 7: Multi-evidence Natural Language Inference For Clinical Trial Data (2023) • Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) • 28 citations
  Jullien et al.
• Federated Foundation Models: Privacy-preserving And Collaborative Learning For Large Models (2023) • Arxiv • 16 citations
  Sixing Yu, J. Pablo Muñoz, Ali Jannesari
• Multi-lingual And Multi-cultural Figurative Language Understanding (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 14 citations
  Kabra et al.
• What's "up" With Vision-language Models? Investigating Their Struggle With Spatial Reasoning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Amita Kamath, Jack Hessel, Kai-Wei Chang
• Sorted Llama: Unlocking The Potential Of Intermediate Layers Of Large Language Models For Dynamic Inference Using Sorted Fine-tuning (soft) (2023) • No Venue
  Kavehzadeh et al.
• VILA: Learning Image Aesthetics From User Comments With Vision-language Pretraining (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 69 citations
  Ke et al.
• Chunk-based Nearest Neighbor Machine Translation (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Pedro Henrique Martins, Zita Marinho, André F. T. Martins
• Efficient Machine Translation Domain Adaptation (2022) • Proceedings of the 1st Workshop on Semiparametric Methods in NLP: Decoupling Logic from Knowledge • 17 citations
  Pedro Henrique Martins, Zita Marinho, André F. T. Martins
• FLAME: Free-form Language-based Motion Synthesis & Editing (2022) • Proceedings of the AAAI Conference on Artificial Intelligence • 117 citations
  Jihoon Kim, Jiseob Kim, Sungjoon Choi
• On Robust Prefix-tuning For Text Classification (2022) • Arxiv • 10 citations
  Zonghan Yang, Yang Liu
• Transformer-based Approaches For Legal Text Processing (2022) • The Review of Socionetwork Strategies • 13 citations
  Nguyen et al.
• ESGBERT: Language Model To Help With Classification Tasks Related To Companies Environmental, Social, And Governance Practices (2022) • 11th International Conference on Embedded Systems and Applications (EMSA 2022) • 15 citations
  Srishti Mehra, Robert Louka, Yixun Zhang
• Tailor: A Prompt-based Approach To Attribute-based Controlled Text Generation (2022) • Arxiv • 20 citations
  Yang et al.
• Prompt Tuning For Generative Multimodal Pretrained Models (2022) • Arxiv • 19 citations
  Yang et al.
• C3: Continued Pretraining With Contrastive Weak Supervision For Cross Language Ad-hoc Retrieval (2022) • SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval • 12 citations
  Yang et al.
• KGLM: Integrating Knowledge Graph Structure In Language Models For Link Prediction (2022) • Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023) • 17 citations
  Jason Youn, Ilias Tagkopoulos
• Prompt Tuning For Discriminative Pre-trained Language Models (2022) • Findings of the Association for Computational Linguistics: ACL 2022 • 28 citations
  Yao et al.
• Zero-shot Query Contextualization For Conversational Search (2022) • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval • 15 citations
  Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
• Mucot: Multilingual Contrastive Training For Question-answering In Low-resource Languages (2022) • Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages • 11 citations
  Kumar et al.
• Simlm: Pre-training With Representation Bottleneck For Dense Passage Retrieval (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 31 citations
  Wang et al.
• The Optimal BERT Surgeon: Scalable And Accurate Second-order Pruning For Large Language Models (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 39 citations
  Kurtic et al.
• Mitigating Toxic Degeneration With Empathetic Data: Exploring The Relationship Between Toxicity And Empathy (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 10 citations
  Lahnala et al.
• Improving Fine-tuning Of Self-supervised Models With Contrastive Initialization (2022) • Neural Networks • 18 citations
  Pan et al.
• Match-prompt: Improving Multi-task Generalization Ability For Neural Text Matching Via Prompt Learning (2022) • CIKM '22: The 31st ACM International Conference on Information and Knowledge Management • 13 citations
  Xu et al.
• Domain-oriented Prefix-tuning: Towards Efficient And Generalizable Fine-tuning For Zero-shot Dialogue Summarization (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 12 citations
  Zhao et al.
• Pre-trained Language Models Can Be Fully Zero-shot Learners (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Zhao et al.
• Overcoming Catastrophic Forgetting In Zero-shot Cross-lingual Generation (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Vu et al.
• Cocoa-mt: A Dataset And Benchmark For Contrastive Controlled MT With Application To Formality (2022) • Findings of the Association for Computational Linguistics: NAACL 2022 • 17 citations
  Nădejde et al.
• Prompt-aligned Gradient For Prompt Tuning (2022) • Arxiv • 17 citations
  Zhu et al.
• Leveraging Unimodal Self-supervised Learning For Multimodal Audio-visual Speech Recognition (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 42 citations
  Pan et al.
• Indicxnli: Evaluating Multilingual Inference For Indian Languages (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan
• Parameter-efficient Abstractive Question Answering Over Tables Or Text (2022) • Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering • 11 citations
  Vaishali Pal, Evangelos Kanoulas, Maarten de Rijke
• Geodesic Multi-modal Mixup For Robust Fine-tuning (2022) • Arxiv • 11 citations
  Oh et al.
• Input-tuning: Adapting Unfamiliar Inputs To Frozen Pretrained Models (2022) • Arxiv • 12 citations
  An et al.
• Context-tuning: Learning Contextualized Prompts For Natural Language Generation (2022) • Arxiv • 12 citations
  Tang et al.
• Making Pre-trained Language Models End-to-end Few-shot Learners With Contrastive Prompt Tuning (2022) • WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining • 17 citations
  Xu et al.
• ATTEMPT: Parameter-efficient Multi-task Tuning Via Attentional Mixtures Of Soft Prompts (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 52 citations
  Asai et al.
• Multiinstruct: Improving Multi-modal Zero-shot Learning Via Instruction Tuning (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 18 citations
  Zhiyang Xu, Ying Shen, Lifu Huang
• Probing Speech Emotion Recognition Transformers For Linguistic Knowledge (2022) • Interspeech 2022 • 17 citations
  Triantafyllopoulos et al.
• Exploring The Universal Vulnerability Of Prompt-based Learning Paradigm (2022) • Findings of the Association for Computational Linguistics: NAACL 2022 • 39 citations
  Xu et al.
• Graph Pre-training For AMR Parsing And Generation (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 62 citations
  Xuefeng Bai, Yulong Chen, Yue Zhang
• Rescorebert: Discriminative Speech Recognition Rescoring With BERT (2022) • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 32 citations
  Xu et al.
• Probing Pretrained Models Of Source Code (2022) • Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP • 18 citations
  Sergey Troshin, Nadezhda Chirkova
• Quark: Controllable Text Generation With Reinforced Unlearning (2022) • NeurIPS 2022 (Oral Selection) • 45 citations
  Lu et al.
• Privately Fine-tuning Large Language Models With Differential Privacy (2022) • 2022 IEEE International Conference on Data Mining Workshops (ICDMW) • 38 citations
  Behnia et al.
• Visual Query Tuning: Towards Effective Usage Of Intermediate Representations For Parameter And Memory Efficient Transfer Learning (2022) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 36 citations
  Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
• LST: Ladder Side-tuning For Parameter And Memory Efficient Transfer Learning (2022) • Arxiv • 79 citations
  Yi-Lin Sung, Jaemin Cho, Mohit Bansal
• GPT Takes The Bar Exam (2022) • SSRN Electronic Journal • 96 citations
  Michael Bommarito, Daniel Martin Katz
• Looking For A Handsome Carpenter! Debiasing GPT-3 Job Advertisements (2022) • Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP) • 20 citations
  Borchers et al.
• Petals: Collaborative Inference And Fine-tuning Of Large Models (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 27 citations
  Borzunov et al.
• Vision-and-language Pretrained Models: A Survey (2022) • Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22} • 22 citations
  Long et al.
• Efficient Few-shot Fine-tuning For Opinion Summarization (2022) • Findings of the Association for Computational Linguistics: NAACL 2022 • 12 citations
  Bražinskas et al.
• Do Transformer Models Show Similar Attention Patterns To Task-specific Human Gaze? (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Brandl et al.
• Efficientvlm: Fast And Accurate Vision-language Models Via Knowledge Distillation And Modal-adaptive Pruning (2022) • Findings of the Association for Computational Linguistics: ACL 2023 • 17 citations
  Wang et al.
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  Luo et al.
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  Nelson F. Liu, Roy Schwartz, Noah A. Smith
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  Kun Qian, Zhou Yu
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  Eisenschlos et al.
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  Yuki Arase, Junichi Tsujii
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• LXMERT: Learning Cross-modality Encoder Representations From Transformers (2019) • Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) • 1344 citations
  Hao Tan, Mohit Bansal
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  Kudugunta et al.
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• Simple, Scalable Adaptation For Neural Machine Translation (2019) • Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) • 85 citations
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• A Surprisingly Robust Trick For Winograd Schema Challenge (2019) • Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics • 14 citations
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In Context Learning 332 papers #

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  Wang et al.
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  Wu et al.
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  Wu et al.
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  Wurgaft et al.
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  Nie et al.
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  Pang et al.
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  Peng et al.
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  Rieff et al.
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  Vishnu Sarukkai, Zhiqiang Xie, Kayvon Fatahalian
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  Seleznyov et al.
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  Su et al.
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  Tong et al.
• Measuring General Intelligence With Generated Games (2025) • No Venue
  Verma et al.
• Vfxmaster: Unlocking Dynamic Visual Effect Generation Via In-context Learning (2025) • No Venue
  Li et al.
• Omnipsd: Layered PSD Generation With Diffusion Transformer (2025) • No Venue
  Liu et al.
• Sibyl: Simple Yet Effective Agent Framework For Complex Real-world Reasoning (2024) • No Venue
  Wang et al.
• Llms In The Imaginarium: Tool Learning Through Simulated Trial And Error (2024) • No Venue
  Wang et al.
• Chain-of-table: Evolving Tables In The Reasoning Chain For Table Understanding (2024) • No Venue
  Wang et al.
• Everything Everywhere All At Once: Llms Can In-context Learn Multiple Tasks In Superposition (2024) • No Venue
  Xiong et al.
• Spirit-lm: Interleaved Spoken And Written Language Model (2024) • No Venue
  Nguyen et al.
• Can Large Language Models Understand Context? (2024) • No Venue
  Zhu et al.
• Compositional Text-to-image Generation With Dense Blob Representations (2024) • No Venue
  Nie et al.
• Xland-100b: A Large-scale Multi-task Dataset For In-context Reinforcement Learning (2024) • No Venue
  Nikulin et al.
• Knowledge Distillation In Automated Annotation: Supervised Text Classification With Llm-generated Training Labels (2024) • Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024) • 15 citations
  Nicholas Pangakis, Samuel Wolken
• Can Mamba Learn How To Learn? A Comparative Study On In-context Learning Tasks (2024) • No Venue
  Park et al.
• "in-context Learning" Or: How I Learned To Stop Worrying And Love "applied Information Retrieval" (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 10 citations
  Andrew Parry, Debasis Ganguly, Manish Chandra
• Revisiting Verilogeval: A Year Of Improvements In Large-language Models For Hardware Code Generation (2024) • ACM Transactions on Design Automation of Electronic Systems • 10 citations
  Pinckney et al.
• In-context Editing: Learning Knowledge From Self-induced Distributions (2024) • No Venue
  Qi et al.
• Interactive Continual Learning: Fast And Slow Thinking (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Qi et al.
• Interactive-kbqa: Multi-turn Interactions For Knowledge Base Question Answering With Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 20 citations
  Guanming Xiong, Junwei Bao, Wen Zhao
• Before Generation, Align It! A Novel And Effective Strategy For Mitigating Hallucinations In Text-to-sql Generation (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Qu et al.
• Vhdl-eval: A Framework For Evaluating Large Language Models In VHDL Code Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 12 citations
  Vijayaraghavan et al.
• Sketchagent: Language-driven Sequential Sketch Generation (2024) • No Venue
  Vinker et al.
• Spreadsheetllm: Encoding Spreadsheets For Large Language Models (2024) • No Venue
  Tian et al.
• From Words To Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-context Examples (2024) • No Venue
  Vacareanu et al.
• Evidence-backed Fact Checking Using RAG And Few-shot In-context Learning With Llms (2024) • Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER) • 10 citations
  Singhal et al.
• Video As The New Language For Real-world Decision Making (2024) • No Venue
  Yang et al.
• Unsupervised Information Refinement Training Of Large Language Models For Retrieval-augmented Generation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Xu et al.
• Funaudiollm: Voice Understanding And Generation Foundation Models For Natural Interaction Between Humans And Llms (2024) • No Venue
  Tongyi Speechteam
• Large Language Models Enhanced Collaborative Filtering (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 12 citations
  Sun et al.
• X-prompt: Towards Universal In-context Image Generation In Auto-regressive Vision Language Foundation Models (2024) • No Venue
  Sun et al.
• Do Large Language Models Latently Perform Multi-hop Reasoning? (2024) • No Venue
  Yang et al.
• Using Multimodal Large Language Models For Automated Detection Of Traffic Safety Critical Events (2024) • Vehicles • 42 citations
  Mohammad Abu Tami, Huthaifa I. Ashqar, Mohammed Elhenawy
• Lloco: Learning Long Contexts Offline (2024) • No Venue
  Tan et al.
• Beyond Examples: High-level Automated Reasoning Paradigm In In-context Learning Via MCTS (2024) • No Venue
  Wu et al.
• Automated Data Visualization From Natural Language Via Large Language Models: An Exploratory Study (2024) • Proceedings of the ACM on Management of Data • 24 citations
  Wu et al.
• Decomposition For Enhancing Attention: Improving Llm-based Text-to-sql Through Workflow Paradigm (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 21 citations
  Xie et al.
• Capabilities Of Gemini Models In Medicine (2024) • No Venue
  Saab et al.
• Lawllm: Law Large Language Model For The US Legal System (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 26 citations
  Shu et al.
• A Dataset And Benchmark For Hospital Course Summarization With Adapted Large Language Models (2024) • Journal of the American Medical Informatics Association • 17 citations
  Aali et al.
• Linear Transformers With Learnable Kernel Functions Are Better In-context Models (2024) • No Venue
  Aksenov et al.
• Seed-tts: A Family Of High-quality Versatile Speech Generation Models (2024) • No Venue
  Anastassiou et al.
• Intent Detection In The Age Of Llms (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track • 10 citations
  Gaurav Arora, Shreya Jain, Srujana Merugu
• Bento: Benchmark Task Reduction With In-context Transferability (2024) • No Venue
  Zhao et al.
• Revisiting In-context Learning With Long Context Language Models (2024) • No Venue
  Baek et al.
• Longbench V2: Towards Deeper Understanding And Reasoning On Realistic Long-context Multitasks (2024) • No Venue
  Bai et al.
• What Makes Multimodal In-context Learning Work? (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 19 citations
  Baldassini et al.
• Ultraedit: Instruction-based Fine-grained Image Editing At Scale (2024) • No Venue
  Zhao et al.
• Universal Vulnerabilities In Large Language Models: Backdoor Attacks For In-context Learning (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Zhao et al.
• Visual In-context Learning For Large Vision-language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 17 citations
  Zhou et al.
• Llms Are Few-shot In-context Low-resource Language Learners (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
  Samuel Cahyawijaya, Holy Lovenia, Pascale Fung
• Diffusion Self-distillation For Zero-shot Customized Image Generation (2024) • No Venue
  Cai et al.
• A Survey On Mixture Of Experts In Large Language Models (2024) • IEEE Transactions on Knowledge and Data Engineering • 36 citations
  Cai et al.
• Retrieval-style In-context Learning For Few-shot Hierarchical Text Classification (2024) • Transactions of the Association for Computational Linguistics • 12 citations
  Chen et al.
• Mg-verilog: Multi-grained Dataset Towards Enhanced Llm-assisted Verilog Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 38 citations
  Zhang et al.
• Linkner: Linking Local Named Entity Recognition Models To Large Language Models Using Uncertainty (2024) • WWW '24: The ACM Web Conference 2024 • 22 citations
  Zhang et al.
• In-context Principle Learning From Mistakes (2024) • No Venue
  Zhang et al.
• How Far Are We From Intelligent Visual Deductive Reasoning? (2024) • No Venue
  Zhang et al.
• Efficiently Exploring Large Language Models For Document-level Machine Translation With In-context Learning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Cui et al.
• Understanding Biases In Chatgpt-based Recommender Systems: Provider Fairness, Temporal Stability, And Recency (2024) • ACM Transactions on Recommender Systems • 29 citations
  Yashar Deldjoo
• Causal Diffusion Transformers For Generative Modeling (2024) • No Venue
  Deng et al.
• Visual Reasoning And Multi-agent Approach In Multimodal Large Language Models (mllms): Solving TSP And Mtsp Combinatorial Challenges (2024) • Machine Learning and Knowledge Extraction • 16 citations
  Elhenawy et al.
• Can Large Language Models Beat Wall Street? Unveiling The Potential Of AI In Stock Selection (2024) • SSRN Electronic Journal • 14 citations
  Fatouros et al.
• Exploring Automated Distractor Generation For Math Multiple-choice Questions Via Large Language Models (2024) • Findings of the Association for Computational Linguistics: NAACL 2024 • 16 citations
  Feng et al.
• In-context Learning Enables Multimodal Large Language Models To Classify Cancer Pathology Images (2024) • Nature Communications • 93 citations
  Ferber et al.
• Moscar: A Large-scale Multilingual And Multimodal Document-level Corpus (2024) • No Venue
  Futeral et al.
• Enhancing Knowledge Retrieval With In-context Learning And Semantic Search Through Generative AI (2024) • Knowledge-Based Systems • 19 citations
  Ghali et al.
• Alpapico: Extraction Of PICO Frames From Clinical Trial Documents Using Llms (2024) • Methods • 17 citations
  Ghosh et al.
• COA-GPT: Generative Pre-trained Transformers For Accelerated Course Of Action Development In Military Operations (2024) • 2024 International Conference on Military Communication and Information Systems (ICMCIS) • 17 citations
  Vinicius G. Goecks, Nicholas Waytowich
• Scaling Diffusion Language Models Via Adaptation From Autoregressive Models (2024) • No Venue
  Gong et al.
• Emergence Of Abstractions: Concept Encoding And Decoding Mechanism For In-context Learning In Transformers (2024) • No Venue
  Han et al.
• Inference Scaling For Long-context Retrieval Augmented Generation (2024) • No Venue
  Yue et al.
• In-context Example Selection Via Similarity Search Improves Low-resource Machine Translation (2024) • No Venue
  Armel Zebaze, Benoît Sagot, Rachel Bawden
• Mitigating Catastrophic Forgetting In Large Language Models With Self-synthesized Rehearsal (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Huang et al.
• Symdpo: Boosting In-context Learning Of Large Multimodal Models With Symbol Demonstration Direct Preference Optimization (2024) • No Venue
  Jia et al.
• Many-shot In-context Learning In Multimodal Foundation Models (2024) • No Venue
  Jiang et al.
• The Impact Of Reasoning Step Length On Large Language Models (2024) • No Venue
  Jin et al.
• MEDIC: Towards A Comprehensive Framework For Evaluating Llms In Clinical Applications (2024) • No Venue
  Kanithi et al.
• Comprehensive Evaluation And Insights Into The Use Of Large Language Models In The Automation Of Behavior-driven Development Acceptance Test Formulation (2024) • IEEE Access • 19 citations
  Karpurapu et al.
• Videoicl: Confidence-based Iterative In-context Learning For Out-of-distribution Video Understanding (2024) • No Venue
  Kim et al.
• A Superalignment Framework In Autonomous Driving With Large Language Models (2024) • 2024 IEEE Intelligent Vehicle Symposium (IV) • 10 citations
  Kong et al.
• Audio Flamingo: A Novel Audio Language Model With Few-shot Learning And Dialogue Abilities (2024) • No Venue
  Kong et al.
• Traj-llm: A New Exploration For Empowering Trajectory Prediction With Pre-trained Large Language Models (2024) • IEEE Transactions on Intelligent Vehicles • 33 citations
  Lan et al.
• Internlm-math: Open Math Large Language Models Toward Verifiable Reasoning (2024) • No Venue
  Ying et al.
• Large Language Models As Evolution Strategies (2024) • GECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion • 28 citations
  Robert Tjarko Lange, Yingtao Tian, Yujin Tang
• Chatsumo: Large Language Model For Automating Traffic Scenario Generation In Simulation Of Urban Mobility (2024) • IEEE Transactions on Intelligent Vehicles • 20 citations
  Shuyang Li, Talha Azfar, Ruimin Ke
• Drattack: Prompt Decomposition And Reconstruction Makes Powerful LLM Jailbreakers (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 10 citations
  Li et al.
• Making Text Embedders Few-shot Learners (2024) • No Venue
  Li et al.
• Long-context Llms Struggle With Long In-context Learning (2024) • No Venue
  Li et al.
• Omniactions: Predicting Digital Actions In Response To Real-world Multimodal Sensory Inputs With Llms (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 19 citations
  Li et al.
• Omnicorpus: A Unified Multimodal Corpus Of 10 Billion-level Images Interleaved With Text (2024) • No Venue
  Li et al.
• Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel In Long-horizon Tasks (2024) • No Venue
  Li et al.
• Differential Transformer (2024) • No Venue
  Ye et al.
• Learning To Learn Faster From Human Feedback With Language Model Predictive Control (2024) • No Venue
  Liang et al.
• Mala-500: Massive Language Adaptation Of Large Language Models (2024) • No Venue
  Lin et al.
• Uncertainty Quantification For In-context Learning Of Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 15 citations
  Ling et al.
• Aligning Teacher With Student Preferences For Tailored Training Data Generation (2024) • No Venue
  Liu et al.
• Mibench: Evaluating Multimodal Large Language Models Over Multiple Images (2024) • No Venue
  Liu et al.
• MOKA: Open-world Robotic Manipulation Through Mark-based Visual Prompting (2024) • Robotics: Science and Systems 2024 • 23 citations
  Liu et al.
• Propertygpt: Llm-driven Formal Verification Of Smart Contracts Through Retrieval-augmented Property Generation (2024) • Network and Distributed System Security Symposium • 27 citations
  Liu et al.
• Xgen-mm (BLIP-3): A Family Of Open Large Multimodal Models (2024) • No Venue
  Xue et al.
• KICGPT: Large Language Model With Knowledge In Context For Knowledge Graph Completion (2024) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 38 citations
  Wei et al.
• A Controlled Study On Long Context Extension And Generalization In Llms (2024) • No Venue
  Lu et al.
• Unveiling The Generalization Power Of Fine-tuned Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 22 citations
  Yang et al.
• WILBUR: Adaptive In-context Learning For Robust And Accurate Web Agents (2024) • No Venue
  Lutz et al.
• Foundation Models For Music: A Survey (2024) • No Venue
  Ma et al.
• TR2MTL: LLM Based Framework For Metric Temporal Logic Formalization Of Traffic Rules (2024) • 2024 IEEE Intelligent Vehicle Symposium (IV) • 22 citations
  Kumar Manas, Stefan Zwicklbauer, Adrian Paschke
• MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training (2024) • No Venue
  McKinzie et al.
• C-ICL: Contrastive In-context Learning For Information Extraction (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 12 citations
  Mo et al.
• Xc-cache: Cross-attending To Cached Context For Efficient LLM Inference (2024) • No Venue
  Monteiro et al.
• Clinical Insights: A Comprehensive Review Of Language Models In Medicine (2024) • PLOS Digital Health • 10 citations
  Nikita Neveditsin, Pawan Lingras, Vijay Mago
• VL-GPT: A Generative Pre-trained Transformer For Vision And Language Understanding And Generation (2023) • No Venue
  Zhu et al.
• Small Models Are Valuable Plug-ins For Large Language Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 24 citations
  Xu et al.
• Label Words Are Anchors: An Information Flow Perspective For Understanding In-context Learning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 25 citations
  Wang et al.
• Fact-checking Complex Claims With Program-guided Reasoning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 36 citations
  Pan et al.
• Learning To Retrieve In-context Examples For Large Language Models (2023) • No Venue
  Liang Wang, Nan Yang, Furu Wei
• What In-context Learning "learns" In-context: Disentangling Task Recognition And Task Learning (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 14 citations
  Pan et al.
• Uncovering Mesa-optimization Algorithms In Transformers (2023) • No Venue
  Oswald et al.
• How To Unleash The Power Of Large Language Models For Few-shot Relation Extraction? (2023) • Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) • 22 citations
  Xu et al.
• Neural Codec Language Models Are Zero-shot Text To Speech Synthesizers (2023) • IEEE Transactions on Audio, Speech and Language Processing • 57 citations
  Wang et al.
• \(k\)nn Prompting: Beyond-context Learning With Calibration-free Nearest Neighbor Inference (2023) • ICLR 2023 • 12 citations
  Xu et al.
• Chatanything: Facetime Chat With Llm-enhanced Personas (2023) • No Venue
  Zhao et al.
• Can We Edit Factual Knowledge By In-context Learning? (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 32 citations
  Zheng et al.
• Human-timescale Adaptation In An Open-ended Task Space (2023) • Arxiv • 22 citations
  Team et al.
• Large Language Models Can Be Lazy Learners: Analyze Shortcuts In In-context Learning (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 20 citations
  Tang et al.
• Gated Recurrent Neural Networks Discover Attention (2023) • No Venue
  Zucchet et al.
• Codi-2: In-context, Interleaved, And Interactive Any-to-any Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Tang et al.
• Steering Large Language Models For Machine Translation With Finetuning And In-context Learning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Alves et al.
• How Do In-context Examples Affect Compositional Generalization? (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  An et al.
• Explainable Claim Verification Via Knowledge-grounded Reasoning With Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Haoran Wang, Kai Shu
• Hyenadna: Long-range Genomic Sequence Modeling At Single Nucleotide Resolution (2023) • No Venue
  Nguyen et al.
• Using Chatgpt For Entity Matching (2023) • Communications in Computer and Information Science • 26 citations
  Ralph Peeters, Christian Bizer
• Enhancing Few-shot Text-to-sql Capabilities Of Large Language Models: A Study On Prompt Design Strategies (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 31 citations
  Nan et al.
• Language-oriented Communication With Semantic Coding And Knowledge Distillation For Text-to-image Generation (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 25 citations
  Nam et al.
• Towards Making The Most Of Chatgpt For Machine Translation (2023) • SSRN Electronic Journal • 65 citations
  Peng et al.
• In-context Learning For Text Classification With Many Labels (2023) • Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP • 16 citations
  Aristides Milios, Siva Reddy, Dzmitry Bahdanau
• Large Language Models As General Pattern Machines (2023) • No Venue
  Mirchandani et al.
• Generative Speech Recognition Error Correction With Large Language Models And Task-activating Prompting (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 34 citations
  Yang et al.
• Few-shot Fine-tuning Vs. In-context Learning: A Fair Comparison And Evaluation (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 50 citations
  Mosbach et al.
• Are Chatbots Ready For Privacy-sensitive Applications? An Investigation Into Input Regurgitation And Prompt-induced Sanitization (2023) • Arxiv • 11 citations
  Priyanshu et al.
• Symbol Tuning Improves In-context Learning In Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Wei et al.
• Adapt In Contexts: Retrieval-augmented Domain Adaptation Via In-context Learning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Quanyu Long, Wenya Wang, Sinno Jialin Pan
• Are Emergent Abilities In Large Language Models Just In-context Learning? (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 21 citations
  Lu et al.
• Recranker: Instruction Tuning Large Language Model As Ranker For Top-k Recommendation (2023) • ACM Transactions on Information Systems • 12 citations
  Luo et al.
• Chain Of Thought With Explicit Evidence Reasoning For Few-shot Relation Extraction (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Xilai Ma, Jing Li, Min Zhang
• An Iterative Optimizing Framework For Radiology Report Summarization With Chatgpt (2023) • IEEE Transactions on Artificial Intelligence • 50 citations
  Ma et al.
• Eureka: Human-level Reward Design Via Coding Large Language Models (2023) • No Venue
  Ma et al.
• Dolphins: Multimodal Language Model For Driving (2023) • No Venue
  Ma et al.
• Augmenting Language Models With Long-term Memory (2023) • No Venue
  Wang et al.
• Improving Automatic VQA Evaluation Using Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Oscar Mañas, Benno Krojer, Aishwarya Agrawal
• Autotrial: Prompting Language Models For Clinical Trial Design (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Zifeng Wang, Cao Xiao, Jimeng Sun
• Kosmos-2: Grounding Multimodal Large Language Models To The World (2023) • No Venue
  Peng et al.
• Using In-context Learning To Improve Dialogue Safety (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Meade et al.
• FLIRT: Feedback Loop In-context Red Teaming (2023) • No Venue
  Mehrabi et al.
• Diverse Retrieval-augmented In-context Learning For Dialogue State Tracking (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 11 citations
  Brendan King, Jeffrey Flanigan
• CXR-CLIP: Toward Large Scale Chest X-ray Language-image Pre-training (2023) • Lecture Notes in Computer Science • 60 citations
  You et al.
• OUTFOX: Llm-generated Essay Detection Through In-context Learning With Adversarially Generated Examples (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 30 citations
  Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki
• Tptu-v2: Boosting Task Planning And Tool Usage Of Large Language Model-based Agents In Real-world Systems (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track • 10 citations
  Kong et al.
• Benchmarking Cognitive Biases In Large Language Models As Evaluators (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 17 citations
  Koo et al.
• Language To Rewards For Robotic Skill Synthesis (2023) • No Venue
  Yu et al.
• Temporal Knowledge Graph Forecasting Without Knowledge Using In-context Learning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 22 citations
  Lee et al.
• A Survey On Multimodal Large Language Models (2023) • National Science Review • 345 citations
  Yin et al.
• Do Large Language Models Know What They Don't Know? (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 37 citations
  Yin et al.
• MIMIC-IT: Multi-modal In-context Instruction Tuning (2023) • No Venue
  Li et al.
• Empowering Molecule Discovery For Molecule-caption Translation With Large Language Models: A Chatgpt Perspective (2023) • IEEE Transactions on Knowledge and Data Engineering • 42 citations
  Li et al.
• Finding Support Examples For In-context Learning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 18 citations
  Xiaonan Li, Xipeng Qiu
• Few-shot In-context Learning For Knowledge Base Question Answering (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 44 citations
  Li et al.
• How To Configure Good In-context Sequence For Visual Question Answering (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Li et al.
• JEN-1: Text-guided Universal Music Generation With Omnidirectional Diffusion Models (2023) • No Venue
  Li et al.
• Loogle: Can Long-context Language Models Understand Long Contexts? (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 25 citations
  Li et al.
• Semi-automatic Data Enhancement For Document-level Relation Extraction With Distant Supervision From Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Junpeng Li, Zixia Jia, Zilong Zheng
• Textbooks Are All You Need II: Phi-1.5 Technical Report (2023) • No Venue
  Li et al.
• Unified Demonstration Retriever For In-context Learning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 32 citations
  Li et al.
• Layoutllm-t2i: Eliciting Layout Guidance From LLM For Text-to-image Generation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 67 citations
  Qu et al.
• Compositional Exemplars For In-context Learning (2023) • Arxiv • 24 citations
  Ye et al.
• Prompting Large Language Models With Chain-of-thought For Few-shot Knowledge Base Question Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Liang et al.
• Layoutprompter: Awaken The Design Ability Of Large Language Models (2023) • No Venue
  Lin et al.
• The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning (2023) • No Venue
  Lin et al.
• VILA: On Pre-training For Visual Language Models (2023) • No Venue
  Lin et al.
• Exploring Parameter-efficient Fine-tuning Techniques For Code Generation With Large Language Models (2023) • ACM Transactions on Software Engineering and Methodology • 25 citations
  Weyssow et al.
• Calibrating Llm-based Evaluator (2023) • No Venue
  Liu et al.
• Audioldm 2: Learning Holistic Audio Generation With Self-supervised Pretraining (2023) • No Venue
  Liu et al.
• Deja Vu: Contextual Sparsity For Efficient Llms At Inference Time (2023) • No Venue
  Liu et al.
• TCRA-LLM: Token Compression Retrieval Augmented Large Language Model For Inference Cost Reduction (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 17 citations
  Liu et al.
• Harnessing The Power Of Large Language Models For Empathetic Response Generation: Empirical Investigations And Improvements (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 29 citations
  Yushan Qian, Wei-Nan Zhang, Ting Liu
• Tallrec: An Effective And Efficient Tuning Framework To Align Large Language Model With Recommendation (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 271 citations
  Bao et al.
• Explainable Depression Symptom Detection In Social Media (2023) • Health Information Science and Systems • 21 citations
  Eliseo Bao, Anxo Pérez, Javier Parapar
• Exploring Chain-of-thought Style Prompting For Text-to-sql (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Tai et al.
• Link-context Learning For Multimodal Llms (2023) • No Venue
  Tai et al.
• TART: A Plug-and-play Transformer Module For Task-agnostic Reasoning (2023) • No Venue
  Bhatia et al.
• Glitter Or Gold? Deriving Structured Insights From Sustainability Reports Via Large Language Models (2023) • EPJ Data Science • 22 citations
  Bronzini et al.
• Vision Language Models In Autonomous Driving: A Survey And Outlook (2023) • IEEE Transactions on Intelligent Vehicles • 55 citations
  Zhou et al.
• Modular Visual Question Answering Via Code Generation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 20 citations
  Subramanian et al.
• Sql-palm: Improved Large Language Modeladaptation For Text-to-sql (2023) • No Venue
  Sun et al.
• Text Classification Via Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 121 citations
  Sun et al.
• Sqlprompt: In-context Text-to-sql With Minimal Labeled Data (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Sun et al.
• In-context Prompt Editing For Conditional Audio Generation (2023) • No Venue
  Chang et al.
• Selective Demonstrations For Cross-domain Text-to-sql (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Shuaichen Chang, Eric Fosler-Lussier
• SALM: Speech-augmented Language Model With In-context Learning For Speech Recognition And Translation (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 15 citations
  Chen et al.
• The Janus Interface: How Fine-tuning In Large Language Models Amplifies The Privacy Risks (2023) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 16 citations
  Chen et al.
• Subject-driven Text-to-image Generation Via Apprenticeship Learning (2023) • Arxiv • 46 citations
  Chen et al.
• GPT-RE: In-context Learning For Relation Extraction Using Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 119 citations
  Wan et al.
• Batch Prompting: Efficient Inference With Large Language Model Apis (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 26 citations
  Zhoujun Cheng, Jungo Kasai, Tao Yu
• Adapting Language Models To Compress Contexts (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 27 citations
  Chevalier et al.
• What Makes Good Examples For Visual In-context Learning? (2023) • Arxiv • 19 citations
  Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu
• Towards Llm-based Fact Verification On News Claims With A Hierarchical Step-by-step Prompting Method (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 37 citations
  Xuan Zhang, Wei Gao
• Instruct Me More! Random Prompting For Visual In-context Learning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 14 citations
  Zhang et al.
• Llm-in-the-loop: Leveraging Large Language Model For Thematic Analysis (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 43 citations
  Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku
• Mm-narrator: Narrating Long-form Videos With Multimodal In-context Learning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Zhang et al.
• Multilingual Llms Are Better Cross-lingual In-context Learners With Alignment (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Tanwar et al.
• Making Large Language Models Perform Better In Knowledge Graph Completion (2023) • MM '24: The 32nd ACM International Conference on Multimedia • 40 citations
  Zhang et al.
• Language Modeling Is Compression (2023) • No Venue
  Delétang et al.
• Attack Prompt Generation For Red Teaming And Defending Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Deng et al.
• Causallm Is Not Optimal For In-context Learning (2023) • No Venue
  Ding et al.
• Extractive Summarization Via Chatgpt For Faithful Summary Generation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 61 citations
  Haopeng Zhang, Xiao Liu, Jiawei Zhang
• Ensemble Modeling With Contrastive Knowledge Distillation For Sequential Recommendation (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 17 citations
  Du et al.
• ACT-SQL: In-context Learning For Text-to-sql With Automatically-generated Chain-of-thought (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 26 citations
  Zhang et al.
• Uncovering The Potential Of Chatgpt For Discourse Analysis In Dialogue: An Empirical Study (2023) • Arxiv • 12 citations
  Fan et al.
• Cost-effective In-context Learning For Entity Resolution: A Design Space Exploration (2023) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 20 citations
  Fan et al.
• Improving CLIP Training With Language Rewrites (2023) • Arxiv • 35 citations
  Fan et al.
• Mitigating Label Biases For In-context Learning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Fei et al.
• Dysen-vdm: Empowering Dynamics-aware Text-to-video Diffusion With Llms (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Fei et al.
• Scattershot: Interactive In-context Example Curation For Text Transformation (2023) • Proceedings of the 28th International Conference on Intelligent User Interfaces • 21 citations
  Wu et al.
• The Devil Is In The Errors: Leveraging Large Language Models For Fine-grained Machine Translation Evaluation (2023) • Proceedings of the Eighth Conference on Machine Translation • 15 citations
  Fernandes et al.
• Context-aware Meta-learning (2023) • No Venue
  Fifty et al.
• Openicl: An Open-source Framework For In-context Learning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 10 citations
  Wu et al.
• Gpt4aigchip: Towards Next-generation AI Accelerator Design Automation Via Large Language Models (2023) • 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) • 81 citations
  Fu et al.
• In-context Pretraining: Language Modeling Beyond Document Boundaries (2023) • No Venue
  Shi et al.
• Is Chatgpt A Good Causal Reasoner? A Comprehensive Evaluation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 33 citations
  Gao et al.
• Could Small Language Models Serve As Recommenders? Towards Data-centric Cold-start Recommendations (2023) • WWW '24: The ACM Web Conference 2024 • 20 citations
  Wu et al.
• Self-verification Improves Few-shot Clinical Information Extraction (2023) • IMLH 2023 • 18 citations
  Gero et al.
• Wanglab At Mediqa-chat 2023: Clinical Note Generation From Doctor-patient Conversations Using Large Language Models (2023) • Proceedings of the 5th Clinical Natural Language Processing Workshop • 18 citations
  Giorgi et al.
• Mindagent: Emergent Gaming Interaction (2023) • No Venue
  Gong et al.
• Cognitive Reframing Of Negative Thoughts Through Human-language Model Interaction (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Sharma et al.
• Pre-training To Learn In Context (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Gu et al.
• Towards Explainable Conversational Recommender Systems (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 21 citations
  Guo et al.
• Retrieval-augmented Code Generation For Universal Information Extraction (2023) • Lecture Notes in Computer Science • 19 citations
  Guo et al.
• How Well Does Gpt-4v(ision) Adapt To Distribution Shifts? A Preliminary Investigation (2023) • No Venue
  Han et al.
• Potential Benefits Of Employing Large Language Models In Research In Moral Education And Development (2023) • Journal of Moral Education • 11 citations
  Hyemin Han
• Understanding In-context Learning Via Supportive Pretraining Data (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Han et al.
• ICL-D3IE: In-context Learning With Diverse Demonstrations Updating For Document Information Extraction (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 21 citations
  He et al.
• In-context Learning Creates Task Vectors (2023) • No Venue
  Roee Hendel, Mor Geva, Amir Globerson
• Controlled Text Generation With Natural Language Instructions (2023) • Arxiv • 10 citations
  Zhou et al.
• How Far Are Large Language Models From Agents With Theory-of-mind? (2023) • No Venue
  Zhou et al.
• Lorahub: Efficient Cross-task Generalization Via Dynamic Lora Composition (2023) • No Venue
  Huang et al.
• RAVEN: In-context Learning With Retrieval Augmented Encoder-decoder Language Models (2023) • No Venue
  Huang et al.
• Leveraging Large Language Models To Generate Answer Set Programs (2023) • 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023} • 13 citations
  Adam Ishay, Zhun Yang, Joohyung Lee
• Procedural Text Mining With Large Language Models (2023) • K-CAP '23: Knowledge Capture Conference 2023 • 13 citations
  Anisa Rula, Jennifer D'Souza
• Llmlingua: Compressing Prompts For Accelerated Inference Of Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 79 citations
  Jiang et al.
• Scaling Sentence Embeddings With Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 23 citations
  Jiang et al.
• Genegpt: Augmenting Large Language Models With Domain Tools For Improved Access To Biomedical Information (2023) • Bioinformatics • 114 citations
  Jin et al.
• XTREME-UP: A User-centric Scarce-data Benchmark For Under-represented Languages (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Ruder et al.
• Can Language Models Learn From Explanations In Context? (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 62 citations
  Lampinen et al.
• Ground-truth Labels Matter: A Deeper Look Into Input-label Demonstrations (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 19 citations
  Yoo et al.
• Teaching Algorithmic Reasoning Via In-context Learning (2022) • Arxiv • 23 citations
  Zhou et al.
• In-context Examples Selection For Machine Translation (2022) • Arxiv • 17 citations
  Agrawal et al.
• Dynamic Prompt Learning Via Policy Gradient For Semi-structured Mathematical Reasoning (2022) • Arxiv • 41 citations
  Lu et al.
• Black-box Tuning For Language-model-as-a-service (2022) • Arxiv • 56 citations
  Sun et al.
• Rethinking The Role Of Demonstrations: What Makes In-context Learning Work? (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 577 citations
  Min et al.
• Large Language Models Are Few(1)-shot Table Reasoners (2022) • Findings of the Association for Computational Linguistics: EACL 2023 • 47 citations
  Wenhu Chen
• Images Speak In Images: A Generalist Painter For In-context Visual Learning (2022) • Arxiv • 10 citations
  Wang et al.
• Bibert: Accurate Fully Binarized BERT (2022) • International Conference on Learning Representations (ICLR) 2022 • 33 citations
  Qin et al.
• Augmenting Reinforcement Learning With Transformer-based Scene Representation Learning For Decision-making Of Autonomous Driving (2022) • IEEE Transactions on Intelligent Vehicles • 41 citations
  Liu et al.
• Parallel Context Windows For Large Language Models (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 25 citations
  Ratner et al.
• Contrastive Learning For Prompt-based Few-shot Language Learners (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 18 citations
  Yiren Jian, Chongyang Gao, Soroush Vosoughi
• Complementary Explanations For Effective In-context Learning (2022) • Findings of the Association for Computational Linguistics: ACL 2023 • 21 citations
  Ye et al.
• Don't Generate, Discriminate: A Proposal For Grounding Language Models To Real-world Environments (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 26 citations
  Yu Gu, Xiang Deng, Yu Su
• The Unreliability Of Explanations In Few-shot Prompting For Textual Reasoning (2022) • Arxiv • 52 citations
  Xi Ye, Greg Durrett
• Thinking About GPT-3 In-context Learning For Biomedical IE? Think Again (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 50 citations
  Gutiérrez et al.
• Self-adaptive In-context Learning: An Information Compression Perspective For In-context Example Selection And Ordering (2022) • Arxiv • 14 citations
  Wu et al.
• Instruction Induction: From Few Examples To Natural Language Task Descriptions (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Honovich et al.
• In-context Learning For Few-shot Dialogue State Tracking (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 30 citations
  Hu et al.
• Self-supervised Vision-language Pretraining For Medical Visual Question Answering (2022) • 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) • 59 citations
  Li et al.
• Controllable Dialogue Simulation With In-context Learning (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 19 citations
  Li et al.
• Why Can GPT Learn In-context? Language Models Implicitly Perform Gradient Descent As Meta-optimizers (2022) • Findings of the Association for Computational Linguistics: ACL 2023 • 80 citations
  Dai et al.
• A Survey On In-context Learning (2022) • Arxiv • 244 citations
  Dong et al.
• Evaluating The Impact Of Model Scale For Compositional Generalization In Semantic Parsing (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Qiu et al.
• On The Effect Of Pretraining Corpora On In-context Learning By A Large-scale Language Model (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 24 citations
  Shin et al.
• Automatic Short Math Answer Grading Via In-context Meta-learning (2022) • Arxiv • 12 citations
  Zhang et al.
• Active Example Selection For In-context Learning (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 72 citations
  Yiming Zhang, Shi Feng, Chenhao Tan
• UL2: Unifying Language Learning Paradigms (2022) • Arxiv • 97 citations
  Tay et al.
• XRICL: Cross-lingual Retrieval-augmented In-context Learning For Cross-lingual Text-to-sql Semantic Parsing (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 17 citations
  Shi et al.
• Metaicl: Learning To Learn In Context (2021) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 90 citations
  Min et al.
• An Explanation Of In-context Learning As Implicit Bayesian Inference (2021) • Arxiv • 20 citations
  Xie et al.
• Learning To Retrieve Prompts For In-context Learning (2021) • Arxiv • 10 citations
  Ohad Rubin, Jonathan Herzig, Jonathan Berant
• KELM: Knowledge Enhanced Pre-trained Language Representations With Message Passing On Hierarchical Relational Graphs (2021) • ICLR 2022 Workshop on Deep Learning on Graphs for Natural Language Processing2022 • 19 citations
  Lu et al.
• Rethinking Search: Making Domain Experts Out Of Dilettantes (2021) • SIGIR Forum 55 1 Article 13 (June 2021) 27 pages • 20 citations
  Metzler et al.
• What Changes Can Large-scale Language Models Bring? Intensive Study On Hyperclova: Billions-scale Korean Generative Pretrained Transformers (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 43 citations
  Kim et al.
• Noisy Channel Language Model Prompting For Few-shot Text Classification (2021) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 50 citations
  Min et al.

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Model Architecture 1809 papers #

• Beyond Hard Masks: Progressive Token Evolution For Diffusion Language Models (2026) • No Venue
  Zhong et al.
• Behavior Knowledge Merge In Reinforced Agentic Models (2026) • No Venue
  Yuan et al.
• HERMES: KV Cache As Hierarchical Memory For Efficient Streaming Video Understanding (2026) • No Venue
  Zhang et al.
• MHLA: Restoring Expressivity Of Linear Attention Via Token-level Multi-head (2026) • No Venue
  Zhang et al.
• Unix: Unifying Autoregression And Diffusion For Chest X-ray Understanding And Generation (2026) • No Venue
  Zhang et al.
• Post-layernorm Is Back: Stable, Expressive, And Deep (2026) • No Venue
  Chen Chen, Lai Wei
• K-EXAONE Technical Report (2026) • No Venue
  Choi et al.
• Parallel Context-of-experts Decoding For Retrieval Augmented Generation (2026) • No Venue
  Giulio Corallo, Paolo Papotti
• Lol: Longer Than Longer, Scaling Video Generation To Hour (2026) • No Venue
  Cui et al.
• Stable-diffcoder: Pushing The Frontier Of Code Diffusion Large Language Model (2026) • No Venue
  Fan et al.
• SALAD: Achieve High-sparsity Attention Via Efficient Linear Attention Tuning For Video Diffusion Transformer (2026) • No Venue
  Fang et al.
• Plenoptic Video Generation (2026) • No Venue
  Fu et al.
• Unicorn: Towards Self-improving Unified Multimodal Models Through Self-generated Supervision (2026) • No Venue
  Han et al.
• Snapgen++: Unleashing Diffusion Transformers For Efficient High-fidelity Image Generation On Edge Devices (2026) • No Venue
  Hu et al.
• Qwen3-tts Technical Report (2026) • No Venue
  Hu et al.
• Videoar: Autoregressive Video Generation Via Next-frame & Scale Prediction (2026) • No Venue
  Ji et al.
• Latent Adversarial Regularization For Offline Preference Optimization (2026) • No Venue
  Jiang et al.
• Memory-v2v: Augmenting Video-to-video Diffusion Models With Memory (2026) • No Venue
  Lee et al.
• Agencybench: Benchmarking The Frontiers Of Autonomous Agents In 1m-token Real-world Contexts (2026) • No Venue
  Li et al.
• Qwen3-vl-embedding And Qwen3-vl-reranker: A Unified Framework For State-of-the-art Multimodal Retrieval And Ranking (2026) • No Venue
  Li et al.
• Ministral 3 (2026) • No Venue
  Liu et al.
• Scaling Embeddings Outperforms Scaling Experts In Language Models (2026) • No Venue
  Liu et al.
• A Bertology View Of LLM Orchestrations: Token- And Layer-selective Probes For Efficient Single-pass Classification (2026) • No Venue
  Gonzalo Ariel Meyoyan, Luciano del Corro
• Boosting Latent Diffusion Models Via Disentangled Representation Alignment (2026) • No Venue
  Page et al.
• Solar Open Technical Report (2026) • No Venue
  Park et al.
• Typhoon ASR Real-time: Fastconformer-transducer For Thai Automatic Speech Recognition (2026) • No Venue
  Sirichotedumrong et al.
• Rethinking Composed Image Retrieval Evaluation: A Fine-grained Benchmark From Image Editing (2026) • No Venue
  Song et al.
• Elastic Attention: Test-time Adaptive Sparsity Ratios For Efficient Transformers (2026) • No Venue
  Tang et al.
• Falcon-h1r: Pushing The Reasoning Frontiers With A Hybrid Model For Efficient Test-time Scaling (2026) • No Venue
  Team et al.
• Longcat-flash-thinking-2601 Technical Report (2026) • No Venue
  Team et al.
• Cof-t2i: Video Models As Pure Visual Reasoners For Text-to-image Generation (2026) • No Venue
  Tong et al.
• The Illusion Of Specialization: Unveiling The Domain-invariant "standing Committee" In Mixture-of-experts Models (2026) • No Venue
  Wang et al.
• Mimo-v2-flash Technical Report (2026) • No Venue
  Xiao et al.
• Tag-moe: Task-aware Gating For Unified Generative Mixture-of-experts (2026) • No Venue
  Xu et al.
• Omni-weather: Unified Multimodal Foundation Model For Weather Generation And Understanding (2025) • No Venue
  Zhou et al.
• Knocking-heads Attention (2025) • No Venue
  Zhou et al.
• 3DIS-FLUX: Simple And Efficient Multi-instance Generation With Dit Rendering (2025) • No Venue
  Zhou et al.
• Moss-speech: Towards True Speech-to-speech Models Without Text Guidance (2025) • No Venue
  Zhao et al.
• Insights Into Deepseek-v3: Scaling Challenges And Reflections On Hardware For AI Architectures (2025) • No Venue
  Zhao et al.
• Hifi-sr: A Unified Generative Transformer-convolutional Adversarial Network For High-fidelity Speech Super-resolution (2025) • No Venue
  Zhao et al.
• Infllm-v2: Dense-sparse Switchable Attention For Seamless Short-to-long Adaptation (2025) • No Venue
  Zhao et al.
• Paroattention: Pattern-aware Reordering For Efficient Sparse And Quantized Attention In Visual Generation Models (2025) • No Venue
  Zhao et al.
• Ultraimage: Rethinking Resolution Extrapolation In Image Diffusion Transformers (2025) • No Venue
  Zhao et al.
• Ultravico: Breaking Extrapolation Limits In Video Diffusion Transformers (2025) • No Venue
  Zhao et al.
• Marrying Autoregressive Transformer And Diffusion With Multi-reference Autoregression (2025) • No Venue
  Zhen et al.
• Scaling Diffusion Transformers Efficiently Via Μp (2025) • No Venue
  Zheng et al.
• Hybrimoe: Hybrid CPU-GPU Scheduling And Cache Management For Efficient Moe Inference (2025) • No Venue
  Zhong et al.
• 4kagent: Agentic Any Image To 4K Super-resolution (2025) • No Venue
  Zuo et al.
• Worldmm: Dynamic Multimodal Memory Agent For Long Video Reasoning (2025) • No Venue
  Yeo et al.
• Through-the-mask: Mask-based Motion Trajectories For Image-to-video Generation (2025) • No Venue
  Yariv et al.
• Dynvfx: Augmenting Real Videos With Dynamic Content (2025) • No Venue
  Yatim et al.
• Primitiveanything: Human-crafted 3D Primitive Assembly Generation With Auto-regressive Transformer (2025) • No Venue
  Ye et al.
• Llasa: Scaling Train-time And Inference-time Compute For Llama-based Speech Synthesis (2025) • No Venue
  Ye et al.
• Omnivinci: Enhancing Architecture And Data For Omni-modal Understanding LLM (2025) • No Venue
  Ye et al.
• Shapellm-omni: A Native Multimodal LLM For 3D Generation And Understanding (2025) • No Venue
  Ye et al.
• Infinity-rope: Action-controllable Infinite Video Generation Emerges From Autoregressive Self-rollout (2025) • No Venue
  Yesiltepe et al.
• Magicinfinite: Generating Infinite Talking Videos With Your Words And Voice (2025) • No Venue
  Yi et al.
• Consistedit: Highly Consistent And Precise Training-free Visual Editing (2025) • No Venue
  Yin et al.
• REASONEDIT: Towards Reasoning-enhanced Image Editing Models (2025) • No Venue
  Yin et al.
• SAIL-VL2 Technical Report (2025) • No Venue
  Yin et al.
• Training-free Text-guided Color Editing With Multi-modal Diffusion Transformer (2025) • No Venue
  Yin et al.
• Pixeldit: Pixel Diffusion Transformers For Image Generation (2025) • No Venue
  Yu et al.
• How Far Are Vlms From Visual Spatial Intelligence? A Benchmark-driven Perspective (2025) • No Venue
  Yu et al.
• Omnialpha: A Sequence-to-sequence Framework For Unified Multi-task RGBA Generation (2025) • No Venue
  Yu et al.
• Introducing Visual Perception Token Into Multimodal Large Language Model (2025) • No Venue
  Runpeng Yu, Xinyin Ma, Xinchao Wang
• Minicpm-v 4.5: Cooking Efficient Mllms Via Architecture, Data, And Training Recipe (2025) • No Venue
  Yu et al.
• Sliding Window Attention Adaptation (2025) • No Venue
  Yu et al.
• Efficientllm: Efficiency In Large Language Models (2025) • No Venue
  Yuan et al.
• Expert Race: A Flexible Routing Strategy For Scaling Diffusion Transformer With Mixture Of Experts (2025) • No Venue
  Yuan et al.
• Native Sparse Attention: Hardware-aligned And Natively Trainable Sparse Attention (2025) • No Venue
  Yuan et al.
• Falcon-h1: A Family Of Hybrid-head Language Models Redefining Efficiency And Performance (2025) • No Venue
  Zuo et al.
• Rlinf-vla: A Unified And Efficient Framework For VLA+RL Training (2025) • No Venue
  Zang et al.
• Renderformer: Transformer-based Neural Rendering Of Triangle Meshes With Global Illumination (2025) • No Venue
  Zeng et al.
• API Agents Vs. GUI Agents: Divergence And Convergence (2025) • No Venue
  Zhang et al.
• BANG: Dividing 3D Assets Via Generative Exploded Dynamics (2025) • No Venue
  Zhang et al.
• Both Semantics And Reconstruction Matter: Making Representation Encoders Ready For Text-to-image Generation And Editing (2025) • No Venue
  Zhang et al.
• Waver: Wave Your Way To Lifelike Video Generation (2025) • No Venue
  Zhang et al.
• Locality-aware Parallel Decoding For Efficient Autoregressive Image Generation (2025) • No Venue
  Zhang et al.
• Easycontrol: Adding Efficient And Flexible Control For Diffusion Transformer (2025) • No Venue
  Zhang et al.
• Dreamvla: A Vision-language-action Model Dreamed With Comprehensive World Knowledge (2025) • No Venue
  Zhang et al.
• Efficiently Reconstructing Dynamic Scenes One D4RT At A Time (2025) • No Venue
  Zhang et al.
• Llava-mini: Efficient Image And Video Large Multimodal Models With One Vision Token (2025) • No Venue
  Zhang et al.
• Packing Input Frame Context In Next-frame Prediction Models For Video Generation (2025) • No Venue
  Lvmin Zhang, Maneesh Agrawala
• MUG-V 10B: High-efficiency Training Pipeline For Large Video Generation Models (2025) • No Venue
  Zhang et al.
• Pretraining Frame Preservation In Autoregressive Video Memory Compression (2025) • No Venue
  Zhang et al.
• Recursive Language Models (2025) • No Venue
  Alex L. Zhang, Tim Kraska, Omar Khattab
• Show, Tell And Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization (2025) • IEEE Transactions on Circuits and Systems for Video Technology • 35 citations
  Zhang et al.
• Tensor Product Attention Is All You Need (2025) • No Venue
  Zhang et al.
• Tora2: Motion And Appearance Customized Diffusion Transformer For Multi-entity Video Generation (2025) • No Venue
  Zhang et al.
• Training-free Efficient Video Generation Via Dynamic Token Carving (2025) • No Venue
  Zhang et al.
• Mixture Of Global And Local Experts With Diffusion Transformer For Controllable Face Generation (2025) • No Venue
  Zou et al.
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• Findings Of The Second Babylm Challenge: Sample-efficient Pretraining On Developmentally Plausible Corpora (2024) • Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning • 28 citations
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• A Hybrid Transformer And Attention Based Recurrent Neural Network For Robust And Interpretable Sentiment Analysis Of Tweets (2024) • Scientific Reports • 35 citations
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• Fiddler: CPU-GPU Orchestration For Fast Inference Of Mixture-of-experts Models (2024) • No Venue
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• Self-moe: Towards Compositional Large Language Models With Self-specialized Experts (2024) • No Venue
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• Video Depth Without Video Models (2024) • No Venue
  Ke et al.
• Visiongpt-3d: A Generalized Multimodal Agent For Enhanced 3D Vision Understanding (2024) • No Venue
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• Beyondscene: Higher-resolution Human-centric Scene Generation With Pretrained Diffusion (2024) • No Venue
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• Audio Flamingo: A Novel Audio Language Model With Few-shot Learning And Dialogue Abilities (2024) • No Venue
  Kong et al.
• Transllama: Llm-based Simultaneous Translation System (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 11 citations
  Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura
• Arabiangpt: Native Arabic Gpt-based Large Language Model (2024) • Arxiv • 12 citations
  Koubaa et al.
• Scaling Laws For Fine-grained Mixture Of Experts (2024) • No Venue
  Krajewski et al.
• Efficiently Distilling Llms For Edge Applications (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track) • 10 citations
  Kundu et al.
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  Yona et al.
• Ln3diff: Scalable Latent Neural Fields Diffusion For Speedy 3D Generation (2024) • No Venue
  Lan et al.
• Human Evaluation Of English--irish Transformer-based NMT (2024) • Information • 12 citations
  Séamus Lankford, Haithem Afli, Andy Way
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• Nv-embed: Improved Techniques For Training Llms As Generalist Embedding Models (2024) • No Venue
  Lee et al.
• Groundit: Grounding Diffusion Transformers Via Noisy Patch Transplantation (2024) • No Venue
  Phillip Y. Lee, Taehoon Yoon, Minhyuk Sung
• Look Every Frame All At Once: Video-ma^2mba For Efficient Long-form Video Understanding With Multi-axis Gradient Checkpointing (2024) • No Venue
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• Moai: Mixture Of All Intelligence For Large Language And Vision Models (2024) • No Venue
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• Beyond A*: Better Planning With Transformers Via Search Dynamics Bootstrapping (2024) • No Venue
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• Songcreator: Lyrics-based Universal Song Generation (2024) • No Venue
  Lei et al.
• Selective Attention Improves Transformer (2024) • No Venue
  Yaniv Leviathan, Matan Kalman, Yossi Matias
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• Aria: An Open Multimodal Native Mixture-of-experts Model (2024) • No Venue
  Li et al.
• Codes: Towards Building Open-source Language Models For Text-to-sql (2024) • Proceedings of the ACM on Management of Data • 55 citations
  Li et al.
• Dual3d: Efficient And Consistent Text-to-3d Generation With Dual-mode Multi-view Latent Diffusion (2024) • No Venue
  Li et al.
• Do Vision-language Transformers Exhibit Visual Commonsense? An Empirical Study Of VCR (2024) • MM '23: The 31st ACM International Conference on Multimedia • 10 citations
  Li et al.
• Exploring Diverse Methods In Visual Question Answering (2024) • 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) • 42 citations
  Li et al.
• Focusllm: Scaling Llm's Context By Parallel Decoding (2024) • No Venue
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• Making Text Embedders Few-shot Learners (2024) • No Venue
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• Scaling (down) CLIP: A Comprehensive Analysis Of Data, Architecture, And Training Strategies (2024) • No Venue
  Zichao Li, Cihang Xie, Ekin Dogus Cubuk
• Your Mixture-of-experts LLM Is Secretly An Embedding Model For Free (2024) • No Venue
  Ziyue Li, Tianyi Zhou
• TPI-LLM: Serving 70b-scale Llms Efficiently On Low-resource Edge Devices (2024) • No Venue
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• Taptrv2: Attention-based Position Update Improves Tracking Any Point (2024) • No Venue
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• Synergen-vl: Towards Synergistic Image Understanding And Generation With Vision Experts And Token Folding (2024) • No Venue
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• Wolf: Captioning Everything With A World Summarization Framework (2024) • No Venue
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• UNIMO-G: Unified Image Generation Through Multimodal Conditional Diffusion (2024) • No Venue
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• Uni-moe: Scaling Unified Multimodal Llms With Mixture Of Experts (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 22 citations
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• Unbounded: A Generative Infinite Game Of Character Life Simulation (2024) • No Venue
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• Unipose: A Unified Multimodal Framework For Human Pose Comprehension, Generation And Editing (2024) • No Venue
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• Differential Transformer (2024) • No Venue
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• Chunkattention: Efficient Self-attention With Prefix-aware KV Cache And Two-phase Partition (2024) • No Venue
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• Mixture-of-transformers: A Sparse And Scalable Architecture For Multi-modal Foundation Models (2024) • No Venue
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• Multi-layer Transformers Gradient Can Be Approximated In Almost Linear Time (2024) • No Venue
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• WAFFLE: Multi-modal Model For Automated Front-end Development (2024) • No Venue
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• Objectmate: A Recurrence Prior For Object Insertion And Subject-driven Generation (2024) • No Venue
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• Jamba: A Hybrid Transformer-mamba Language Model (2024) • No Venue
  Lieber et al.
• Rs-moe: A Vision-language Model With Mixture Of Experts For Remote Sensing Image Captioning And Visual Question Answering (2024) • IEEE Transactions on Geoscience and Remote Sensing • 15 citations
  Lin et al.
• From Elements To Design: A Layered Approach For Automatic Graphic Design Composition (2024) • No Venue
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• Moe-llava: Mixture Of Experts For Large Vision-language Models (2024) • No Venue
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• Moma: Efficient Early-fusion Pre-training With Mixture Of Modality-aware Experts (2024) • No Venue
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• Open-sora Plan: Open-source Large Video Generation Model (2024) • No Venue
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• STIV: Scalable Text And Image Conditioned Video Generation (2024) • No Venue
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• Alleviating Distortion In Image Generation Via Multi-resolution Diffusion Models (2024) • No Venue
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• Deliberation In Latent Space Via Differentiable Cache Augmentation (2024) • No Venue
  Liu et al.
• Chatqa: Building GPT-4 Level Conversational QA Models (2024) • No Venue
  Liu et al.
• CLEAR: Conv-like Linearization Revs Pre-trained Diffusion Transformers Up (2024) • No Venue
  Songhua Liu, Zhenxiong Tan, Xinchao Wang
• GRIN: Gradient-informed Moe (2024) • No Venue
  Liu et al.
• Green AI: Exploring Carbon Footprints, Mitigation Strategies, And Trade Offs In Large Language Model Training (2024) • Discover Artificial Intelligence • 39 citations
  Vivian Liu, Yiqiao Yin
• Flowing From Words To Pixels: A Framework For Cross-modality Evolution (2024) • No Venue
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• Infimm-hd: A Leap Forward In High-resolution Multimodal Understanding (2024) • No Venue
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• Kangaroo: Lossless Self-speculative Decoding Via Double Early Exiting (2024) • No Venue
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• KAN: Kolmogorov-arnold Networks (2024) • No Venue
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• Linrec: Linear Attention Mechanism For Long-term Sequential Recommender Systems (2024) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 57 citations
  Liu et al.
• Linfusion: 1 GPU, 1 Minute, 16K Image (2024) • No Venue
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• Mobilellm: Optimizing Sub-billion Parameter Language Models For On-device Use Cases (2024) • No Venue
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• Oryx MLLM: On-demand Spatial-temporal Understanding At Arbitrary Resolution (2024) • No Venue
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• NVILA: Efficient Frontier Visual Language Models (2024) • No Venue
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• Part123: Part-aware 3D Reconstruction From A Single-view Image (2024) • No Venue
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• Pite: Pixel-temporal Alignment For Large Video-language Model (2024) • No Venue
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• Ppllava: Varied Video Sequence Understanding With Prompt Guidance (2024) • No Venue
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• Sparse Laneformer (2024) • No Venue
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• Openmoe: An Early Effort On Open Mixture-of-experts Language Models (2024) • No Venue
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• Xgen-mm (BLIP-3): A Family Of Open Large Multimodal Models (2024) • No Venue
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• Compositional Video Generation As Flow Equalization (2024) • No Venue
  Xingyi Yang, Xinchao Wang
• Visual Context Window Extension: A New Perspective For Long Video Understanding (2024) • No Venue
  Hongchen Wei, Zhenzhong Chen
• Skywork-moe: A Deep Dive Into Training Techniques For Mixture-of-experts Language Models (2024) • No Venue
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• Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder For Fast, Memory Efficient, And Long Context Finetuning And Inference (2024) • No Venue
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• A Closer Look Into Mixture-of-experts In Large Language Models (2024) • No Venue
  Lo et al.
• Awaker2.5-vl: Stably Scaling Mllms With Parameter-efficient Mixture Of Experts (2024) • No Venue
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• Fit: Flexible Vision Transformer For Diffusion Model (2024) • No Venue
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• Fine-tuning Large Language Models For Domain Adaptation: Exploration Of Training Strategies, Scaling, Model Merging And Synergistic Capabilities (2024) • npj Computational Materials • 43 citations
  Wei Lu, Rachel K. Luu, Markus J. Buehler
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• Addition Is All You Need For Energy-efficient Language Models (2024) • No Venue
  Hongyin Luo, Wei Sun
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• Poro 34B And The Blessing Of Multilinguality (2024) • No Venue
  Luukkonen et al.
• Exploring The Role Of Large Language Models In Prompt Encoding For Diffusion Models (2024) • No Venue
  Ma et al.
• Sit: Exploring Flow And Diffusion-based Generative Models With Scalable Interpolant Transformers (2024) • No Venue
  Ma et al.
• Megalodon: Efficient LLM Pretraining And Inference With Unlimited Context Length (2024) • No Venue
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• The Era Of 1-bit Llms: All Large Language Models Are In 1.58 Bits (2024) • No Venue
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• MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training (2024) • No Venue
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• Hexagen3d: Stablediffusion Is Just One Step Away From Fast And Diverse Text-to-3d Generation (2024) • No Venue
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• Cottention: Linear Transformers With Cosine Attention (2024) • No Venue
  Gabriel Mongaras, Trevor Dohm, Eric C. Larson
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• Yolov9: Learning What You Want To Learn Using Programmable Gradient Information (2024) • No Venue
  Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
• Olmoe: Open Mixture-of-experts Language Models (2024) • No Venue
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• Leave No Context Behind: Efficient Infinite Context Transformers With Infini-attention (2024) • No Venue
  Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal
• A Multi-expert Large Language Model Architecture For Verilog Code Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 18 citations
  Bardia Nadimi, Hao Zheng
• When Precision Meets Position: Bfloat16 Breaks Down Rope In Long-context Training (2024) • No Venue
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• Dreammatcher: Appearance Matching Self-attention For Semantically-consistent Text-to-image Personalization (2024) • No Venue
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• Openvid-1m: A Large-scale High-quality Dataset For Text-to-video Generation (2024) • No Venue
  Nan et al.
• Tokenformer: Rethinking Transformer Scaling With Tokenized Model Parameters (2024) • No Venue
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• Stemgen: A Music Generation Model That Listens (2023) • No Venue
  Parker et al.
• Internvid: A Large-scale Video-text Dataset For Multimodal Understanding And Generation (2023) • No Venue
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• Detime: Diffusion-enhanced Topic Modeling Using Encoder-decoder Based LLM (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Xu et al.
• Too Large; Data Reduction For Vision-language Pre-training (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 12 citations
  Wang et al.
• LEXTREME: A Multi-lingual And Multi-task Benchmark For The Legal Domain (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 26 citations
  Niklaus et al.
• Recent Advances In Direct Speech-to-text Translation (2023) • Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence • 21 citations
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• HOICLIP: Efficient Knowledge Transfer For HOI Detection With Vision-language Models (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 63 citations
  Ning et al.
• Swap Attention In Spatiotemporal Diffusions For Text-to-video Generation (2023) • Arxiv • 18 citations
  Wang et al.
• Re-reading Improves Reasoning In Large Language Models (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Xu et al.
• Pangu-π: Enhancing Language Model Architectures Via Nonlinearity Compensation (2023) • No Venue
  Wang et al.
• Recmind: Large Language Model Powered Agent For Recommendation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 46 citations
  Wang et al.
• JARVIS-1: Open-world Multi-task Agents With Memory-augmented Multimodal Language Models (2023) • No Venue
  Wang et al.
• A Paradigm Shift In Machine Translation: Boosting Translation Performance Of Large Language Models (2023) • No Venue
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• DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model (2023) • No Venue
  Xu et al.
• KILM: Knowledge Injection Into Encoder-decoder Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Xu et al.
• Missrec: Pre-training And Transferring Multi-modal Interest-aware Sequence Representation For Recommendation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 48 citations
  Wang et al.
• Restoreformer++: Towards Real-world Blind Face Restoration From Undegraded Key-value Pairs (2023) • No Venue
  Wang et al.
• Blackvip: Black-box Visual Prompting For Robust Transfer Learning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Oh et al.
• Openp5: An Open-source Platform For Developing, Training, And Evaluating Llm-based Recommender Systems (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 19 citations
  Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
• Next-gpt: Any-to-any Multimodal LLM (2023) • No Venue
  Wu et al.
• CLIPTER: Looking At The Bigger Picture In Scene Text Recognition (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 25 citations
  Aberdam et al.
• Traces Of Memorisation In Large Language Models For Code (2023) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 19 citations
  Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen
• Docformerv2: Local Features For Document Understanding (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 36 citations
  Appalaraju et al.
• Domain-agnostic Tuning-encoder For Fast Personalization Of Text-to-image Models (2023) • No Venue
  Arar et al.
• Kandinsky 3.0 Technical Report (2023) • No Venue
  Arkhipkin et al.
• Fusionframes: Efficient Architectural Aspects For Text-to-video Generation Pipeline (2023) • No Venue
  Arkhipkin et al.
• Large Language Models For Biomedical Knowledge Graph Construction: Information Extraction From EMR Notes (2023) • Proceedings of the 23rd Workshop on Biomedical Natural Language Processing • 10 citations
  Arsenyan et al.
• GIMLET: A Unified Graph-text Model For Instruction-based Molecule Zero-shot Learning (2023) • Arxiv • 23 citations
  Zhao et al.
• Foundational Models Defining A New Era In Vision: A Survey And Outlook (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 124 citations
  Awais et al.
• Motiondirector: Motion Customization Of Text-to-video Diffusion Models (2023) • No Venue
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• Dreamdiffusion: Generating High-quality Images From Brain EEG Signals (2023) • No Venue
  Bai et al.
• Chatgpt: Applications, Opportunities, And Threats (2023) • 2023 Systems and Information Engineering Design Symposium (SIEDS) • 165 citations
  Bahrini et al.
• EVJVQA Challenge: Multilingual Visual Question Answering (2023) • Journal of Computer Science and Cybernetics • 14 citations
  Nguyen et al.
• Xphonebert: A Pre-trained Multilingual Model For Phoneme Representations For Text-to-speech (2023) • INTERSPEECH 2023 • 12 citations
  Linh The Nguyen, Thinh Pham, Dat Quoc Nguyen
• Pg-video-llava: Pixel Grounding Large Video-language Models (2023) • No Venue
  Munasinghe et al.
• Truth Machines: Synthesizing Veracity In AI Language Models (2023) • AI & SOCIETY • 38 citations
  Luke Munn, Liam Magee, Vanicka Arora
• Cross-modal Contrastive Learning For Multimodal Fake News Detection (2023) • MM '23: The 31st ACM International Conference on Multimedia • 67 citations
  Wang et al.
• Freecontrol: Training-free Spatial Control Of Any Text-to-image Diffusion Model With Any Condition (2023) • No Venue
  Mo et al.
• BERT4CTR: An Efficient Framework To Combine Pre-trained Language Model With Non-textual Features For CTR Prediction (2023) • KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 16 citations
  Wang et al.
• Emernerf: Emergent Spatial-temporal Scene Decomposition Via Self-supervision (2023) • No Venue
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• SILO Language Models: Isolating Legal Risk In A Nonparametric Datastore (2023) • No Venue
  Min et al.
• RWKV: Reinventing Rnns For The Transformer Era (2023) • No Venue
  Peng et al.
• Codet5+: Open Code Large Language Models For Code Understanding And Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 269 citations
  Wang et al.
• Docllm: A Layout-aware Generative Language Model For Multimodal Document Understanding (2023) • No Venue
  Wang et al.
• A Comparative Study On E-branchformer Vs Conformer In Speech Recognition, Translation, And Understanding Tasks (2023) • INTERSPEECH 2023 • 10 citations
  Peng et al.
• Octopus: Embodied Vision-language Programmer From Environmental Feedback (2023) • No Venue
  Yang et al.
• Domain Terminology Integration Into Machine Translation: Leveraging Large Language Models (2023) • Proceedings of the Eighth Conference on Machine Translation • 15 citations
  Moslem et al.
• From Sparse To Soft Mixtures Of Experts (2023) • No Venue
  Puigcerver et al.
• Nach0: Multimodal Natural And Chemical Languages Foundation Model (2023) • Chemical Science • 32 citations
  Livne et al.
• A Pretrainer's Guide To Training Data: Measuring The Effects Of Data Age, Domain Coverage, Quality, & Toxicity (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
  Longpre et al.
• Text Rendering Strategies For Pixel Language Models (2023) • No Venue
  Lotz et al.
• Bitnet: Scaling 1-bit Transformers For Large Language Models (2023) • No Venue
  Wang et al.
• Prompt Guided Transformer For Multi-task Dense Prediction (2023) • IEEE Transactions on Multimedia • 24 citations
  Lu et al.
• Chameleon: Plug-and-play Compositional Reasoning With Large Language Models (2023) • Arxiv • 91 citations
  Lu et al.
• Unified-io 2: Scaling Autoregressive Multimodal Models With Vision, Language, Audio, And Action (2023) • No Venue
  Lu et al.
• Towards Responsible Generative AI: A Reference Architecture For Designing Foundation Model Based Agents (2023) • 2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C) • 10 citations
  Lu et al.
• LARP: Language-agent Role Play For Open-world Games (2023) • No Venue
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• Mirasol3b: A Multimodal Autoregressive Model For Time-aligned And Contextual Modalities (2023) • No Venue
  Piergiovanni et al.
• An Empirical Study Of Catastrophic Forgetting In Large Language Models During Continual Fine-tuning (2023) • IEEE Transactions on Audio, Speech and Language Processing • 17 citations
  Luo et al.
• Orthogonal Adaptation For Modular Customization Of Diffusion Models (2023) • No Venue
  Po et al.
• A Recipe For Scaling Up Text-to-video Generation With Text-free Videos (2023) • No Venue
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• TEAL: Tokenize And Embed ALL For Multi-modal Large Language Models (2023) • No Venue
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• Towards Practical Capture Of High-fidelity Relightable Avatars (2023) • No Venue
  Yang et al.
• Transforming Visual Scene Graphs To Image Captions (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Yang et al.
• One Wide Feedforward Is All You Need (2023) • No Venue
  Pires et al.
• Kosmos-2.5: A Multimodal Literate Model (2023) • No Venue
  Lv et al.
• Deepcache: Accelerating Diffusion Models For Free (2023) • No Venue
  Xinyin Ma, Gongfan Fang, Xinchao Wang
• Gsasrec: Reducing Overconfidence In Sequential Recommendation Trained With Negative Sampling (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 33 citations
  Aleksandr Petrov, Craig MacDonald
• Voxtlm: Unified Decoder-only Models For Consolidating Speech Recognition/synthesis And Speech/text Continuation Tasks (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 20 citations
  Maiti et al.
• From Google Gemini To Openai Q* (q-star): A Survey Of Reshaping The Generative Artificial Intelligence (AI) Research Landscape (2023) • Technologies • 15 citations
  McIntosh et al.
• The Hydra Effect: Emergent Self-repair In Language Model Computations (2023) • No Venue
  McGrath et al.
• Matcha-tts: A Fast TTS Architecture With Conditional Flow Matching (2023) • No Venue
  Mehta et al.
• SOLAR 10.7B: Scaling Large Language Models With Simple Yet Effective Depth Up-scaling (2023) • No Venue
  Kim et al.
• Videopoet: A Large Language Model For Zero-shot Video Generation (2023) • No Venue
  Kondratyuk et al.
• Dreamhuman: Animatable 3D Avatars From Text (2023) • No Venue
  Kolotouros et al.
• VITS2: Improving Quality And Efficiency Of Single-stage Text-to-speech With Adversarial Learning And Architecture Design (2023) • INTERSPEECH 2023 • 41 citations
  Kong et al.
• Priority-centric Human Motion Generation In Discrete Latent Space (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 33 citations
  Kong et al.
• Promptrank: Unsupervised Keyphrase Extraction Using Prompt (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Kong et al.
• Open Sesame! Universal Black Box Jailbreaking Of Large Language Models (2023) • Applied Sciences • 37 citations
  Raz Lapid, Ron Langberg, Moshe Sipper
• Prompting Neural Machine Translation With Translation Memories (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Reheman et al.
• Decap: Decoding CLIP Latents For Zero-shot Captioning Via Text-only Training (2023) • Arxiv • 24 citations
  Li et al.
• Openba: An Open-sourced 15B Bilingual Asymmetric Seq2seq Model Pre-trained From Scratch (2023) • No Venue
  Li et al.
• SAILER: Structure-aware Pre-trained Language Model For Legal Case Retrieval (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 39 citations
  Li et al.
• Prompting Large Language Models For Zero-shot Domain Adaptation In Speech Recognition (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 13 citations
  Li et al.
• Towards The Identifiability And Explainability For Personalized Learner Modeling: An Inductive Paradigm (2023) • WWW '24: The ACM Web Conference 2024 • 12 citations
  Li et al.
• Video Instance Matting (2023) • No Venue
  Li et al.
• Visual In-context Prompting (2023) • No Venue
  Li et al.
• Simda: Simple Diffusion Adapter For Efficient Video Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Xing et al.
• Lmcap: Few-shot Multilingual Image Captioning By Retrieval Augmented Language Model Prompting (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 10 citations
  Rita Ramos, Bruno Martins, Desmond Elliott
• CTRAN: Cnn-transformer-based Network For Natural Language Understanding (2023) • Engineering Applications of Artificial Intelligence • 39 citations
  Mehrdad Rafiepour, Javad Salimi Sartakhti
• Robot Learning With Sensorimotor Pre-training (2023) • No Venue
  Radosavovic et al.
• Statler: State-maintaining Language Models For Embodied Reasoning (2023) • No Venue
  Yoneda et al.
• Generative Pre-trained Transformer: A Comprehensive Review On Enabling Technologies, Potential Applications, Emerging Challenges, And Future Directions (2023) • IEEE Access • 423 citations
  Yenduri et al.
• Attentionviz: A Global View Of Transformer Attention (2023) • IEEE Transactions on Visualization and Computer Graphics • 52 citations
  Yeh et al.
• Ureader: Universal Ocr-free Visually-situated Language Understanding With Multimodal Large Language Model (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 48 citations
  Ye et al.
• Large Language Models Are Versatile Decomposers: Decompose Evidence And Questions For Table-based Reasoning (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 54 citations
  Ye et al.
• Ip-adapter: Text Compatible Image Prompt Adapter For Text-to-image Diffusion Models (2023) • No Venue
  Ye et al.
• Mosaic-sdf For 3D Generative Models (2023) • No Venue
  Yariv et al.
• OMG: Towards Open-vocabulary Motion Generation Via Mixture Of Controllers (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Liang et al.
• Drugchat: Towards Enabling Chatgpt-like Capabilities On Drug Molecule Graphs (2023) • No Venue
  Liang et al.
• GPT-4 Enhanced Multimodal Grounding For Autonomous Driving: Leveraging Cross-modal Attention With Large Language Models (2023) • Communications in Transportation Research • 63 citations
  Liao et al.
• Opening Up Chatgpt: Tracking Openness, Transparency, And Accountability In Instruction-tuned Text Generators (2023) • CUI '23: ACM conference on Conversational User Interfaces • 68 citations
  Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
• Swiftsage: A Generative Agent With Fast And Slow Thinking For Complex Interactive Tasks (2023) • Arxiv • 30 citations
  Lin et al.
• Videodirectorgpt: Consistent Multi-scene Video Generation Via Llm-guided Planning (2023) • No Venue
  Lin et al.
• Univtg: Towards Unified Video-language Temporal Grounding (2023) • No Venue
  Lin et al.
• Langsplat: 3D Language Gaussian Splatting (2023) • No Venue
  Qin et al.
• System 2 Attention (is Something You Might Need Too) (2023) • No Venue
  Jason Weston, Sainbayar Sukhbaatar
• Dual-stream Diffusion Net For Text-to-video Generation (2023) • No Venue
  Liu et al.
• Modeling Multi-aspect Preferences And Intents For Multi-behavioral Sequential Recommendation (2023) • Knowledge-Based Systems • 17 citations
  Liu et al.
• Sherpa3d: Boosting High-fidelity Text-to-3d Generation Via Coarse 3D Prior (2023) • No Venue
  Liu et al.
• VST++: Efficient And Stronger Visual Saliency Transformer (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 36 citations
  Liu et al.
• When MOE Meets Llms: Parameter Efficient Fine-tuning For Multi-task Medical Applications (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 57 citations
  Liu et al.
• Optimized Network Architectures For Large Language Model Training With Billions Of Parameters (2023) • No Venue
  Wang et al.
• Adaptive Shells For Efficient Neural Radiance Field Rendering (2023) • No Venue
  Wang et al.
• RAPHAEL: Text-to-image Generation Via Large Mixture Of Diffusion Paths (2023) • Arxiv • 41 citations
  Xue et al.
• CLIP4STR: A Simple Baseline For Scene Text Recognition With Pre-trained Vision-language Model (2023) • IEEE Transactions on Image Processing • 30 citations
  Zhao et al.
• Towards Modeling Human Attention From Eye Movements For Neural Source Code Summarization (2023) • Proceedings of the ACM on Human-Computer Interaction • 11 citations
  Aakash Bansal, Bonita Sharif, Collin McMillan
• Image Captioners Are Scalable Vision Learners Too (2023) • No Venue
  Tschannen et al.
• With A Little Help From Your Own Past: Prototypical Memory Networks For Image Captioning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 26 citations
  Barraco et al.
• GIVT: Generative Infinite-vocabulary Transformers (2023) • No Venue
  Michael Tschannen, Cian Eastwood, Fabian Mentzer
• Renaissance: A Survey Into AI Text-to-image Generation In The Era Of Large Model (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 24 citations
  Bie et al.
• Nougat: Neural Optical Understanding For Academic Documents (2023) • No Venue
  Blecher et al.
• Focused Transformer: Contrastive Training For Context Scaling (2023) • No Venue
  Tworkowski et al.
• An Empirical Study Of Multimodal Model Merging (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 15 citations
  Sung et al.
• Quantizable Transformers: Removing Outliers By Helping Attention Heads Do Nothing (2023) • No Venue
  Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
• Soundstorm: Efficient Parallel Audio Generation (2023) • No Venue
  Borsos et al.
• Rethinking Attention: Exploring Shallow Feed-forward Neural Networks As An Alternative To Attention Layers In Transformers (2023) • No Venue
  Bozic et al.
• Transformers And Large Language Models For Chemistry And Drug Discovery (2023) • Drug Development Supported by Informatics • 12 citations
  Andres M Bran, Philippe Schwaller
• Melm, A Generative Pretrained Language Modeling Framework That Solves Forward And Inverse Mechanics Problems (2023) • Journal of the Mechanics and Physics of Solids • 44 citations
  Markus J. Buehler
• Do Large Language Models Resemble Humans In Language Use? (2023) • Arxiv • 22 citations
  Cai et al.
• Token-level Contrastive Learning With Modality-aware Prompting For Multimodal Intent Recognition (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Zhou et al.
• Retentive Network: A Successor To Transformer For Large Language Models (2023) • No Venue
  Sun et al.
• Alpha-clip: A CLIP Model Focusing On Wherever You Want (2023) • No Venue
  Sun et al.
• Beyond Surface: Probing Llama Across Scales And Layers (2023) • No Venue
  Chen et al.
• CLEX: Continuous Length Extrapolation For Large Language Models (2023) • No Venue
  Chen et al.
• Gentron: Delving Deep Into Diffusion Transformers For Image And Video Generation (2023) • No Venue
  Chen et al.
• Extending Context Window Of Large Language Models Via Positional Interpolation (2023) • No Venue
  Chen et al.
• LDM3D: Latent Diffusion Model For 3D (2023) • No Venue
  Stan et al.
• Neurons In Large Language Models: Dead, N-gram, Positional (2023) • No Venue
  Elena Voita, Javier Ferrando, Christoforos Nalmpantis
• Video-llama: An Instruction-tuned Audio-visual Language Model For Video Understanding (2023) • No Venue
  Hang Zhang, Xin Li, Lidong Bing
• X-former: In-memory Acceleration Of Transformers (2023) • IEEE Transactions on Very Large Scale Integration (VLSI) Systems • 48 citations
  Sridharan et al.
• Zebra: Extending Context Window With Layerwise Grouped Local-global Attention (2023) • No Venue
  Song et al.
• Embedded Heterogeneous Attention Transformer For Cross-lingual Image Captioning (2023) • IEEE Transactions on Multimedia • 18 citations
  Song et al.
• LUNA: A Model-based Universal Analysis Framework For Large Language Models (2023) • IEEE Transactions on Software Engineering • 11 citations
  Song et al.
• Meta-transformer: A Unified Framework For Multimodal Learning (2023) • No Venue
  Zhang et al.
• Tablellama: Towards Open Large Generalist Models For Tables (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 29 citations
  Zhang et al.
• Enhancing Nerf Akin To Enhancing Llms: Generalizable Nerf Transformer With Mixture-of-view-experts (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 21 citations
  Cong et al.
• Vulnerabilities In AI Code Generators: Exploring Targeted Data Poisoning Attacks (2023) • ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension • 25 citations
  Cotroneo et al.
• Switchhead: Accelerating Transformers With Mixture-of-experts Attention (2023) • No Venue
  Csordás et al.
• Sparse Autoencoders Find Highly Interpretable Features In Language Models (2023) • No Venue
  Cunningham et al.
• 3D-LFM: Lifting Foundation Model (2023) • No Venue
  Mosam Dabhi, Laszlo A. Jeni, Simon Lucey
• Next-chat: An LMM For Chat, Detection And Segmentation (2023) • No Venue
  Zhang et al.
• Leveraging Summary Guidance On Medical Report Summarization (2023) • IEEE Journal of Biomedical and Health Informatics • 16 citations
  Zhu et al.
• Mobile V-moes: Scaling Down Vision Transformers Via Sparse Mixture-of-experts (2023) • No Venue
  Daxberger et al.
• Loop Copilot: Conducting AI Ensembles For Music Generation And Iterative Editing (2023) • No Venue
  Zhang et al.
• Dropdim: A Regularization Method For Transformer Networks (2023) • IEEE Signal Processing Letters • 13 citations
  Zhang et al.
• BTLM-3B-8K: 7B Parameter Performance In A 3B Parameter Model (2023) • No Venue
  Dey et al.
• Mixture-of-domain-adapters: Decoupling And Injecting Domain Knowledge To Pre-trained Language Models Memories (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Diao et al.
• Longnet: Scaling Transformers To 1,000,000,000 Tokens (2023) • No Venue
  Ding et al.
• When Search Meets Recommendation: Learning Disentangled Search Representation For Recommendation (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 23 citations
  Si et al.
• An Attentive Inductive Bias For Sequential Recommendation Beyond The Self-attention (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 62 citations
  Shin et al.
• PUMA: Secure Inference Of Llama-7b In Five Minutes (2023) • No Venue
  Dong et al.
• Cached Transformers: Improving Transformers With Differentiable Memory Cache (2023) • No Venue
  Zhang et al.
• Efficient Long-range Transformers: You Need To Attend More, But Not Necessarily At Every Layer (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 11 citations
  Zhang et al.
• Loramoe: Alleviate World Knowledge Forgetting In Large Language Models Via Moe-style Plugin (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 32 citations
  Dou et al.
• Automl-gpt: Automatic Machine Learning With GPT (2023) • Arxiv • 26 citations
  Zhang et al.
• A Low-rank Matching Attention Based Cross-modal Feature Fusion Method For Conversational Emotion Recognition (2023) • IEEE Transactions on Affective Computing • 19 citations
  Shou et al.
• A Comprehensive Review Of State-of-the-art Methods For Java Code Generation From Natural Language Text (2023) • Natural Language Processing Journal • 18 citations
  Espejel et al.
• Hierarchical Masked 3D Diffusion Model For Video Outpainting (2023) • No Venue
  Fan et al.
• RMT: Retentive Networks Meet Vision Transformers (2023) • No Venue
  Fan et al.
• EVA-02: A Visual Representation For Neon Genesis (2023) • Image and Vision Computing. Volume 149 September 2024 105171 • 10 citations
  Fang et al.
• On Decoder-only Architecture For Speech-to-text And Large Language Model Integration (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 59 citations
  Wu et al.
• A Unified Framework For Slot Based Response Generation In A Multimodal Dialogue System (2023) • Multimedia Tools and Applications • 11 citations
  Mauajama Firdaus, Avinash Madasu, Asif Ekbal
• Omni-smola: Boosting Generalist Multimodal Models With Soft Mixture Of Low-rank Experts (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Wu et al.
• REPLUG: Retrieval-augmented Black-box Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 95 citations
  Shi et al.
• Qmoe: Practical Sub-1-bit Compression Of Trillion-parameter Models (2023) • No Venue
  Elias Frantar, Dan Alistarh
• Flashfftconv: Efficient Convolutions For Long Sequences With Tensor Cores (2023) • No Venue
  Fu et al.
• Datacomp: In Search Of The Next Generation Of Multimodal Datasets (2023) • Arxiv • 72 citations
  Gadre et al.
• Towards Models That Can See And Read (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 11 citations
  Ganz et al.
• Vampnet: Music Generation Via Masked Acoustic Token Modeling (2023) • No Venue
  Garcia et al.
• Scaling Vision-language Models With Sparse Mixture Of Experts (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 33 citations
  Shen et al.
• Composable Function-preserving Expansions For Transformer Architectures (2023) • No Venue
  Andrea Gesmundo, Kaitlin Maile
• RLAS-BIABC: A Reinforcement Learning-based Answer Selection Using The BERT Model Boosted By An Improved ABC Algorithm (2023) • Computational Intelligence and Neuroscience • 36 citations
  Gharagozlou et al.
• Flacuna: Unleashing The Problem Solving Power Of Vicuna Using FLAN Fine-tuning (2023) • No Venue
  Ghosal et al.
• DALE: Generative Data Augmentation For Low-resource Legal NLP (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Ghosh et al.
• CCM: Adding Conditional Controls To Text-to-image Consistency Models (2023) • No Venue
  Xiao et al.
• Generative AI Beyond Llms: System Implications Of Multi-modal Generation (2023) • 2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) • 11 citations
  Golden et al.
• Whisper-at: Noise-robust Automatic Speech Recognizers Are Also Strong General Audio Event Taggers (2023) • No Venue
  Gong et al.
• Topical-chat: Towards Knowledge-grounded Open-domain Conversations (2023) • Interspeech 2019 • 59 citations
  Gopalakrishnan et al.
• Mamba: Linear-time Sequence Modeling With Selective State Spaces (2023) • No Venue
  Albert Gu, Tri Dao
• I2v-adapter: A General Image-to-video Adapter For Video Diffusion Models (2023) • No Venue
  Guo et al.
• Robustifying Token Attention For Vision Transformers (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 24 citations
  Yong Guo, David Stutz, Bernt Schiele
• Motionlm: Multi-agent Motion Forecasting As Language Modeling (2023) • No Venue
  Seff et al.
• A Real-world Webagent With Planning, Long Context Understanding, And Program Synthesis (2023) • No Venue
  Gur et al.
• Open-sourcing Highly Capable Foundation Models: An Evaluation Of Risks, Benefits, And Alternative Methods For Pursuing Open-source Objectives (2023) • SSRN Electronic Journal • 16 citations
  Seger et al.
• Fastervit: Fast Vision Transformers With Hierarchical Attention (2023) • No Venue
  Hatamizadeh et al.
• Mgtbench: Benchmarking Machine-generated Text Detection (2023) • Arxiv • 30 citations
  He et al.
• Inseq: An Interpretability Toolkit For Sequence Generation Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 24 citations
  Sarti et al.
• Multimodal Neurons In Pretrained Text-only Transformers (2023) • No Venue
  Sarah Schwettmann, Neil Chowdhury, Antonio Torralba
• Cogagent: A Visual Language Model For GUI Agents (2023) • No Venue
  Hong et al.
• Massively Multilingual Shallow Fusion With Large Language Models (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Hu et al.
• VL-PET: Vision-and-language Parameter-efficient Tuning Via Granularity Control (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Hu et al.
• Facilitating Multi-turn Emotional Support Conversation With Positive Emotion Elicitation: A Reinforcement Learning Approach (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Zhou et al.
• Enhancing Dyadic Relations With Homogeneous Graphs For Multimodal Recommendation (2023) • Frontiers in Artificial Intelligence and Applications • 46 citations
  Zhou et al.
• Attention Calibration For Transformer-based Sequential Recommendation (2023) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 24 citations
  Zhou et al.
• INVE: Interactive Neural Video Editing (2023) • No Venue
  Huang et al.
• Segment And Caption Anything (2023) • No Venue
  Huang et al.
• RAVEN: In-context Learning With Retrieval Augmented Encoder-decoder Language Models (2023) • No Venue
  Huang et al.
• Sketch-a-shape: Zero-shot Sketch-to-3d Shape Generation (2023) • No Venue
  Sanghi et al.
• Memorybank: Enhancing Large Language Models With Long-term Memory (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 90 citations
  Zhong et al.
• Sign Language Translation With Iterative Prototype (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 16 citations
  Yao et al.
• Memory Augmented Language Models Through Mixture Of Word Experts (2023) • No Venue
  Santos et al.
• Gloss-free Sign Language Translation: Improving From Visual-language Pretraining (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 54 citations
  Zhou et al.
• Trained On 100 Million Words And Still In Shape: BERT Meets British National Corpus (2023) • Findings of the Association for Computational Linguistics: EACL 2023 • 14 citations
  Samuel et al.
• Weight Subcloning: Direct Initialization Of Transformers Using Larger Pretrained Ones (2023) • No Venue
  Samragh et al.
• Customnet: Zero-shot Object Customization With Variable-viewpoints In Text-to-image Diffusion Models (2023) • No Venue
  Yuan et al.
• Pre-gated Moe: An Algorithm-system Co-design For Fast And Scalable Mixture-of-expert Inference (2023) • 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) • 28 citations
  Hwang et al.
• Text2control3d: Controllable 3D Avatar Generation In Neural Radiance Fields Using Geometry-guided Text-to-image Diffusion Model (2023) • No Venue
  Sungwon Hwang, Junha Hyung, Jaegul Choo
• A Symmetric Dual Encoding Dense Retrieval Framework For Knowledge-intensive Visual Question Answering (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 19 citations
  Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani
• Faithful Persona-based Conversational Dataset Generation With Large Language Models (2023) • No Venue
  Jandaghi et al.
• Language Models In Molecular Discovery (2023) • No Venue
  Janakarajan et al.
• Lamini-lm: A Diverse Herd Of Distilled Models From Large-scale Instructions (2023) • Arxiv • 25 citations
  Wu et al.
• Attt2m: Text-driven Human Motion Generation With Multi-perspective Attention Mechanism (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 50 citations
  Zhong et al.
• Mixphm: Redundancy-aware Parameter-efficient Tuning For Low-resource Visual Question Answering (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Jingjing Jiang, Nanning Zheng
• Motiongpt: Human Motion As A Foreign Language (2023) • No Venue
  Jiang et al.
• Reasoninglm: Enabling Structural Subgraph Reasoning In Pre-trained Language Models For Question Answering Over Knowledge Graph (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Jiang et al.
• Randomized Positional Encodings Boost Length Generalization Of Transformers (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 14 citations
  Ruoss et al.
• Promptmrg: Diagnosis-driven Prompts For Medical Report Generation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 77 citations
  Jin et al.
• Audiopalm: A Large Language Model That Can Speak And Listen (2023) • No Venue
  Rubenstein et al.
• Merlin:empowering Multimodal Llms With Foresight Minds (2023) • No Venue
  Yu et al.
• Emergence Of Segmentation With Minimalistic White-box Transformers (2023) • No Venue
  Yu et al.
• Animatezero: Video Diffusion Models Are Zero-shot Image Animators (2023) • No Venue
  Yu et al.
• Cotracker: It Is Better To Track Together (2023) • No Venue
  Karaev et al.
• VILA: Learning Image Aesthetics From User Comments With Vision-language Pretraining (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 69 citations
  Ke et al.
• Weakly Supervised Grounding For VQA In Vision-language Transformers (2022) • Lecture Notes in Computer Science • 12 citations
  Khan et al.
• Who Says Elephants Can't Run: Bringing Large Scale Moe Models Into Cloud Scale Production (2022) • Proceedings of the Third Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) • 10 citations
  Kim et al.
• Scaling Up Models And Data With \(\texttt{t5x}\) And \(\texttt{seqio}\) (2022) • Arxiv • 48 citations
  Roberts et al.
• Entailment Tree Explanations Via Iterative Retrieval-generation Reasoner (2022) • Findings of the Association for Computational Linguistics: NAACL 2022 • 19 citations
  Ribeiro et al.
• Vitcod: Vision Transformer Acceleration Via Dedicated Algorithm And Accelerator Co-design (2022) • 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA) • 92 citations
  You et al.
• Memetector: Enforcing Deep Focus For Meme Detection (2022) • International Journal of Multimedia Information Retrieval • 10 citations
  Christos Koutlis, Manos Schinas, Symeon Papadopoulos
• Sim-to-real Transfer For Quadrupedal Locomotion Via Terrain Transformer (2022) • 2023 IEEE International Conference on Robotics and Automation (ICRA) • 14 citations
  Lai et al.
• Etrica: Event-triggered Context-aware Story Generation Augmented By Cross Attention (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 11 citations
  Tang et al.
• Transpolymer: A Transformer-based Language Model For Polymer Property Predictions (2022) • npj Computational Materials • 140 citations
  Changwen Xu, Yuyang Wang, Amir Barati Farimani
• Parameter-efficient Abstractive Question Answering Over Tables Or Text (2022) • Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering • 11 citations
  Vaishali Pal, Evangelos Kanoulas, Maarten de Rijke
• Entropy- And Distance-based Predictors From GPT-2 Attention Patterns Predict Reading Times Over And Above GPT-2 Surprisal (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Byung-Doh Oh, William Schuler
• Unirel: Unified Representation And Interaction For Joint Relational Triple Extraction (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 52 citations
  Tang et al.
• Unified Speech-text Pre-training For Speech Translation And Recognition (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 65 citations
  Tang et al.
• Medical Dialogue Response Generation With Pivotal Information Recalling (2022) • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 16 citations
  Zhao et al.
• Moebert: From BERT To Mixture-of-experts Via Importance-guided Adaptation (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 19 citations
  Zuo et al.
• Reastap: Injecting Table Reasoning Skills During Pre-training Via Synthetic Reasoning Examples (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Zhao et al.
• Table-to-text Generation And Pre-training With Tabt5 (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 18 citations
  Andrejczuk et al.
• Hybrid Reinforced Medical Report Generation With M-linear Attention And Repetition Penalty (2022) • IEEE Transactions on Neural Networks and Learning Systems • 13 citations
  Xu et al.
• No Language Left Behind: Scaling Human-centered Machine Translation (2022) • Arxiv • 354 citations
  Team et al.
• Rethinking Personalized Ranking At Pinterest: An End-to-end Approach (2022) • Proceedings of the 16th ACM Conference on Recommender Systems • 11 citations
  Jiajing Xu, Andrew Zhai, Charles Rosenberg
• Fact Checking With Insufficient Evidence (2022) • Transactions of the Association for Computational Linguistics • 18 citations
  Atanasova et al.
• Expanding Language-image Pretrained Models For General Video Recognition (2022) • Lecture Notes in Computer Science • 240 citations
  Ni et al.
• Probing Pretrained Models Of Source Code (2022) • Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP • 18 citations
  Sergey Troshin, Nadezhda Chirkova
• CLIPPO: Image-and-language Understanding From Pixels Only (2022) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 41 citations
  Michael Tschannen, Basil Mustafa, Neil Houlsby
• Latent Diffusion For Language Generation (2022) • Arxiv • 15 citations
  Lovelace et al.
• A Model-agnostic Data Manipulation Method For Persona-based Dialogue Generation (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 41 citations
  Cao et al.
• HIBRIDS: Attention With Hierarchical Biases For Structure-aware Long Document Summarization (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 34 citations
  Shuyang Cao, Lu Wang
• A Length-extrapolatable Transformer (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 30 citations
  Sun et al.
• Promptcast: A New Prompt-based Learning Paradigm For Time Series Forecasting (2022) • IEEE Transactions on Knowledge and Data Engineering • 149 citations
  Hao Xue, Flora D. Salim
• St-moe: Designing Stable And Transferable Sparse Expert Models (2022) • Arxiv • 45 citations
  Zoph et al.
• Character-centric Story Visualization Via Visual Planning And Token Alignment (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Chen et al.
• Enhancing User Behavior Sequence Modeling By Generative Tasks For Session Search (2022) • CIKM '22: The 31st ACM International Conference on Information and Knowledge Management • 15 citations
  Chen et al.
• Dialogved: A Pre-trained Latent Variable Encoder-decoder Model For Dialog Response Generation (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 18 citations
  Chen et al.
• Hybrid Transformer With Multi-level Fusion For Multimodal Knowledge Graph Completion (2022) • SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval • 167 citations
  Chen et al.
• Unit3d: A Unified Transformer For 3D Dense Captioning And Visual Grounding (2022) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 33 citations
  Chen et al.
• Lako: Knowledge-driven Visual Question Answering Via Late Knowledge-to-text Injection (2022) • Proceedings of the 11th International Joint Conference on Knowledge Graphs • 23 citations
  Chen et al.
• Pali: A Jointly-scaled Multilingual Language-image Model (2022) • Arxiv • 194 citations
  Chen et al.
• Multimodal Token Fusion For Vision Transformers (2022) • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 194 citations
  Wang et al.
• Gypsum: Learning Hybrid Representations For Code Summarization (2022) • ICPC '22: 30th International Conference on Program Comprehension • 29 citations
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• A Hierarchical Latent Variable Encoder-decoder Model For Generating Dialogues (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 300 citations
  Serban et al.
• Attention-over-attention Neural Networks For Reading Comprehension (2016) • Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 161 citations
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• Tree-to-sequence Attentional Neural Machine Translation (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 113 citations
  Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka
• Multi-way, Multilingual Neural Machine Translation With A Shared Attention Mechanism (2016) • Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 154 citations
  Orhan Firat, Kyunghyun Cho, Yoshua Bengio
• Sequence-to-sequence Learning As Beam-search Optimization (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 167 citations
  Sam Wiseman, Alexander M. Rush
• Online Segment To Segment Neural Transduction (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Lei Yu, Jan Buys, Phil Blunsom
• Topic Aware Neural Response Generation (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 122 citations
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• Gated-attention Readers For Text Comprehension (2016) • Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 131 citations
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  Tu et al.
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  Li Dong, Mirella Lapata
• Conditional Generation And Snapshot Learning In Neural Dialogue Systems (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 24 citations
  Wen et al.
• SCA-CNN: Spatial And Channel-wise Attention In Convolutional Networks For Image Captioning (2016) • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 1469 citations
  Chen et al.
• Coherent Dialogue With Attention-based Language Models (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 23 citations
  Hongyuan Mei, Mohit Bansal, Matthew R. Walter
• Google's Multilingual Neural Machine Translation System: Enabling Zero-shot Translation (2016) • Transactions of the Association for Computational Linguistics • 628 citations
  Johnson et al.
• Attention-based Convolutional Neural Network For Machine Comprehension (2016) • Proceedings of the Workshop on Human-Computer Question Answering • 41 citations
  Wenpeng Yin, Sebastian Ebert, Hinrich Schütze
• Character-level Question Answering With Attention (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 37 citations
  David Golub, Xiaodong He
• Dual Attention Networks For Multimodal Reasoning And Matching (2016) • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 468 citations
  Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim
• Towards Abstraction From Extraction: Multiple Timescale Gated Recurrent Unit For Summarization (2016) • Proceedings of the 1st Workshop on Representation Learning for NLP • 19 citations
  Minsoo Kim, Moirangthem Dennis Singh, Minho Lee
• A Sequence-to-sequence Model For User Simulation In Spoken Dialogue Systems (2016) • Interspeech 2016 • 26 citations
  Layla El Asri, Jing He, Kaheer Suleman
• Deep API Learning (2016) • FSE'16: 24nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering • 398 citations
  Gu et al.
• Generating Chinese Classical Poems With RNN Encoder-decoder (2016) • Lecture Notes in Computer Science • 49 citations
  Xiaoyuan Yi, Ruoyu Li, Maosong Sun
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  Rico Sennrich, Barry Haddow
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• Transfer Learning For Low-resource Neural Machine Translation (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 285 citations
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Prompting 996 papers #

• MRAG: Benchmarking Retrieval-augmented Generation For Bio-medicine (2026) • Findings of the Association for Computational Linguistics ACL 2024 • 139 citations
  Wei Zhu
• Cov: Chain-of-view Prompting For Spatial Reasoning (2026) • No Venue
  Zhao et al.
• PROGRESSLM: Towards Progress Reasoning In Vision-language Models (2026) • No Venue
  Zhang et al.
• Are Llms Vulnerable To Preference-undermining Attacks (PUA)? A Factorial Analysis Methodology For Diagnosing The Trade-off Between Preference Alignment And Real-world Validity (2026) • No Venue
  An et al.
• Medical SAM3: A Foundation Model For Universal Prompt-driven Medical Image Segmentation (2026) • No Venue
  Jiang et al.
• THINKSAFE: Self-generated Safety Alignment For Reasoning Models (2026) • No Venue
  Lee et al.
• Mmfinereason: Closing The Multimodal Reasoning Gap Via Open Data-centric Methods (2026) • No Venue
  Lin et al.
• Chartverse: Scaling Chart Reasoning Via Reliable Programmatic Synthesis From Scratch (2026) • No Venue
  Liu et al.
• Controllable Memory Usage: Balancing Anchoring And Innovation In Long-term Human-agent Interaction (2026) • No Venue
  Tian et al.
• Everything In Its Place: Benchmarking Spatial Intelligence Of Text-to-image Models (2026) • No Venue
  Wang et al.
• Render-of-thought: Rendering Textual Chain-of-thought As Images For Visual Latent Reasoning (2026) • No Venue
  Wang et al.
• Robovip: Multi-view Video Generation With Visual Identity Prompting Augments Robot Manipulation (2026) • No Venue
  Wang et al.
• TTCS: Test-time Curriculum Synthesis For Self-evolving (2026) • No Venue
  Yang et al.
• Is Chain-of-thought Reasoning Of Llms A Mirage? A Data Distribution Lens (2025) • No Venue
  Zhao et al.
• Learning To Reason Via Mixture-of-thought For Logical Reasoning (2025) • No Venue
  Zheng et al.
• Hallucinations Can Improve Large Language Models In Drug Discovery (2025) • No Venue
  Shuzhou Yuan, Michael Färber
• Reasongen-r1: Cot For Autoregressive Image Generation Models Through SFT And RL (2025) • No Venue
  Zhang et al.
• In-context Edit: Enabling Instructional Image Editing With In-context Generation In Large Scale Diffusion Transformer (2025) • No Venue
  Zhang et al.
• MARS: A Multi-agent Framework Incorporating Socratic Guidance For Automated Prompt Optimization (2025) • No Venue
  Zhang et al.
• Pixel-sail: Single Transformer For Pixel-grounded Understanding (2025) • No Venue
  Zhang et al.
• Prompt Orchestration Markup Language (2025) • No Venue
  Zhang et al.
• Vlm^2-bench: A Closer Look At How Well Vlms Implicitly Link Explicit Matching Visual Cues (2025) • No Venue
  Zhang et al.
• Verbalized Sampling: How To Mitigate Mode Collapse And Unlock LLM Diversity (2025) • No Venue
  Zhang et al.
• Large Language Model Guided Self-debugging Code Generation (2025) • No Venue
  Muntasir Adnan, Zhiwei Xu, Carlos C. N. Kuhn
• Is Trust Correlated With Explainability In AI? A Meta-analysis (2025) • IEEE Transactions on Technology and Society • 16 citations
  Zahra Atf, Peter R. Lewis
• Sketch-of-thought: Efficient LLM Reasoning With Adaptive Cognitive-inspired Sketching (2025) • No Venue
  Simon A. Aytes, Jinheon Baek, Sung Ju Hwang
• Limtopic: Llm-based Topic Modeling And Text Summarization For Analyzing Scientific Articles Limitations (2025) • JCDL '24: 24th ACM/IEEE Joint Conference on Digital Libraries • 10 citations
  Azhar et al.
• Microvqa: A Multimodal Reasoning Benchmark For Microscopy-based Scientific Research (2025) • No Venue
  Burgess et al.
• Multi-domain Explainability Of Preferences (2025) • No Venue
  Nitay Calderon, Liat Ein-Dor, Roi Reichart
• Blip3-o: A Family Of Fully Open Unified Multimodal Models-architecture, Training And Dataset (2025) • No Venue
  Chen et al.
• Iterresearch: Rethinking Long-horizon Agents Via Markovian State Reconstruction (2025) • No Venue
  Chen et al.
• 3D Aware Region Prompted Vision Language Model (2025) • No Venue
  Cheng et al.
• System Prompt Optimization With Meta-learning (2025) • No Venue
  Yumin Choi, Jinheon Baek, Sung Ju Hwang
• Fine-tuning A Large Language Model For Automating Computational Fluid Dynamics Simulations (2025) • Theoretical and Applied Mechanics Letters • 12 citations
  Zhehao Dong, Zhen Lu, Yue Yang
• Tool-star: Empowering Llm-brained Multi-tool Reasoner Via Reinforcement Learning (2025) • No Venue
  Dong et al.
• Evaluating Podcast Recommendations With Profile-aware Llm-as-a-judge (2025) • No Venue
  Fabbri et al.
• SSRL: Self-search Reinforcement Learning (2025) • No Venue
  Fan et al.
• Flux-reason-6m & Prism-bench: A Million-scale Text-to-image Reasoning Dataset And Comprehensive Benchmark (2025) • No Venue
  Fang et al.
• PHYSICS: Benchmarking Foundation Models On University-level Physics Problem Solving (2025) • No Venue
  Feng et al.
• Square: Sequential Question Answering Reasoning Engine For Enhanced Chain-of-thought In Large Language Models (2025) • No Venue
  Fleischer et al.
• Imperceptible Jailbreaking Against Large Language Models (2025) • No Venue
  Gao et al.
• RAPO++: Cross-stage Prompt Optimization For Text-to-video Generation Via Data Alignment And Test-time Scaling (2025) • No Venue
  Gao et al.
• Latcoder: Converting Webpage Design To Code With Layout-as-thought (2025) • No Venue
  Gui et al.
• Thinking-while-generating: Interleaving Textual Reasoning Throughout Visual Generation (2025) • No Venue
  Guo et al.
• Beyond The Last Answer: Your Reasoning Trace Uncovers More Than You Think (2025) • No Venue
  Hasan Abed Al Kader Hammoud, Hani Itani, Bernard Ghanem
• Decomposed Attention Fusion In Mllms For Training-free Video Reasoning Segmentation (2025) • No Venue
  Han et al.
• Cut2next: Generating Next Shot Via In-context Tuning (2025) • No Venue
  He et al.
• Omni-rgpt: Unifying Image And Video Region-level Understanding Via Token Marks (2025) • No Venue
  Heo et al.
• Jailbreaking With Universal Multi-prompts (2025) • No Venue
  Yu-Ling Hsu, Hsuan Su, Shang-Tse Chen
• Cos: Chain-of-shot Prompting For Long Video Understanding (2025) • No Venue
  Hu et al.
• From Reflection To Perfection: Scaling Inference-time Optimization For Text-to-image Diffusion Models Via Reflection Tuning (2025) • No Venue
  Zhuo et al.
• Loong: Synthesize Long Chain-of-thoughts At Scale Through Verifiers (2025) • No Venue
  Huang et al.
• Foundation Models For Geospatial Reasoning: Assessing Capabilities Of Large Language Models In Understanding Geometries And Topological Spatial Relations (2025) • International Journal of Geographical Information Science • 14 citations
  Ji et al.
• Detect Anything Via Next Point Prediction (2025) • No Venue
  Jiang et al.
• Mme-cot: Benchmarking Chain-of-thought In Large Multimodal Models For Reasoning Quality, Robustness, And Efficiency (2025) • No Venue
  Jiang et al.
• T2I-R1: Reinforcing Image Generation With Collaborative Semantic-level And Token-level Cot (2025) • No Venue
  Jiang et al.
• Search-r1: Training Llms To Reason And Leverage Search Engines With Reinforcement Learning (2025) • No Venue
  Jin et al.
• Distilling LLM Agent Into Small Models With Retrieval And Code Tools (2025) • No Venue
  Kang et al.
• Taming Generative Video Models For Zero-shot Optical Flow Extraction (2025) • No Venue
  Kim et al.
• Rethinking Prompt Design For Inference-time Scaling In Text-to-visual Generation (2025) • No Venue
  Kim et al.
• Medical Hallucinations In Foundation Models And Their Impact On Healthcare (2025) • Arxiv • 41 citations
  Kim et al.
• Toward Evaluative Thinking: Meta Policy Optimization With Evolving Reward Models (2025) • No Venue
  Kim et al.
• Opentslm: Time-series Language Models For Reasoning Over Multivariate Medical Text- And Time-series Data (2025) • No Venue
  Langer et al.
• From Token To Action: State Machine Reasoning To Mitigate Overthinking In Information Retrieval (2025) • No Venue
  Dohyeon Lee, Yeonseok Jeong, Seung-Won Hwang
• 4D Langsplat: 4D Language Gaussian Splatting Via Multimodal Large Language Models (2025) • No Venue
  Li et al.
• START: Self-taught Reasoner With Tools (2025) • No Venue
  Li et al.
• Syzygy Of Thoughts: Improving LLM Cot With The Minimal Free Resolution (2025) • No Venue
  Li et al.
• From Imitation To Discrimination: Toward A Generalized Curriculum Advantage Mechanism Enhancing Cross-domain Reasoning Tasks (2025) • No Venue
  Yang et al.
• Foundations Of Large Language Models (2025) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Tong Xiao, Jingbo Zhu
• Logic-rl: Unleashing LLM Reasoning With Rule-based Reinforcement Learning (2025) • No Venue
  Xie et al.
• Can Large Vision Language Models Read Maps Like A Human? (2025) • No Venue
  Xing et al.
• Biasfreebench: A Benchmark For Mitigating Bias In Large Language Model Responses (2025) • No Venue
  Xu et al.
• Multimodal Inconsistency Reasoning (MMIR): A New Benchmark For Multimodal Reasoning Models (2025) • No Venue
  Yan et al.
• Evolving Prompts In-context: An Open-ended, Self-replicating Perspective (2025) • No Venue
  Jianyu Wang, Zhiqiang Hu, Lidong Bing
• GRPO-MA: Multi-answer Generation In GRPO For Stable And Efficient Chain-of-thought Training (2025) • No Venue
  Wang et al.
• Temporal Self-rewarding Language Models: Decoupling Chosen-rejected Via Past-future (2025) • No Venue
  Wang et al.
• Optimizing Chain-of-thought Reasoners Via Gradient Variance Minimization In Rejection Sampling And RL (2025) • No Venue
  Yao et al.
• GTR: Guided Thought Reinforcement Prevents Thought Collapse In Rl-based VLM Agent Training (2025) • No Venue
  Wei et al.
• Integration Of Old And New Knowledge For Generalized Intent Discovery: A Consistency-driven Prototype-prompting Framework (2025) • Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24} • 27 citations
  Wei et al.
• Webagent-r1: Training Web Agents Via End-to-end Multi-turn Reinforcement Learning (2025) • No Venue
  Wei et al.
• Aligning Crowd-sourced Human Feedback For Reinforcement Learning On Code Generation By Large Language Models (2025) • IEEE Transactions on Big Data • 27 citations
  Man Fai Wong, Chee Wei Tan
• Effectively Controlling Reasoning Models Through Thinking Intervention (2025) • No Venue
  Wu et al.
• What Generative Search Engines Like And How To Optimize Web Content Cooperatively (2025) • No Venue
  Wu et al.
• Generative AI Act II: Test Time Scaling Drives Cognition Engineering (2025) • No Venue
  Xia et al.
• Visionary-r1: Mitigating Shortcuts In Visual Reasoning With Reinforcement Learning (2025) • No Venue
  Xia et al.
• Hot: Highlighted Chain Of Thought For Referencing Supporting Facts From Inputs (2025) • No Venue
  Nguyen et al.
• Yochameleon: Personalized Vision And Language Generation (2025) • No Venue
  Nguyen et al.
• Cotox: Chain-of-thought-based Molecular Toxicity Reasoning And Prediction (2025) • No Venue
  Park et al.
• Fine-grained Detection Of Context-grounded Hallucinations Using Llms (2025) • No Venue
  Peisakhovsky et al.
• Vibe Coding Vs. Agentic Coding: Fundamentals And Practical Implications Of Agentic AI (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Leveraging Large Language Models For Predictive Analysis Of Human Misery (2025) • No Venue
  Seal et al.
• Agentrxiv: Towards Collaborative Autonomous Research (2025) • No Venue
  Samuel Schmidgall, Michael Moor
• Constitutional Classifiers: Defending Against Universal Jailbreaks Across Thousands Of Hours Of Red Teaming (2025) • No Venue
  Sharma et al.
• Deep Research: A Systematic Survey (2025) • No Venue
  Shi et al.
• SAM Audio: Segment Anything In Audio (2025) • No Venue
  Shi et al.
• Earthmind: Towards Multi-granular And Multi-sensor Earth Observation With Large Multimodal Models (2025) • No Venue
  Shu et al.
• Enhancing Step-by-step And Verifiable Medical Reasoning In Mllms (2025) • No Venue
  Sun et al.
• Au-harness: An Open-source Toolkit For Holistic Evaluation Of Audio Llms (2025) • No Venue
  Surapaneni et al.
• Guided Decoding And Its Critical Role In Retrieval-augmented Generation (2025) • No Venue
  Uğur et al.
• Measuring General Intelligence With Generated Games (2025) • No Venue
  Verma et al.
• Machine Bullshit: Characterizing The Emergent Disregard For Truth In Large Language Models (2025) • No Venue
  Liang et al.
• Fractured Chain-of-thought Reasoning (2025) • No Venue
  Liao et al.
• Metaladder: Ascending Mathematical Solution Quality Via Analogical-problem Reasoning Transfer (2025) • No Venue
  Lin et al.
• Ontology Generation Using Large Language Models (2025) • Lecture Notes in Computer Science • 10 citations
  Lippolis et al.
• Can World Simulators Reason? Gen-vire: A Generative Visual Reasoning Benchmark (2025) • No Venue
  Liu et al.
• Deep Self-evolving Reasoning (2025) • No Venue
  Liu et al.
• Metafaith: Faithful Natural Language Uncertainty Expression In Llms (2025) • No Venue
  Liu et al.
• Rectifying LLM Thought From Lens Of Optimization (2025) • No Venue
  Liu et al.
• What Makes A Good Natural Language Prompt? (2025) • No Venue
  Long et al.
• Adacot: Pareto-optimal Adaptive Chain-of-thought Triggering Via Reinforcement Learning (2025) • No Venue
  Lou et al.
• Reasoning Models Can Be Effective Without Thinking (2025) • No Venue
  Ma et al.
• Easy Dataset: A Unified And Extensible Framework For Synthesizing LLM Fine-tuning Data From Unstructured Documents (2025) • No Venue
  Miao et al.
• Position Of Uncertainty: A Cross-linguistic Study Of Positional Bias In Large Language Models (2025) • No Venue
  Mikhail et al.
• LLM As A Broken Telephone: Iterative Generation Distorts Information (2025) • No Venue
  Mohamed et al.
• Promptomatix: An Automatic Prompt Optimization Framework For Large Language Models (2025) • No Venue
  Murthy et al.
• Leveraging Self-attention For Input-dependent Soft Prompting In Llms (2025) • No Venue
  Ananth Muppidi, Abhilash Nandy, Sambaran Bandyopadhyay
• Synthetic Data Generation Using Large Language Models: Advances In Text And Code (2025) • IEEE Access • 13 citations
  Mihai Nadas, Laura Diosan, Andreea Tomescu
• The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks And Prompt Injections (2025) • No Venue
  Nasr et al.
• Task Supportive And Personalized Human-large Language Model Interaction: A User Study (2024) • CHIIR '24: 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval • 17 citations
  Wang et al.
• Promptcharm: Text-to-image Generation Through Multi-modal Prompting And Refinement (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 67 citations
  Wang et al.
• Positionid: Llms Can Control Lengths, Copy And Paste With Explicit Positional Awareness (2024) • No Venue
  Wang et al.
• Minstrel: Structural Prompt Generation With Multi-agents Coordination For Non-ai Experts (2024) • No Venue
  Wang et al.
• M\(^2\)PT: Multimodal Prompt Tuning For Zero-shot Instruction Learning (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 19 citations
  Wang et al.
• Llm3:large Language Model-based Task And Motion Planning With Motion Failure Reasoning (2024) • 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 18 citations
  Wang et al.
• Can Small Language Models Be Good Reasoners For Sequential Recommendation? (2024) • WWW '24: The ACM Web Conference 2024 • 25 citations
  Wang et al.
• A Comprehensive Survey Of Small Language Models In The Era Of Large Language Models: Techniques, Enhancements, Applications, Collaboration With Llms, And Trustworthiness (2024) • ACM Transactions on Intelligent Systems and Technology • 21 citations
  Wang et al.
• User-llm: Efficient LLM Contextualization With User Embeddings (2024) • No Venue
  Ning et al.
• Can Llms Learn By Teaching? A Preliminary Study (2024) • No Venue
  Ning et al.
• Catalyzing Equity In STEM Teams: Harnessing Generative AI For Inclusion And Diversity (2024) • Policy Insights from the Behavioral and Brain Sciences • 41 citations
  Nia Nixon, Yiwen Lin, Lauren Snow
• From Medprompt To O1: Exploration Of Run-time Strategies For Medical Challenge Problems And Beyond (2024) • No Venue
  Nori et al.
• Enhancing Large Language Models For Clinical Decision Support By Incorporating Clinical Practice Guidelines (2024) • 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI) • 21 citations
  Oniani et al.
• Convolutional Prompting Meets Language Models For Continual Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Roy et al.
• Gemini Goes To Med School: Exploring The Capabilities Of Multimodal Large Language Models On Medical Challenge Problems & Hallucinations (2024) • Proceedings of the 6th Clinical Natural Language Processing Workshop • 22 citations
  Ankit Pal, Malaikannan Sankarasubbu
• The Neglected Tails In Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Parashar et al.
• Pre-trained Vision And Language Transformers Are Few-shot Incremental Learners (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Keon-Hee Park, Kyungwoo Song, Gyeong-Moon Park
• "in-context Learning" Or: How I Learned To Stop Worrying And Love "applied Information Retrieval" (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 10 citations
  Andrew Parry, Debasis Ganguly, Manish Chandra
• Logicbench: Towards Systematic Evaluation Of Logical Reasoning Ability Of Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Parmar et al.
• Advprompter: Fast Adaptive Adversarial Prompting For Llms (2024) • No Venue
  Paulus et al.
• LC-LLM: Explainable Lane-change Intention And Trajectory Predictions With Large Language Models (2024) • Communications in Transportation Research • 27 citations
  Peng et al.
• Inst-it: Boosting Multimodal Instance Understanding Via Explicit Visual Prompt Instruction Tuning (2024) • No Venue
  Peng et al.
• Jailbreaking And Mitigation Of Vulnerabilities In Large Language Models (2024) • Arxiv • 10 citations
  Peng et al.
• Revisiting Verilogeval: A Year Of Improvements In Large-language Models For Hardware Code Generation (2024) • ACM Transactions on Design Automation of Electronic Systems • 10 citations
  Pinckney et al.
• Beyond The Hype: A Comprehensive Review Of Current Trends In Generative AI Research, Teaching Practices, And Tools (2024) • ITiCSE 2024: Innovation and Technology in Computer Science Education • 37 citations
  Prather et al.
• Improving Retrieval-augmented Generation In Medicine With Iterative Follow-up Questions (2024) • Biocomputing 2025 • 32 citations
  Xiong et al.
• Large Language Models Can Learn Temporal Reasoning (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Xiong et al.
• Diffusiongpt: Llm-driven Text-to-image Generation System (2024) • No Venue
  Qin et al.
• Benchmarking Retrieval-augmented Generation For Medicine (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 139 citations
  Xiong et al.
• Bringing Textual Prompt To Ai-generated Image Quality Assessment (2024) • 2024 IEEE International Conference on Multimedia and Expo (ICME) • 27 citations
  Bowen Qu, Haohui Li, Wei Gao
• Bringing Objects To Life: 4D Generation From 3D Objects (2024) • No Venue
  Rahamim et al.
• Applying Pre-trained Multilingual BERT In Embeddings For Improved Malicious Prompt Injection Attacks Detection (2024) • 2024 IEEE 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings) • 11 citations
  Rahman et al.
• EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling With Retrieval-augmented Generation (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 15 citations
  Zhu et al.
• Breaking Bias, Building Bridges: Evaluation And Mitigation Of Social Biases In Llms Via Contact Hypothesis (2024) • Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society • 10 citations
  Raj et al.
• RALL-E: Robust Codec Language Modeling With Chain-of-thought Prompting For Text-to-speech Synthesis (2024) • No Venue
  Xin et al.
• Llms Are One-shot URL Classifiers And Explainers (2024) • Computer Networks • 11 citations
  Rashid et al.
• Explore Until Confident: Efficient Exploration For Embodied Question Answering (2024) • Robotics: Science and Systems 2024 • 17 citations
  Ren et al.
• The Effect Of Sampling Temperature On Problem Solving In Large Language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 91 citations
  Matthew Renze, Erhan Guven
• Ipadapter-instruct: Resolving Ambiguity In Image-based Conditioning Using Instruct Prompts (2024) • No Venue
  Rowles et al.
• LML: Language Model Learning A Dataset For Data-augmented Prediction (2024) • No Venue
  Praneeth Vadlapati
• Toward Self-improvement Of Llms Via Imagination, Searching, And Criticizing (2024) • No Venue
  Tian et al.
• Promptriever: Instruction-trained Retrievers Can Be Prompted Like Language Models (2024) • No Venue
  Weller et al.
• Can Llms Learn From Previous Mistakes? Investigating Llms' Errors To Boost For Reasoning (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Tong et al.
• Openmathinstruct-1: A 1.8 Million Math Instruction Tuning Dataset (2024) • No Venue
  Toshniwal et al.
• Streamlining Systematic Reviews: A Novel Application Of Large Language Models (2024) • BMC Medical Research Methodology • 11 citations
  Trad et al.
• Keyframer: Empowering Animation Design Using Large Language Models (2024) • No Venue
  Tiffany Tseng, Ruijia Cheng, Jeffrey Nichols
• Geollm-engine: A Realistic Environment For Building Geospatial Copilots (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 13 citations
  Simranjit Singh, Michael Fore, Dimitrios Stamoulis
• Aligning Large Language Models For Enhancing Psychiatric Interviews Through Symptom Delineation And Summarization: Pilot Study (2024) • JMIR Formative Research • 10 citations
  So et al.
• Tapping The Potential Of Large Language Models As Recommender Systems: A Comprehensive Framework And Empirical Analysis (2024) • ACM Transactions on Knowledge Discovery from Data • 12 citations
  Xu et al.
• Moma: Multimodal LLM Adapter For Fast Personalized Image Generation (2024) • No Venue
  Song et al.
• Signed-prompt: A New Approach To Prevent Prompt Injection Attacks Against Llm-integrated Applications (2024) • 2024 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND MECHATRONICS (ICCSM 2024) • 16 citations
  Xuchen Suo
• To Cot Or Not To Cot? Chain-of-thought Helps Mainly On Math And Symbolic Reasoning (2024) • No Venue
  Sprague et al.
• Evaluating Llms' Mathematical Reasoning In Financial Document Question Answering (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 15 citations
  Srivastava et al.
• Virtual Agents For Alcohol Use Counseling: Exploring Llm-powered Motivational Interviewing (2024) • IVA '24: ACM International Conference on Intelligent Virtual Agents • 22 citations
  Steenstra et al.
• RLVF: Learning From Verbal Feedback Without Overgeneralization (2024) • No Venue
  Stephan et al.
• BRIGHT: A Realistic And Challenging Benchmark For Reasoning-intensive Retrieval (2024) • No Venue
  Su et al.
• Prompt Chaining Or Stepwise Prompt? Refinement In Text Summarization (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Sun et al.
• Source Code Summarization In The Era Of Large Language Models (2024) • 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE) • 23 citations
  Sun et al.
• Finrobot: An Open-source AI Agent Platform For Financial Applications Using Large Language Models (2024) • SSRN Electronic Journal • 19 citations
  Yang et al.
• Vmix: Improving Text-to-image Diffusion Model With Cross-attention Mixing Control (2024) • No Venue
  Wu et al.
• Turboedit: Instant Text-based Image Editing (2024) • No Venue
  Wu et al.
• Meta-prompting: Enhancing Language Models With Task-agnostic Scaffolding (2024) • No Venue
  Mirac Suzgun, Adam Tauman Kalai
• Spinning The Golden Thread: Benchmarking Long-form Generation In Language Models (2024) • No Venue
  Wu et al.
• Performance Assessment Of Chatgpt Vs Bard In Detecting Alzheimer's Dementia (2024) • Diagnostics • 15 citations
  Balamurali B T, Jer-Ming Chen
• Retrieval-augmented Generation For Natural Language Processing: A Survey (2024) • Arxiv • 14 citations
  Wu et al.
• Harnessing Large Language Models For Software Vulnerability Detection: A Comprehensive Benchmarking Study (2024) • IEEE Access • 18 citations
  Karl Tamberg, Hayretdin Bahsi
• Democratizing Large Language Models Via Personalized Parameter-efficient Fine-tuning (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Tan et al.
• Paths-over-graph: Knowledge Graph Empowered Large Language Model Reasoning (2024) • WWW '25: The ACM Web Conference 2025 • 12 citations
  Tan et al.
• Higpt: Heterogeneous Graph Language Model (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 30 citations
  Tang et al.
• Beyond Examples: High-level Automated Reasoning Paradigm In In-context Learning Via MCTS (2024) • No Venue
  Wu et al.
• Automated Data Visualization From Natural Language Via Large Language Models: An Exploratory Study (2024) • Proceedings of the ACM on Management of Data • 24 citations
  Wu et al.
• Dynamic Contexts For Generating Suggestion Questions In RAG Based Conversational Systems (2024) • WWW '24: The ACM Web Conference 2024 • 13 citations
  Anuja Tayal, Aman Tyagi
• Code-aware Prompting: A Study Of Coverage Guided Test Generation In Regression Setting Using LLM (2024) • Proceedings of the ACM on Software Engineering • 51 citations
  Ryan et al.
• Decomposition For Enhancing Attention: Improving Llm-based Text-to-sql Through Workflow Paradigm (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 21 citations
  Xie et al.
• The Butterfly Effect Of Altering Prompts: How Small Changes And Jailbreaks Affect Large Language Model Performance (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 22 citations
  Abel Salinas, Fred Morstatter
• High-performance Automated Abstract Screening With Large Language Model Ensembles (2024) • Journal of the American Medical Informatics Association • 21 citations
  Sanghera et al.
• Exploring Knowledge Tracing In Tutor-student Dialogues Using Llms (2024) • LAK '25: The 15th International Learning Analytics and Knowledge Conference • 10 citations
  Alexander Scarlatos, Ryan S. Baker, Andrew Lan
• Automated Educational Question Generation At Different Bloom's Skill Levels Using Large Language Models: Strategies And Evaluation (2024) • Lecture Notes in Computer Science • 27 citations
  Nicy Scaria, Suma Dharani Chenna, Deepak Subramani
• Ruffle&riley: Insights From Designing And Evaluating A Large Language Model-based Conversational Tutoring System (2024) • Lecture Notes in Computer Science • 23 citations
  Schmucker et al.
• The Prompt Report: A Systematic Survey Of Prompting Techniques (2024) • No Venue
  Schulhoff et al.
• Healme: Harnessing Cognitive Reframing In Large Language Models For Psychotherapy (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Xiao et al.
• To Believe Or Not To Believe Your LLM (2024) • No Venue
  Yadkori et al.
• Wirelessllm: Empowering Large Language Models Towards Wireless Intelligence (2024) • Journal of Communications and Information Networks • 55 citations
  Shao et al.
• Efficient Prompting For Llm-based Generative Internet Of Things (2024) • IEEE Internet of Things Journal • 31 citations
  Xiao et al.
• Faithful Logical Reasoning Via Symbolic Chain-of-thought (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Xu et al.
• Sportqa: A Benchmark For Sports Understanding In Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 13 citations
  Xia et al.
• A Survey On Employing Large Language Models For Text-to-sql Tasks (2024) • ACM Computing Surveys • 21 citations
  Shi et al.
• Optimization-based Prompt Injection Attack To Llm-as-a-judge (2024) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 27 citations
  Shi et al.
• Large Language Models For Cyber Security: A Systematic Literature Review (2024) • ACM Transactions on Software Engineering and Methodology • 28 citations
  Xu et al.
• Magpie: Alignment Data Synthesis From Scratch By Prompting Aligned Llms With Nothing (2024) • No Venue
  Xu et al.
• Compositional 3d-aware Video Generation With LLM Director (2024) • No Venue
  Zhu et al.
• Abusegpt: Abuse Of Generative AI Chatbots To Create Smishing Campaigns (2024) • 2024 12th International Symposium on Digital Forensics and Security (ISDFS) • 18 citations
  Ashfak Md Shibli, Mir Mehedi A. Pritom, Maanak Gupta
• Large-scale Text-to-image Model With Inpainting Is A Zero-shot Subject-driven Image Generator (2024) • No Venue
  Shin et al.
• Design2code: How Far Are We From Automating Front-end Engineering? (2024) • No Venue
  Si et al.
• A Dataset And Benchmark For Hospital Course Summarization With Adapted Large Language Models (2024) • Journal of the American Medical Informatics Association • 17 citations
  Aali et al.
• Visfocus: Prompt-guided Vision Encoders For Ocr-free Dense Document Understanding (2024) • No Venue
  Abramovich et al.
• Xlstmtime : Long-term Time Series Forecasting With Xlstm (2024) • AI • 40 citations
  Musleh Alharthi, Ausif Mahmood
• Generative AI Literacy: Twelve Defining Competencies (2024) • Digital Government: Research and Practice • 74 citations
  Ravinithesh Annapureddy, Alessandro Fornaroli, Daniel Gatica-Perez
• Intent Detection In The Age Of Llms (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track • 10 citations
  Gaurav Arora, Shreya Jain, Srujana Merugu
• Researchagent: Iterative Research Idea Generation Over Scientific Literature With Large Language Models (2024) • Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Baek et al.
• From Generalist To Specialist: Adapting Vision Language Models Via Task-specific Visual Instruction Tuning (2024) • No Venue
  Bai et al.
• Domain-specific Retrieval-augmented Generation Using Vector Stores, Knowledge Graphs, And Tensor Factorization (2024) • 2024 International Conference on Machine Learning and Applications (ICMLA) • 11 citations
  Barron et al.
• Iris: An Ai-driven Virtual Tutor For Computer Science Education (2024) • ITiCSE 2024: Innovation and Technology in Computer Science Education • 45 citations
  Patrick Bassner, Eduard Frankford, Stephan Krusche
• Generative AI To Generate Test Data Generators (2024) • IEEE Software • 14 citations
  Baudry et al.
• Leveraging Large Language Models With Chain-of-thought And Prompt Engineering For Traffic Crash Severity Analysis And Inference (2024) • Computers • 14 citations
  Zhen et al.
• Intelligent Clinical Documentation: Harnessing Generative AI For Patient-centric Clinical Note Generation (2024) • International Journal of Innovative Science and Research Technology (IJISRT) • 48 citations
  Anjanava Biswas, Wrick Talukdar
• Perception Tokens Enhance Visual Reasoning In Multimodal Language Models (2024) • No Venue
  Bigverdi et al.
• One Step At A Time: Combining Llms And Static Analysis To Generate Next-step Hints For Programming Tasks (2024) • Koli Calling '24: 24th Koli Calling International Conference on Computing Education Research • 16 citations
  Birillo et al.
• Best Practices For Large Language Models In Radiology (2024) • Radiology • 10 citations
  Bluethgen et al.
• Could Chatgpt Get An Engineering Degree? Evaluating Higher Education Vulnerability To AI Assistants (2024) • Proceedings of the National Academy of Sciences • 20 citations
  Borges et al.
• Controlling Emotion In Text-to-speech With Natural Language Prompts (2024) • Interspeech 2024 • 12 citations
  Thomas Bott, Florian Lux, Ngoc Thang Vu
• Embedding Large Language Models Into Extended Reality: Opportunities And Challenges For Inclusion, Engagement, And Privacy (2024) • CUI '24: ACM Conversational User Interfaces 2024 • 37 citations
  Bozkir et al.
• You Name It, I Run It: An LLM Agent To Execute Tests Of Arbitrary Projects (2024) • Proceedings of the ACM on Software Engineering • 10 citations
  Islem Bouzenia, Michael Pradel
• Hypothesis Generation With Large Language Models (2024) • Proceedings of the 1st Workshop on NLP for Science (NLP4Science) • 12 citations
  Zhou et al.
• ROCKET-1: Master Open-world Interaction With Visual-temporal Context Prompting (2024) • No Venue
  Cai et al.
• Towards Educator-driven Tutor Authoring: Generative AI Approaches For Creating Intelligent Tutor Interfaces (2024) • L@S '24: Eleventh ACM Conference on Learning @ Scale • 12 citations
  Tommaso Calo, Christopher J. MacLellan
• Enhancing Recommendation Diversity By Re-ranking With Large Language Models (2024) • ACM Transactions on Recommender Systems • 25 citations
  Diego Carraro, Derek Bridge
• A Framework For Collaborating A Large Language Model Tool In Brainstorming For Triggering Creative Thoughts (2024) • Thinking Skills and Creativity • 12 citations
  Hung-Fu Chang, Tong Li
• Comm: Collaborative Multi-agent, Multi-reasoning-path Prompting For Complex Problem Solving (2024) • Findings of the Association for Computational Linguistics: NAACL 2024 • 11 citations
  Pei Chen, Boran Han, Shuai Zhang
• Mapgpt: Map-guided Prompting With Adaptive Path Planning For Vision-and-language Navigation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Chen et al.
• M\(^3\)cot: A Novel Benchmark For Multi-domain Multi-step Multi-modal Chain-of-thought (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Chen et al.
• OMPGPT: A Generative Pre-trained Transformer Model For Openmp (2024) • Lecture Notes in Computer Science • 15 citations
  Chen et al.
• Omnicreator: Self-supervised Unified Generation With Universal Editing (2024) • No Venue
  Chen et al.
• Rlingua: Improving Reinforcement Learning Sample Efficiency In Robotic Manipulations With Large Language Models (2024) • IEEE Robotics and Automation Letters • 18 citations
  Chen et al.
• Scienceagentbench: Toward Rigorous Assessment Of Language Agents For Data-driven Scientific Discovery (2024) • No Venue
  Chen et al.
• Training-free Regional Prompting For Diffusion Transformers (2024) • No Venue
  Chen et al.
• VP3D: Unleashing 2D Visual Prompt For Text-to-3d Generation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Chen et al.
• Teleclass: Taxonomy Enrichment And Llm-enhanced Hierarchical Text Classification With Minimal Supervision (2024) • WWW '25: The ACM Web Conference 2025 • 15 citations
  Zhang et al.
• Retrievalqa: Assessing Adaptive Retrieval-augmented Generation For Short-form Open-domain Question Answering (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Zihan Zhang, Meng Fang, Ling Chen
• Notellm: A Retrievable Large Language Model For Note Recommendation (2024) • WWW '24: The ACM Web Conference 2024 • 13 citations
  Zhang et al.
• In-context Principle Learning From Mistakes (2024) • No Venue
  Zhang et al.
• EVF-SAM: Early Vision-language Fusion For Text-prompted Segment Anything Model (2024) • No Venue
  Zhang et al.
• Gpt4rec: Graph Prompt Tuning For Streaming Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
  Zhang et al.
• Enhancing Multimodal Large Language Models Complex Reason Via Similarity Computation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Zhang et al.
• Extract, Define, Canonicalize: An Llm-based Framework For Knowledge Graph Construction (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 42 citations
  Bowen Zhang, Harold Soh
• Enabling On-device Llms Personalization With Smartphone Sensing (2024) • UbiComp '24: The 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing • 13 citations
  Zhang et al.
• Earthmarker: A Visual Prompting Multi-modal Large Language Model For Remote Sensing (2024) • IEEE Transactions on Geoscience and Remote Sensing • 22 citations
  Zhang et al.
• Concept-guided Prompt Learning For Generalization In Vision-language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Zhang et al.
• Do Language Models Enjoy Their Own Stories? Prompting Large Language Models For Automatic Story Evaluation (2024) • Transactions of the Association for Computational Linguistics • 13 citations
  Cyril Chhun, Fabian M. Suchanek, Chloé Clavel
• Retrieval-augmented Generation In Multilingual Settings (2024) • Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024) • 12 citations
  Chirkova et al.
• Beyond Fine-tuning: Unleashing The Potential Of Continuous Pretraining For Clinical Llms (2024) • No Venue
  Christophe et al.
• Fairness In Large Language Models: A Taxonomic Survey (2024) • ACM SIGKDD Explorations Newsletter • 43 citations
  Zhibo Chu, Zichong Wang, Wenbin Zhang
• Patchview: Llm-powered Worldbuilding With Generative Dust And Magnet Visualization (2024) • UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology • 12 citations
  John Joon Young Chung, Max Kreminski
• Large Language Model Capabilities In Perioperative Risk Prediction And Prognostication (2024) • JAMA Surgery • 77 citations
  Chung et al.
• A Chain-of-thought Prompting Approach With Llms For Evaluating Students' Formative Assessment Responses In Science (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 30 citations
  Cohn et al.
• Efficiently Exploring Large Language Models For Document-level Machine Translation With In-context Learning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Cui et al.
• Curriculum Point Prompting For Weakly-supervised Referring Image Segmentation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Qiyuan Dai, Sibei Yang
• Understanding Biases In Chatgpt-based Recommender Systems: Provider Fairness, Temporal Stability, And Recency (2024) • ACM Transactions on Recommender Systems • 29 citations
  Yashar Deldjoo
• Retrievegpt: Merging Prompts And Mathematical Models For Enhanced Code-mixed Information Retrieval (2024) • No Venue
  Aniket Deroy, Subhankar Maity
• System 2 Thinking In Openai's O1-preview Model: Near-perfect Performance On A Mathematics Exam (2024) • Computers • 17 citations
  Joost de Winter, Dimitra Dodou, Yke Bauke Eisma
• Can Llms Generate Architectural Design Decisions? -an Exploratory Empirical Study (2024) • 2024 IEEE 21st International Conference on Software Architecture (ICSA) • 28 citations
  Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma
• Llm-assisted Multi-teacher Continual Learning For Visual Question Answering In Robotic Surgery (2024) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 10 citations
  Du et al.
• Domain-agnostic Mutual Prompting For Unsupervised Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Du et al.
• Privacy In Fine-tuning Large Language Models: Attacks, Defenses, And Future Directions (2024) • Lecture Notes in Computer Science • 10 citations
  Du et al.
• Cityllava: Efficient Fine-tuning For Vlms In City Scenario (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 16 citations
  Duan et al.
• Cognitive Bias In Decision-making With Llms (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 28 citations
  Echterhoff et al.
• An Empirical Categorization Of Prompting Techniques For Large Language Models: A Practitioner's Guide (2024) • Journal of Artificial Intelligence, Machine Learning and Data Science • 12 citations
  Oluwole Fagbohun, Rachel M. Harrison, Anton Dereventsov
• What Did I Do Wrong? Quantifying Llms' Sensitivity And Consistency To Prompt Engineering (2024) • Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Errica et al.
• Analyzing Prompt Influence On Automated Method Generation: An Empirical Study With Copilot (2024) • ICPC '24: 32nd IEEE/ACM International Conference on Program Comprehension • 10 citations
  Fagadau et al.
• LLM4PLC: Harnessing Large Language Models For Verifiable Programming Of Plcs In Industrial Control Systems (2024) • ICSE-SEIP '24: 46th International Conference on Software Engineering: Software Engineering in Practice • 35 citations
  Fakih et al.
• Easyref: Omni-generalized Group Image Reference For Diffusion Models Via Multimodal LLM (2024) • No Venue
  Zong et al.
• ESALE: Enhancing Code-summary Alignment Learning For Source Code Summarization (2024) • IEEE Transactions on Software Engineering • 14 citations
  Fang et al.
• Cp-prompt: Composition-based Cross-modal Prompting For Domain-incremental Continual Learning (2024) • Proceedings of the 32nd ACM International Conference on Multimedia • 10 citations
  Feng et al.
• Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps Via Multi-llm Collaboration (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Feng et al.
• Where To Move Next: Zero-shot Generalization Of Llms For Next POI Recommendation (2024) • 2024 IEEE Conference on Artificial Intelligence (CAI) • 27 citations
  Feng et al.
• Natural Language Reinforcement Learning (2024) • No Venue
  Feng et al.
• Generative AI In Cybersecurity: A Comprehensive Review Of LLM Applications And Vulnerabilities (2024) • Internet of Things and Cyber-Physical Systems • 36 citations
  Ferrag et al.
• Model Generation With Llms: From Requirements To UML Sequence Diagrams (2024) • 2024 IEEE 32nd International Requirements Engineering Conference Workshops (REW) • 42 citations
  Alessio Ferrari, Sallam Abualhaija, Chetan Arora
• In-context Imitation Learning Via Next-token Prediction (2024) • No Venue
  Fu et al.
• The AI Assessment Scale (AIAS) In Action: A Pilot Implementation Of Genai Supported Assessment- A Preprint (2024) • Australasian Journal of Educational Technology • 24 citations
  Furze et al.
• Comfygen: Prompt-adaptive Workflows For Text-to-image Generation (2024) • No Venue
  Gal et al.
• Better Synthetic Data By Retrieving And Transforming Existing Datasets (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Gandhi et al.
• Consistent Prompting For Rehearsal-free Continual Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Zhanxin Gao, Jun Cen, Xiaobin Chang
• Llm-based NLG Evaluation: Current Status And Challenges (2024) • Computational Linguistics • 39 citations
  Gao et al.
• Promptreps: Prompting Large Language Models To Generate Dense And Sparse Representations For Zero-shot Document Retrieval (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 19 citations
  Zhuang et al.
• Audio Dialogues: Dialogues Dataset For Audio And Music Understanding (2024) • No Venue
  Goel et al.
• Injecagent: Benchmarking Indirect Prompt Injections In Tool-integrated Large Language Model Agents (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 22 citations
  Zhan et al.
• Evaluating Large Language Models For Material Selection (2024) • Journal of Computing and Information Science in Engineering • 14 citations
  Grandi et al.
• Deliberative Alignment: Reasoning Enables Safer Language Models (2024) • SuperIntelligence - Robotics - Safety & Alignment • 11 citations
  Guan et al.
• Probabilistic Medical Predictions Of Large Language Models (2024) • npj Digital Medicine • 23 citations
  Gu et al.
• An Investigation Of Large Language Models For Real-world Hate Speech Detection (2024) • 2023 International Conference on Machine Learning and Applications (ICMLA) • 14 citations
  Guo et al.
• Sam2point: Segment Any 3D As Videos In Zero-shot And Promptable Manners (2024) • No Venue
  Guo et al.
• Large Language Models Powered Context-aware Motion Prediction In Autonomous Driving (2024) • 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 12 citations
  Zheng et al.
• Assistant, Parrot, Or Colonizing Loudspeaker? Chatgpt Metaphors For Developing Critical AI Literacies (2024) • Open Praxis • 39 citations
  Gupta et al.
• PAS: Data-efficient Plug-and-play Prompt Augmentation System (2024) • No Venue
  Zheng et al.
• Chain-of-interaction: Enhancing Large Language Models For Psychiatric Behavior Understanding By Dyadic Contexts (2024) • 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI) • 14 citations
  Han et al.
• Token-budget-aware LLM Reasoning (2024) • No Venue
  Han et al.
• Dilightnet: Fine-grained Lighting Control For Diffusion-based Image Generation (2024) • No Venue
  Zeng et al.
• Chatgpt And Biometrics: An Assessment Of Face Recognition, Gender Detection, And Age Estimation Capabilities (2024) • 2024 IEEE International Conference on Image Processing (ICIP) • 11 citations
  Hassanpour et al.
• Self-rewarding Language Models (2024) • No Venue
  Yuan et al.
• Inference Scaling For Long-context Retrieval Augmented Generation (2024) • No Venue
  Yue et al.
• Olympiadbench: A Challenging Benchmark For Promoting AGI With Olympiad-level Bilingual Multimodal Scientific Problems (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  He et al.
• Harnessing Large Language Models For Training-free Video Anomaly Detection (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 48 citations
  Zanella et al.
• Can Large Language Models Make The Grade? An Empirical Study Evaluating Llms Ability To Mark Short Answer Questions In K-12 Education (2024) • L@S '24: Eleventh ACM Conference on Learning @ Scale • 23 citations
  Henkel et al.
• Visual Prompting For Generalized Few-shot Segmentation: A Multi-scale Approach (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Hossain et al.
• Evaluating Large Language Models As Virtual Annotators For Time-series Physical Sensing Data (2024) • ACM Transactions on Intelligent Systems and Technology • 12 citations
  Aritra Hota, Soumyajit Chatterjee, Sandip Chakraborty
• Retrieval Augmented Fact Verification By Synthesizing Contrastive Arguments (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Yue et al.
• DOTS: Learning To Reason Dynamically In Llms Via Optimal Reasoning Trajectories Search (2024) • No Venue
  Yue et al.
• Geocode-gpt: A Large Language Model For Geospatial Code Generation Tasks (2024) • International Journal of Applied Earth Observation and Geoinformation • 11 citations
  Hou et al.
• LLM-IE: A Python Package For Generative Information Extraction With Large Language Models (2024) • JAMIA Open • 10 citations
  Enshuo Hsu, Kirk Roberts
• Quantifying The Persona Effect In LLM Simulations (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 18 citations
  Tiancheng Hu, Nigel Collier
• Alignsam: Aligning Segment Anything Model To Open Context Via Reinforcement Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Huang et al.
• V2xum-llm: Cross-modal Video Summarization With Temporal Prompt Instruction Tuning (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 14 citations
  Hua et al.
• Generating Educational Materials With Different Levels Of Readability Using Llms (2024) • In2Writing '24: The Third Workshop on Intelligent and Interactive Writing Assistants • 17 citations
  Chieh-Yang Huang, Jing Wei, Ting-Hao 'Kenneth' Huang
• ORLM: A Customizable Framework In Training Large Models For Automated Optimization Modeling (2024) • Operations Research • 10 citations
  Huang et al.
• R-judge: Benchmarking Safety Risk Awareness For LLM Agents (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 18 citations
  Yuan et al.
• Attention Prompting On Image For Large Vision-language Models (2024) • Lecture Notes in Computer Science • 10 citations
  Runpeng Yu, Weihao Yu, Xinchao Wang
• The Promise And Challenges Of Using Llms To Accelerate The Screening Process Of Systematic Reviews (2024) • EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering • 12 citations
  Huotala et al.
• Mapcoder: Multi-agent Code Generation For Competitive Problem Solving (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 21 citations
  Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
• Medical Adaptation Of Large Language And Vision-language Models: Are We Making Progress? (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Jeong et al.
• Mitigating The Risk Of Health Inequity Exacerbated By Large Language Models (2024) • npj Digital Medicine • 15 citations
  Ji et al.
• E5-V: Universal Embeddings With Multimodal Large Language Models (2024) • No Venue
  Jiang et al.
• Genres: Rethinking Evaluation For Generative Relation Extraction In The Era Of Large Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Jiang et al.
• Leveraging Large Language Models For Learning Complex Legal Concepts Through Storytelling (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Jiang et al.
• Graph Chain-of-thought: Augmenting Large Language Models By Reasoning On Graphs (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 19 citations
  Jin et al.
• Self-harmonized Chain Of Thought (2024) • No Venue
  Ziqi Jin, Wei Lu
• Understanding The Impact Of Long-term Memory On Self-disclosure With Large Language Model-driven Chatbots For Public Health Intervention (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 39 citations
  Jo et al.
• Codeaid: Evaluating A Classroom Deployment Of An Llm-based Programming Assistant That Balances Student And Educator Needs (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 163 citations
  Kazemitabaar et al.
• Exploring The Design Space Of Cognitive Engagement Techniques With Ai-generated Code For Enhanced Learning (2024) • IUI '25: 30th International Conference on Intelligent User Interfaces • 10 citations
  Kazemitabaar et al.
• Visiongpt-3d: A Generalized Multimodal Agent For Enhanced 3D Vision Understanding (2024) • No Venue
  Kelly et al.
• Learning To Prompt With Text Only Supervision For Vision-language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Khattak et al.
• Authors' Values And Attitudes Towards Ai-bridged Scalable Personalization Of Creative Language Arts (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 16 citations
  Kim et al.
• Is GPT-4 Alone Sufficient For Automated Essay Scoring?: A Comparative Judgment Approach Based On Rater Cognition (2024) • L@S '24: Eleventh ACM Conference on Learning @ Scale • 10 citations
  Seungju Kim, Meounggun Jo
• Small Language Models Learn Enhanced Reasoning Skills From Medical Textbooks (2024) • npj Digital Medicine • 27 citations
  Kim et al.
• The Impact Of Example Selection In Few-shot Prompting On Automated Essay Scoring Using GPT Models (2024) • Communications in Computer and Information Science • 11 citations
  Lui Yoshida
• Promoai: Process Modeling With Generative AI (2024) • Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24} • 14 citations
  Kourani et al.
• Can Large Language Models Explore In-context? (2024) • No Venue
  Krishnamurthy et al.
• Traj-llm: A New Exploration For Empowering Trajectory Prediction With Pre-trained Large Language Models (2024) • IEEE Transactions on Intelligent Vehicles • 33 citations
  Lan et al.
• Large Language Models As Evolution Strategies (2024) • GECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion • 28 citations
  Robert Tjarko Lange, Yingtao Tian, Yujin Tang
• Unleashing Large Language Models' Proficiency In Zero-shot Essay Scoring (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 14 citations
  Lee et al.
• Anim-director: A Large Multimodal Model Powered Agent For Controllable Animation Video Generation (2024) • No Venue
  Li et al.
• Advancing Spatial Reasoning In Large Language Models: An In-depth Evaluation And Enhancement Using The Stepgame Benchmark (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 19 citations
  Fangjun Li, David C. Hogg, Anthony G. Cohn
• Drattack: Prompt Decomposition And Reconstruction Makes Powerful LLM Jailbreakers (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 10 citations
  Li et al.
• Llms For Relational Reasoning: How Far Are We? (2024) • LLM4Code '24: 1st International Workshop on Large Language Models for Code • 18 citations
  Li et al.
• One Prompt Word Is Enough To Boost Adversarial Robustness For Pre-trained Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Li et al.
• Multimodal Arxiv: A Dataset For Improving Scientific Comprehension Of Large Vision-language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Li et al.
• Relation Extraction Using Large Language Models: A Case Study On Acupuncture Point Locations (2024) • Journal of the American Medical Informatics Association • 25 citations
  Li et al.
• Socialgpt: Prompting Llms For Social Relation Reasoning Via Greedy Segment Optimization (2024) • No Venue
  Li et al.
• A Comparison Of Human, GPT-3.5, And GPT-4 Performance In A University-level Coding Course (2024) • Scientific Reports • 27 citations
  Will Yeadon, Alex Peach, Craig P. Testrow
• Prompt Engineering Paradigms For Medical Applications: Scoping Review And Recommendations For Better Practices (2024) • Journal of Medical Internet Research • 71 citations
  Zaghir et al.
• Ghostwriter: Augmenting Collaborative Human-ai Writing Experiences Through Personalization And Agency (2024) • No Venue
  Yeh et al.
• How Interpretable Are Reasoning Explanations From Prompting Large Language Models? (2024) • Findings of the Association for Computational Linguistics: NAACL 2024 • 12 citations
  Yeo et al.
• Mm-ego: Towards Building Egocentric Multimodal Llms (2024) • No Venue
  Ye et al.
• Physics Of Language Models: Part 2.2, How To Learn From Mistakes On Grade-school Math Problems (2024) • No Venue
  Ye et al.
• LLM Voting: Human Choices And AI Collective Decision Making (2024) • Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society • 25 citations
  Yang et al.
• Prompting Depth Anything For 4K Resolution Accurate Metric Depth Estimation (2024) • No Venue
  Lin et al.
• Navcot: Boosting Llm-based Vision-and-language Navigation Via Learning Disentangled Reasoning (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 18 citations
  Lin et al.
• A Survey Of Attacks On Large Vision-language Models: Resources, Advances, And Future Trends (2024) • IEEE Transactions on Neural Networks and Learning Systems • 15 citations
  Liu et al.
• Coarse Correspondence Elicit 3D Spacetime Understanding In Multimodal Language Model (2024) • No Venue
  Liu et al.
• Large Language Models For Networking: Workflow, Advances And Challenges (2024) • IEEE Network • 15 citations
  Liu et al.
• Era-cot: Improving Chain-of-thought Through Entity Relationship Analysis (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Liu et al.
• Fka-owl: Advancing Multimodal Fake News Detection Through Knowledge-augmented Lvlms (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 27 citations
  Liu et al.
• Integrating Chemistry Knowledge In Large Language Models Via Prompt Engineering (2024) • Synthetic and Systems Biotechnology • 28 citations
  Liu et al.
• Llmembed: Rethinking Lightweight Llm's Genuine Function In Text Classification (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Liu et al.
• Lstprompt: Large Language Models As Zero-shot Time Series Forecasters By Long-short-term Prompting (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 14 citations
  Liu et al.
• Multi-modal Attribute Prompting For Vision-language Models (2024) • IEEE Transactions on Circuits and Systems for Video Technology • 15 citations
  Liu et al.
• Mind Your Step (by Step): Chain-of-thought Can Reduce Performance On Tasks Where Thinking Makes Humans Worse (2024) • No Venue
  Liu et al.
• MOKA: Open-world Robotic Manipulation Through Mark-based Visual Prompting (2024) • Robotics: Science and Systems 2024 • 23 citations
  Liu et al.
• ST-LLM: Large Language Models Are Effective Temporal Learners (2024) • Lecture Notes in Computer Science • 26 citations
  Liu et al.
• Towards Continual Knowledge Graph Embedding Via Incremental Distillation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 19 citations
  Liu et al.
• Generative Multi-modal Knowledge Retrieval With Large Language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Long et al.
• Videodrafter: Content-consistent Multi-scene Video Generation With LLM (2024) • No Venue
  Long et al.
• Roleplay-doh: Enabling Domain-experts To Create Llm-simulated Patients Via Eliciting And Adhering To Principles (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Louie et al.
• Discovering Preference Optimization Algorithms With And For Large Language Models (2024) • No Venue
  Lu et al.
• Layoutllm: Layout Instruction Tuning With Large Language Models For Document Understanding (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
  Luo et al.
• List Items One By One: A New Data Source And Learning Paradigm For Multimodal Llms (2024) • No Venue
  Yan et al.
• Aria Everyday Activities Dataset (2024) • No Venue
  Lv et al.
• Verilogreader: Llm-aided Hardware Test Generation (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 21 citations
  Ma et al.
• Are Self-explanations From Large Language Models Faithful? (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Andreas Madsen, Sarath Chandar, Siva Reddy
• Openmedlm: Prompt Engineering Can Out-perform Fine-tuning In Medical Question-answering With Open-source Large Language Models (2024) • Scientific Reports • 65 citations
  Maharjan et al.
• A Novel Multi-stage Prompting Approach For Language Agnostic MCQ Generation Using GPT (2024) • Lecture Notes in Computer Science • 11 citations
  Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
• TR2MTL: LLM Based Framework For Metric Temporal Logic Formalization Of Traffic Rules (2024) • 2024 IEEE Intelligent Vehicle Symposium (IV) • 22 citations
  Kumar Manas, Stefan Zwicklbauer, Adrian Paschke
• Semantic Routing For Enhanced Performance Of Llm-assisted Intent-based 5G Core Network Management And Orchestration (2024) • GLOBECOM 2024 - 2024 IEEE Global Communications Conference • 11 citations
  Dimitrios Michael Manias, Ali Chouman, Abdallah Shami
• Improving Text-to-image Consistency Via Automatic Prompt Optimization (2024) • No Venue
  Mañas et al.
• Inadequacies Of Large Language Model Benchmarks In The Era Of Generative Artificial Intelligence (2024) • IEEE Transactions on Artificial Intelligence • 24 citations
  McIntosh et al.
• MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training (2024) • No Venue
  McKinzie et al.
• CACTUS: Chemistry Agent Connecting Tool-usage To Science (2024) • ACS Omega • 13 citations
  McNaughton et al.
• Frontier Models Are Capable Of In-context Scheming (2024) • Arxiv • 12 citations
  Meinke et al.
• Prompting Diverse Ideas: Increasing AI Idea Variance (2024) • SSRN Electronic Journal • 24 citations
  Lennart Meincke, Ethan R. Mollick, Christian Terwiesch
• Whiteboard-of-thought: Thinking Step-by-step Across Modalities (2024) • No Venue
  Sachit Menon, Richard Zemel, Carl Vondrick
• Morevqa: Exploring Modular Reasoning Models For Video Question Answering (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 29 citations
  Min et al.
• Kam-cot: Knowledge Augmented Multimodal Chain-of-thoughts Reasoning (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 19 citations
  Mondal et al.
• Vidprom: A Million-scale Real Prompt-gallery Dataset For Text-to-video Diffusion Models (2024) • No Venue
  Wenhao Wang, Yi Yang
• ROS-LLM: A ROS Framework For Embodied AI With Task Feedback And Structured Reasoning (2024) • No Venue
  Mower et al.
• LLM Based Multi-agent Generation Of Semi-structured Documents From Semantic Templates In The Public Administration Domain (2024) • Lecture Notes in Computer Science • 11 citations
  Musumeci et al.
• Few Shot Chain-of-thought Driven Reasoning To Prompt Llms For Open Ended Medical Question Answering (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 15 citations
  Nachane et al.
• Let Silence Speak: Enhancing Fake News Detection With Generated Comments From Large Language Models (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 28 citations
  Nan et al.
• PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge For Vlms (2024) • No Venue
  Nasiriany et al.
• A Universal Prompting Strategy For Extracting Process Model Information From Natural Language Text Using Large Language Models (2024) • Lecture Notes in Computer Science • 13 citations
  Neuberger et al.
• Contextual AI Journaling: Integrating LLM And Time Series Behavioral Sensing Technology To Promote Self-reflection And Well-being Using The Mindscape App (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 40 citations
  Nepal et al.
• Using Grammar Masking To Ensure Syntactic Validity In Llm-based Modeling Tasks (2024) • MODELS Companion '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems • 10 citations
  Lukas Netz, Jan Reimer, Bernhard Rumpe
• A Large Language Model Approach To Educational Survey Feedback Analysis (2023) • International Journal of Artificial Intelligence in Education • 30 citations
  Parker et al.
• Steering Llama 2 Via Contrastive Activation Addition (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Panickssery et al.
• ART: Automatic Multi-step Reasoning And Tool-use For Large Language Models (2023) • Arxiv • 47 citations
  Paranjape et al.
• Exploring Zero And Few-shot Techniques For Intent Classification (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track) • 17 citations
  Parikh et al.
• GPT-NER: Named Entity Recognition Via Large Language Models (2023) • Findings of the Association for Computational Linguistics: NAACL 2025 • 48 citations
  Wang et al.
• Evaluating GPT-3 Generated Explanations For Hateful Content Moderation (2023) • Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23} • 19 citations
  Wang et al.
• Unleashing Cognitive Synergy In Large Language Models: A Task-solving Agent Through Multi-persona Self-collaboration (2023) • No Venue
  Wang et al.
• Voyager: An Open-ended Embodied Agent With Large Language Models (2023) • No Venue
  Wang et al.
• Zero-shot Next-item Recommendation Using Large Pretrained Language Models (2023) • Arxiv • 22 citations
  Lei Wang, Ee-Peng Lim
• To See Is To Believe: Prompting GPT-4V For Better Visual Instruction Tuning (2023) • No Venue
  Wang et al.
• SCOTT: Self-consistent Chain-of-thought Distillation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Wang et al.
• Re-reading Improves Reasoning In Large Language Models (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Xu et al.
• Evaluating GPT-3.5 And GPT-4 Models On Brazilian University Admission Exams (2023) • Arxiv • 24 citations
  Nunes et al.
• Self-knowledge Guided Retrieval Augmentation For Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 46 citations
  Wang et al.
• Rolellm: Benchmarking, Eliciting, And Enhancing Role-playing Abilities Of Large Language Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 64 citations
  Wang et al.
• A Preliminary Evaluation Of Chatgpt For Zero-shot Dialogue Understanding (2023) • Arxiv • 21 citations
  Pan et al.
• Tokenize Anything Via Prompting (2023) • Lecture Notes in Computer Science • 23 citations
  Pan et al.
• On The Risk Of Misinformation Pollution With Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 43 citations
  Pan et al.
• Logic-lm: Empowering Large Language Models With Symbolic Solvers For Faithful Logical Reasoning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 64 citations
  Pan et al.
• Llm4vis: Explainable Visualization Recommendation Using Chatgpt (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 23 citations
  Wang et al.
• Not All Countries Celebrate Thanksgiving: On The Cultural Dominance In Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Wang et al.
• LION: Implicit Vision Prompt Tuning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Wang et al.
• Med-halt: Medical Domain Hallucination Test For Large Language Models (2023) • Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL) • 66 citations
  Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
• Thoughtsource: A Central Hub For Large Language Model Reasoning Data (2023) • Scientific Data • 28 citations
  Ott et al.
• Knowledge-infused Prompting: Assessing And Advancing Clinical Text Data Generation With Large Language Models (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 12 citations
  Xu et al.
• Metacognitive Prompting Improves Understanding In Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 13 citations
  Yuqing Wang, Yun Zhao
• \(k\)nn Prompting: Beyond-context Learning With Calibration-free Nearest Neighbor Inference (2023) • ICLR 2023 • 12 citations
  Xu et al.
• GIPCOL: Graph-injected Soft Prompting For Compositional Zero-shot Learning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 16 citations
  Guangyue Xu, Joyce Chai, Parisa Kordjamshidi
• Mental-llm: Leveraging Large Language Models For Mental Health Prediction Via Online Text Data (2023) • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies • 143 citations
  Xu et al.
• Blackvip: Black-box Visual Prompting For Robust Transfer Learning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Oh et al.
• Prompt-free Diffusion: Taking "text" Out Of Text-to-image Diffusion Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 29 citations
  Xu et al.
• LINC: A Neurosymbolic Approach For Logical Reasoning By Combining Language Models With First-order Logic Provers (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Olausson et al.
• Generative AI: Implications And Applications For Education (2023) • Arxiv • 60 citations
  Olga et al.
• Prompting Large Language Models For Topic Modeling (2023) • 2023 IEEE International Conference on Big Data (BigData) • 35 citations
  Wang et al.
• Query2doc: Query Expansion With Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 121 citations
  Liang Wang, Nan Yang, Furu Wei
• Plan-and-solve Prompting: Improving Zero-shot Chain-of-thought Reasoning By Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 172 citations
  Wang et al.
• Boosting The Power Of Small Multimodal Reasoning Models To Match Larger Models With Self-consistency Training (2023) • Lecture Notes in Computer Science • 11 citations
  Tan et al.
• When Prompt-based Incremental Learning Does Not Meet Strong Pretraining (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 27 citations
  Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng
• Llmseceval: A Dataset Of Natural Language Prompts For Security Evaluations (2023) • 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) • 31 citations
  Tony et al.
• Foundation Metrics For Evaluating Effectiveness Of Healthcare Conversations Powered By Generative AI (2023) • npj Digital Medicine • 132 citations
  Abbasian et al.
• Let The Llms Talk: Simulating Human-to-human Conversational QA Via Zero-shot Llm-to-llm Interactions (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 54 citations
  Abbasiantaeb et al.
• Debiased Fine-tuning For Vision-language Models By Prompt Regularization (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  Zhu et al.
• On Codex Prompt Engineering For OCL Generation: An Empirical Study (2023) • 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) • 29 citations
  Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
• Multi-party Goal Tracking With Llms: Comparing Pre-training, Fine-tuning, And Prompt Engineering (2023) • Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue • 11 citations
  Addlesee et al.
• From Sparse To Dense: GPT-4 Summarization With Chain Of Density Prompting (2023) • No Venue
  Adams et al.
• Masakhanews: News Topic Classification For African Languages (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Adelani et al.
• Automatic Semantic Augmentation Of Language Model Prompts (for Code Summarization) (2023) • ICSE '24: IEEE/ACM 46th International Conference on Software Engineering • 62 citations
  Ahmed et al.
• Better Patching Using LLM Prompting, Via Self-consistency (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 31 citations
  Toufique Ahmed, Premkumar Devanbu
• Collaborative Large Language Model For Recommender Systems (2023) • WWW '24: The ACM Web Conference 2024 • 62 citations
  Zhu et al.
• Struc-bench: Are Large Language Models Really Good At Generating Complex Structured Data? (2023) • No Venue
  Tang et al.
• Chatgpt Hallucinates When Attributing Answers (2023) • SIGIR-AP '23: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region • 41 citations
  Guido Zuccon, Bevan Koopman, Razia Shaik
• Antgpt: Can Large Language Models Help Long-term Action Anticipation From Videos? (2023) • No Venue
  Zhao et al.
• Can Language Models Employ The Socratic Method? Experiments With Code Debugging (2023) • SIGCSE 2024: The 55th ACM Technical Symposium on Computer Science Education • 16 citations
  Al-Hossami et al.
• Domain Knowledge Distillation From Large Language Model: An Empirical Study In The Autonomous Driving Domain (2023) • 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) • 17 citations
  Tang et al.
• Found In The Middle: Permutation Self-consistency Improves Listwise Ranking In Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Tang et al.
• Automatic Model Selection With Large Language Models For Reasoning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Zhao et al.
• Steering Large Language Models For Machine Translation With Finetuning And In-context Learning (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Alves et al.
• Segment Everything Everywhere All At Once (2023) • Arxiv • 151 citations
  Zou et al.
• Chainforge: A Visual Toolkit For Prompt Engineering And LLM Hypothesis Testing (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 88 citations
  Arawjo et al.
• Explainability For Large Language Models: A Survey (2023) • ACM Transactions on Intelligent Systems and Technology • 372 citations
  Zhao et al.
• Have Llms Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 27 citations
  Daman Arora, Himanshu Gaurav Singh, Mausam
• Large Language Models For Biomedical Knowledge Graph Construction: Information Extraction From EMR Notes (2023) • Proceedings of the 23rd Workshop on Biomedical Natural Language Processing • 10 citations
  Arsenyan et al.
• SINC: Spatial Composition Of 3D Human Motions For Simultaneous Action Generation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 35 citations
  Athanasiou et al.
• Foundational Models Defining A New Era In Vision: A Survey And Outlook (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 124 citations
  Awais et al.
• Provable Robust Watermarking For Ai-generated Text (2023) • Arxiv • 16 citations
  Zhao et al.
• Large Language Models Are Complex Table Parsers (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Zhao et al.
• Prompt-based Distribution Alignment For Unsupervised Domain Adaptation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 44 citations
  Bai et al.
• REFINER: Reasoning Feedback On Intermediate Representations (2023) • Arxiv • 31 citations
  Paul et al.
• Democratizing Llms For Low-resource Languages By Leveraging Their English Dominant Abilities With Linguistically-diverse Prompts (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Nguyen et al.
• Large Language Models As Tax Attorneys: A Case Study In Legal Capabilities Emergence (2023) • No Venue
  Nay et al.
• Chatgpt-healthprompt. Harnessing The Power Of XAI In Prompt-based Healthcare Decision Support Using Chatgpt (2023) • Communications in Computer and Information Science • 12 citations
  Fatemeh Nazary, Yashar Deldjoo, Tommaso di Noia
• Clinical Concept And Relation Extraction Using Prompt-based Machine Reading Comprehension (2023) • Journal of the American Medical Informatics Association • 27 citations
  Peng et al.
• LLM4VV: Developing Llm-driven Testsuite For Compiler Validation (2023) • Future Generation Computer Systems • 36 citations
  Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran
• Cue-cot: Chain-of-thought Prompting For Responding To In-depth Dialogue Questions With Llms (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 26 citations
  Wang et al.
• Using Chatgpt For Entity Matching (2023) • Communications in Computer and Information Science • 26 citations
  Ralph Peeters, Christian Bizer
• Large Language Model Augmented Narrative Driven Recommendations (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 36 citations
  Sheshera Mysore, Andrew McCallum, Hamed Zamani
• SA\(^2\)VP: Spatially Aligned-and-adapted Visual Prompt (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Pei et al.
• Social Biases Through The Text-to-image Generation Lens (2023) • AIES '23: AAAI/ACM Conference on AI, Ethics, and Society • 85 citations
  Ranjita Naik, Besmira Nushi
• Enable Language Models To Implicitly Learn Self-improvement From Data (2023) • No Venue
  Wang et al.
• Enhancing Few-shot Text-to-sql Capabilities Of Large Language Models: A Study On Prompt Design Strategies (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 31 citations
  Nan et al.
• Language-oriented Communication With Semantic Coding And Knowledge Distillation For Text-to-image Generation (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 25 citations
  Nam et al.
• Towards Making The Most Of Chatgpt For Machine Translation (2023) • SSRN Electronic Journal • 65 citations
  Peng et al.
• Selfcheck: Using Llms To Zero-shot Check Their Own Step-by-step Reasoning (2023) • No Venue
  Ning Miao, Yee Whye Teh, Tom Rainforth
• Large Language Models As General Pattern Machines (2023) • No Venue
  Mirchandani et al.
• Prompting The Hidden Talent Of Web-scale Speech Models For Zero-shot Task Generalization (2023) • INTERSPEECH 2023 • 34 citations
  Peng et al.
• Compositional Chain-of-thought Prompting For Large Multimodal Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 55 citations
  Mitra et al.
• Empowering Few-shot Recommender Systems With Large Language Models -- Enhanced Representations (2023) • IEEE Access • 11 citations
  Zhoumeng Wang
• Generative Speech Recognition Error Correction With Large Language Models And Task-activating Prompting (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 34 citations
  Yang et al.
• Human-centric Autonomous Systems With Llms For User Command Reasoning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) • 23 citations
  Yang et al.
• Large Language Models As Optimizers (2023) • No Venue
  Yang et al.
• Psycot: Psychological Questionnaire As Powerful Chain-of-thought For Personality Detection (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 17 citations
  Yang et al.
• Extracting Accurate Materials Data From Research Papers With Conversational Language Models And Prompt Engineering (2023) • Nature Communications • 237 citations
  MacIej P. Polak, Dane Morgan
• Automatic Prompt Optimization With "gradient Descent" And Beam Search (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 116 citations
  Pryzant et al.
• Are Chatbots Ready For Privacy-sensitive Applications? An Investigation Into Input Regurgitation And Prompt-induced Sanitization (2023) • Arxiv • 11 citations
  Priyanshu et al.
• Leveraging Large Language Models To Power Chatbots For Collecting User Self-reported Data (2023) • Proceedings of the ACM on Human-Computer Interaction • 53 citations
  Wei et al.
• De-diffusion Makes Text A Strong Cross-modal Interface (2023) • No Venue
  Wei et al.
• Adapt In Contexts: Retrieval-augmented Domain Adaptation Via In-context Learning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Quanyu Long, Wenya Wang, Sinno Jialin Pan
• The Flan Collection: Designing Data And Methods For Effective Instruction Tuning (2023) • Arxiv • 109 citations
  Longpre et al.
• Vita-clip: Video And Text Adaptive CLIP Via Multimodal Prompting (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 77 citations
  Wasim et al.
• Are Emergent Abilities In Large Language Models Just In-context Learning? (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 21 citations
  Lu et al.
• RTLLM: An Open-source Benchmark For Design RTL Generation With Large Language Model (2023) • 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC) • 122 citations
  Lu et al.
• Prompt-based Editing For Text Style Transfer (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Luo et al.
• Scalable 3D Captioning With Pretrained Models (2023) • No Venue
  Luo et al.
• Jatmo: Prompt Injection Defense By Task-specific Finetuning (2023) • Lecture Notes in Computer Science • 25 citations
  Piet et al.
• Style-aware Radiology Report Generation With Radgraph And Few-shot Prompting (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 13 citations
  Yan et al.
• Gpt4motion: Scripting Physical Motions In Text-to-video Generation Via Blender-oriented GPT Planning (2023) • No Venue
  Lv et al.
• Faithful Chain-of-thought Reasoning (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 72 citations
  Lyu et al.
• Llm-rec: Personalized Recommendation Via Prompting Large Language Models (2023) • No Venue
  Lyu et al.
• Conceptual Design Generation Using Large Language Models (2023) • ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference • 31 citations
  Ma et al.
• Chain Of Thought With Explicit Evidence Reasoning For Few-shot Relation Extraction (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Xilai Ma, Jing Li, Min Zhang
• Large Language Model Is Not A Good Few-shot Information Extractor, But A Good Reranker For Hard Samples! (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 61 citations
  Ma et al.
• Sci-cot: Leveraging Large Language Models For Enhanced Knowledge Distillation In Small Models For Scientific QA (2023) • 2023 9th International Conference on Computer and Communications (ICCC) • 11 citations
  Yuhan Ma, Haiqi Jiang, Chenyou Fan
• (why) Is My Prompt Getting Worse? Rethinking Regression Testing For Evolving LLM Apis (2023) • CAIN 2024: IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI • 13 citations
  Wanqin Ma, Chenyang Yang, Christian Kästner
• Training Chain-of-thought Via Latent-variable Inference (2023) • No Venue
  Phan et al.
• Promptinfuser: How Tightly Coupling AI And UI Design Impacts Designers' Workflows (2023) • DIS '24: Designing Interactive Systems Conference • 18 citations
  Savvas Petridis, Michael Terry, Carrie J. Cai
• Grounded Text-to-image Synthesis With Attention Refocusing (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 50 citations
  Quynh Phung, Songwei Ge, Jia-Bin Huang
• MM-REACT: Prompting Chatgpt For Multimodal Reasoning And Action (2023) • Arxiv • 78 citations
  Yang et al.
• Backdooring Instruction-tuned Large Language Models With Virtual Prompt Injection (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 30 citations
  Yan et al.
• Prompting Hard Or Hardly Prompting: Prompt Inversion For Text-to-image Diffusion Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Mahajan et al.
• Constitutionmaker: Interactively Critiquing Large Language Models By Converting Feedback Into Principles (2023) • IUI '24: 29th International Conference on Intelligent User Interfaces • 14 citations
  Petridis et al.
• Model Tuning Or Prompt Tuning? A Study Of Large Language Models For Clinical Concept And Relation Extraction (2023) • Journal of Biomedical Informatics • 51 citations
  Peng et al.
• Enhancing CLIP With GPT-4: Harnessing Visual Descriptions As Prompts (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 45 citations
  Maniparambil et al.
• Hd-painter: High-resolution And Prompt-faithful Text-guided Image Inpainting With Diffusion Models (2023) • No Venue
  Manukyan et al.
• Large Language Models Know Your Contextual Search Intent: A Prompting Framework For Conversational Search (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 28 citations
  Mao et al.
• Boosting Language Models Reasoning With Chain-of-knowledge Prompting (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Wang et al.
• Language-guided Music Recommendation For Video Via Prompt Analogies (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  McKee et al.
• Autotrial: Prompting Language Models For Clinical Trial Design (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Zifeng Wang, Cao Xiao, Jimeng Sun
• NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Mei et al.
• Vision-language Models Are Zero-shot Reward Models For Reinforcement Learning (2023) • No Venue
  Rocamonde et al.
• Sentimentgpt: Exploiting GPT For Advanced Sentiment Analysis And Its Departure From Current Machine Learning (2023) • Arxiv • 36 citations
  Kiana Kheiri, Hamid Karimi
• Dspy: Compiling Declarative Language Model Calls Into Self-improving Pipelines (2023) • No Venue
  Khattab et al.
• Self-regulating Prompts: Foundational Model Adaptation Without Forgetting (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 134 citations
  Khattak et al.
• Towards Unified Scene Text Spotting Based On Sequence Generation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Kil et al.
• Fantom: A Benchmark For Stress-testing Machine Theory Of Mind In Interactions (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Kim et al.
• LLM4SGG: Large Language Models For Weakly Supervised Scene Graph Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Kim et al.
• Which Is Better? Exploring Prompting Strategy For Llm-based Metrics (2023) • Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems • 15 citations
  Kim et al.
• Tree Of Clarifications: Answering Ambiguous Questions With Retrieval-augmented Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Kim et al.
• Residual Prompt Tuning: Improving Prompt Tuning With Residual Reparameterization (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 17 citations
  Razdaibiedina et al.
• Improving Knowledge Extraction From Llms For Task Learning Through Agent Analysis (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Kirk et al.
• GEMBA-MQM: Detecting Translation Quality Error Spans With GPT-4 (2023) • Proceedings of the Eighth Conference on Machine Translation • 22 citations
  Tom Kocmi, Christian Federmann
• Chatgpt: Jack Of All Trades, Master Of None (2023) • Information Fusion • 506 citations
  Kocoń et al.
• Better Zero-shot Reasoning With Role-play Prompting (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 99 citations
  Kong et al.
• Benchmarking Cognitive Biases In Large Language Models As Evaluators (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 17 citations
  Koo et al.
• Humans In Humans Out: On GPT Converging Toward Common Sense In Both Success And Failure (2023) • Arxiv • 11 citations
  Philipp Koralus, Vincent Wang-Maścianica
• Answering Questions By Meta-reasoning Over Multiple Chains Of Thought (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Yoran et al.
• Geotechnical Parrot Tales (GPT): Harnessing Large Language Models In Geotechnical Engineering (2023) • Journal of Geotechnical and Geoenvironmental Engineering • 27 citations
  Krishna Kumar
• Watch Your Language: Investigating Content Moderation With Large Language Models (2023) • Proceedings of the International AAAI Conference on Web and Social Media • 29 citations
  Deepak Kumar, Yousef Abuhashem, Zakir Durumeric
• Large Language Models Are Clinical Reasoners: Reasoning-aware Diagnosis Framework With Prompt-generated Rationales (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 27 citations
  Kwon et al.
• Improving Diversity Of Demographic Representation In Large Language Models Via Collective-critiques And Self-voting (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Lahoti et al.
• Visualizing Linguistic Diversity Of Text Datasets Synthesized By Large Language Models (2023) • 2023 IEEE Visualization and Visual Analytics (VIS) • 10 citations
  Emily Reif, Minsuk Kahng, Savvas Petridis
• Prompting Neural Machine Translation With Translation Memories (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Reheman et al.
• Log Parsing: How Far Can Chatgpt Go? (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 36 citations
  van-Hoang Le, Hongyu Zhang
• Codechain: Towards Modular Code Generation Through Chain Of Self-revisions With Representative Sub-modules (2023) • No Venue
  Le et al.
• Applying Large Language Models And Chain-of-thought For Automatic Scoring (2023) • Computers and Education: Artificial Intelligence • 94 citations
  Lee et al.
• Multimodal Prompting With Missing Modalities For Visual Recognition (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 104 citations
  Lee et al.
• Can Large Language Models Capture Public Opinion About Global Warming? An Empirical Assessment Of Algorithmic Fidelity And Bias (2023) • PLOS Climate • 14 citations
  Lee et al.
• Prompted Llms As Chatbot Modules For Long Open-domain Conversation (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 21 citations
  Lee et al.
• March In Chat: Interactive Prompting For Remote Embodied Referring Expression (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 25 citations
  Qiao et al.
• Tree Of Thoughts: Deliberate Problem Solving With Large Language Models (2023) • No Venue
  Yao et al.
• Exchange-of-thought: Enhancing Large Language Model Capabilities Through Cross-model Communication (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Yin et al.
• Do Gpts Produce Less Literal Translations? (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 10 citations
  Raunak et al.
• Prompttts 2: Describing And Generating Voices With Text Prompt (2023) • No Venue
  Leng et al.
• The Language Of Prompting: What Linguistic Properties Make A Prompt Successful? (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Alina Leidinger, Robert van Rooij, Ekaterina Shutova
• Acecoder: Utilizing Existing Code To Enhance Code Generation (2023) • Arxiv • 15 citations
  Li et al.
• CAMEL: Communicative Agents For "mind" Exploration Of Large Language Model Society (2023) • Arxiv • 90 citations
  Li et al.
• Cpseg: Finer-grained Image Semantic Segmentation Via Chain-of-thought Language Prompting (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 15 citations
  Lei Li
• CMMLU: Measuring Massive Multitask Language Understanding In Chinese (2023) • Arxiv • 16 citations
  Li et al.
• Codeie: Large Code Generation Models Are Better Few-shot Information Extractors (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 36 citations
  Li et al.
• Distilling Large Vision-language Model With Out-of-distribution Generalizability (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 22 citations
  Li et al.
• Efficient Multimodal Fusion Via Interactive Prompting (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 47 citations
  Li et al.
• Gradient-regulated Meta-prompt Learning For Generalizable Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 19 citations
  Li et al.
• Prompting Large Language Models For Zero-shot Domain Adaptation In Speech Recognition (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 13 citations
  Li et al.
• Revisiting Large Language Models As Zero-shot Relation Extractors (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 36 citations
  Guozheng Li, Peng Wang, Wenjun Ke
• Scigraphqa: A Large-scale Synthetic Multi-turn Question-answering Dataset For Scientific Graphs (2023) • Arxiv • 26 citations
  Shengzhi Li, Nima Tajbakhsh
• Structured Chain-of-thought Prompting For Code Generation (2023) • Arxiv • 17 citations
  Li et al.
• Symbolic Chain-of-thought Distillation: Small Models Can Also "think" Step-by-step (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Li et al.
• Visual In-context Prompting (2023) • No Venue
  Li et al.
• Lmcap: Few-shot Multilingual Image Captioning By Retrieval Augmented Language Model Prompting (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 10 citations
  Rita Ramos, Bruno Martins, Desmond Elliott
• FABULA: Intelligence Report Generation Using Retrieval-augmented Narrative Construction (2023) • ASONAM '23: International Conference on Advances in Social Networks Analysis and Mining • 10 citations
  Priyanka Ranade, Anupam Joshi
• Benchmarking And Defending Against Indirect Prompt Injection Attacks On Large Language Models (2023) • KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 16 citations
  Yi et al.
• Question Decomposition Improves The Faithfulness Of Model-generated Reasoning (2023) • No Venue
  Radhakrishnan et al.
• Prompt Engineering A Prompt Engineer (2023) • No Venue
  Ye et al.
• A Setwise Approach For Effective And Highly Efficient Zero-shot Ranking With Large Language Models (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 28 citations
  Zhuang et al.
• Beyond Yes And No: Improving Zero-shot LLM Rankers Via Scoring Fine-grained Relevance Labels (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) • 24 citations
  Zhuang et al.
• Large Language Models As Analogical Reasoners (2023) • No Venue
  Yasunaga et al.
• Prompting Multilingual Large Language Models To Generate Code-mixed Texts: The Case Of South East Asian Languages (2023) • Proceedings of the 6th Workshop on Computational Approaches to Linguistic Code-Switching • 11 citations
  Yong et al.
• Prompting Large Language Models With Chain-of-thought For Few-shot Knowledge Base Question Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Liang et al.
• GPT Detectors Are Biased Against Non-native English Writers (2023) • Patterns • 349 citations
  Liang et al.
• Exploring Large Language Models For Human Mobility Prediction Under Public Events (2023) • Computers, Environment and Urban Systems • 58 citations
  Liang et al.
• Llara: Large Language-recommendation Assistant (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 54 citations
  Liao et al.
• Clickprompt: CTR Models Are Strong Prompt Generators For Adapting Language Models To CTR Prediction (2023) • WWW '24: The ACM Web Conference 2024 • 23 citations
  Lin et al.
• Layoutprompter: Awaken The Design Ability Of Large Language Models (2023) • No Venue
  Lin et al.
• Swiftsage: A Generative Agent With Fast And Slow Thinking For Complex Interactive Tasks (2023) • Arxiv • 30 citations
  Lin et al.
• Techniques For Supercharging Academic Writing With Generative AI (2023) • Nature Biomedical Engineering • 31 citations
  Zhicheng Lin
• Think Twice: Perspective-taking Improves Large Language Models' Theory-of-mind Capabilities (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Wilf et al.
• A Prompt Pattern Catalog To Enhance Prompt Engineering With Chatgpt (2023) • Arxiv • 763 citations
  White et al.
• Chatgpt Prompt Patterns For Improving Code Quality, Refactoring, Requirements Elicitation, And Software Design (2023) • Generative AI for Effective Software Development • 164 citations
  White et al.
• Deductive Verification Of Chain-of-thought Reasoning (2023) • Arxiv • 19 citations
  Ling et al.
• G-eval: NLG Evaluation Using GPT-4 With Better Human Alignment (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 441 citations
  Liu et al.
• Federated Prompting And Chain-of-thought Reasoning For Improving Llms Answering (2023) • Lecture Notes in Computer Science • 13 citations
  Xiangyang Liu, Tianqi Pang, Chenyou Fan
• Exploring The Boundaries Of GPT-4 In Radiology (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Liu et al.
• Rethinking Tabular Data Understanding With Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 14 citations
  Tianyang Liu, Fei Wang, Muhao Chen
• Language Models As Black-box Optimizers For Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Liu et al.
• Is Chatgpt A Good Recommender? A Preliminary Study (2023) • Arxiv • 44 citations
  Liu et al.
• Jailbreaking Chatgpt Via Prompt Engineering: An Empirical Study (2023) • Arxiv • 100 citations
  Liu et al.
• Mm-safetybench: A Benchmark For Safety Evaluation Of Multimodal Large Language Models (2023) • Lecture Notes in Computer Science • 25 citations
  Liu et al.
• Recprompt: A Self-tuning Prompting Framework For News Recommendation Using Large Language Models (2023) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 10 citations
  Liu et al.
• ONCE: Boosting Content-based Recommendation With Both Open- And Closed-source Large Language Models (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 72 citations
  Liu et al.
• On The Detectability Of Chatgpt Content: Benchmarking, Methodology, And Evaluation Through The Lens Of Academic Writing (2023) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 15 citations
  Liu et al.
• Pharmacygpt: The AI Pharmacist (2023) • Arxiv • 11 citations
  Liu et al.
• Wavjourney: Compositional Audio Creation With Large Language Models (2023) • No Venue
  Liu et al.
• Large Language Models Are Effective Text Rankers With Pairwise Ranking Prompting (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 97 citations
  Qin et al.
• The Art Of SOCRATIC QUESTIONING: Recursive Thinking With Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 17 citations
  Qi et al.
• Mindmap: Knowledge Graph Prompting Sparks Graph Of Thoughts In Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 58 citations
  Yilin Wen, Zifeng Wang, Jimeng Sun
• Unveiling The Implicit Toxicity In Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Wen et al.
• Augmenting Low-resource Text Classification With Graph-grounded Pre-training And Prompting (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 42 citations
  Zhihao Wen, Yuan Fang
• Verify-and-edit: A Knowledge-enhanced Chain-of-thought Framework (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 44 citations
  Zhao et al.
• Tallrec: An Effective And Efficient Tuning Framework To Align Large Language Model With Recommendation (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 271 citations
  Bao et al.
• Prompting Language-informed Distribution For Compositional Zero-shot Learning (2023) • Lecture Notes in Computer Science • 11 citations
  Bao et al.
• Exploring Chain-of-thought Style Prompting For Text-to-sql (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Tai et al.
• Recommender Systems In The Era Of Large Language Models (llms) (2023) • IEEE Transactions on Knowledge and Data Engineering • 218 citations
  Zhao et al.
• Experimental Narratives: A Comparison Of Human Crowdsourced Storytelling And AI Storytelling (2023) • Humanities and Social Sciences Communications • 24 citations
  Nina Begus
• Revisiting Relation Extraction In The Era Of Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 102 citations
  Somin Wadhwa, Silvio Amir, Byron C. Wallace
• Graph Of Thoughts: Solving Elaborate Problems With Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 280 citations
  Besta et al.
• Are Large Language Models Geospatially Knowledgeable? (2023) • SIGSPATIAL '23: 31st ACM International Conference on Advances in Geographic Information Systems • 46 citations
  Prabin Bhandari, Antonios Anastasopoulos, Dieter Pfoser
• Unit Test Generation Using Generative AI : A Comparative Performance Analysis Of Autogeneration Tools (2023) • LLM4Code '24: 1st International Workshop on Large Language Models for Code • 25 citations
  Bhatia et al.
• Enhancing Chain-of-thoughts Prompting With Iterative Bootstrapping In Large Language Models (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 10 citations
  Sun et al.
• Can GPT-3 Perform Statutory Reasoning? (2023) • Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law • 57 citations
  Andrew Blair-Stanek, Nils Holzenberger, Benjamin van Durme
• SGL-PT: A Strong Graph Learner With Graph Prompt Tuning (2023) • Arxiv • 12 citations
  Yun Zhu, Jianhao Guo, Siliang Tang
• Bioinstruct: Instruction Tuning Of Large Language Models For Biomedical Natural Language Processing (2023) • Journal of the American Medical Informatics Association • 35 citations
  Tran et al.
• Fine-grained Affective Processing Capabilities Emerging From Large Language Models (2023) • 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII) • 17 citations
  Broekens et al.
• Principled Instructions Are All You Need For Questioning Llama-1/2, GPT-3.5/4 (2023) • No Venue
  Sondos Mahmoud Bsharat, Aidar Myrzakhan, Zhiqiang Shen
• Zeroshotdataaug: Generating And Augmenting Training Data With Chatgpt (2023) • Arxiv • 19 citations
  Solomon Ubani, Suleyman Olcay Polat, Rodney Nielsen
• Promptbench: A Unified Library For Evaluation Of Large Language Models (2023) • No Venue
  Zhu et al.
• All In One: Multi-task Prompting For Graph Neural Networks (2023) • KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 127 citations
  Sun et al.
• Just Tell Me: Prompt Engineering In Business Process Management (2023) • Lecture Notes in Business Information Processing • 57 citations
  Busch et al.
• Token-level Contrastive Learning With Modality-aware Prompting For Multimodal Intent Recognition (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Zhou et al.
• Interactive Planning Using Large Language Models For Partially Observable Robotics Tasks (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 19 citations
  Sun et al.
• Low-code LLM: Graphical User Interface Over Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations) • 10 citations
  Cai et al.
• Vip-llava: Making Large Multimodal Models Understand Arbitrary Visual Prompts (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 44 citations
  Cai et al.
• Sql-palm: Improved Large Language Modeladaptation For Text-to-sql (2023) • No Venue
  Sun et al.
• Text Classification Via Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 121 citations
  Sun et al.
• Sqlprompt: In-context Text-to-sql With Minimal Labeled Data (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Sun et al.
• Dreamdistribution: Prompt Distribution Learning For Text-to-image Diffusion Models (2023) • No Venue
  Zhao et al.
• Beautifulprompt: Towards Automatic Prompt Engineering For Text-to-image Synthesis (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 11 citations
  Cao et al.
• Probabilistic Tree-of-thought Reasoning For Answering Knowledge-intensive Complex Questions (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Cao et al.
• Prompting For Multimodal Hateful Meme Classification (2023) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 48 citations
  Cao et al.
• Dialogue Chain-of-thought Distillation For Commonsense-aware Conversational Agents (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Chae et al.
• I Spy A Metaphor: Large Language Models And Diffusion Models Co-create Visual Metaphors (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 12 citations
  Chakrabarty et al.
• Students' Voices On Generative AI: Perceptions, Benefits, And Challenges In Higher Education (2023) • International Journal of Educational Technology in Higher Education • 1157 citations
  Cecilia Ka Yuk Chan, Wenjie Hu
• Chatgpt Chemistry Assistant For Text Mining And Prediction Of MOF Synthesis (2023) • Journal of the American Chemical Society • 368 citations
  Zheng et al.
• Prompting Large Language Models With The Socratic Method (2023) • 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC) • 41 citations
  Edward Y. Chang
• Ghostbuster: Detecting Text Ghostwritten By Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 24 citations
  Verma et al.
• Autotamp: Autoregressive Task And Motion Planning With Llms As Translators And Checkers (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 64 citations
  Chen et al.
• Chatcot: Tool-augmented Chain-of-thought Reasoning On Chat-based Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 15 citations
  Chen et al.
• Evaluation Of Chatgpt Family Of Models For Biomedical Reasoning And Classification (2023) • Arxiv • 19 citations
  Chen et al.
• Dipping Plms Sauce: Bridging Structure And Text For Effective Knowledge Graph Completion Via Conditional Soft Prompting (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 30 citations
  Chen et al.
• Diagnosing Infeasible Optimization Problems Using Large Language Models (2023) • INFOR: Information Systems and Operational Research • 12 citations
  Hao Chen, Gonzalo E. Constante-Flores, Can Li
• LION : Empowering Multimodal Large Language Model With Dual-level Visual Knowledge (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Chen et al.
• Medprompt: Cross-modal Prompting For Multi-task Medical Image Translation (2023) • Lecture Notes in Computer Science • 28 citations
  Xuhang Chen, Chi-Man Pun, Shuqiang Wang
• Prompting Or Fine-tuning? A Comparative Study Of Large Language Models For Taxonomy Construction (2023) • 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) • 22 citations
  Boqi Chen, Fandi Yi, Dániel Varró
• Unleashing The Potential Of Prompt Engineering For Large Language Models (2023) • Patterns • 123 citations
  Chen et al.
• Skills-in-context Prompting: Unlocking Compositionality In Large Language Models (2023) • No Venue
  Chen et al.
• Theoremqa: A Theorem-driven Question Answering Dataset (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Chen et al.
• Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark And Empirical Study (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 88 citations
  Sui et al.
• Locally Differentially Private Document Generation Using Zero Shot Prompting (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 15 citations
  Saiteja Utpala, Sara Hooker, Pin Yu Chen
• Llms Cannot Find Reasoning Errors, But Can Correct Them Given The Error Location (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Tyen et al.
• Enhancing Summarization Performance Through Transformer-based Prompt Engineering In Automated Medical Reporting (2023) • 17th International Conference on Health Informatics • 12 citations
  Zandvoort et al.
• Radadapt: Radiology Report Summarization Via Lightweight Domain Adaptation Of Large Language Models (2023) • The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks • 16 citations
  Veen et al.
• Theory Of Mind In Large Language Models: Examining Performance Of 11 State-of-the-art Models Vs. Children Aged 7-10 On Advanced Tests (2023) • Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL) • 15 citations
  Duijn et al.
• Code Soliloquies For Accurate Calculations In Large Language Models (2023) • LAK '24: The 14th Learning Analytics and Knowledge Conference • 12 citations
  Sonkar et al.
• Set-of-mark Prompting Unleashes Extraordinary Visual Grounding In GPT-4V (2023) • No Venue
  Yang et al.
• Better Zero-shot Reasoning With Self-adaptive Prompting (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 16 citations
  Wan et al.
• Revisiting The Plastic Surgery Hypothesis Via Large Language Models (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 21 citations
  Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang
• Chatgpt For Robotics: Design Principles And Model Abilities (2023) • No Venue
  Vemprala et al.
• Multimodal Prompt Transformer With Hybrid Contrastive Learning For Emotion Recognition In Conversation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 20 citations
  Shihao Zou, Xianying Huang, Xudong Shen
• Batch Prompting: Efficient Inference With Large Language Model Apis (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 26 citations
  Zhoujun Cheng, Jungo Kasai, Tao Yu
• Adapting Large Language Models Via Reading Comprehension (2023) • No Venue
  Daixuan Cheng, Shaohan Huang, Furu Wei
• RELIC: Investigating Large Language Model Responses Using Self-consistency (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 21 citations
  Cheng et al.
• Marked Personas: Using Natural Language Prompts To Measure Stereotypes In Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 42 citations
  Myra Cheng, Esin Durmus, Dan Jurafsky
• UPRISE: Universal Prompt Retrieval For Improving Zero-shot Evaluation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Cheng et al.
• Honeybee: Progressive Instruction Finetuning Of Large Language Models For Materials Science (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Song et al.
• GEE! Grammar Error Explanation With Large Language Models (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 10 citations
  Song et al.
• Furchat: An Embodied Conversational Agent Using Llms, Combining Open And Closed-domain Dialogue With Facial Expressions (2023) • Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue • 23 citations
  Cherakara et al.
• Factllama: Optimizing Instruction-following Language Models With External Knowledge For Automated Fact-checking (2023) • 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) • 18 citations
  Tsun-Hin Cheung, Kin-Man Lam
• Contrastive Chain-of-thought Prompting (2023) • No Venue
  Chia et al.
• Towards Open-world Recommendation With Knowledge Augmentation From Large Language Models (2023) • RecSys '24: 18th ACM Conference on Recommender Systems • 75 citations
  Xi et al.
• Navigate Through Enigmatic Labyrinth A Survey Of Chain Of Thought Reasoning: Advances, Frontiers And Future (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 29 citations
  Chu et al.
• Tell Your Model Where To Attend: Post-hoc Attention Steering For Llms (2023) • No Venue
  Zhang et al.
• Towards Llm-based Fact Verification On News Claims With A Hierarchical Step-by-step Prompting Method (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 37 citations
  Xuan Zhang, Wei Gao
• The Potential And Pitfalls Of Using A Large Language Model Such As Chatgpt Or GPT-4 As A Clinical Assistant (2023) • Journal of the American Medical Informatics Association • 54 citations
  Zhang et al.
• Large Language Models In The Workplace: A Case Study On Prompt Engineering For Job Type Classification (2023) • Lecture Notes in Computer Science • 48 citations
  Clavié et al.
• Instruct Me More! Random Prompting For Visual In-context Learning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 14 citations
  Zhang et al.
• PREFER: Prompt Ensemble Learning Via Feedback-reflect-refine (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Zhang et al.
• Towards Expert-level Medical Question Answering With Large Language Models (2023) • Arxiv • 332 citations
  Singhal et al.
• Receive, Reason, And React: Drive As You Say With Large Language Models In Autonomous Vehicles (2023) • IEEE Intelligent Transportation Systems Magazine • 77 citations
  Cui et al.
• SGP-TOD: Building Task Bots Effortlessly Via Schema-guided LLM Prompting (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Zhang et al.
• Q-boost: On Visual Quality Assessment Ability Of Low-level Multi-modality Foundation Models (2023) • 2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) • 10 citations
  Zhang et al.
• Prompt, Generate, Then Cache: Cascade Of Foundation Models Makes Strong Few-shot Learners (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 129 citations
  Zhang et al.
• Choice Over Control: How Users Write With Large Language Models Using Diegetic And Non-diegetic Prompting (2023) • CHI '23: CHI Conference on Human Factors in Computing Systems • 58 citations
  Dang et al.
• Motiongpt: Finetuned Llms Are General-purpose Motion Generators (2023) • No Venue
  Zhang et al.
• Large Language Models Are Diverse Role-players For Summarization Evaluation (2023) • Lecture Notes in Computer Science • 28 citations
  Wu et al.
• Learning Expressive Prompting With Residuals For Vision Transformers (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Das et al.
• Evaluation Of GPT-3.5 And GPT-4 For Supporting Real-world Information Needs In Healthcare Delivery (2023) • Arxiv • 21 citations
  Dash et al.
• Merging Generated And Retrieved Knowledge For Open-domain QA (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Zhang et al.
• Prompt-and-align: Prompt-based Social Alignment For Few-shot Fake News Detection (2023) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 20 citations
  Wu et al.
• LLMR: Real-time Prompting Of Interactive Worlds Using Large Language Models (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 63 citations
  Torre et al.
• Prompting And Evaluating Large Language Models For Proactive Dialogues: Clarification, Target-guided, And Non-collaboration (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 28 citations
  Deng et al.
• Investigating Chain-of-thought With Chatgpt For Stance Detection On Social Media (2023) • Arxiv • 16 citations
  Zhang et al.
• Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-thought Reasoning To Language Agents (2023) • ACM Computing Surveys • 18 citations
  Zhang et al.
• Active Prompting With Chain-of-thought For Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 28 citations
  Diao et al.
• Everything Of Thoughts: Defying The Law Of Penrose Triangle For Thought Generation (2023) • No Venue
  Ding et al.
• Mapping The Design Space Of Interactions In Human-ai Text Co-creation Tasks (2023) • Arxiv • 10 citations
  Zijian Ding, Joel Chan
• Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting And Calibrated Confidence Estimation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Zhexin Zhang, Jiaxin Wen, Minlie Huang
• Extractive Summarization Via Chatgpt For Faithful Summary Generation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 61 citations
  Haopeng Zhang, Xiao Liu, Jiawei Zhang
• Cultural Bias And Cultural Alignment Of Large Language Models (2023) • PNAS Nexus • 148 citations
  Tao et al.
• Howtocaption: Prompting Llms To Transform Video Annotations At Scale (2023) • Lecture Notes in Computer Science • 15 citations
  Shvetsova et al.
• Human Learning By Model Feedback: The Dynamics Of Iterative Prompting With Midjourney (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Shachar Don-Yehiya, Leshem Choshen, Omri Abend
• Rewritelm: An Instruction-tuned Large Language Model For Text Rewriting (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 21 citations
  Shu et al.
• Can An Embodied Agent Find Your "cat-shaped Mug"? Llm-guided Exploration For Zero-shot Object Navigation (2023) • IEEE Robotics and Automation Letters • 60 citations
  Vishnu Sashank Dorbala, James F. Mullen, Dinesh Manocha
• Don't Trust Chatgpt When Your Question Is Not In English: A Study Of Multilingual Abilities And Types Of Llms (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 46 citations
  Zhang et al.
• Automatic Prompt Augmentation And Selection With Chain-of-thought From Labeled Data (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 50 citations
  Kashun Shum, Shizhe Diao, Tong Zhang
• What Does CLIP Know About A Red Circle? Visual Prompt Engineering For Vlms (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 94 citations
  Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
• Identifying And Extracting Rare Disease Phenotypes With Large Language Models (2023) • Journal of Healthcare Informatics Research • 44 citations
  Shyr et al.
• ACT-SQL: In-context Learning For Text-to-sql With Automatically-generated Chain-of-thought (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 26 citations
  Zhang et al.
• Refactoring Programs Using Large Language Models With Few-shot Examples (2023) • 2023 30th Asia-Pacific Software Engineering Conference (APSEC) • 36 citations
  Shirafuji et al.
• Ankh: Optimized Protein Language Model Unlocks General-purpose Modelling (2023) • Arxiv • 101 citations
  Elnaggar et al.
• Chatgpt4pcg Competition: Character-like Level Generation For Science Birds (2023) • 2023 IEEE Conference on Games (CoG) • 23 citations
  Taveekitworachai et al.
• Uncovering The Potential Of Chatgpt For Discourse Analysis In Dialogue: An Empirical Study (2023) • Arxiv • 12 citations
  Fan et al.
• Cost-effective In-context Learning For Entity Resolution: A Design Space Exploration (2023) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 20 citations
  Fan et al.
• Pros: Prompting-to-simulate Generalized Knowledge For Universal Cross-domain Retrieval (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Fang et al.
• Transforming Sentiment Analysis In The Financial Domain With Chatgpt (2023) • Machine Learning with Applications • 103 citations
  Fatouros et al.
• Prompting Large Language Models With Speech Recognition Abilities (2023) • No Venue
  Fathullah et al.
• Reasoning Implicit Sentiment With Chain-of-thought Prompting (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 84 citations
  Fei et al.
• Language Models Can Be Logical Solvers (2023) • No Venue
  Feng et al.
• Promptmagician: Interactive Prompt Engineering For Text-to-image Creation (2023) • IEEE Transactions on Visualization and Computer Graphics • 95 citations
  Feng et al.
• SPRING: Studying The Paper And Reasoning To Play Games (2023) • Arxiv • 10 citations
  Wu et al.
• The Devil Is In The Errors: Leveraging Large Language Models For Fine-grained Machine Translation Evaluation (2023) • Proceedings of the Eighth Conference on Machine Translation • 15 citations
  Fernandes et al.
• Leveraging GPT-4 For Food Effect Summarization To Enhance Product-specific Guidance Development Via Iterative Prompting (2023) • Journal of Biomedical Informatics • 24 citations
  Shi et al.
• Logoprompt: Synthetic Text Images Can Be Good Visual Prompts For Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Cheng Shi, Sibei Yang
• A Unified Continual Learning Framework With General Parameter-efficient Tuning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 54 citations
  Gao et al.
• Aligning And Prompting Everything All At Once For Universal Visual Perception (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Shen et al.
• Enabling Large Language Models To Generate Text With Citations (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 84 citations
  Gao et al.
• Is Chatgpt A Good Causal Reasoner? A Comprehensive Evaluation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 33 citations
  Gao et al.
• Text-to-sql Empowered By Large Language Models: A Benchmark Evaluation (2023) • Proceedings of the VLDB Endowment • 134 citations
  Gao et al.
• Vampnet: Music Generation Via Masked Acoustic Token Modeling (2023) • No Venue
  Garcia et al.
• Promptner: Prompt Locating And Typing For Named Entity Recognition (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 40 citations
  Shen et al.
• Chain-of-thought Embeddings For Stance Detection On Social Media (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Joseph Gatto, Omar Sharif, Sarah Masud Preum
• Exploring Human-like Translation Strategy With Large Language Models (2023) • Transactions of the Association for Computational Linguistics • 47 citations
  He et al.
• "do Anything Now": Characterizing And Evaluating In-the-wild Jailbreak Prompts On Large Language Models (2023) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 108 citations
  Shen et al.
• Llms4ol: Large Language Models For Ontology Learning (2023) • Lecture Notes in Computer Science • 84 citations
  Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer
• Transformative Effects Of Chatgpt On Modern Education: Emerging Era Of AI Chatbots (2023) • Internet of Things and Cyber-Physical Systems • 409 citations
  Gill et al.
• Pathfinder: Guided Search Over Multi-step Reasoning Paths (2023) • No Venue
  Golovneva et al.
• A Reliable Knowledge Processing Framework For Combustion Science Using Foundation Models (2023) • Energy and AI • 14 citations
  Vansh Sharma, Venkat Raman
• Learning To Prompt In The Classroom To Understand AI Limits: A Pilot Study (2023) • Lecture Notes in Computer Science • 46 citations
  Theophilou et al.
• Leveraging Large Language Models And Weak Supervision For Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets (2023) • Lecture Notes in Computer Science • 10 citations
  Ramya Tekumalla, Juan M. Banda
• Yes But.. Can Chatgpt Identify Entities In Historical Documents? (2023) • 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL) • 23 citations
  González-Gallardo et al.
• Mvp: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 43 citations
  Zhibin Gou, Qingyan Guo, Yujiu Yang
• Not What You've Signed Up For: Compromising Real-world Llm-integrated Applications With Indirect Prompt Injection (2023) • CCS '23: ACM SIGSAC Conference on Computer and Communications Security • 210 citations
  Greshake et al.
• Language Prompt For Autonomous Driving (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 35 citations
  Wu et al.
• A Systematic Survey Of Prompt Engineering On Vision-language Foundation Models (2023) • Arxiv • 63 citations
  Gu et al.
• Chain Of Thought Prompting Elicits Knowledge Augmentation (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 15 citations
  Dingjun Wu, Jing Zhang, Xinmei Huang
• Cheap-fake Detection With LLM Using Prompt Engineering (2023) • 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) • 23 citations
  Wu et al.
• Cohortgpt: An Enhanced GPT For Participant Recruitment In Clinical Study (2023) • Arxiv • 15 citations
  Guan et al.
• The Challenge Of Using Llms To Simulate Human Behavior: A Causal Inference Perspective (2023) • SSRN Electronic Journal • 14 citations
  George Gui, Olivier Toubia
• Connecting Large Language Models With Evolutionary Algorithms Yields Powerful Prompt Optimizers (2023) • No Venue
  Guo et al.
• Prompting GPT-3.5 For Text-to-sql With De-semanticization And Skeleton Retrieval (2023) • Lecture Notes in Computer Science • 12 citations
  Guo et al.
• Nightshade: Prompt-specific Poisoning Attacks On Text-to-image Generative Models (2023) • 2024 IEEE Symposium on Security and Privacy (SP) • 47 citations
  Shan et al.
• Deception Abilities Emerged In Large Language Models (2023) • Proceedings of the National Academy of Sciences • 49 citations
  Thilo Hagendorff
• Pive: Prompting With Iterative Verification Improving Graph-based Generative Capability Of Llms (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 12 citations
  Han et al.
• Agenttuning: Enabling Generalized Agent Abilities For Llms (2023) • No Venue
  Zeng et al.
• The Political Ideology Of Conversational AI: Converging Evidence On Chatgpt's Pro-environmental, Left-libertarian Orientation (2023) • SSRN Electronic Journal • 95 citations
  Jochen Hartmann, Jasper Schwenzow, Maximilian Witte
• Annollm: Making Large Language Models To Be Better Crowdsourced Annotators (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track) • 54 citations
  He et al.
• Improved Visual Grounding Through Self-consistent Explanations (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  He et al.
• When "A Helpful Assistant" Is Not Really Helpful: Personas In System Prompts Do Not Improve Performances Of Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 24 citations
  Zheng et al.
• An Automatically Discovered Chain-of-thought Prompt Generalizes To Novel Models And Datasets (2023) • Arxiv • 10 citations
  Hebenstreit et al.
• An Empirical Evaluation Of Using Large Language Models For Automated Unit Test Generation (2023) • IEEE Transactions on Software Engineering • 215 citations
  Schäfer et al.
• How Good Are GPT Models At Machine Translation? A Comprehensive Evaluation (2023) • Arxiv • 178 citations
  Hendy et al.
• Ignore This Title And Hackaprompt: Exposing Systemic Vulnerabilities Of Llms Through A Global Scale Prompt Hacking Competition (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Schulhoff et al.
• 3D-LLM: Injecting The 3D World Into Large Language Models (2023) • No Venue
  Hong et al.
• AMPERE: Amr-aware Prefix For Generation-based Event Argument Extraction Model (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Hsu et al.
• Large Language Models For Software Engineering: A Systematic Literature Review (2023) • ACM Transactions on Software Engineering and Methodology • 484 citations
  Hou et al.
• Automatic Engineering Of Long Prompts (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Hsieh et al.
• BLIVA: A Simple Multimodal LLM For Better Handling Of Text-rich Visual Questions (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 70 citations
  Hu et al.
• Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering (2023) • Journal of the American Medical Informatics Association • 210 citations
  Hu et al.
• Prompting Is Not A Substitute For Probability Measurements In Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 25 citations
  Jennifer Hu, Roger Levy
• Can GPT-4 Support Analysis Of Textual Data In Tasks Requiring Highly Specialized Domain Expertise? (2023) • ITiCSE 2023 Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1. June 2023. Pages 117 - 123 • 11 citations
  Savelka et al.
• Argue: Attribute-guided Prompt Tuning For Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 26 citations
  Tian et al.
• Diagnostic Reasoning Prompts Reveal The Potential For Large Language Model Interpretability In Medicine (2023) • npj Digital Medicine • 185 citations
  Savage et al.
• Automatic Evaluation Of Attribution By Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 22 citations
  Yue et al.
• Livelyspeaker: Towards Semantic-aware Co-speech Gesture Generation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 23 citations
  Zhi et al.
• How Far Are Large Language Models From Agents With Theory-of-mind? (2023) • No Venue
  Zhou et al.
• Can Large Language Models Transform Computational Social Science? (2023) • Computational Linguistics • 267 citations
  Ziems et al.
• Diversity-aware Meta Visual Prompting (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 42 citations
  Huang et al.
• Bias Testing And Mitigation In Llm-based Code Generation (2023) • ACM Transactions on Software Engineering and Methodology • 17 citations
  Huang et al.
• Not All Languages Are Created Equal In Llms: Improving Multilingual Capability By Cross-lingual-thought Prompting (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 36 citations
  Huang et al.
• Graph Neural Prompting With Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 38 citations
  Tian et al.
• Hallucination-minimized Data-to-answer Framework For Financial Decision-makers (2023) • 2023 IEEE International Conference on Big Data (BigData) • 10 citations
  Roychowdhury et al.
• Open-ended Instructable Embodied Agents With Memory-augmented Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Sarch et al.
• Chimed-gpt: A Chinese Medical Large Language Model With Full Training Regime And Better Alignment To Human Preferences (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 23 citations
  Tian et al.
• Stay On Topic With Classifier-free Guidance (2023) • No Venue
  Sanchez et al.
• Recurrentgpt: Interactive Generation Of (arbitrarily) Long Text (2023) • Arxiv • 10 citations
  Zhou et al.
• Context-faithful Prompting For Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 21 citations
  Zhou et al.
• System-level Natural Language Feedback (2023) • No Venue
  Weizhe Yuan, Kyunghyun Cho, Jason Weston
• Large Language Models Are Competitive Near Cold-start Recommenders For Language- And Item-based Preferences (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 95 citations
  Sanner et al.
• Retrieving Supporting Evidence For Generative Question Answering (2023) • SIGIR-AP '23: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region • 28 citations
  Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke
• Aligning Language Models To User Opinions (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Eunjeong Hwang, Bodhisattwa Prasad Majumder, Niket Tandon
• Mathprompter: Mathematical Reasoning Using Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track) • 89 citations
  Shima Imani, Liang Du, Harsh Shrivastava
• Multitool-cot: GPT-3 Can Use Multiple External Tools With Chain Of Thought Prompting (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 13 citations
  Inaba et al.
• Leveraging Large Language Models To Generate Answer Set Programs (2023) • 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023} • 13 citations
  Adam Ishay, Zhun Yang, Joohyung Lee
• Audiobox: Unified Audio Generation With Natural Language Prompts (2023) • No Venue
  Vyas et al.
• Freshllms: Refreshing Large Language Models With Search Engine Augmentation (2023) • No Venue
  Vu et al.
• Enhancing Zero-shot Crypto Sentiment With Fine-tuned Language Model And Prompt Engineering (2023) • IEEE Access • 19 citations
  Wahidur et al.
• GPT-4 Can Pass The Korean National Licensing Examination For Korean Medicine Doctors (2023) • PLOS Digital Health • 55 citations
  Jang et al.
• Empirical Study Of Zero-shot NER With Chatgpt (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 41 citations
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• LLM For Soc Security: A Paradigm Shift (2023) • IEEE Access • 59 citations
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• Mquake: Assessing Knowledge Editing In Language Models Via Multi-hop Questions (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 22 citations
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• Textrolspeech: A Text Style Control Speech Corpus With Codec Language Text-to-speech Models (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 13 citations
  Ji et al.
• Is Chatgpt A Good Translator? Yes With GPT-4 As The Engine (2023) • Arxiv • 310 citations
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• Let's Think Outside The Box: Exploring Leap-of-thought In Large Language Models With Creative Humor Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 15 citations
  Zhong et al.
• Delving Into Multimodal Prompting For Fine-grained Visual Classification (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 37 citations
  Jiang et al.
• Graphologue: Exploring Large Language Model Responses With Interactive Diagrams (2023) • UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology • 96 citations
  Jiang et al.
• Llmlingua: Compressing Prompts For Accelerated Inference Of Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 79 citations
  Jiang et al.
• Mixphm: Redundancy-aware Parameter-efficient Tuning For Low-resource Visual Question Answering (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Jingjing Jiang, Nanning Zheng
• Motiongpt: Human Motion As A Foreign Language (2023) • No Venue
  Jiang et al.
• The Wall Street Neophyte: A Zero-shot Analysis Of Chatgpt Over Multimodal Stock Movement Prediction Challenges (2023) • Arxiv • 23 citations
  Xie et al.
• UDAPDR: Unsupervised Domain Adaptation Via LLM Prompting And Distillation Of Rerankers (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
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• Revisiting Non-english Text Simplification: A Unified Multilingual Benchmark (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Michael J. Ryan, Tarek Naous, Wei Xu
• Solving Challenging Math Word Problems Using GPT-4 Code Interpreter With Code-based Self-verification (2023) • No Venue
  Zhou et al.
• Teaching Language Models To Self-improve Through Interactive Demonstrations (2023) • No Venue
  Yu et al.
• Multigprompt For Multi-task Pre-training And Prompting On Graphs (2023) • WWW '24: The ACM Web Conference 2024 • 23 citations
  Yu et al.
• Regen: Zero-shot Text Classification Via Training Data Generation With Progressive Dense Retrieval (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 14 citations
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• Reeval: Automatic Hallucination Evaluation For Retrieval-augmented Large Language Models Via Transferable Adversarial Attacks (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 10 citations
  Yu et al.
• Neuroprompts: An Adaptive Framework To Optimize Prompts For Text-to-image Generation (2023) • No Venue
  Shachar Rosenman, Vasudev Lal, Phillip Howard
• Cross-lingual Prompting: Improving Zero-shot Chain-of-thought Reasoning Across Languages (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
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• Synergistic Integration Of Large Language Models And Cognitive Architectures For Robust AI: An Exploratory Analysis (2023) • Proceedings of the AAAI Symposium Series • 12 citations
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• Lightweight Transformers For Clinical Natural Language Processing (2023) • Natural Language Engineering • 16 citations
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• Benchmarking Causal Study To Interpret Large Language Models For Source Code (2023) • 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME) • 11 citations
  Rodriguez-Cardenas et al.
• Red Teaming Language Models With Language Models (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 161 citations
  Perez et al.
• Decomposed Prompting: A Modular Approach For Solving Complex Tasks (2022) • Arxiv • 91 citations
  Khot et al.
• Learning To Compose Soft Prompts For Compositional Zero-shot Learning (2022) • Arxiv • 41 citations
  Nihal V. Nayak, Peilin Yu, Stephen H. Bach
• Clip-actor: Text-driven Recommendation And Stylization For Animating Human Meshes (2022) • Lecture Notes in Computer Science • 27 citations
  Kim Youwang, Kim Ji-Yeon, Tae-Hyun Oh
• Teaching Algorithmic Reasoning Via In-context Learning (2022) • Arxiv • 23 citations
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• Transpolymer: A Transformer-based Language Model For Polymer Property Predictions (2022) • npj Computational Materials • 140 citations
  Changwen Xu, Yuyang Wang, Amir Barati Farimani
• Pre-trained Language Models Can Be Fully Zero-shot Learners (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Zhao et al.
• Gpt-3-driven Pedagogical Agents For Training Children's Curious Question-asking Skills (2022) • Arxiv • 18 citations
  Abdelghani et al.
• Zeroprompt: Scaling Prompt-based Pretraining To 1,000 Tasks Improves Zero-shot Generalization (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 11 citations
  Xu et al.
• A Taxonomy Of Prompt Modifiers For Text-to-image Generation (2022) • Behaviour & Information Technology • 108 citations
  Jonas Oppenlaender
• Challenges In Measuring Bias Via Open-ended Language Generation (2022) • Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP) • 14 citations
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• On Measuring Social Biases In Prompt-based Multi-task Learning (2022) • Findings of the Association for Computational Linguistics: NAACL 2022 • 12 citations
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• Analogy Generation By Prompting Large Language Models: A Case Study Of Instructgpt (2022) • Proceedings of the 15th International Conference on Natural Language Generation • 24 citations
  Bhavya Bhavya, Jinjun Xiong, Chengxiang Zhai
• Context-tuning: Learning Contextualized Prompts For Natural Language Generation (2022) • Arxiv • 12 citations
  Tang et al.
• Expanding Language-image Pretrained Models For General Video Recognition (2022) • Lecture Notes in Computer Science • 240 citations
  Ni et al.
• Exploring Visual Prompts For Adapting Large-scale Models (2022) • Arxiv • 106 citations
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• Interleaving Retrieval With Chain-of-thought Reasoning For Knowledge-intensive Multi-step Questions (2022) • Arxiv • 16 citations
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• Grips: Gradient-free, Edit-based Instruction Search For Prompting Large Language Models (2022) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 33 citations
  Prasad et al.
• Prompt-and-rerank: A Method For Zero-shot And Few-shot Arbitrary Textual Style Transfer With Small Language Models (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Mirac Suzgun, Luke Melas-Kyriazi, Dan Jurafsky
• Prompting Is Programming: A Query Language For Large Language Models (2022) • Proceedings of the ACM on Programming Languages • 69 citations
  Luca Beurer-Kellner, Marc Fischer, Martin Vechev
• Challenging Big-bench Tasks And Whether Chain-of-thought Can Solve Them (2022) • Arxiv • 40 citations
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• Easily Accessible Text-to-image Generation Amplifies Demographic Stereotypes At Large Scale (2022) • Arxiv • 23 citations
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• GPT Takes The Bar Exam (2022) • SSRN Electronic Journal • 96 citations
  Michael Bommarito, Daniel Martin Katz
• Looking For A Handsome Carpenter! Debiasing GPT-3 Job Advertisements (2022) • Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP) • 20 citations
  Borchers et al.
• Knowledge Prompting In Pre-trained Language Model For Natural Language Understanding (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 19 citations
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• Can Large Language Models Reason About Medical Questions? (2022) • Patterns • 155 citations
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• LASP: Text-to-text Optimization For Language-aware Soft Prompting Of Vision & Language Models (2022) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 42 citations
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• Measuring And Narrowing The Compositionality Gap In Language Models (2022) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 118 citations
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• Solving Math Word Problems With Process- And Outcome-based Feedback (2022) • Arxiv • 20 citations
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• Dynamic Prompt Learning Via Policy Gradient For Semi-structured Mathematical Reasoning (2022) • Arxiv • 41 citations
  Lu et al.
• SGPT: GPT Sentence Embeddings For Semantic Search (2022) • Arxiv • 56 citations
  Niklas Muennighoff
• Re3: Generating Longer Stories With Recursive Reprompting And Revision (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 69 citations
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• Speechprompt: An Exploration Of Prompt Tuning On Generative Spoken Language Model For Speech Processing Tasks (2022) • Interspeech 2022 • 25 citations
  Chang et al.
• Compositional Visual Generation With Composable Diffusion Models (2022) • Lecture Notes in Computer Science • 212 citations
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• Visual Prompting For Adversarial Robustness (2022) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 18 citations
  Chen et al.
• Adaprompt: Adaptive Model Training For Prompt-based NLP (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 37 citations
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• Convfinqa: Exploring The Chain Of Numerical Reasoning In Conversational Finance Question Answering (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 44 citations
  Chen et al.
• Large Language Models Are Few(1)-shot Table Reasoners (2022) • Findings of the Association for Computational Linguistics: EACL 2023 • 47 citations
  Wenhu Chen
• Multilingual Relation Classification Via Efficient And Effective Prompting (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Yuxuan Chen, David Harbecke, Leonhard Hennig
• Program Of Thoughts Prompting: Disentangling Computation From Reasoning For Numerical Reasoning Tasks (2022) • Arxiv • 110 citations
  Chen et al.
• Large Language Models Are Better Reasoners With Self-verification (2022) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 56 citations
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• Iteratively Prompt Pre-trained Language Models For Chain Of Thought (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 35 citations
  Boshi Wang, Xiang Deng, Huan Sun
• KECP: Knowledge Enhanced Contrastive Prompting For Few-shot Extractive Question Answering (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Wang et al.
• Extracting Latent Steering Vectors From Pretrained Language Models (2022) • Findings of the Association for Computational Linguistics: ACL 2022 • 13 citations
  Nishant Subramani, Nivedita Suresh, Matthew E. Peters
• Reasoning With Language Model Prompting: A Survey (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 80 citations
  Qiao et al.
• Interactive And Visual Prompt Engineering For Ad-hoc Task Adaptation With Large Language Models (2022) • IEEE Transactions on Visualization and Computer Graphics • 117 citations
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• Continual Prompt Tuning For Dialog State Tracking (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 35 citations
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• An Information-theoretic Approach To Prompt Engineering Without Ground Truth Labels (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 99 citations
  Sorensen et al.
• Dualprompt: Complementary Prompting For Rehearsal-free Continual Learning (2022) • Lecture Notes in Computer Science • 315 citations
  Wang et al.
• Pointclip V2: Prompting CLIP And GPT For Powerful 3D Open-world Learning (2022) • Arxiv • 22 citations
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• Towards Unified Conversational Recommender Systems Via Knowledge-enhanced Prompt Learning (2022) • KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 105 citations
  Wang et al.
• Coda-prompt: Continual Decomposed Attention-based Prompting For Rehearsal-free Continual Learning (2022) • Arxiv • 13 citations
  Smith et al.
• Are Prompt-based Models Clueless? (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Pride Kavumba, Ryo Takahashi, Yusuke Oda
• Maieutic Prompting: Logically Consistent Reasoning With Recursive Explanations (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 68 citations
  Jung et al.
• What GPT Knows About Who Is Who (2022) • Proceedings of the Third Workshop on Insights from Negative Results in NLP • 18 citations
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• Biobart: Pretraining And Evaluation Of A Biomedical Generative Language Model (2022) • Proceedings of the 21st Workshop on Biomedical Language Processing • 108 citations
  Yuan et al.
• Data Augmentation For Intent Classification With Off-the-shelf Large Language Models (2022) • Proceedings of the 4th Workshop on NLP for Conversational AI • 38 citations
  Sahu et al.
• Prompting For Multi-modal Tracking (2022) • Proceedings of the 30th ACM International Conference on Multimedia • 123 citations
  Yang et al.
• Chatgpt Makes Medicine Easy To Swallow: An Exploratory Case Study On Simplified Radiology Reports (2022) • Arxiv • 105 citations
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• Phrase-level Textual Adversarial Attack With Label Preservation (2022) • Findings of the Association for Computational Linguistics: NAACL 2022 • 20 citations
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• IDPG: An Instance-dependent Prompt Generation Method (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 19 citations
  Wu et al.
• Least-to-most Prompting Enables Complex Reasoning In Large Language Models (2022) • Arxiv • 317 citations
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• Transformer Feed-forward Layers Build Predictions By Promoting Concepts In The Vocabulary Space (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 39 citations
  Geva et al.
• Demystifying Prompts In Language Models Via Perplexity Estimation (2022) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 51 citations
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• Toxicity Detection With Generative Prompt-based Inference (2022) • Arxiv • 12 citations
  Yau-Shian Wang, Yingshan Chang
• The Unreliability Of Explanations In Few-shot Prompting For Textual Reasoning (2022) • Arxiv • 52 citations
  Xi Ye, Greg Durrett
• Texts As Images In Prompt Tuning For Multi-label Image Recognition (2022) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 58 citations
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• CAPE: Corrective Actions From Precondition Errors Using Large Language Models (2022) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 13 citations
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• Socratic Models: Composing Zero-shot Multimodal Reasoning With Language (2022) • Arxiv • 170 citations
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• Teaching Small Language Models To Reason (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 56 citations
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• Optimizing Prompts For Text-to-image Generation (2022) • Arxiv • 38 citations
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• Toxigen: A Large-scale Machine-generated Dataset For Adversarial And Implicit Hate Speech Detection (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 131 citations
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• Large Language Models Are Reasoning Teachers (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 50 citations
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• Structured Like A Language Model: Analysing AI As An Automated Subject (2022) • Big Data & Society • 27 citations
  Liam Magee, Vanicka Arora, Luke Munn
• Instruction Induction: From Few Examples To Natural Language Task Descriptions (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Honovich et al.
• Unnatural Instructions: Tuning Language Models With (almost) No Human Labor (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 54 citations
  Honovich et al.
• Metaprompting: Learning To Learn Better Prompts (2022) • Arxiv • 13 citations
  Hou et al.
• Inverse Is Better! Fast And Accurate Prompt For Few-shot Slot Tagging (2022) • Findings of the Association for Computational Linguistics: ACL 2022 • 18 citations
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• MILAN: Masked Image Pretraining On Language Assisted Representation (2022) • Arxiv • 26 citations
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• A Fine-grained Comparison Of Pragmatic Language Understanding In Humans And Language Models (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Hu et al.
• Conditional Prompt Learning For Vision-language Models (2022) • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 1236 citations
  Zhou et al.
• Chain Of Explanation: New Prompting Method To Generate Higher Quality Natural Language Explanation For Implicit Hate Speech (2022) • WWW '23: The ACM Web Conference 2023 • 13 citations
  Fan Huang, Haewoon Kwak, Jisun An
• Large Language Models Can Self-improve (2022) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 106 citations
  Huang et al.
• Self-supervised Vision-language Pretraining For Medical Visual Question Answering (2022) • 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) • 59 citations
  Li et al.
• Ordinalclip: Learning Rank Prompts For Language-guided Ordinal Regression (2022) • Arxiv • 10 citations
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• Making Large Language Models Better Reasoners With Step-aware Verifier (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 41 citations
  Li et al.
• Qaner: Prompting Question Answering Models For Few-shot Named Entity Recognition (2022) • Arxiv • 27 citations
  Liu et al.
• Incremental Prompting: Episodic Memory Prompt For Lifelong Event Detection (2022) • Arxiv • 12 citations
  Minqian Liu, Shiyu Chang, Lifu Huang
• Prompting Palm For Translation: Assessing Strategies And Performance (2022) • Arxiv • 15 citations
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• Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 11 citations
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• Large Language Models Encode Clinical Knowledge (2022) • Nature • 2257 citations
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• How To Prompt? Opportunities And Challenges Of Zero- And Few-shot Learning For Human-ai Interaction In Creative Applications Of Generative Models (2022) • Arxiv • 88 citations
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• The Infinite Index: Information Retrieval On Generative Text-to-image Models (2022) • CHIIR '23: ACM SIGIR Conference on Human Information Interaction and Retrieval • 23 citations
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• What Do Llms Know About Financial Markets? A Case Study On Reddit Market Sentiment Analysis (2022) • WWW '23: The ACM Web Conference 2023 • 31 citations
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• Rlprompt: Optimizing Discrete Text Prompts With Reinforcement Learning (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 75 citations
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• Conversing With Copilot: Exploring Prompt Engineering For Solving CS1 Problems Using Natural Language (2022) • SIGCSE 2023: The 54th ACM Technical Symposium on Computer Science Education • 222 citations
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• LIFT: Language-interfaced Fine-tuning For Non-language Machine Learning Tasks (2022) • Arxiv • 33 citations
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• Automatic Multi-label Prompting: Simple And Interpretable Few-shot Classification (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 15 citations
  Han Wang, Canwen Xu, Julian McAuley
• Learning To Prompt For Open-vocabulary Object Detection With Vision-language Model (2022) • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 267 citations
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• E-care: A New Dataset For Exploring Explainable Causal Reasoning (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 28 citations
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• Successive Prompting For Decomposing Complex Questions (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 33 citations
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• Wenet 2.0: More Productive End-to-end Speech Recognition Toolkit (2022) • Interspeech 2022 • 91 citations
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• Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners By Clustering Representations (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 10 citations
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• Artificial Intelligence For Health Message Generation: Theory, Method, And An Empirical Study Using Prompt Engineering (2022) • Frontiers in Communication • 71 citations
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• UL2: Unifying Language Learning Paradigms (2022) • Arxiv • 97 citations
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• Transcending Scaling Laws With 0.1% Extra Compute (2022) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 14 citations
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• Bigbio: A Framework For Data-centric Biomedical Natural Language Processing (2022) • Arxiv • 12 citations
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• Complexity-based Prompting For Multi-step Reasoning (2022) • Arxiv • 73 citations
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• XRICL: Cross-lingual Retrieval-augmented In-context Learning For Cross-lingual Text-to-sql Semantic Parsing (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 17 citations
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• Ontology-enhanced Prompt-tuning For Few-shot Learning (2022) • Proceedings of the ACM Web Conference 2022 • 59 citations
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• Prompt For Extraction? PAIE: Prompting Argument Interaction For Event Argument Extraction (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 114 citations
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• Planning With Learned Entity Prompts For Abstractive Summarization (2021) • Transactions of the Association for Computational Linguistics • 40 citations
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• How Many Data Points Is A Prompt Worth? (2021) • Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 46 citations
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• Recent Advances In Natural Language Processing Via Large Pre-trained Language Models: A Survey (2021) • ACM Computing Surveys • 899 citations
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• The Power Of Scale For Parameter-efficient Prompt Tuning (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 94 citations
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• Prompting Visual-language Models For Efficient Video Understanding (2021) • Lecture Notes in Computer Science • 261 citations
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• Reframing Instructional Prompts To Gptk's Language (2021) • Findings of the Association for Computational Linguistics: ACL 2022 • 41 citations
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• Denseclip: Language-guided Dense Prediction With Context-aware Prompting (2021) • Arxiv • 37 citations
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• Discrete And Soft Prompting For Multilingual Models (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 16 citations
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• A General Language Assistant As A Laboratory For Alignment (2021) • Arxiv • 27 citations
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• MSP: Multi-stage Prompting For Making Pre-trained Language Models Better Translators (2021) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
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• Dialogue State Tracking With A Language Model Using Schema-driven Prompting (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 39 citations
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• A Recipe For Arbitrary Text Style Transfer With Large Language Models (2021) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 35 citations
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• Exploring Prompt-based Few-shot Learning For Grounded Dialog Generation (2021) • Arxiv • 27 citations
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• Controllable Generation From Pre-trained Language Models Via Inverse Prompting (2021) • KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 21 citations
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• Pre-trained Language Model For Web-scale Retrieval In Baidu Search (2021) • KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 40 citations
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• Generated Knowledge Prompting For Commonsense Reasoning (2021) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 105 citations
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• GPT Understands, Too (2021) • AI Open • 444 citations
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• Openprompt: An Open-source Framework For Prompt-learning (2021) • Arxiv • 64 citations
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• Align And Prompt: Video-and-language Pre-training With Entity Prompts (2021) • Arxiv • 17 citations
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• A Neural Network Solves, Explains, And Generates University Math Problems By Program Synthesis And Few-shot Learning At Human Level (2021) • Proceedings of the National Academy of Sciences • 74 citations
  Drori et al.
• Prefix-tuning: Optimizing Continuous Prompts For Generation (2021) • Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) • 1204 citations
  Xiang Lisa Li, Percy Liang
• Noisy Channel Language Model Prompting For Few-shot Text Classification (2021) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 50 citations
  Min et al.
• Symbolic Knowledge Distillation: From General Language Models To Commonsense Models (2021) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 57 citations
  West et al.
• Clip-adapter: Better Vision-language Models With Feature Adapters (2021) • International Journal of Computer Vision • 689 citations
  Gao et al.
• Unsupervised Multimodal Neural Machine Translation With Pseudo Visual Pivoting (2020) • Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics • 21 citations
  Huang et al.
• DUMA: Reading Comprehension With Transposition Thinking (2020) • IEEE/ACM Transactions on Audio, Speech, and Language Processing • 33 citations
  Pengfei Zhu, Hai Zhao, Xiaoguang Li
• Toxicity Detection: Does Context Really Matter? (2020) • Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics • 52 citations
  Pavlopoulos et al.
• Evaluating Commonsense In Pre-trained Language Models (2019) • Proceedings of the AAAI Conference on Artificial Intelligence • 50 citations
  Zhou et al.
• Improving End-to-end Sequential Recommendations With Intent-aware Diversification (2019) • CIKM '20: The 29th ACM International Conference on Information and Knowledge Management • 57 citations
  Chen et al.
• The Photobook Dataset: Building Common Ground Through Visually-grounded Dialogue (2019) • Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics • 14 citations
  Haber et al.
• Better Conversations By Modeling,filtering,and Optimizing For Coherence And Diversity (2018) • Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Xu et al.
• A Skeleton-based Model For Promoting Coherence Among Sentences In Narrative Story Generation (2018) • Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing • 22 citations
  Xu et al.
• Intent Detection And Slots Prompt In A Closed-domain Chatbot (2018) • 2019 IEEE 13th International Conference on Semantic Computing (ICSC) • 18 citations
  Amber Nigam, Prashik Sahare, Kushagra Pandya

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— R —

RAG 315 papers #

• MRAG: Benchmarking Retrieval-augmented Generation For Bio-medicine (2026) • Findings of the Association for Computational Linguistics ACL 2024 • 139 citations
  Wei Zhu
• Parallel Context-of-experts Decoding For Retrieval Augmented Generation (2026) • No Venue
  Giulio Corallo, Paolo Papotti
• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
• Agentic-r: Learning To Retrieve For Agentic Search (2026) • No Venue
  Liu et al.
• NAACL: Noise-aware Verbal Confidence Calibration For Llms In RAG Systems (2026) • No Venue
  Liu et al.
• Vidore V3: A Comprehensive Evaluation Of Retrieval Augmented Generation In Complex Real-world Scenarios (2026) • No Venue
  Loison et al.
• Opendecoder: Open Large Language Model Decoding To Incorporate Document Quality In RAG (2026) • No Venue
  Mo et al.
• Agentic Very Long Video Understanding (2026) • No Venue
  Rege et al.
• FABLE: Forest-based Adaptive Bi-path Llm-enhanced Retrieval For Multi-document Reasoning (2026) • No Venue
  Sun et al.
• Knowme-bench: Benchmarking Person Understanding For Lifelong Digital Companions (2026) • No Venue
  Wu et al.
• Improving Multi-step RAG With Hypergraph-based Memory For Long-context Complex Relational Modeling (2025) • No Venue
  Zhou et al.
• End-to-end Agentic RAG System Training For Traceable Diagnostic Reasoning (2025) • No Venue
  Zheng et al.
• MIRIAD: Augmenting Llms With Millions Of Medical Query-response Pairs (2025) • No Venue
  Zheng et al.
• Universalrag: Retrieval-augmented Generation Over Multiple Corpora With Diverse Modalities And Granularities (2025) • No Venue
  Yeo et al.
• LUMINA: Detecting Hallucinations In RAG System With Context-knowledge Signals (2025) • No Venue
  Min-Hsuan Yeh, Yixuan Li, Tanwi Mallick
• CLEAR: Error Analysis Via Llm-as-a-judge Made Easy (2025) • No Venue
  Yehudai et al.
• PRELUDE: A Benchmark Designed To Require Global Comprehension And Reasoning Over Long Contexts (2025) • No Venue
  Yu et al.
• Med-prm: Medical Reasoning Models With Stepwise, Guideline-verified Process Rewards (2025) • No Venue
  Yun et al.
• Neuro-symbolic Query Compiler (2025) • No Venue
  Zhang et al.
• Towards Mixed-modal Retrieval For Universal Retrieval-augmented Generation (2025) • No Venue
  Zhang et al.
• Ask In Any Modality: A Comprehensive Survey On Multimodal Retrieval-augmented Generation (2025) • No Venue
  Abootorabi et al.
• Personalized Graph-based Retrieval For Large Language Models (2025) • No Venue
  Au et al.
• Exploiting Instruction-following Retrievers For Malicious Information Retrieval (2025) • No Venue
  Parishad Behnamghader, Nicholas Meade, Siva Reddy
• Multi-task Retriever Fine-tuning For Domain-specific And Efficient RAG (2025) • No Venue
  Patrice Béchard, Orlando Marquez Ayala
• Video Simpleqa: Towards Factuality Evaluation In Large Video Language Models (2025) • No Venue
  Cao et al.
• Qilin: A Multimodal Information Retrieval Dataset With App-level User Sessions (2025) • No Venue
  Chen et al.
• Wikontic: Constructing Wikidata-aligned, Ontology-aware Knowledge Graphs With Large Language Models (2025) • No Venue
  Chepurova et al.
• Mem0: Building Production-ready AI Agents With Scalable Long-term Memory (2025) • No Venue
  Chhikara et al.
• Command A: An Enterprise-ready Large Language Model (2025) • No Venue
  Cohere et al.
• Beyond RAG: Task-aware KV Cache Compression For Comprehensive Knowledge Reasoning (2025) • No Venue
  Corallo et al.
• Rezero: Enhancing LLM Search Ability By Trying One-more-time (2025) • No Venue
  Alan Dao, Thinh Le
• MV-RAG: Retrieval Augmented Multiview Diffusion (2025) • No Venue
  Yosef Dayani, Omer Benishu, Sagie Benaim
• PHYSICS: Benchmarking Foundation Models On University-level Physics Problem Solving (2025) • No Venue
  Feng et al.
• The Aloe Family Recipe For Open And Specialized Healthcare Llms (2025) • No Venue
  Garcia-Gasulla et al.
• Webwatcher: Breaking New Frontier Of Vision-language Deep Research Agent (2025) • No Venue
  Geng et al.
• Drugreasoner: Interpretable Drug Approval Prediction With A Reasoning-augmented Language Model (2025) • No Venue
  Ghaffarzadeh-Esfahani et al.
• Deeprag: Thinking To Retrieval Step By Step For Large Language Models (2025) • No Venue
  Guan et al.
• Rag-anything: All-in-one RAG Framework (2025) • No Venue
  Guo et al.
• From RAG To Memory: Non-parametric Continual Learning For Large Language Models (2025) • No Venue
  Gutiérrez et al.
• Mdocagent: A Multi-modal Multi-agent Framework For Document Understanding (2025) • No Venue
  Han et al.
• Chronoplay: A Framework For Modeling Dual Dynamics And Authenticity In Game RAG Benchmarks (2025) • No Venue
  He et al.
• Clara: Bridging Retrieval And Generation With Continuous Latent Reasoning (2025) • No Venue
  He et al.
• Evaluating Memory In LLM Agents Via Incremental Multi-turn Interactions (2025) • No Venue
  Yuanzhe Hu, Yu Wang, Julian McAuley
• Memory In The Age Of AI Agents (2025) • No Venue
  Hu et al.
• MCTS-RAG: Enhancing Retrieval-augmented Generation With Monte Carlo Tree Search (2025) • No Venue
  Hu et al.
• Spectrum Projection Score: Aligning Retrieved Summaries With Reader Models In Retrieval-augmented Generation (2025) • No Venue
  Hu et al.
• Reinforced Internal-external Knowledge Synergistic Reasoning For Efficient Adaptive Search Agent (2025) • No Venue
  Huang et al.
• Wikipedia In The Era Of Llms: Evolution And Risks (2025) • No Venue
  Huang et al.
• Videorag: Retrieval-augmented Generation Over Video Corpus (2025) • No Venue
  Jeong et al.
• When Thoughts Meet Facts: Reusable Reasoning For Long-context Lms (2025) • No Venue
  Jeong et al.
• S3: You Don't Need That Much Data To Train A Search Agent Via RL (2025) • No Venue
  Jiang et al.
• Lettucedetect: A Hallucination Detection Framework For RAG Applications (2025) • No Venue
  Ádám Kovács, Gábor Recski
• Experience Is The Best Teacher: Grounding Vlms For Robotics Through Self-generated Memory (2025) • No Venue
  Lan et al.
• Llave: Large Language And Vision Embedding Models With Hardness-weighted Contrastive Learning (2025) • No Venue
  Lan et al.
• Even Small Reasoners Should Quote Their Sources: Introducing The Pleias-rag Model Family (2025) • No Venue
  Langlais et al.
• Rearag: Knowledge-guided Reasoning Enhances Factuality Of Large Reasoning Models With Iterative Retrieval Augmented Generation (2025) • No Venue
  Lee et al.
• More Documents, Same Length: Isolating The Challenge Of Multiple Documents In RAG (2025) • No Venue
  Levy et al.
• Deepcode: Open Agentic Coding (2025) • No Venue
  Li et al.
• CRINN: Contrastive Reinforcement Learning For Approximate Nearest Neighbor Search (2025) • No Venue
  Li et al.
• Memos: A Memory OS For AI System (2025) • No Venue
  Li et al.
• Mindscape-aware Retrieval Augmented Generation For Improved Long Context Understanding (2025) • No Venue
  Li et al.
• Search-o1: Agentic Search-enhanced Large Reasoning Models (2025) • No Venue
  Li et al.
• Retrieval-augmented Large Language Models For Financial Time Series Forecasting (2025) • No Venue
  Xiao et al.
• Noderag: Structuring Graph-based RAG With Heterogeneous Nodes (2025) • No Venue
  Xu et al.
• Comorag: A Cognitive-inspired Memory-organized RAG For Stateful Long Narrative Reasoning (2025) • No Venue
  Wang et al.
• CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark (2025) • No Venue
  Wang et al.
• Mmlongbench: Benchmarking Long-context Vision-language Models Effectively And Thoroughly (2025) • No Venue
  Wang et al.
• Knowledge Graph Retrieval-augmented Generation For Llm-based Recommendation (2025) • Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Wang et al.
• MIRIX: Multi-agent Memory System For Llm-based Agents (2025) • No Venue
  Yu Wang, Xi Chen
• Scholarcopilot: Training Large Language Models For Academic Writing With Accurate Citations (2025) • No Venue
  Wang et al.
• Sciver: Evaluating Foundation Models For Multimodal Scientific Claim Verification (2025) • No Venue
  Wang et al.
• Vidorag: Visual Document Retrieval-augmented Generation Via Dynamic Iterative Reasoning Agents (2025) • No Venue
  Wang et al.
• VRAG-RL: Empower Vision-perception-based RAG For Visually Rich Information Understanding Via Iterative Reasoning With Reinforcement Learning (2025) • No Venue
  Wang et al.
• Rank1: Test-time Compute For Reranking In Information Retrieval (2025) • No Venue
  Weller et al.
• Webwalker: Benchmarking Llms In Web Traversal (2025) • No Venue
  Wu et al.
• Mmsearch-r1: Incentivizing Lmms To Search (2025) • No Venue
  Wu et al.
• Step-audio 2 Technical Report (2025) • No Venue
  Wu et al.
• Sitemb-v1.5: Improved Context-aware Dense Retrieval For Semantic Association And Long Story Comprehension (2025) • No Venue
  Wu et al.
• Think-on-graph 3.0: Efficient And Adaptive LLM Reasoning On Heterogeneous Graphs Via Multi-agent Dual-evolving Context Retrieval (2025) • No Venue
  Wu et al.
• Omnithink: Expanding Knowledge Boundaries In Machine Writing Through Thinking (2025) • No Venue
  Xi et al.
• UNIDOC-BENCH: A Unified Benchmark For Document-centric Multimodal RAG (2025) • No Venue
  Peng et al.
• AR-RAG: Autoregressive Retrieval Augmentation For Image Generation (2025) • No Venue
  Qi et al.
• Animeshooter: A Multi-shot Animation Dataset For Reference-guided Video Generation (2025) • No Venue
  Qiu et al.
• Thinking Beyond Tokens: From Brain-inspired Intelligence To Cognitive Foundations For Artificial General Intelligence And Its Societal Impact (2025) • No Venue
  Qureshi et al.
• Beyond Fact Retrieval: Episodic Memory For RAG With Generative Semantic Workspaces (2025) • No Venue
  Rajesh et al.
• Dota-rag: Dynamic Of Thought Aggregation RAG (2025) • No Venue
  Ruangtanusak et al.
• Quim-rag: Advancing Retrieval-augmented Generation With Inverted Question Matching For Enhanced QA Performance (2025) • IEEE Access • 16 citations
  Binita Saha, Utsha Saha, Muhammad Zubair Malik
• AI Agents Vs. Agentic AI: A Conceptual Taxonomy, Applications And Challenge (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Imagerag: Dynamic Image Retrieval For Reference-guided Image Generation (2025) • No Venue
  Shalev-Arkushin et al.
• Reasonir: Training Retrievers For Reasoning Tasks (2025) • No Venue
  Shao et al.
• Are We On The Right Way For Assessing Document Retrieval-augmented Generation? (2025) • No Venue
  Shen et al.
• Qwenlong-cprs: Towards Infty-llms With Dynamic Context Optimization (2025) • No Venue
  Shen et al.
• Searchrag: Can Search Engines Be Helpful For Llm-based Medical Question Answering? (2025) • No Venue
  Shi et al.
• Learn-by-interact: A Data-centric Framework For Self-adaptive Agents In Realistic Environments (2025) • No Venue
  Su et al.
• Grouprank: A Groupwise Reranking Paradigm Driven By Reinforcement Learning (2025) • No Venue
  Sun et al.
• HANRAG: Heuristic Accurate Noise-resistant Retrieval-augmented Generation For Multi-hop Question Answering (2025) • No Venue
  Sun et al.
• Hiersearch: A Hierarchical Enterprise Deep Search Framework Integrating Local And Web Searches (2025) • No Venue
  Tan et al.
• Metachain: A Fully-automated And Zero-code Framework For LLM Agents (2025) • No Venue
  Jiabin Tang, Tianyu Fan, Chao Huang
• Code Graph Model (CGM): A Graph-integrated Large Language Model For Repository-level Software Engineering Tasks (2025) • No Venue
  Tao et al.
• Turk-lettucedetect: A Hallucination Detection Models For Turkish RAG Applications (2025) • No Venue
  Taş et al.
• Vision-guided Chunking Is All You Need: Enhancing RAG With Multimodal Document Understanding (2025) • No Venue
  Tripathi et al.
• Enhancing Health Information Retrieval With RAG By Prioritizing Topical Relevance And Factual Accuracy (2025) • Discover Computing • 13 citations
  Rishabh Uapadhyay, Marco Viviani
• Guided Decoding And Its Critical Role In Retrieval-augmented Generation (2025) • No Venue
  Uğur et al.
• Webweaver: Structuring Web-scale Evidence With Dynamic Outlines For Open-ended Deep Research (2025) • No Venue
  Li et al.
• Dataflow: An Llm-driven Framework For Unified Data Preparation And Workflow Automation In The Era Of Data-centric AI (2025) • No Venue
  Liang et al.
• Saferag: Benchmarking Security In Retrieval-augmented Generation Of Large Language Model (2025) • No Venue
  Liang et al.
• Telerag: Efficient Retrieval-augmented Generation Inference With Lookahead Retrieval (2025) • No Venue
  Lin et al.
• Longemotion: Measuring Emotional Intelligence Of Large Language Models In Long-context Interaction (2025) • No Venue
  Liu et al.
• A Survey Of Context Engineering For Large Language Models (2025) • No Venue
  Mei et al.
• Search Self-play: Pushing The Frontier Of Agent Capability Without Supervision (2025) • No Venue
  Lu et al.
• Knowledge Graph-guided Retrieval Augmented Generation (2025) • Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 12 citations
  Zhu et al.
• Agent Lightning: Train ANY AI Agents With Reinforcement Learning (2025) • No Venue
  Luo et al.
• Executable Knowledge Graphs For Replicating AI Research (2025) • No Venue
  Luo et al.
• Deliberation On Priors: Trustworthy Reasoning Of Large Language Models On Knowledge Graphs (2025) • No Venue
  Ma et al.
• Wikivideo: Article Generation From Multiple Videos (2025) • No Venue
  Martin et al.
• Hard Negative Mining For Domain-specific Retrieval In Enterprise Systems (2025) • No Venue
  Meghwani et al.
• Vlm2vec-v2: Advancing Multimodal Embedding For Videos, Images, And Visual Documents (2025) • No Venue
  Meng et al.
• Quco-rag: Quantifying Uncertainty From The Pre-training Corpus For Dynamic Retrieval-augmented Generation (2025) • No Venue
  Min et al.
• Deepmmsearch-r1: Empowering Multimodal Llms In Multimodal Web Search (2025) • No Venue
  Narayan et al.
• Ruccod: Towards Automated ICD Coding In Russian (2025) • No Venue
  Nesterov et al.
• Searching For Best Practices In Retrieval-augmented Generation (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 55 citations
  Wang et al.
• Omnieval: An Omnidirectional And Automatic RAG Evaluation Benchmark In Financial Domain (2024) • No Venue
  Wang et al.
• Leave No Document Behind: Benchmarking Long-context Llms With Extended Multi-doc QA (2024) • No Venue
  Wang et al.
• Feb4rag: Evaluating Federated Search In The Context Of Retrieval Augmented Generation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 12 citations
  Wang et al.
• Dreamrunner: Fine-grained Storytelling Video Generation With Retrieval-augmented Motion Adaptation (2024) • No Venue
  Wang et al.
• Chatqa 2: Bridging The Gap To Proprietary Llms In Long Context And RAG Capabilities (2024) • No Venue
  Xu et al.
• Bielik 7B V0.1: A Polish Language Model -- Development, Insights, And Evaluation (2024) • No Venue
  Ociepa et al.
• Omnidocbench: Benchmarking Diverse PDF Document Parsing With Comprehensive Annotations (2024) • No Venue
  Ouyang et al.
• Granite Guardian (2024) • No Venue
  Padhi et al.
• Graph Retrieval-augmented Generation: A Survey (2024) • ACM Transactions on Information Systems • 17 citations
  Peng et al.
• Telecom Language Models: Must They Be Large? (2024) • 2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) • 17 citations
  Nicola Piovesan, Antonio de Domenico, Fadhel Ayed
• Memorag: Moving Towards Next-gen RAG Via Memory-inspired Knowledge Discovery (2024) • No Venue
  Qian et al.
• Seakr: Self-aware Knowledge Retrieval For Adaptive Retrieval Augmented Generation (2024) • No Venue
  Yao et al.
• Improving Retrieval-augmented Generation In Medicine With Iterative Follow-up Questions (2024) • Biocomputing 2025 • 32 citations
  Xiong et al.
• Empirical Guidelines For Deploying Llms Onto Resource-constrained Edge Devices (2024) • ACM Transactions on Design Automation of Electronic Systems • 12 citations
  Qin et al.
• Robust Implementation Of Retrieval-augmented Generation On Edge-based Computing-in-memory Architectures (2024) • ICCAD '24: 43rd IEEE/ACM International Conference on Computer-Aided Design • 10 citations
  Qin et al.
• Cacheblend: Fast Large Language Model Serving For RAG With Cached Knowledge Fusion (2024) • EuroSys '25: Twentieth European Conference on Computer Systems • 17 citations
  Yao et al.
• Hdldebugger: Streamlining HDL Debugging With Large Language Models (2024) • ACM Transactions on Design Automation of Electronic Systems • 19 citations
  Yao et al.
• Benchmarking Retrieval-augmented Generation For Medicine (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 139 citations
  Xiong et al.
• Rag-fusion: A New Take On Retrieval-augmented Generation (2024) • International Journal on Natural Language Computing • 47 citations
  Zackary Rackauckas
• Evaluating Rag-fusion With Ragelo: An Automated Elo-based Framework (2024) • No Venue
  Zackary Rackauckas, Arthur Câmara, Jakub Zavrel
• EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling With Retrieval-augmented Generation (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 15 citations
  Zhu et al.
• A Fine-tuning Enhanced RAG System With Quantized Influence Measure As AI Judge (2024) • Scientific Reports • 24 citations
  Keshav Rangan, Yiqiao Yin
• Gemini 1.5: Unlocking Multimodal Understanding Across Millions Of Tokens Of Context (2024) • No Venue
  Reid et al.
• From Rags To Rich Parameters: Probing How Language Models Utilize External Knowledge Over Parametric Information For Factual Queries (2024) • No Venue
  Wadhwa et al.
• Towards Retrieval Augmented Generation Over Large Video Libraries (2024) • No Venue
  Yannis Tevissen, Khalil Guetari, Frédéric Petitpont
• Streamlining Systematic Reviews: A Novel Application Of Large Language Models (2024) • BMC Medical Research Methodology • 11 citations
  Trad et al.
• Application Of Notebooklm, A Large Language Model With Retrieval-augmented Generation, For Lung Cancer Staging (2024) • Japanese Journal of Radiology • 24 citations
  Tozuka et al.
• IM-RAG: Multi-round Retrieval-augmented Generation Through Learning Inner Monologues (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 26 citations
  Yang et al.
• Evidence-backed Fact Checking Using RAG And Few-shot In-context Learning With Llms (2024) • Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER) • 10 citations
  Singhal et al.
• Retrieval-augmented Generation With Knowledge Graphs For Customer Service Question Answering (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 87 citations
  Xu et al.
• Aligning Large Language Models For Enhancing Psychiatric Interviews Through Symptom Delineation And Summarization: Pilot Study (2024) • JMIR Formative Research • 10 citations
  So et al.
• Retrieval-augmented Generation For Generative Artificial Intelligence In Medicine (2024) • npj Health Systems • 44 citations
  Yang et al.
• Unsupervised Information Refinement Training Of Large Language Models For Retrieval-augmented Generation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Xu et al.
• Fine Tuning Vs. Retrieval Augmented Generation For Less Popular Knowledge (2024) • SIGIR-AP 2024: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region • 49 citations
  Heydar Soudani, Evangelos Kanoulas, Faegheh Hasibi
• Extracting Sentence Embeddings From Pretrained Transformer Models (2024) • Applied Sciences • 15 citations
  Lukas Stankevičius, Mantas Lukoševičius
• DRAGIN: Dynamic Retrieval Augmented Generation Based On The Information Needs Of Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 31 citations
  Su et al.
• Visdom: Multi-document QA With Visually Rich Elements Using Multimodal Retrieval-augmented Generation (2024) • No Venue
  Suri et al.
• Retrieval-augmented Generation For Natural Language Processing: A Survey (2024) • Arxiv • 14 citations
  Wu et al.
• Htmlrag: HTML Is Better Than Plain Text For Modeling Retrieved Knowledge In RAG Systems (2024) • No Venue
  Tan et al.
• L-citeeval: Do Long-context Models Truly Leverage Context For Responding? (2024) • No Venue
  Tang et al.
• Minicheck: Efficient Fact-checking Of Llms On Grounding Documents (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Liyan Tang, Philippe Laban, Greg Durrett
• Dynamic Contexts For Generating Suggestion Questions In RAG Based Conversational Systems (2024) • WWW '24: The ACM Web Conference 2024 • 13 citations
  Anuja Tayal, Aman Tyagi
• Writing In The Margins: Better Inference Pattern For Long Context Retrieval (2024) • No Venue
  Russak et al.
• Medtrinity-25m: A Large-scale Multimodal Dataset With Multigranular Annotations For Medicine (2024) • No Venue
  Xie et al.
• Towards A Search Engine For Machines: Unified Ranking For Multiple Retrieval-augmented Large Language Models (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 15 citations
  Alireza Salemi, Hamed Zamani
• Evaluating Retrieval Quality In Retrieval-augmented Generation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 94 citations
  Alireza Salemi, Hamed Zamani
• RAPTOR: Recursive Abstractive Processing For Tree-organized Retrieval (2024) • No Venue
  Sarthi et al.
• Blended RAG: Improving RAG (retriever-augmented Generation) Accuracy With Semantic Search And Hybrid Query-based Retrievers (2024) • 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR) • 65 citations
  Kunal Sawarkar, Abhilasha Mangal, Shivam Raj Solanki
• Generation Of Asset Administration Shell With Large Language Model Agents: Toward Semantic Interoperability In Digital Twins In The Context Of Industry 4.0 (2024) • IEEE Access • 55 citations
  Xia et al.
• Ask-eda: A Design Assistant Empowered By LLM, Hybrid RAG And Abbreviation De-hallucination (2024) • 2024 IEEE LLM Aided Design Workshop (LAD) • 16 citations
  Shi et al.
• Generate-then-ground In Retrieval-augmented Generation For Multi-hop Question Answering (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Shi et al.
• RULE: Reliable Multimodal RAG For Factuality In Medical Vision Language Models (2024) • No Venue
  Xia et al.
• Mmed-rag: Versatile Multimodal RAG System For Medical Vision Language Models (2024) • No Venue
  Xia et al.
• Mindful-rag: A Study Of Points Of Failure In Retrieval Augmented Generation (2024) • 2024 2nd International Conference on Foundation and Large Language Models (FLLM) • 12 citations
  Agrawal et al.
• Enhancing Textual Textbook Question Answering With Large Language Models And Retrieval Augmented Generation (2024) • Pattern Recognition • 21 citations
  Alawwad et al.
• Arigraph: Learning Knowledge Graph World Models With Episodic Memory For LLM Agents (2024) • No Venue
  Anokhin et al.
• Radiorag: Online Retrieval-augmented Generation For Radiology Question Answering (2024) • Radiology: Artificial Intelligence • 10 citations
  Arasteh et al.
• Domain-specific Retrieval-augmented Generation Using Vector Stores, Knowledge Graphs, And Tensor Factorization (2024) • 2024 International Conference on Machine Learning and Applications (ICMLA) • 11 citations
  Barron et al.
• Boosting Healthcare Llms Through Retrieved Context (2024) • No Venue
  Jordi Bayarri-Planas, Ashwin Kumar Gururajan, Dario Garcia-Gasulla
• Retrieval-augmented Generation For Ai-generated Content: A Survey (2024) • Data Science and Engineering • 11 citations
  Zhao et al.
• Meta-chunking: Learning Efficient Text Segmentation Via Logical Perception (2024) • No Venue
  Zhao et al.
• Text2sql Is Not Enough: Unifying AI And Databases With TAG (2024) • No Venue
  Biswal et al.
• Telco-rag: Navigating The Challenges Of Retrieval-augmented Language Models For Telecommunications (2024) • GLOBECOM 2024 - 2024 IEEE Global Communications Conference • 29 citations
  Bornea et al.
• Img2loc: Revisiting Image Geolocalization Using Multi-modality Foundation Models And Image-based Retrieval-augmented Generation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
  Zhou et al.
• Cross-data Knowledge Graph Construction For Llm-enabled Educational Question-answering System: A Case Study At HCMUT (2024) • ICMR '24: International Conference on Multimedia Retrieval • 25 citations
  Bui et al.
• Reducing Hallucination In Structured Outputs Via Retrieval-augmented Generation (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track) • 27 citations
  Patrice Béchard, Orlando Marquez Ayala
• Wiki-llava: Hierarchical Retrieval-augmented Generation For Multimodal Llms (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 28 citations
  Caffagni et al.
• Metacognitive Retrieval-augmented Large Language Models (2024) • WWW '24: The ACM Web Conference 2024 • 22 citations
  Zhou et al.
• Vision Search Assistant: Empower Vision-language Models As Multimodal Search Engines (2024) • No Venue
  Zhang et al.
• Don't Do RAG: When Cache-augmented Generation Is All You Need For Knowledge Tasks (2024) • WWW '25: The ACM Web Conference 2025 • 18 citations
  Chan et al.
• Agentpoison: Red-teaming LLM Agents Via Poisoning Memory Or Knowledge Bases (2024) • No Venue
  Chen et al.
• Internet Of Agents: Weaving A Web Of Heterogeneous Agents For Collaborative Intelligence (2024) • No Venue
  Chen et al.
• Octopus V4: Graph Of Language Models (2024) • No Venue
  Wei Chen, Zhiyuan Li
• Region-aware Text-to-image Generation Via Hard Binding And Soft Refinement (2024) • No Venue
  Chen et al.
• OCR Hinders RAG: Evaluating The Cascading Impact Of OCR On Retrieval-augmented Generation (2024) • No Venue
  Zhang et al.
• Retrievalqa: Assessing Adaptive Retrieval-augmented Generation For Short-form Open-domain Question Answering (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Zihan Zhang, Meng Fang, Ling Chen
• RAFT: Adapting Language Model To Domain Specific RAG (2024) • No Venue
  Zhang et al.
• Onegen: Efficient One-pass Unified Generation And Retrieval For Llms (2024) • No Venue
  Zhang et al.
• Human-imperceptible Retrieval Poisoning Attacks In Llm-powered Applications (2024) • FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering • 12 citations
  Zhang et al.
• LLM Hallucinations In Practical Code Generation: Phenomena, Mechanism, And Mitigation (2024) • Proceedings of the ACM on Software Engineering • 31 citations
  Zhang et al.
• Extract, Define, Canonicalize: An Llm-based Framework For Knowledge Graph Construction (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 42 citations
  Bowen Zhang, Harold Soh
• CORAL: Benchmarking Multi-turn Conversational Retrieval-augmentation Generation (2024) • No Venue
  Cheng et al.
• Are Large Language Models Good At Utility Judgments? (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 13 citations
  Zhang et al.
• Llm-inference-bench: Inference Benchmarking Of Large Language Models On AI Accelerators (2024) • SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis • 18 citations
  Chitty-Venkata et al.
• Retrieval-augmented Generation In Multilingual Settings (2024) • Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024) • 12 citations
  Chirkova et al.
• M3docrag: Multi-modal Retrieval Is What You Need For Multi-page Multi-document Understanding (2024) • No Venue
  Cho et al.
• Finch: Prompt-guided Key-value Cache Compression (2024) • No Venue
  Giulio Corallo, Paolo Papotti
• The Power Of Noise: Redefining Retrieval For RAG Systems (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 128 citations
  Cuconasu et al.
• Two-layer Retrieval-augmented Generation Framework For Low-resource Medical Question Answering Using Reddit Data: Proof-of-concept Study (2024) • Journal of Medical Internet Research • 14 citations
  Das et al.
• A Silver Bullet Or A Compromise For Full Attention? A Comprehensive Study Of Gist Token-based Context Compression (2024) • No Venue
  Deng et al.
• Advanced RAG Models With Graph Structures: Optimizing Complex Knowledge Reasoning And Text Generation (2024) • 2024 5th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) • 15 citations
  Dong et al.
• Toward General Instruction-following Alignment For Retrieval-augmented Generation (2024) • No Venue
  Dong et al.
• Understand What LLM Needs: Dual Preference Alignment For Retrieval-augmented Generation (2024) • WWW '25: The ACM Web Conference 2025 • 16 citations
  Dong et al.
• Lumberchunker: Long-form Narrative Document Segmentation (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 11 citations
  Duarte et al.
• A Survey On RAG Meeting Llms: Towards Retrieval-augmented Large Language Models (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 364 citations
  Fan et al.
• Enhancing Noise Robustness Of Retrieval-augmented Language Models With Adaptive Adversarial Training (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Fang et al.
• Evaluating Search Engines And Large Language Models For Answering Health Questions (2024) • npj Digital Medicine • 21 citations
  Marcos Fernández-Pichel, Juan C. Pichel, David E. Losada
• Generative AI In Cybersecurity: A Comprehensive Review Of LLM Applications And Vulnerabilities (2024) • Internet of Things and Cyber-Physical Systems • 36 citations
  Ferrag et al.
• RAG Foundry: A Framework For Enhancing Llms For Retrieval Augmented Generation (2024) • No Venue
  Fleischer et al.
• Autorag-hp: Automatic Online Hyper-parameter Tuning For Retrieval-augmented Generation (2024) • No Venue
  Fu et al.
• Similarity Is Not All You Need: Endowing Retrieval Augmented Generation With Multi Layered Thoughts (2024) • No Venue
  Gan et al.
• Autovcoder: A Systematic Framework For Automated Verilog Code Generation Using Llms (2024) • 2024 IEEE 42nd International Conference on Computer Design (ICCD) • 18 citations
  Gao et al.
• RAMIE: Retrieval-augmented Multi-task Information Extraction With Large Language Models On Dietary Supplements (2024) • Journal of the American Medical Informatics Association • 10 citations
  Zhan et al.
• Stochastic RAG: End-to-end Retrieval-augmented Generation Through Expected Utility Maximization (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 16 citations
  Hamed Zamani, Michael Bendersky
• Lightrag: Simple And Fast Retrieval-augmented Generation (2024) • Arxiv • 15 citations
  Guo et al.
• Openresearcher: Unleashing AI For Accelerated Scientific Research (2024) • No Venue
  Zheng et al.
• The Good And The Bad: Exploring Privacy Issues In Retrieval-augmented Generation (RAG) (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 48 citations
  Zeng et al.
• Federated Recommendation Via Hybrid Retrieval Augmented Generation (2024) • 2024 IEEE International Conference on Big Data (BigData) • 14 citations
  Zeng et al.
• Inference Scaling For Long-context Retrieval Augmented Generation (2024) • No Venue
  Yue et al.
• Evaluation Of Retrieval-augmented Generation: A Survey (2024) • Communications in Computer and Information Science • 56 citations
  Yu et al.
• Superhuman Performance In Urology Board Questions By An Explainable Large Language Model Enabled For Context Integration Of The European Association Of Urology Guidelines: The Urobot Study (2024) • ESMO Real World Data and Digital Oncology • 13 citations
  Hetz et al.
• Towards Explainable Network Intrusion Detection Using Large Language Models (2024) • 2024 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) • 19 citations
  Houssel et al.
• Prompt Perturbation In Retrieval-augmented Generation Based Large Language Models (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 14 citations
  Hu et al.
• Open-rag: Enhanced Retrieval-augmented Reasoning With Open-source Large Language Models (2024) • No Venue
  Islam et al.
• Leveraging Lecture Content For Improved Feedback: Explorations With GPT-4 And Retrieval Augmented Generation (2024) • 2024 36th International Conference on Software Engineering Education and Training (CSEE&T) • 10 citations
  Sven Jacobs, Steffen Jaschke
• Improving Medical Reasoning Through Retrieval And Self-reflection With Retrieval-augmented Large Language Models (2024) • Bioinformatics • 65 citations
  Jeong et al.
• Adaptive-rag: Learning To Adapt Retrieval-augmented Large Language Models Through Question Complexity (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 95 citations
  Jeong et al.
• Rag-rlrc-laysum At Biolaysumm: Integrating Retrieval-augmented Generation And Readability Control For Layman Summarization Of Biomedical Texts (2024) • Proceedings of the 23rd Workshop on Biomedical Natural Language Processing • 15 citations
  Ji et al.
• Longrag: Enhancing Retrieval-augmented Generation With Long-context Llms (2024) • No Venue
  Ziyan Jiang, Xueguang Ma, Wenhu Chen
• Visrag: Vision-based Retrieval-augmented Generation On Multi-modality Documents (2024) • No Venue
  Yu et al.
• Flashrag: A Modular Toolkit For Efficient Retrieval-augmented Generation Research (2024) • WWW '25: The ACM Web Conference 2025 • 11 citations
  Jin et al.
• Ragcache: Efficient Knowledge Caching For Retrieval-augmented Generation (2024) • ACM Transactions on Computer Systems • 14 citations
  Jin et al.
• Hypa-rag: A Hybrid Parameter Adaptive Retrieval-augmented Generation System For AI Legal And Policy Applications (2024) • Proceedings of the 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) • 10 citations
  Kalra et al.
• RAGAR, Your Falsehood Radar: Rag-augmented Reasoning For Political Fact-checking Using Multimodal Large Language Models (2024) • Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER) • 13 citations
  Khaliq et al.
• Fact, Fetch, And Reason: A Unified Evaluation Of Retrieval-augmented Generation (2024) • No Venue
  Krishna et al.
• Babilong: Testing The Limits Of Llms With Long Context Reasoning-in-a-haystack (2024) • No Venue
  Kuratov et al.
• In Search Of Needles In A 10M Haystack: Recurrent Memory Finds What Llms Miss (2024) • No Venue
  Kuratov et al.
• Summary Of A Haystack: A Challenge To Long-context Llms And RAG Systems (2024) • No Venue
  Laban et al.
• Investigating The Performance Of Retrieval-augmented Generation And Fine-tuning For The Development Of Ai-driven Knowledge-based Systems (2024) • Machine Learning and Knowledge Extraction • 17 citations
  Lakatos et al.
• Retrollm: Empowering Large Language Models To Retrieve Fine-grained Evidence Within Generation (2024) • No Venue
  Li et al.
• Retrieval Augmented Generation Or Long-context Llms? A Comprehensive Study And Hybrid Approach (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track • 17 citations
  Li et al.
• Structrag: Boosting Knowledge Intensive Reasoning Of Llms Via Inference-time Hybrid Information Structurization (2024) • No Venue
  Li et al.
• Boosting Conversational Question Answering With Fine-grained Retrieval-augmentation And Self-check (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 10 citations
  Ye et al.
• CBR-RAG: Case-based Reasoning For Retrieval Augmented Generation In Llms For Legal Question Answering (2024) • Lecture Notes in Computer Science • 61 citations
  Wiratunga et al.
• KAG: Boosting Llms In Professional Domains Via Knowledge Augmented Generation (2024) • WWW '25: The ACM Web Conference 2025 • 23 citations
  Liang et al.
• CRAG -- Comprehensive RAG Benchmark (2024) • No Venue
  Yang et al.
• Chatqa: Building GPT-4 Level Conversational QA Models (2024) • No Venue
  Liu et al.
• RA-ISF: Learning To Answer And Understand From Retrieval Augmentation Via Iterative Self-feedback (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 20 citations
  Liu et al.
• Corrective Retrieval Augmented Generation (2024) • Arxiv • 39 citations
  Yan et al.
• CRUD-RAG: A Comprehensive Chinese Benchmark For Retrieval-augmented Generation Of Large Language Models (2024) • ACM Transactions on Information Systems • 41 citations
  Lyu et al.
• Hallucination-free? Assessing The Reliability Of Leading AI Legal Research Tools (2024) • Journal of Empirical Legal Studies • 47 citations
  Magesh et al.
• Evaluating Very Long-term Conversational Memory Of LLM Agents (2024) • No Venue
  Maharana et al.
• SKETCH: Structured Knowledge Enhanced Text Comprehension For Holistic Retrieval (2024) • No Venue
  Mahalingam et al.
• Exploring The Impact Of Table-to-text Methods On Augmenting Llm-based Question Answering With Domain Hybrid Data (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track) • 11 citations
  Min et al.
• Generative Representational Instruction Tuning (2024) • No Venue
  Muennighoff et al.
• Grouse: A Benchmark To Evaluate Evaluators In Grounded Question Answering (2024) • No Venue
  Muller et al.
• Weaver: Foundation Models For Creative Writing (2024) • No Venue
  Wang et al.
• From Questions To Insightful Answers: Building An Informed Chatbot For University Resources (2024) • 2024 IEEE Frontiers in Education Conference (FIE) • 17 citations
  Neupane et al.
• Search-in-the-chain: Interactively Enhancing Large Language Models With Search For Knowledge-intensive Tasks (2023) • WWW '24: The ACM Web Conference 2024 • 19 citations
  Xu et al.
• Ragtruth: A Hallucination Corpus For Developing Trustworthy Retrieval-augmented Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 32 citations
  Niu et al.
• Fine-tuning Or Retrieval? Comparing Knowledge Injection In Llms (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 62 citations
  Ovadia et al.
• Context Tuning For Retrieval Augmented Generation (2023) • No Venue
  Anantha et al.
• Self-rag: Learning To Retrieve, Generate, And Critique Through Self-reflection (2023) • No Venue
  Asai et al.
• LLM4VV: Developing Llm-driven Testsuite For Compiler Validation (2023) • Future Generation Computer Systems • 36 citations
  Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran
• SILO Language Models: Isolating Legal Risk In A Nonparametric Datastore (2023) • No Venue
  Min et al.
• Making Llms Worth Every Penny: Resource-limited Text Classification In Banking (2023) • ICAIF '23: 4th ACM International Conference on AI in Finance • 27 citations
  Loukas et al.
• Retrieval Augmented Chest X-ray Report Generation Using Openai GPT Models (2023) • Arxiv • 16 citations
  Ranjit et al.
• FABULA: Intelligence Report Generation Using Retrieval-augmented Narrative Construction (2023) • ASONAM '23: International Conference on Advances in Social Networks Analysis and Mining • 10 citations
  Priyanka Ranade, Anupam Joshi
• Gentkg: Generative Forecasting On Temporal Knowledge Graph With Large Language Models (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 20 citations
  Liao et al.
• Exploring Parameter-efficient Fine-tuning Techniques For Code Generation With Large Language Models (2023) • ACM Transactions on Software Engineering and Methodology • 25 citations
  Weyssow et al.
• Glitter Or Gold? Deriving Structured Insights From Sustainability Reports Via Large Language Models (2023) • EPJ Data Science • 22 citations
  Bronzini et al.
• Mechgpt, A Language-based Strategy For Mechanics And Materials Modeling That Connects Knowledge Across Scales, Disciplines And Modalities (2023) • Applied Mechanics Reviews • 84 citations
  Markus J. Buehler
• Benchmarking Large Language Models In Retrieval-augmented Generation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 234 citations
  Chen et al.
• Lift Yourself Up: Retrieval-augmented Text Generation With Self Memory (2023) • Arxiv • 21 citations
  Cheng et al.
• Biomedical Knowledge Graph-optimized Prompt Generation For Large Language Models (2023) • Bioinformatics • 72 citations
  Soman et al.
• Retrieval Augmented Generation Using Engineering Design Knowledge (2023) • Knowledge-Based Systems • 34 citations
  L. Siddharth, Jianxi Luo
• HPC-GPT: Integrating Large Language Model For High-performance Computing (2023) • SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis • 28 citations
  Ding et al.
• Ragas: Automated Evaluation Of Retrieval Augmented Generation (2023) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations • 151 citations
  Es et al.
• Retrieval-augmented Generation For Large Language Models: A Survey (2023) • Arxiv • 13 citations
  Gao et al.
• A Reliable Knowledge Processing Framework For Combustion Science Using Foundation Models (2023) • Energy and AI • 14 citations
  Vansh Sharma, Venkat Raman
• Graph Neural Prompting With Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 38 citations
  Tian et al.
• A Study On The Implementation Of Generative AI Services Using An Enterprise Data-based LLM Application Architecture (2023) • Advances in Artificial Intelligence and Machine Learning • 65 citations
  Cheonsu Jeong
• ARES: An Automated Evaluation Framework For Retrieval-augmented Generation Systems (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 56 citations
  Saad-Falcon et al.
• Murag: Multimodal Retrieval-augmented Generator For Open Question Answering Over Images And Text (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 81 citations
  Chen et al.
• Out-of-domain Semantics To The Rescue! Zero-shot Hybrid Retrieval Models (2022) • Lecture Notes in Computer Science • 29 citations
  Chen et al.
• A Survey On Retrieval-augmented Text Generation (2022) • Arxiv • 70 citations
  Li et al.
• Re2g: Retrieve, Rerank, Generate (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 48 citations
  Glass et al.
• Fid-light: Efficient And Effective Retrieval-augmented Text Generation (2022) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 36 citations
  Hofstätter et al.
• Dyrren: A Dynamic Retriever-reranker-generator Model For Numerical Reasoning Over Tabular And Textual Data (2022) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Li et al.
• Improving The Domain Adaptation Of Retrieval Augmented Generation (RAG) Models For Open Domain Question Answering (2022) • Transactions of the Association for Computational Linguistics • 210 citations
  Siriwardhana et al.
• End-to-end Training Of Neural Retrievers For Open-domain Question Answering (2021) • Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) • 21 citations
  Sachan et al.
• End-to-end Learning Of Flowchart Grounded Task-oriented Dialogs (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Raghu et al.
• Predicting Efficiency/effectiveness Trade-offs For Dense Vs. Sparse Retrieval Strategy Selection (2021) • CIKM '21: The 30th ACM International Conference on Information and Knowledge Management • 26 citations
  Negar Arabzadeh, Xinyi Yan, Charles L. A. Clarke
• Evidentiality-guided Generation For Knowledge-intensive NLP Tasks (2021) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 14 citations
  Akari Asai, Matt Gardner, Hannaneh Hajishirzi
• Efficient Large-scale Language Model Training On GPU Clusters Using Megatron-lm (2021) • SC '21: The International Conference for High Performance Computing, Networking, Storage and Analysis • 374 citations
  Narayanan et al.
• Contextualized Query Embeddings For Conversational Search (2021) • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin
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  Wang et al.
• Scaling Distributed Deep Learning Workloads Beyond The Memory Capacity With KARMA (2020) • SC20: International Conference for High Performance Computing, Networking, Storage and Analysis • 11 citations
  Wahib et al.
• Large-batch Training For LSTM And Beyond (2019) • SC '19: The International Conference for High Performance Computing, Networking, Storage, and Analysis • 46 citations
  You et al.
• A Hybrid Retrieval-generation Neural Conversation Model (2019) • CIKM '19: The 28th ACM International Conference on Information and Knowledge Management • 45 citations
  Yang et al.
• Nmt-keras: A Very Flexible Toolkit With A Focus On Interactive NMT And Online Learning (2018) • The Prague Bulletin of Mathematical Linguistics • 12 citations
  Álvaro Peris, Francisco Casacuberta
• Training Tips For The Transformer Model (2018) • The Prague Bulletin of Mathematical Linguistics • 111 citations
  Martin Popel, Ondřej Bojar
• Fine-grained Human Evaluation Of Neural Versus Phrase-based Machine Translation (2017) • The Prague Bulletin of Mathematical Linguistics • 36 citations
  Filip Klubička, Antonio Toral, Víctor M. Sánchez-Cartagena
• NMTPY: A Flexible Toolkit For Advanced Neural Machine Translation Systems (2017) • The Prague Bulletin of Mathematical Linguistics • 23 citations
  Caglayan et al.

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Reinforcement Learning 1291 papers #

• AT^2PO: Agentic Turn-based Policy Optimization Via Tree Search (2026) • No Venue
  Zong et al.
• Roi-reasoning: Rational Optimization For Inference Via Pre-computation Meta-cognition (2026) • No Venue
  Muyang Zhao, Qi Qi, Hao Sun
• Samtok: Representing Any Mask With Two Words (2026) • No Venue
  Zhou et al.
• Behavior Knowledge Merge In Reinforced Agentic Models (2026) • No Venue
  Yuan et al.
• Learning To Discover At Test Time (2026) • No Venue
  Yuksekgonul et al.
• Chaining The Evidence: Robust Reinforcement Learning For Deep Search Agents With Citation-aware Rubric Rewards (2026) • No Venue
  Zhang et al.
• Arenarl: Scaling RL For Open-ended Agents Via Tournament-based Relative Ranking (2026) • No Venue
  Zhang et al.
• Nextflow: Unified Sequential Modeling Activates Multimodal Understanding And Generation (2026) • No Venue
  Zhang et al.
• Think3d: Thinking With Space For Spatial Reasoning (2026) • No Venue
  Zhang et al.
• Are Llms Vulnerable To Preference-undermining Attacks (PUA)? A Factorial Analysis Methodology For Diagnosing The Trade-off Between Preference Alignment And Real-world Validity (2026) • No Venue
  An et al.
• Webgym: Scaling Training Environments For Visual Web Agents With Realistic Tasks (2026) • No Venue
  Bai et al.
• Cogflow: Bridging Perception And Reasoning Through Knowledge Internalization For Visual Mathematical Problem Solving (2026) • No Venue
  Chen et al.
• Llm-in-sandbox Elicits General Agentic Intelligence (2026) • No Venue
  Cheng et al.
• Harder Is Better: Boosting Mathematical Reasoning Via Difficulty-aware GRPO And Multi-aspect Question Reformulation (2026) • No Venue
  Dai et al.
• Entropy-adaptive Fine-tuning: Resolving Confident Conflicts To Mitigate Forgetting (2026) • No Venue
  Diao et al.
• Agentocr: Reimagining Agent History Via Optical Self-compression (2026) • No Venue
  Feng et al.
• Translategemma Technical Report (2026) • No Venue
  Finkelstein et al.
• Endless Terminals: Scaling RL Environments For Terminal Agents (2026) • No Venue
  Gandhi et al.
• Dreamid-v:bridging The Image-to-video Gap For High-fidelity Face Swapping Via Diffusion Transformer (2026) • No Venue
  Guo et al.
• Dancing In Chains: Strategic Persuasion In Academic Rebuttal Via Theory Of Mind (2026) • No Venue
  Zhitao He, Zongwei Lyu, Yi R Fung
• Collaborative Multi-agent Test-time Reinforcement Learning For Reasoning (2026) • No Venue
  Hu et al.
• Pacore: Learning To Scale Test-time Compute With Parallel Coordinated Reasoning (2026) • No Venue
  Hu et al.
• Rewarding The Rare: Uniqueness-aware RL For Creative Problem Solving In Llms (2026) • No Venue
  Hu et al.
• STEP3-VL-10B Technical Report (2026) • No Venue
  Huang et al.
• Reinforcement Learning Via Self-distillation (2026) • No Venue
  Hübotter et al.
• Scalable Power Sampling: Unlocking Efficient, Training-free Reasoning For Llms Via Distribution Sharpening (2026) • No Venue
  Ji et al.
• Thinking With Map: Reinforced Parallel Map-augmented Agent For Geolocalization (2026) • No Venue
  Ji et al.
• Latent Adversarial Regularization For Offline Preference Optimization (2026) • No Venue
  Jiang et al.
• Reasoning Models Generate Societies Of Thought (2026) • No Venue
  Kim et al.
• THINKSAFE: Self-generated Safety Alignment For Reasoning Models (2026) • No Venue
  Lee et al.
• Advances And Frontiers Of Llm-based Issue Resolution In Software Engineering: A Comprehensive Survey (2026) • No Venue
  Li et al.
• Rubrichub: A Comprehensive And Highly Discriminative Rubric Dataset Via Automated Coarse-to-fine Generation (2026) • No Venue
  Li et al.
• GDPO: Group Reward-decoupled Normalization Policy Optimization For Multi-reward RL Optimization (2026) • No Venue
  Liu et al.
• BAPO: Boundary-aware Policy Optimization For Reliable Agentic Search (2026) • No Venue
  Liu et al.
• Skinflow: Efficient Information Transmission For Open Dermatological Diagnosis Via Dynamic Visual Encoding And Staged RL (2026) • No Venue
  Liu et al.
• The Reasoning-creativity Trade-off: Toward Creativity-driven Problem Solving (2026) • No Venue
  Max Ruiz Luyten, Mihaela van Der Schaar
• Toolsafe: Enhancing Tool Invocation Safety Of Llm-based Agents Via Proactive Step-level Guardrail And Feedback (2026) • No Venue
  Mou et al.
• The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential In Diffusion Language Models (2026) • No Venue
  Ni et al.
• SOP: A Scalable Online Post-training System For Vision-language-action Models (2026) • No Venue
  Pan et al.
• Matchtir: Fine-grained Supervision For Tool-integrated Reasoning Via Bipartite Matching (2026) • No Venue
  Qu et al.
• Aligning Text, Code, And Vision: A Multi-objective Reinforcement Learning Framework For Text-to-visualization (2026) • No Venue
  Rahman et al.
• LSRIF: Logic-structured Reinforcement Learning For Instruction Following (2026) • No Venue
  Ren et al.
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  Shen et al.
• Adareasoner: Dynamic Tool Orchestration For Iterative Visual Reasoning (2026) • No Venue
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  Song et al.
• Envscaler: Scaling Tool-interactive Environments For LLM Agent Via Programmatic Synthesis (2026) • No Venue
  Song et al.
• VAR RL Done Right: Tackling Asynchronous Policy Conflicts In Visual Autoregressive Generation (2026) • No Venue
  Sun et al.
• Teaching Models To Teach Themselves: Reasoning At The Edge Of Learnability (2026) • No Venue
  Sundaram et al.
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• Self-improving Pretraining: Using Post-trained Models To Pretrain Better Models (2026) • No Venue
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• Talk2move: Reinforcement Learning For Text-instructed Object-level Geometric Transformation In Scenes (2026) • No Venue
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  Tang et al.
• Longcat-flash-thinking-2601 Technical Report (2026) • No Venue
  Team et al.
• ASTRA: Automated Synthesis Of Agentic Trajectories And Reinforcement Arenas (2026) • No Venue
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• Gametalk: Training Llms For Strategic Conversation (2026) • No Venue
  Victor Conchello Vendrell, Max Ruiz Luyten, Mihaela van Der Schaar
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• Urban Socio-semantic Segmentation With Vision-language Reasoning (2026) • No Venue
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• Innovator-vl: A Multimodal Large Language Model For Scientific Discovery (2026) • No Venue
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• Atlas: Orchestrating Heterogeneous Models And Tools For Multi-domain Complex Reasoning (2026) • No Venue
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• Spark: Strategic Policy-aware Exploration Via Dynamic Branching For Long-horizon Agentic Learning (2026) • No Venue
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• Jet-rl: Enabling On-policy FP8 Reinforcement Learning With Unified Training And Rollout Precision Flow (2026) • No Venue
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• The Confidence Dichotomy: Analyzing And Mitigating Miscalibration In Tool-use Agents (2026) • No Venue
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• Your Group-relative Advantage Is Biased (2026) • No Venue
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• Toward Efficient Agents: Memory, Tool Learning, And Planning (2026) • No Venue
  Yang et al.
• Llama-3.1-foundationai-securityllm-reasoning-8b Technical Report (2026) • No Venue
  Yang et al.
• Reasoning Like An Economist: Post-training On Economic Problems Induces Strategic Generalization In Llms (2025) • No Venue
  Zhou et al.
• R1-zero's "aha Moment" In Visual Reasoning On A 2B Non-sft Model (2025) • No Venue
  Zhou et al.
• Breaking The Exploration Bottleneck: Rubric-scaffolded Reinforcement Learning For General LLM Reasoning (2025) • No Venue
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• Agentfly: Fine-tuning LLM Agents Without Fine-tuning Llms (2025) • No Venue
  Zhou et al.
• Reinforcing General Reasoning Without Verifiers (2025) • No Venue
  Zhou et al.
• Chemdfm-r: An Chemical Reasoner LLM Enhanced With Atomized Chemical Knowledge (2025) • No Venue
  Zhao et al.
• Absolute Zero: Reinforced Self-play Reasoning With Zero Data (2025) • No Venue
  Zhao et al.
• Achieving Olympia-level Geometry Large Language Model Agent Via Complexity Boosting Reinforcement Learning (2025) • No Venue
  Zhao et al.
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  Zheng et al.
• Geometric-mean Policy Optimization (2025) • No Venue
  Zhao et al.
• Inpainting-guided Policy Optimization For Diffusion Large Language Models (2025) • No Venue
  Zhao et al.
• MM-HELIX: Boosting Multimodal Long-chain Reflective Reasoning With Holistic Platform And Adaptive Hybrid Policy Optimization (2025) • No Venue
  Zhao et al.
• Learning To Reason Without External Rewards (2025) • No Venue
  Zhao et al.
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• One Token To Fool Llm-as-a-judge (2025) • No Venue
  Zhao et al.
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  Jiaxing Zhao, Xihan Wei, Liefeng Bo
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  Zheng et al.
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• Demystifying Long Chain-of-thought Reasoning In Llms (2025) • No Venue
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• A Practical Two-stage Recipe For Mathematical Llms: Maximizing Accuracy With SFT And Efficiency With Reinforcement Learning (2025) • No Venue
  Hiroshi Yoshihara, Taiki Yamaguchi, Yuichi Inoue
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• From F(x) And G(x) To F(g(x)): Llms Learn New Skills In RL By Composing Old Ones (2025) • No Venue
  Yuan et al.
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• Does Reinforcement Learning Really Incentivize Reasoning Capacity In Llms Beyond The Base Model? (2025) • No Venue
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• Don't Overthink It: A Survey Of Efficient R1-style Large Reasoning Models (2025) • No Venue
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• Reasoning Vectors: Transferring Chain-of-thought Capabilities Via Task Arithmetic (2025) • No Venue
  Mohammad Zbeeb, Hasan Abed Al Kader Hammoud, Bernard Ghanem
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• Done Is Better Than Perfect: Unlocking Efficient Reasoning By Structured Multi-turn Decomposition (2025) • No Venue
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  Zeng et al.
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• BTL-UI: Blink-think-link Reasoning Model For GUI Agent (2025) • No Venue
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• 100 Days After Deepseek-r1: A Survey On Replication Studies And More Directions For Reasoning Language Models (2025) • No Venue
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• Reasongen-r1: Cot For Autoregressive Image Generation Models Through SFT And RL (2025) • No Venue
  Zhang et al.
• Deeptheorem: Advancing LLM Reasoning For Theorem Proving Through Natural Language And Reinforcement Learning (2025) • No Venue
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• REARANK: Reasoning Re-ranking Agent Via Reinforcement Learning (2025) • No Venue
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• Memory As Action: Autonomous Context Curation For Long-horizon Agentic Tasks (2025) • No Venue
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• Openmmreasoner: Pushing The Frontiers For Multimodal Reasoning With An Open And General Recipe (2025) • No Venue
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• Tattoo: Tool-grounded Thinking PRM For Test-time Scaling In Tabular Reasoning (2025) • No Venue
  Zou et al.
• Reasonflux-prm: Trajectory-aware Prms For Long Chain-of-thought Reasoning In Llms (2025) • No Venue
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• Minimax-01: Scaling Foundation Models With Lightning Attention (2025) • No Venue
  Minimax et al.
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  Openai et al.
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  Nikolay Blagoev, Oğuzhan Ersoy, Lydia Yiyu Chen
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• Scaling Open-ended Reasoning To Predict The Future (2025) • No Venue
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  Chen et al.
• A^2FM: An Adaptive Agent Foundation Model For Tool-aware Hybrid Reasoning (2025) • No Venue
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• ERA: Transforming Vlms Into Embodied Agents Via Embodied Prior Learning And Online Reinforcement Learning (2025) • No Venue
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• Enigmata: Scaling Logical Reasoning In Large Language Models With Synthetic Verifiable Puzzles (2025) • No Venue
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• Exploration V.s. Exploitation: Rethinking RLVR Through Clipping, Entropy, And Spurious Reward (2025) • No Venue
  Chen et al.
• Geopqa: Bridging The Visual Perception Gap In Mllms For Geometric Reasoning (2025) • No Venue
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• Iterresearch: Rethinking Long-horizon Agents Via Markovian State Reconstruction (2025) • No Venue
  Chen et al.
• GRPO-CARE: Consistency-aware Reinforcement Learning For Multimodal Reasoning (2025) • No Venue
  Chen et al.
• Judgelrm: Large Reasoning Models As A Judge (2025) • No Venue
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• Mico: Multi-image Contrast For Reinforcement Visual Reasoning (2025) • No Venue
  Chen et al.
• P1: Mastering Physics Olympiads With Reinforcement Learning (2025) • No Venue
  Chen et al.
• Pass@k Training For Adaptively Balancing Exploration And Exploitation Of Large Reasoning Models (2025) • No Venue
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• Seed-prover: Deep And Broad Reasoning For Automated Theorem Proving (2025) • No Venue
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• Research: Learning To Reason With Search For Llms Via Reinforcement Learning (2025) • No Venue
  Chen et al.
• Spacetools: Tool-augmented Spatial Reasoning Via Double Interactive RL (2025) • No Venue
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• SPC: Evolving Self-play Critic Via Adversarial Games For LLM Reasoning (2025) • No Venue
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• Revisiting Reinforcement Learning For LLM Reasoning From A Cross-domain Perspective (2025) • No Venue
  Cheng et al.
• Reasoning With Exploration: An Entropy Perspective (2025) • No Venue
  Cheng et al.
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  Chng et al.
• Learning From Failures In Multi-attempt Reinforcement Learning (2025) • No Venue
  Stephen Chung, Wenyu Du, Jie Fu
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  Chu et al.
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  Chuang et al.
• Vargpt-v1.1: Improve Visual Autoregressive Large Unified Model Via Iterative Instruction Tuning And Reinforcement Learning (2025) • No Venue
  Zhuang et al.
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  Stephen Chung, Wenyu Du, Jie Fu
• The Danger Of Overthinking: Examining The Reasoning-action Dilemma In Agentic Tasks (2025) • No Venue
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  Cui et al.
• The Entropy Mechanism Of Reinforcement Learning For Reasoning Language Models (2025) • No Venue
  Cui et al.
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  Dai et al.
• Rezero: Enhancing LLM Search Ability By Trying One-more-time (2025) • No Venue
  Alan Dao, Thinh Le
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  Quy-Anh Dang, Chris Ngo
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  Alan Dao, Dinh Bach Vu
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  Deng et al.
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  Deng et al.
• Openvlthinker: An Early Exploration To Complex Vision-language Reasoning Via Iterative Self-improvement (2025) • No Venue
  Deng et al.
• Arm-thinker: Reinforcing Multimodal Generative Reward Models With Agentic Tool Use And Visual Reasoning (2025) • No Venue
  Ding et al.
• FAPO: Flawed-aware Policy Optimization For Efficient And Reliable Reasoning (2025) • No Venue
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  Dong et al.
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  Du et al.
• Ulorl:an Ultra-long Output Reinforcement Learning Approach For Advancing Large Language Models' Reasoning Abilities (2025) • No Venue
  Du et al.
• Which Heads Matter For Reasoning? Rl-guided KV Cache Compression (2025) • No Venue
  Du et al.
• Got-r1: Unleashing Reasoning Capability Of MLLM For Visual Generation With Reinforcement Learning (2025) • No Venue
  Duan et al.
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  Fan et al.
• GRIT: Teaching Mllms To Think With Images (2025) • No Venue
  Fan et al.
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  Fan et al.
• Sophiavl-r1: Reinforcing Mllms Reasoning With Thinking Reward (2025) • No Venue
  Fan et al.
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  Fan et al.
• Mano Report (2025) • No Venue
  Fu et al.
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  Gongfan Fang, Xinyin Ma, Xinchao Wang
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  Feizi et al.
• Efficient Reasoning Models: A Survey (2025) • No Venue
  Feng et al.
• Don't Waste Mistakes: Leveraging Negative Rl-groups Via Confidence Reweighting (2025) • No Venue
  Feng et al.
• PILAF: Optimal Human Preference Sampling For Reward Modeling (2025) • No Venue
  Feng et al.
• Onethinker: All-in-one Reasoning Model For Image And Video (2025) • No Venue
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• The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning And Large Language Models (2024) • Journal of Artificial Intelligence Research • 14 citations
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• Improving The Validity Of Automatically Generated Feedback Via Reinforcement Learning (2024) • Lecture Notes in Computer Science • 15 citations
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• The Language Barrier: Dissecting Safety Challenges Of Llms In Multilingual Contexts (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
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• Optimization-based Prompt Injection Attack To Llm-as-a-judge (2024) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 27 citations
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• Large Language Models Are Learnable Planners For Long-term Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 16 citations
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• Fast On-device LLM Inference With Npus (2024) • ASPLOS '25: 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems • 11 citations
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• Back To Basics: Revisiting REINFORCE Style Optimization For Learning From Human Feedback In Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
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• Large Language Model (LLM) For Telecommunications: A Comprehensive Survey On Principles, Key Techniques, And Opportunities (2024) • IEEE Communications Surveys & Tutorials • 118 citations
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• Preflexor: Preference-based Recursive Language Modeling For Exploratory Optimization Of Reasoning And Agentic Thinking (2024) • npj Artificial Intelligence • 14 citations
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• Survey On Large Language Model-enhanced Reinforcement Learning: Concept, Taxonomy, And Methods (2024) • IEEE Transactions on Neural Networks and Learning Systems • 67 citations
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• Rlingua: Improving Reinforcement Learning Sample Efficiency In Robotic Manipulations With Large Language Models (2024) • IEEE Robotics and Automation Letters • 18 citations
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• Chatscene: Knowledge-enabled Safety-critical Scenario Generation For Autonomous Vehicles (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 36 citations
  Jiawei Zhang, Chejian Xu, Bo Li
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• Two-layer Retrieval-augmented Generation Framework For Low-resource Medical Question Answering Using Reddit Data: Proof-of-concept Study (2024) • Journal of Medical Internet Research • 14 citations
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• Generative AI In Cybersecurity: A Comprehensive Review Of LLM Applications And Vulnerabilities (2024) • Internet of Things and Cyber-Physical Systems • 36 citations
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• COA-GPT: Generative Pre-trained Transformers For Accelerated Course Of Action Development In Military Operations (2024) • 2024 International Conference on Military Communication and Information Systems (ICMCIS) • 17 citations
  Vinicius G. Goecks, Nicholas Waytowich
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• Videoscore: Building Automatic Metrics To Simulate Fine-grained Human Feedback For Video Generation (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 11 citations
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• ORPO: Monolithic Preference Optimization Without Reference Model (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 54 citations
  Jiwoo Hong, Noah Lee, James Thorne
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• Decision Mamba: Reinforcement Learning Via Hybrid Selective Sequence Modeling (2024) • Advances in Neural Information Processing Systems 37 • 21 citations
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• ORLM: A Customizable Framework In Training Large Models For Automated Optimization Modeling (2024) • Operations Research • 10 citations
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• Modulated Intervention Preference Optimization (MIPO): Keep The Easy, Refine The Difficult (2024) • No Venue
  Cheolhun Jang
• Rag-rlrc-laysum At Biolaysumm: Integrating Retrieval-augmented Generation And Readability Control For Layman Summarization Of Biomedical Texts (2024) • Proceedings of the 23rd Workshop on Biomedical Natural Language Processing • 15 citations
  Ji et al.
• Enhancing End-to-end Multi-task Dialogue Systems: A Study On Intrinsic Motivation Reinforcement Learning Algorithms For Improved Training And Adaptability (2024) • 2024 IEEE 18th International Conference on Semantic Computing (ICSC) • 11 citations
  Kamuni et al.
• Yaart: Yet Another ART Rendering Technology (2024) • No Venue
  Kastryulin et al.
• Vineppo: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment (2024) • No Venue
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• Cognitive Map For Language Models: Optimal Planning Via Verbally Representing The World Model (2024) • No Venue
  Kim et al.
• Free^2guide: Gradient-free Path Integral Control For Enhancing Text-to-video Generation With Large Vision-language Models (2024) • No Venue
  Jaemin Kim, Bryan S Kim, Jong Chul Ye
• Learning To Generate Explainable Stock Predictions Using Self-reflective Large Language Models (2024) • WWW '24: The ACM Web Conference 2024 • 25 citations
  Koa et al.
• Understanding And Diagnosing Deep Reinforcement Learning (2024) • No Venue
  Ezgi Korkmaz
• Autowebglm: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent (2024) • No Venue
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• Can Large Language Models Explore In-context? (2024) • No Venue
  Krishnamurthy et al.
• Training Language Models To Self-correct Via Reinforcement Learning (2024) • No Venue
  Kumar et al.
• Direct Preference Optimization Using Sparse Feature-level Constraints (2024) • No Venue
  Yin et al.
• TÜLU 3: Pushing Frontiers In Open Language Model Post-training (2024) • No Venue
  Lambert et al.
• Rewardbench: Evaluating Reward Models For Language Modeling (2024) • No Venue
  Lambert et al.
• Do Llms Have Political Correctness? Analyzing Ethical Biases And Jailbreak Vulnerabilities In AI Systems (2024) • No Venue
  Isack Lee, Haebin Seong
• Parrot: Pareto-optimal Multi-reward Reinforcement Learning Framework For Text-to-image Generation (2024) • No Venue
  Lee et al.
• Llms For Relational Reasoning: How Far Are We? (2024) • LLM4Code '24: 1st International Workshop on Large Language Models for Code • 18 citations
  Li et al.
• Mix-ln: Unleashing The Power Of Deeper Layers By Combining Pre-ln And Post-ln (2024) • No Venue
  Pengxiang Li, Lu Yin, Shiwei Liu
• CAT: Enhancing Multimodal Large Language Model To Answer Questions In Dynamic Audio-visual Scenarios (2024) • Lecture Notes in Computer Science • 10 citations
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• Controllable Text Generation For Large Language Models: A Survey (2024) • No Venue
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• Preference Tuning With Human Feedback On Language, Speech, And Vision Tasks: A Survey (2024) • No Venue
  Winata et al.
• Strategist: Learning Strategic Skills By Llms Via Bi-level Tree Search (2024) • No Venue
  Light et al.
• FLAME: Factuality-aware Alignment For Large Language Models (2024) • No Venue
  Lin et al.
• Critical Tokens Matter: Token-level Contrastive Estimation Enhence Llm's Reasoning Capability (2024) • No Venue
  Lin et al.
• Language Models Learn To Mislead Humans Via RLHF (2024) • No Venue
  Wen et al.
• Acemath: Advancing Frontier Math Reasoning With Post-training And Reward Modeling (2024) • No Venue
  Liu et al.
• Iterative Length-regularized Direct Preference Optimization: A Case Study On Improving 7B Language Models To GPT-4 Level (2024) • No Venue
  Liu et al.
• Rethinking Machine Unlearning For Large Language Models (2024) • Nature Machine Intelligence • 41 citations
  Liu et al.
• Lipo: Listwise Preference Optimization Through Learning-to-rank (2024) • No Venue
  Liu et al.
• Proofread: Fixes All Errors With One Tap (2024) • No Venue
  Liu et al.
• Sample-efficient Alignment For Llms (2024) • No Venue
  Liu et al.
• Rm-bench: Benchmarking Reward Models Of Language Models With Subtlety And Style (2024) • No Venue
  Liu et al.
• Sequential Recommendation For Optimizing Both Immediate Feedback And Long-term Retention (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 14 citations
  Liu et al.
• Skywork-reward: Bag Of Tricks For Reward Modeling In Llms (2024) • No Venue
  Liu et al.
• Fine-tuning Large Language Models For Domain Adaptation: Exploration Of Training Strategies, Scaling, Model Merging And Synergistic Capabilities (2024) • npj Computational Materials • 43 citations
  Wei Lu, Rachel K. Luu, Markus J. Buehler
• Reft: Reasoning With Reinforced Fine-tuning (2024) • No Venue
  Luong et al.
• Dynamic Prompt Optimizing For Text-to-image Generation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Mo et al.
• MALT: Improving Reasoning With Multi-agent LLM Training (2024) • No Venue
  Motwani et al.
• Transforming And Combining Rewards For Aligning Large Language Models (2024) • No Venue
  Wang et al.
• Reinforcement Learning-based Recommender Systems With Large Language Models For State Reward And Action Modeling (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 16 citations
  Wang et al.
• Generating Valid And Natural Adversarial Examples With Large Language Models (2023) • 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) • 14 citations
  Wang et al.
• FP8-LM: Training FP8 Large Language Models (2023) • No Venue
  Peng et al.
• Stylerdalle: Language-guided Style Transfer Using A Vector-quantized Tokenizer Of A Large-scale Generative Model (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 11 citations
  Zipeng Xu, Enver Sangineto, Nicu Sebe
• Instructions As Backdoors: Backdoor Vulnerabilities Of Instruction Tuning For Large Language Models (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 27 citations
  Xu et al.
• Math-shepherd: Verify And Reinforce Llms Step-by-step Without Human Annotations (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 20 citations
  Wang et al.
• Towards A Unified Agent With Foundation Models (2023) • No Venue
  Palo et al.
• Do Llms Exhibit Human-like Response Biases? A Case Study In Survey Design (2023) • Transactions of the Association for Computational Linguistics • 34 citations
  Tjuatja et al.
• A Review Of Deep Learning For Video Captioning (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 23 citations
  Abdar et al.
• Human-timescale Adaptation In An Open-ended Task Space (2023) • Arxiv • 22 citations
  Team et al.
• On-policy Distillation Of Language Models: Learning From Self-generated Mistakes (2023) • No Venue
  Agarwal et al.
• Can We Trust The Evaluation On Chatgpt? (2023) • Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023) • 63 citations
  Aiyappa et al.
• RL4F: Generating Natural Language Feedback With Reinforcement Learning For Repairing Model Outputs (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 21 citations
  Akyürek et al.
• Rest Meets React: Self-improvement For Multi-step Reasoning LLM Agent (2023) • No Venue
  Aksitov et al.
• Leancontext: Cost-efficient Domain-specific Question Answering Using Llms (2023) • Natural Language Processing Journal • 46 citations
  Md Adnan Arefeen, Biplob Debnath, Srimat Chakradhar
• Explaining Autonomous Driving Actions With Visual Question Answering (2023) • 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) • 22 citations
  Atakishiyev et al.
• Towards Benchmarking And Improving The Temporal Reasoning Capability Of Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Qingyu Tan, Hwee Tou Ng, Lidong Bing
• User Retention-oriented Recommendation With Decision Transformer (2023) • WWW '23: The ACM Web Conference 2023 • 23 citations
  Zhao et al.
• Slic-hf: Sequence Likelihood Calibration With Human Feedback (2023) • Arxiv • 11 citations
  Zhao et al.
• Chatgpt: Applications, Opportunities, And Threats (2023) • 2023 Systems and Information Engineering Design Symposium (SIEDS) • 165 citations
  Bahrini et al.
• Qwen Technical Report (2023) • No Venue
  Bai et al.
• Nash Learning From Human Feedback (2023) • No Venue
  Munos et al.
• Enable Language Models To Implicitly Learn Self-improvement From Data (2023) • No Venue
  Wang et al.
• Stabilizing RLHF Through Advantage Model And Selective Rehearsal (2023) • No Venue
  Peng et al.
• Embodied Multi-modal Agent Trained By An LLM From A Parallel Textworld (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Yang et al.
• Specinfer: Accelerating Generative Large Language Model Serving With Tree-based Speculative Inference And Verification (2023) • ASPLOS '24: 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 • 56 citations
  Miao et al.
• Robogen: Towards Unleashing Infinite Data For Automated Robot Learning Via Generative Simulation (2023) • No Venue
  Wang et al.
• Octopus: Embodied Vision-language Programmer From Environmental Feedback (2023) • No Venue
  Yang et al.
• PRCA: Fitting Black-box Large Language Models For Retrieval Question Answering Via Pluggable Reward-driven Contextual Adapter (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Yang et al.
• Controlled Decoding From Language Models (2023) • No Venue
  Mudgal et al.
• RLCD: Reinforcement Learning From Contrast Distillation For Language Model Alignment (2023) • No Venue
  Yang et al.
• Aligning Text-to-image Diffusion Models With Reward Backpropagation (2023) • No Venue
  Prabhudesai et al.
• YAYI 2: Multilingual Open-source Large Language Models (2023) • No Venue
  Luo et al.
• Zhongjing: Enhancing The Chinese Medical Capabilities Of Large Language Model Through Expert Feedback And Real-world Multi-turn Dialogue (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 78 citations
  Yang et al.
• Using Human Feedback To Fine-tune Diffusion Models Without Any Reward Model (2023) • No Venue
  Yang et al.
• Sneakyprompt: Jailbreaking Text-to-image Generative Models (2023) • 2024 IEEE Symposium on Security and Privacy (SP) • 36 citations
  Yang et al.
• Query Rewriting For Retrieval-augmented Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 140 citations
  Ma et al.
• Eureka: Human-level Reward Design Via Coding Large Language Models (2023) • No Venue
  Ma et al.
• LIV: Language-image Representations And Rewards For Robotic Control (2023) • Arxiv • 24 citations
  Ma et al.
• LASER: LLM Agent With State-space Exploration For Web Navigation (2023) • No Venue
  Ma et al.
• Self-refine: Iterative Refinement With Self-feedback (2023) • Arxiv • 205 citations
  Madaan et al.
• Tell Me A Story! Narrative-driven XAI With Large Language Models (2023) • Decision Support Systems • 13 citations
  Martens et al.
• Vision-language Models Are Zero-shot Reward Models For Reinforcement Learning (2023) • No Venue
  Rocamonde et al.
• Deepspeed-visualchat: Multi-round Multi-image Interleave Chat Via Multi-modal Causal Attention (2023) • No Venue
  Yao et al.
• Gender Bias And Stereotypes In Large Language Models (2023) • CI '23: Collective Intelligence Conference • 237 citations
  Hadas Kotek, Rikker Dockum, David Q. Sun
• Llmlight: Large Language Models As Traffic Signal Control Agents (2023) • KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 16 citations
  Lai et al.
• Okapi: Instruction-tuned Large Language Models In Multiple Languages With Reinforcement Learning From Human Feedback (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations • 16 citations
  Lai et al.
• RLAIF: Scaling Reinforcement Learning From Human Feedback With AI Feedback (2023) • No Venue
  Lee et al.
• Lora Fine-tuning Efficiently Undoes Safety Training In Llama 2-chat 70B (2023) • No Venue
  Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish
• Auto Mc-reward: Automated Dense Reward Design With Large Language Models For Minecraft (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Li et al.
• Silkie: Preference Distillation For Large Visual Language Models (2023) • No Venue
  Li et al.
• Inference-time Intervention: Eliciting Truthful Answers From A Language Model (2023) • Arxiv • 38 citations
  Li et al.
• Tuna: Instruction Tuning Using Feedback From Large Language Models (2023) • No Venue
  Li et al.
• Theory Of Mind For Multi-agent Collaboration Via Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 48 citations
  Li et al.
• Gpt-fathom: Benchmarking Large Language Models To Decipher The Evolutionary Path Towards GPT-4 And Beyond (2023) • No Venue
  Zheng et al.
• Rich Human Feedback For Text-to-image Generation (2023) • No Venue
  Liang et al.
• Retroformer: Retrospective Large Language Agents With Policy Gradient Optimization (2023) • No Venue
  Yao et al.
• Opening Up Chatgpt: Tracking Openness, Transparency, And Accountability In Instruction-tuned Text Generators (2023) • CUI '23: ACM conference on Conversational User Interfaces • 68 citations
  Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
• Mitigating The Alignment Tax Of RLHF (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Lin et al.
• Psychat: A Client-centric Dialogue System For Mental Health Support (2023) • 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) • 15 citations
  Qiu et al.
• Towards Healthy AI: Large Language Models Need Therapists Too (2023) • Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024) • 11 citations
  Lin et al.
• The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning (2023) • No Venue
  Lin et al.
• Fingpt: Democratizing Internet-scale Data For Financial Large Language Models (2023) • Arxiv • 22 citations
  Liu et al.
• Multi-task Recommendations With Reinforcement Learning (2023) • Proceedings of the ACM Web Conference 2023 • 38 citations
  Liu et al.
• Summary Of Chatgpt-related Research And Perspective Towards The Future Of Large Language Models (2023) • Meta-Radiology • 620 citations
  Liu et al.
• Statistical Rejection Sampling Improves Preference Optimization (2023) • No Venue
  Liu et al.
• Unveiling The Implicit Toxicity In Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Wen et al.
• Task-optimized Adapters For An End-to-end Task-oriented Dialogue System (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 10 citations
  Namo Bang, Jeehyun Lee, Myoung-Wan Koo
• Vision-language Models As A Source Of Rewards (2023) • No Venue
  Baumli et al.
• Emergent Autonomous Scientific Research Capabilities Of Large Language Models (2023) • Arxiv • 73 citations
  Daniil A. Boiko, Robert MacKnight, Gabe Gomes
• PASTA: Pretrained Action-state Transformer Agents (2023) • No Venue
  Boige et al.
• Transformers And Large Language Models For Chemistry And Drug Discovery (2023) • Drug Development Supported by Informatics • 12 citations
  Andres M Bran, Philippe Schwaller
• Weak-to-strong Generalization: Eliciting Strong Capabilities With Weak Supervision (2023) • No Venue
  Burns et al.
• Aligning Large Multimodal Models With Factually Augmented RLHF (2023) • No Venue
  Sun et al.
• Beautifulprompt: Towards Automatic Prompt Engineering For Text-to-image Synthesis (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 11 citations
  Cao et al.
• Open Problems And Fundamental Limitations Of Reinforcement Learning From Human Feedback (2023) • No Venue
  Casper et al.
• Q-transformer: Scalable Offline Reinforcement Learning Via Autoregressive Q-functions (2023) • No Venue
  Chebotar et al.
• DRESS: Instructing Large Vision-language Models To Align And Interact With Humans Via Natural Language Feedback (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Chen et al.
• Diffusion Model Alignment Using Direct Preference Optimization (2023) • No Venue
  Wallace et al.
• A Long Way To Go: Investigating Length Correlations In RLHF (2023) • No Venue
  Singhal et al.
• Preference Ranking Optimization For Human Alignment (2023) • Arxiv • 12 citations
  Song et al.
• Black-box Prompt Optimization: Aligning Large Language Models Without Model Training (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Cheng et al.
• Optimus-cc: Efficient Large NLP Model Training With 3D Parallelism Aware Communication Compression (2023) • Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 • 28 citations
  Song et al.
• Shilling Black-box Review-based Recommender Systems Through Fake Review Generation (2023) • Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 13 citations
  Chiang et al.
• Pangu-agent: A Fine-tunable Generalist Agent With Structured Reasoning (2023) • No Venue
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• Safe RLHF: Safe Reinforcement Learning From Human Feedback (2023) • No Venue
  Dai et al.
• Everything Of Thoughts: Defying The Law Of Penrose Triangle For Thought Generation (2023) • No Venue
  Ding et al.
• RAFT: Reward Ranked Finetuning For Generative Foundation Model Alignment (2023) • Arxiv • 27 citations
  Dong et al.
• Rewritelm: An Instruction-tuned Large Language Model For Text Rewriting (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 21 citations
  Shu et al.
• Unveiling Security, Privacy, And Ethical Concerns Of Chatgpt (2023) • Journal of Information and Intelligence • 186 citations
  Xiaodong Wu, Ran Duan, Jianbing Ni
• Alpacafarm: A Simulation Framework For Methods That Learn From Human Feedback (2023) • Arxiv • 53 citations
  Dubois et al.
• Reflexion: Language Agents With Verbal Reinforcement Learning (2023) • Arxiv • 253 citations
  Shinn et al.
• SPRING: Studying The Paper And Reasoning To Play Games (2023) • Arxiv • 10 citations
  Wu et al.
• Unleashing The Power Of Pre-trained Language Models For Offline Reinforcement Learning (2023) • No Venue
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• Is Chatgpt A Good Causal Reasoner? A Comprehensive Evaluation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 33 citations
  Gao et al.
• Pangu-coder2: Boosting Large Language Models For Code With Ranking Feedback (2023) • No Venue
  Shen et al.
• RLAS-BIABC: A Reinforcement Learning-based Answer Selection Using The BERT Model Boosted By An Improved ABC Algorithm (2023) • Computational Intelligence and Neuroscience • 36 citations
  Gharagozlou et al.
• Secrets Of RLHF In Large Language Models Part I: PPO (2023) • No Venue
  Zheng et al.
• Removing RLHF Protections In GPT-4 Via Fine-tuning (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) • 14 citations
  Zhan et al.
• Cohortgpt: An Enhanced GPT For Participant Recruitment In Clinical Study (2023) • Arxiv • 15 citations
  Guan et al.
• Detecting And Preventing Hallucinations In Large Vision Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 100 citations
  Anisha Gunjal, Jihan Yin, Erhan Bas
• Contrastive Prefence Learning: Learning From Human Feedback Without RL (2023) • No Venue
  Hejna et al.
• Towards Llm-based Autograding For Short Textual Answers (2023) • 16th International Conference on Computer Supported Education • 23 citations
  Johannes Schneider, Bernd Schenk, Christina Niklaus
• Mp-rec: Hardware-software Co-design To Enable Multi-path Recommendation (2023) • ASPLOS '23: 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 • 11 citations
  Hsia et al.
• Large Language Models (GPT) Struggle To Answer Multiple-choice Questions About Code (2023) • 15th International Conference on Computer Supported Education • 41 citations
  Savelka et al.
• Facilitating Multi-turn Emotional Support Conversation With Positive Emotion Elicitation: A Reinforcement Learning Approach (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Zhou et al.
• Acegpt, Localizing Large Language Models In Arabic (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 11 citations
  Huang et al.
• RLHF-V: Towards Trustworthy Mllms Via Behavior Alignment From Fine-grained Correctional Human Feedback (2023) • No Venue
  Yu et al.
• Chimed-gpt: A Chinese Medical Large Language Model With Full Training Regime And Better Alignment To Human Preferences (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 23 citations
  Tian et al.
• Just Ask For Calibration: Strategies For Eliciting Calibrated Confidence Scores From Language Models Fine-tuned With Human Feedback (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 56 citations
  Tian et al.
• Efficient RLHF: Reducing The Memory Usage Of PPO (2023) • No Venue
  Santacroce et al.
• Cotran: An Llm-based Code Translator Using Reinforcement Learning With Feedback From Compiler And Symbolic Execution (2023) • Frontiers in Artificial Intelligence and Applications • 11 citations
  Jana et al.
• Axiomatic Preference Modeling For Longform Question Answering (2023) • No Venue
  Rosset et al.
• Factually Consistent Summarization Via Reinforcement Learning With Textual Entailment Feedback (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Roit et al.
• In-context Reinforcement Learning With Algorithm Distillation (2022) • Arxiv • 10 citations
  Laskin et al.
• Red Teaming Language Models With Language Models (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 161 citations
  Perez et al.
• Discovering Language Model Behaviors With Model-written Evaluations (2022) • Findings of the Association for Computational Linguistics: ACL 2023 • 58 citations
  Perez et al.
• Sim-to-real Transfer For Quadrupedal Locomotion Via Terrain Transformer (2022) • 2023 IEEE International Conference on Robotics and Automation (ICRA) • 14 citations
  Lai et al.
• Quark: Controllable Text Generation With Reinforced Unlearning (2022) • NeurIPS 2022 (Oral Selection) • 45 citations
  Lu et al.
• Semantic Exploration From Language Abstractions And Pretrained Representations (2022) • Arxiv • 16 citations
  Tam et al.
• Using Cognitive Psychology To Understand GPT-3 (2022) • Arxiv • 62 citations
  Marcel Binz, Eric Schulz
• Automatic Question Generation Based On Sentence Structure Analysis Using Machine Learning Approach (2022) • Natural Language Engineering • 28 citations
  Miroslav Blšták, Viera Rozinajová
• Dynamic Prompt Learning Via Policy Gradient For Semi-structured Mathematical Reasoning (2022) • Arxiv • 41 citations
  Lu et al.
• Knowledge Infused Decoding (2022) • Arxiv • 11 citations
  Liu et al.
• Reinforced Structured State-evolution For Vision-language Navigation (2022) • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 35 citations
  Chen et al.
• Combining Modular Skills In Multitask Learning (2022) • Arxiv • 17 citations
  Ponti et al.
• Augmenting Reinforcement Learning With Transformer-based Scene Representation Learning For Decision-making Of Autonomous Driving (2022) • IEEE Transactions on Intelligent Vehicles • 41 citations
  Liu et al.
• Improving Multi-document Summarization Through Referenced Flexible Extraction With Credit-awareness (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 16 citations
  Yun-Zhu Song, Yi-Syuan Chen, Hong-Han Shuai
• CHAI: A Chatbot AI For Task-oriented Dialogue With Offline Reinforcement Learning (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 15 citations
  Verma et al.
• Contrastive Representation Learning For Conversational Question Answering Over Knowledge Graphs (2022) • Proceedings of the 31st ACM International Conference on Information & Knowledge Management • 18 citations
  Kacupaj et al.
• Can Question Rewriting Help Conversational Question Answering? (2022) • Proceedings of the Third Workshop on Insights from Negative Results in NLP • 10 citations
  Ishii et al.
• Recshard: Statistical Feature-based Memory Optimization For Industry-scale Neural Recommendation (2022) • Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems • 60 citations
  Sethi et al.
• Optimizing Prompts For Text-to-image Generation (2022) • Arxiv • 38 citations
  Hao et al.
• Learning To Parallelize In A Shared-memory Environment With Transformers (2022) • PPoPP '23: The 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming • 13 citations
  Re'Em Harel, Yuval Pinter, Gal Oren
• Using Chatbots To Teach Languages (2022) • Proceedings of the Ninth ACM Conference on Learning @ Scale • 13 citations
  Li et al.
• Bailando: 3D Dance Generation By Actor-critic GPT With Choreographic Memory (2022) • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 132 citations
  Siyao et al.
• Rainier: Reinforced Knowledge Introspector For Commonsense Question Answering (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 31 citations
  Liu et al.
• Rlprompt: Optimizing Discrete Text Prompts With Reinforcement Learning (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 75 citations
  Deng et al.
• Automatic Generation Of Socratic Subquestions For Teaching Math Word Problems (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 17 citations
  Shridhar et al.
• Inferring Rewards From Language In Context (2022) • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Lin et al.
• Reward Modeling For Mitigating Toxicity In Transformer-based Language Models (2022) • Applied Intelligence • 16 citations
  Farshid Faal, Ketra Schmitt, Jia Yuan Yu
• Active Example Selection For In-context Learning (2022) • Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing • 72 citations
  Yiming Zhang, Shi Feng, Chenhao Tan
• Dialfred: Dialogue-enabled Agents For Embodied Instruction Following (2022) • IEEE Robotics and Automation Letters • 27 citations
  Gao et al.
• Recursively Summarizing Books With Human Feedback (2021) • Arxiv • 65 citations
  Wu et al.
• TR-BERT: Dynamic Token Reduction For Accelerating BERT Inference (2021) • Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 39 citations
  Ye et al.
• Towards Facilitating Empathic Conversations In Online Mental Health Support: A Reinforcement Learning Approach (2021) • WWW '21: The Web Conference 2021 • 86 citations
  Sharma et al.
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• Hybrid Code Networks: Practical And Efficient End-to-end Dialog Control With Supervised And Reinforcement Learning (2017) • Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 105 citations
  Jason D. Williams, Kavosh Asadi, Geoffrey Zweig
• Paraphrase Generation With Deep Reinforcement Learning (2017) • Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing • 49 citations
  Li et al.
• Learning Cooperative Visual Dialog Agents With Deep Reinforcement Learning (2017) • 2017 IEEE International Conference on Computer Vision (ICCV) • 144 citations
  Das et al.
• Are You Talking To Me? Reasoned Visual Dialog Generation Through Adversarial Learning (2017) • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 65 citations
  Wu et al.
• Composite Task-completion Dialogue Policy Learning Via Hierarchical Deep Reinforcement Learning (2017) • Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing • 62 citations
  Peng et al.
• On-line Active Reward Learning For Policy Optimisation In Spoken Dialogue Systems (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 35 citations
  Su et al.
• Seqgan: Sequence Generative Adversarial Nets With Policy Gradient (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 956 citations
  Yu et al.
• Bbq-networks: Efficient Exploration In Deep Reinforcement Learning For Task-oriented Dialogue Systems (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 42 citations
  Lipton et al.
• Towards End-to-end Learning For Dialog State Tracking And Management Using Deep Reinforcement Learning (2016) • Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue • 76 citations
  Tiancheng Zhao, Maxine Eskenazi
• Learning To Compose Neural Networks For Question Answering (2016) • Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 222 citations
  Andreas et al.
• Navigational Instruction Generation As Inverse Reinforcement Learning With Neural Machine Translation (2016) • HRI '17: ACM/IEEE International Conference on Human-Robot Interaction • 12 citations
  Andrea F. Daniele, Mohit Bansal, Matthew R. Walter
• Personalizing A Dialogue System With Transfer Reinforcement Learning (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 52 citations
  Mo et al.
• Generating Visual Explanations (2016) • Lecture Notes in Computer Science • 241 citations
  Hendricks et al.
• Simpleds: A Simple Deep Reinforcement Learning Dialogue System (2016) • Lecture Notes in Electrical Engineering • 31 citations
  Heriberto Cuayáhuitl
• Towards End-to-end Reinforcement Learning Of Dialogue Agents For Information Access (2016) • Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 80 citations
  Dhingra et al.
• Policy Networks With Two-stage Training For Dialogue Systems (2016) • Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue • 21 citations
  Fatemi et al.
• Reasonet: Learning To Stop Reading In Machine Comprehension (2016) • KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 97 citations
  Shen et al.
• Deep Reinforcement Learning For Dialogue Generation (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 461 citations
  Li et al.

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Safety & Alignment 1058 papers #

• Inference-time Physics Alignment Of Video Generative Models With Latent World Models (2026) • No Venue
  Yuan et al.
• Locate, Steer, And Improve: A Practical Survey Of Actionable Mechanistic Interpretability In Large Language Models (2026) • No Venue
  Zhang et al.
• Are Llms Vulnerable To Preference-undermining Attacks (PUA)? A Factorial Analysis Methodology For Diagnosing The Trade-off Between Preference Alignment And Real-world Validity (2026) • No Venue
  An et al.
• Et-agent: Incentivizing Effective Tool-integrated Reasoning Agent Via Behavior Calibration (2026) • No Venue
  Yifei Chen, Guanting Dong, Zhicheng Dou
• Ar-omni: A Unified Autoregressive Model For Any-to-any Generation (2026) • No Venue
  Cheng et al.
• COMPASS: A Framework For Evaluating Organization-specific Policy Alignment In Llms (2026) • No Venue
  Choi et al.
• An Empirical Study On Preference Tuning Generalization And Diversity Under Domain Shift (2026) • No Venue
  Constantinos Karouzos, Xingwei Tan, Nikolaos Aletras
• Lost In The Noise: How Reasoning Models Fail With Contextual Distractors (2026) • No Venue
  Lee et al.
• THINKSAFE: Self-generated Safety Alignment For Reasoning Models (2026) • No Venue
  Lee et al.
• Meeplelm: A Virtual Playtester Simulating Diverse Subjective Experiences (2026) • No Venue
  Li et al.
• Agentdog: A Diagnostic Guardrail Framework For AI Agent Safety And Security (2026) • No Venue
  Liu et al.
• Profit: Leveraging High-value Signals In SFT Via Probability-guided Token Selection (2026) • No Venue
  Liu et al.
• The Assistant Axis: Situating And Stabilizing The Default Persona Of Language Models (2026) • No Venue
  Lu et al.
• A Safety Report On GPT-5.2, Gemini 3 Pro, Qwen3-vl, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, And Seedream 4.5 (2026) • No Venue
  Ma et al.
• Paper2rebuttal: A Multi-agent Framework For Transparent Author Response Assistance (2026) • No Venue
  Ma et al.
• A Bertology View Of LLM Orchestrations: Token- And Layer-selective Probes For Efficient Single-pass Classification (2026) • No Venue
  Gonzalo Ariel Meyoyan, Luciano del Corro
• Toolsafe: Enhancing Tool Invocation Safety Of Llm-based Agents Via Proactive Step-level Guardrail And Feedback (2026) • No Venue
  Mou et al.
• Memobrain: Executive Memory As An Agentic Brain For Reasoning (2026) • No Venue
  Hongjin Qian, Zhao Cao, Zheng Liu
• Aligning Agentic World Models Via Knowledgeable Experience Learning (2026) • No Venue
  Ren et al.
• Qwen3-asr Technical Report (2026) • No Venue
  Shi et al.
• VAR RL Done Right: Tackling Asynchronous Policy Conflicts In Visual Autoregressive Generation (2026) • No Venue
  Sun et al.
• Triplay-rl: Tri-role Self-play Reinforcement Learning For LLM Safety Alignment (2026) • No Venue
  Tan et al.
• Self-improving Pretraining: Using Post-trained Models To Pretrain Better Models (2026) • No Venue
  Tan et al.
• Openrt: An Open-source Red Teaming Framework For Multimodal Llms (2026) • No Venue
  Wang et al.
• Atlas: Orchestrating Heterogeneous Models And Tools For Multi-domain Complex Reasoning (2026) • No Venue
  Wu et al.
• Tag-moe: Task-aware Gating For Unified Generative Mixture-of-experts (2026) • No Venue
  Xu et al.
• Omnialign-v: Towards Enhanced Alignment Of Mllms With Human Preference (2025) • No Venue
  Zhao et al.
• Qwen3guard Technical Report (2025) • No Venue
  Zhao et al.
• Too Good To Be Bad: On The Failure Of Llms To Role-play Villains (2025) • No Venue
  Yi et al.
• Recgpt Technical Report (2025) • No Venue
  Yi et al.
• Ψ-sampler: Initial Particle Sampling For Smc-based Inference-time Reward Alignment In Score Models (2025) • No Venue
  Yoon et al.
• Aligning Multimodal LLM With Human Preference: A Survey (2025) • No Venue
  Yu et al.
• Every Question Has Its Own Value: Reinforcement Learning With Explicit Human Values (2025) • No Venue
  Yu et al.
• Guided Self-evolving Llms With Minimal Human Supervision (2025) • No Venue
  Yu et al.
• Vision-r1: Evolving Human-free Alignment In Large Vision-language Models Via Vision-guided Reinforcement Learning (2025) • No Venue
  Zhan et al.
• CCD: Mitigating Hallucinations In Radiology Mllms Via Clinical Contrastive Decoding (2025) • No Venue
  Zhang et al.
• Inverse Ifeval: Can Llms Unlearn Stubborn Training Conventions To Follow Real Instructions? (2025) • No Venue
  Zhang et al.
• MM-RLHF: The Next Step Forward In Multimodal LLM Alignment (2025) • No Venue
  Zhang et al.
• Mlrc-bench: Can Language Agents Solve Machine Learning Research Challenges? (2025) • No Venue
  Zhang et al.
• Metamind: Modeling Human Social Thoughts With Metacognitive Multi-agent Systems (2025) • No Venue
  Zhang et al.
• Reasoning Over Boundaries: Enhancing Specification Alignment Via Test-time Delibration (2025) • No Venue
  Zhang et al.
• Socioverse: A World Model For Social Simulation Powered By LLM Agents And A Pool Of 10 Million Real-world Users (2025) • No Venue
  Zhang et al.
• TARS: Minmax Token-adaptive Preference Strategy For Hallucination Reduction In Mllms (2025) • No Venue
  Zhang et al.
• Verbalized Sampling: How To Mitigate Mode Collapse And Unlock LLM Diversity (2025) • No Venue
  Zhang et al.
• World Simulation With Video Foundation Models For Physical AI (2025) • No Venue
  Nvidia et al.
• Ask In Any Modality: A Comprehensive Survey On Multimodal Retrieval-augmented Generation (2025) • No Venue
  Abootorabi et al.
• Emergent Misalignment Via In-context Learning: Narrow In-context Examples Can Produce Broadly Misaligned Llms (2025) • No Venue
  Afonin et al.
• Ultraif: Advancing Instruction Following From The Wild (2025) • No Venue
  An et al.
• R3: Robust Rubric-agnostic Reward Models (2025) • No Venue
  Anugraha et al.
• O3-mini Vs Deepseek-r1: Which One Is Safer? (2025) • No Venue
  Arrieta et al.
• CRISP: Persistent Concept Unlearning Via Sparse Autoencoders (2025) • No Venue
  Ashuach et al.
• Guardians Of The Agentic System: Preventing Many Shots Jailbreak With Agentic System (2025) • No Venue
  Barua et al.
• Extracting Alignment Data In Open Models (2025) • No Venue
  Barbero et al.
• Exploiting Instruction-following Retrievers For Malicious Information Retrieval (2025) • No Venue
  Parishad Behnamghader, Nicholas Meade, Siva Reddy
• Value Drifts: Tracing Value Alignment During LLM Post-training (2025) • No Venue
  Bhatia et al.
• Llada2.0: Scaling Up Diffusion Language Models To 100B (2025) • No Venue
  Bie et al.
• Hail To The Thief: Exploring Attacks And Defenses In Decentralised GRPO (2025) • No Venue
  Nikolay Blagoev, Oğuzhan Ersoy, Lydia Yiyu Chen
• Condor: Enhance LLM Alignment With Knowledge-driven Data Synthesis And Refinement (2025) • No Venue
  Cao et al.
• Rewardsds: Aligning Score Distillation Via Reward-weighted Sampling (2025) • No Venue
  Itay Chachy, Guy Yariv, Sagie Benaim
• Why Do Multi-agent LLM Systems Fail? (2025) • No Venue
  Cemri et al.
• Mitigating Object And Action Hallucinations In Multimodal Llms Via Self-augmented Contrastive Alignment (2025) • No Venue
  Chang et al.
• Exploration V.s. Exploitation: Rethinking RLVR Through Clipping, Entropy, And Spurious Reward (2025) • No Venue
  Chen et al.
• Flash-dmd: Towards High-fidelity Few-step Image Generation With Efficient Distillation And Joint Reinforcement Learning (2025) • No Venue
  Chen et al.
• Longpo: Long Context Self-evolution Of Large Language Models Through Short-to-long Preference Optimization (2025) • No Venue
  Chen et al.
• Selfcite: Self-supervised Alignment For Context Attribution In Large Language Models (2025) • No Venue
  Chuang et al.
• Deepresearchgym: A Free, Transparent, And Reproducible Evaluation Sandbox For Deep Research (2025) • No Venue
  Coelho et al.
• Robusto-1 Dataset: Comparing Humans And Vlms On Real Out-of-distribution Autonomous Driving VQA From Peru (2025) • No Venue
  Cusipuma et al.
• DPO Kernels: A Semantically-aware, Kernel-enhanced, And Divergence-rich Paradigm For Direct Preference Optimization (2025) • No Venue
  Das et al.
• Defeating Prompt Injections By Design (2025) • No Venue
  Debenedetti et al.
• Flux-reason-6m & Prism-bench: A Million-scale Text-to-image Reasoning Dataset And Comprehensive Benchmark (2025) • No Venue
  Fang et al.
• Investigating Safety Vulnerabilities Of Large Audio-language Models Under Speaker Emotional Variations (2025) • No Venue
  Feng et al.
• Spatial-aware VLA Pretraining Through Visual-physical Alignment From Human Videos (2025) • No Venue
  Feng et al.
• Imperceptible Jailbreaking Against Large Language Models (2025) • No Venue
  Gao et al.
• Txagent: An AI Agent For Therapeutic Reasoning Across A Universe Of Tools (2025) • No Venue
  Gao et al.
• Seedream 3.0 Technical Report (2025) • No Venue
  Gao et al.
• The Aloe Family Recipe For Open And Specialized Healthcare Llms (2025) • No Venue
  Garcia-Gasulla et al.
• The Differences Between Direct Alignment Algorithms Are A Blur (2025) • No Venue
  Gorbatovski et al.
• Mask-dpo: Generalizable Fine-grained Factuality Alignment Of Llms (2025) • No Venue
  Gu et al.
• Tree-based Dialogue Reinforced Policy Optimization For Red-teaming Attacks (2025) • No Venue
  Guo et al.
• IMG: Calibrating Diffusion Models Via Implicit Multimodal Guidance (2025) • No Venue
  Guo et al.
• On-policy RL With Optimal Reward Baseline (2025) • No Venue
  Hao et al.
• Few Tokens Matter: Entropy Guided Attacks On Vision-language Models (2025) • No Venue
  He et al.
• GARDO: Reinforcing Diffusion Models Without Reward Hacking (2025) • No Venue
  He et al.
• Tempflow-grpo: When Timing Matters For GRPO In Flow Models (2025) • No Venue
  He et al.
• Multi-agent Deep Research: Training Multi-agent Systems With M-GRPO (2025) • No Venue
  Hong et al.
• Dita: Scaling Diffusion Transformer For Generalist Vision-language-action Policy (2025) • No Venue
  Hou et al.
• Jailbreaking With Universal Multi-prompts (2025) • No Venue
  Yu-Ling Hsu, Hsuan Su, Shang-Tse Chen
• Beyond 'aha!': Toward Systematic Meta-abilities Alignment In Large Reasoning Models (2025) • No Venue
  Hu et al.
• Llms Learn To Deceive Unintentionally: Emergent Misalignment In Dishonesty From Misaligned Samples To Biased Human-ai Interactions (2025) • No Venue
  Hu et al.
• Plan-x: Instruct Video Generation Via Semantic Planning (2025) • No Venue
  Huang et al.
• Vistadpo: Video Hierarchical Spatial-temporal Direct Preference Optimization For Large Video Models (2025) • No Venue
  Huang et al.
• Virus: Harmful Fine-tuning Attack For Large Language Models Bypassing Guardrail Moderation (2025) • No Venue
  Huang et al.
• Lego-eval: Towards Fine-grained Evaluation On Synthesizing 3D Embodied Environments With Tool Augmentation (2025) • No Venue
  Hwangbo et al.
• Ambik: Dataset Of Ambiguous Tasks In Kitchen Environment (2025) • No Venue
  Ivanova et al.
• Sentinel: SOTA Model To Protect Against Prompt Injections (2025) • No Venue
  Dror Ivry, Oran Nahum
• Silent Branding Attack: Trigger-free Data Poisoning Attack On Text-to-image Diffusion Models (2025) • No Venue
  Jang et al.
• System Message Generation For User Preferences Using Open-source Models (2025) • No Venue
  Jeong et al.
• Realharm: A Collection Of Real-world Language Model Application Failures (2025) • No Venue
  Jeune et al.
• Almost Surely Safe Alignment Of Large Language Models At Inference-time (2025) • No Venue
  Ji et al.
• Omnisafebench-mm: A Unified Benchmark And Toolbox For Multimodal Jailbreak Attack-defense Evaluation (2025) • No Venue
  Jia et al.
• Infiniteyou: Flexible Photo Recrafting While Preserving Your Identity (2025) • No Venue
  Jiang et al.
• Verltool: Towards Holistic Agentic Reinforcement Learning With Tool Use (2025) • No Venue
  Jiang et al.
• The Era Of Real-world Human Interaction: RL From User Conversations (2025) • No Venue
  Jin et al.
• Expect The Unexpected: Failsafe Long Context QA For Finance (2025) • No Venue
  Kamble et al.
• LEGION: Learning To Ground And Explain For Synthetic Image Detection (2025) • No Venue
  Kang et al.
• Concept Steerers: Leveraging K-sparse Autoencoders For Controllable Generations (2025) • No Venue
  Dahye Kim, Deepti Ghadiyaram
• Meta-awareness Enhances Reasoning Models: Self-alignment Reinforcement Learning (2025) • No Venue
  Yoonjeon Kim, Doohyuk Jang, Eunho Yang
• Toward Evaluative Thinking: Meta Policy Optimization With Evolving Reward Models (2025) • No Venue
  Kim et al.
• Distillm-2: A Contrastive Approach Boosts The Distillation Of Llms (2025) • No Venue
  Ko et al.
• Token Reduction Should Go Beyond Efficiency In Generative Models -- From Vision, Language To Multimodality (2025) • No Venue
  Kong et al.
• The Rogue Scalpel: Activation Steering Compromises LLM Safety (2025) • No Venue
  Korznikov et al.
• Towards Safety Reasoning In Llms: Ai-agentic Deliberation For Policy-embedded Cot Data Creation (2025) • No Venue
  Kumarage et al.
• Measuring AI Ability To Complete Long Tasks (2025) • No Venue
  Kwa et al.
• Mappo: Maximum A Posteriori Preference Optimization With Prior Knowledge (2025) • No Venue
  Lan et al.
• The Cot Encyclopedia: Analyzing, Predicting, And Controlling How A Reasoning Model Will Think (2025) • No Venue
  Lee et al.
• Offtopiceval: When Large Language Models Enter The Wrong Chat, Almost Always! (2025) • No Venue
  Lei et al.
• Why Safeguarded Ships Run Aground? Aligned Large Language Models' Safety Mechanisms Tend To Be Anchored In The Template Region (2025) • No Venue
  Leong et al.
• Aligning Latent Spaces With Flow Priors (2025) • No Venue
  Li et al.
• Audiotrust: Benchmarking The Multifaceted Trustworthiness Of Audio Large Language Models (2025) • No Venue
  Li et al.
• Can Llms Estimate Student Struggles? Human-ai Difficulty Alignment With Proficiency Simulation For Item Difficulty Prediction (2025) • No Venue
  Li et al.
• Have We Unified Image Generation And Understanding Yet? An Empirical Study Of Gpt-4o's Image Generation Ability (2025) • No Venue
  Ning Li, Jingran Zhang, Justin Cui
• IA-T2I: Internet-augmented Text-to-image Generation (2025) • No Venue
  Li et al.
• Judging With Confidence: Calibrating Autoraters To Preference Distributions (2025) • No Venue
  Li et al.
• Mixgrpo: Unlocking Flow-based GRPO Efficiency With Mixed ODE-SDE (2025) • No Venue
  Li et al.
• Where LLM Agents Fail And How They Can Learn From Failures (2025) • No Venue
  Zhu et al.
• Spatial Forcing: Implicit Spatial Representation Alignment For Vision-language-action Model (2025) • No Venue
  Li et al.
• WALL-E 2.0: World Alignment By Neurosymbolic Learning Improves World Model-based LLM Agents (2025) • No Venue
  Zhou et al.
• Revisiting Multi-agent Debate As Test-time Scaling: A Systematic Study Of Conditional Effectiveness (2025) • No Venue
  Yang et al.
• Kwai Keye-vl 1.5 Technical Report (2025) • No Venue
  Yang et al.
• Moose-chem2: Exploring LLM Limits In Fine-grained Scientific Hypothesis Discovery Via Hierarchical Search (2025) • No Venue
  Yang et al.
• Are Reasoning Models More Prone To Hallucination? (2025) • No Venue
  Yao et al.
• Sceneweaver: All-in-one 3D Scene Synthesis With An Extensible And Self-reflective Agent (2025) • No Venue
  Yang et al.
• BARREL: Boundary-aware Reasoning For Factual And Reliable Lrms (2025) • No Venue
  Yang et al.
• Exploring Cognitive And Aesthetic Causality For Multimodal Aspect-based Sentiment Analysis (2025) • IEEE Transactions on Affective Computing • 13 citations
  Xiao et al.
• Foundations Of Large Language Models (2025) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Tong Xiao, Jingbo Zhu
• Scaling Language-centric Omnimodal Representation Learning (2025) • No Venue
  Xiao et al.
• Opensearch-sql: Enhancing Text-to-sql With Dynamic Few-shot And Consistency Alignment (2025) • Proceedings of the ACM on Management of Data • 11 citations
  Xie et al.
• Llms Can Get "brain Rot"! (2025) • No Venue
  Xing et al.
• Scalecap: Inference-time Scalable Image Captioning Via Dual-modality Debiasing (2025) • No Venue
  Xing et al.
• Easyedit2: An Easy-to-use Steering Framework For Editing Large Language Models (2025) • No Venue
  Xu et al.
• Dancegrpo: Unleashing GRPO On Visual Generation (2025) • No Venue
  Xue et al.
• Gpt-imgeval: A Comprehensive Benchmark For Diagnosing Gpt4o In Image Generation (2025) • No Venue
  Yan et al.
• Can Llms Replace Human Evaluators? An Empirical Study Of Llm-as-a-judge In Software Engineering (2025) • Proceedings of the ACM on Software Engineering • 16 citations
  Wang et al.
• Fintagging: An Llm-ready Benchmark For Extracting And Structuring Financial Information (2025) • No Venue
  Wang et al.
• Let It Flow: Agentic Crafting On Rock And Roll, Building The ROME Model Within An Open Agentic Learning Ecosystem (2025) • No Venue
  Wang et al.
• Lifelong Safety Alignment For Language Models (2025) • No Venue
  Wang et al.
• Mr-align: Meta-reasoning Informed Factuality Alignment For Large Reasoning Models (2025) • No Venue
  Wang et al.
• Nemotron-cascade: Scaling Cascaded Reinforcement Learning For General-purpose Reasoning Models (2025) • No Venue
  Wang et al.
• Skywork Unipic: Unified Autoregressive Modeling For Visual Understanding And Generation (2025) • No Venue
  Wang et al.
• Unified Reward Model For Multimodal Understanding And Generation (2025) • No Venue
  Wang et al.
• Voiceassistant-eval: Benchmarking AI Assistants Across Listening, Speaking, And Viewing (2025) • No Venue
  Wang et al.
• Analyzing Llms' Knowledge Boundary Cognition Across Languages Through The Lens Of Internal Representations (2025) • No Venue
  Xiao et al.
• Llama-3.1-foundationai-securityllm-8b-instruct Technical Report (2025) • No Venue
  Weerawardhena et al.
• The Devil Behind The Mask: An Emergent Safety Vulnerability Of Diffusion Llms (2025) • No Venue
  Wen et al.
• Aligning Crowd-sourced Human Feedback For Reinforcement Learning On Code Generation By Large Language Models (2025) • IEEE Transactions on Big Data • 27 citations
  Man Fai Wong, Chee Wei Tan
• Editreward: A Human-aligned Reward Model For Instruction-guided Image Editing (2025) • No Venue
  Wu et al.
• Effectively Controlling Reasoning Models Through Thinking Intervention (2025) • No Venue
  Wu et al.
• Quantile Advantage Estimation For Entropy-safe Reasoning (2025) • No Venue
  Wu et al.
• Multiplayer Nash Preference Optimization (2025) • No Venue
  Wu et al.
• Personalized Safety In Llms: A Benchmark And A Planning-based Agent Approach (2025) • No Venue
  Wu et al.
• Rewarddance: Reward Scaling In Visual Generation (2025) • No Venue
  Wu et al.
• Rewordbench: Benchmarking And Improving The Robustness Of Reward Models With Transformed Inputs (2025) • No Venue
  Wu et al.
• Free Lunch Alignment Of Text-to-image Diffusion Models Without Preference Image Pairs (2025) • No Venue
  Xian et al.
• Annotation-efficient Universal Honesty Alignment (2025) • No Venue
  Ni et al.
• Language Models Are Injective And Hence Invertible (2025) • No Venue
  Nikolaou et al.
• Infecting Generative AI With Viruses (2025) • No Venue
  David Noever, Forrest McKee
• Teaching With Lies: Curriculum DPO On Synthetic Negatives For Hallucination Detection (2025) • No Venue
  Pandit et al.
• Strategic Dishonesty Can Undermine AI Safety Evaluations Of Frontier LLM (2025) • No Venue
  Panfilov et al.
• Temporal Alignment Guidance: On-manifold Sampling In Diffusion Models (2025) • No Venue
  Park et al.
• How To Steer LLM Latents For Hallucination Detection? (2025) • No Venue
  Park et al.
• Sweeval: Do Llms Really Swear? A Safety Benchmark For Testing Limits For Enterprise Use (2025) • No Venue
  Patel et al.
• Fine-grained Detection Of Context-grounded Hallucinations Using Llms (2025) • No Venue
  Peisakhovsky et al.
• Large Reasoning Models Learn Better Alignment From Flawed Thinking (2025) • No Venue
  Peng et al.
• So Let's Replace This Phrase With Insult... Lessons Learned From Generation Of Toxic Texts With Llms (2025) • No Venue
  Sergey Pletenev, Daniil Moskovskiy, Alexander Panchenko
• Enterprise Deep Research: Steerable Multi-agent Deep Research For Enterprise Analytics (2025) • No Venue
  Prabhakar et al.
• Judge Anything: MLLM As A Judge Across Any Modality (2025) • No Venue
  Pu et al.
• Userbench: An Interactive Gym Environment For User-centric Agents (2025) • No Venue
  Qian et al.
• Saffron-1: Towards An Inference Scaling Paradigm For LLM Safety Assurance (2025) • No Venue
  Qiu et al.
• X-teaming: Multi-turn Jailbreaks And Defenses With Adaptive Multi-agents (2025) • No Venue
  Rahman et al.
• Halogen: Fantastic LLM Hallucinations And Where To Find Them (2025) • No Venue
  Ravichander et al.
• MSTS: A Multimodal Safety Test Suite For Vision-language Models (2025) • No Venue
  Röttger et al.
• Vibe Coding Vs. Agentic Coding: Fundamentals And Practical Implications Of Agentic AI (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Turning The Spell Around: Lightweight Alignment Amplification Via Rank-one Safety Injection (2025) • No Venue
  Shairah et al.
• Rstar2-agent: Agentic Reasoning Technical Report (2025) • No Venue
  Shang et al.
• Your Agent May Misevolve: Emergent Risks In Self-evolving LLM Agents (2025) • No Venue
  Shao et al.
• Constitutional Classifiers: Defending Against Universal Jailbreaks Across Thousands Of Hours Of Red Teaming (2025) • No Venue
  Sharma et al.
• Micro: Mixture Modeling And Context-aware Routing For Personalized Preference Learning (2025) • No Venue
  Shen et al.
• Decontext As Defense: Safe Image Editing In Diffusion Transformers (2025) • No Venue
  Linghui Shen, Mingyue Cui, Xingyi Yang
• Towards Trustworthy GUI Agents: A Survey (2025) • No Venue
  Shi et al.
• Where Culture Fades: Revealing The Cultural Gap In Text-to-image Generation (2025) • No Venue
  Shi et al.
• Alchemist: Turning Public Text-to-image Data Into Generative Gold (2025) • No Venue
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• Entropy Ratio Clipping As A Soft Global Constraint For Stable Reinforcement Learning (2025) • No Venue
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  Hao Sun, Mihaela van Der Schaar
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• Are We Ready For RL In Text-to-3d Generation? A Progressive Investigation (2025) • No Venue
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  Yihong Tang, Menglin Kong, Lijun Sun
• Robust-r1: Degradation-aware Reasoning For Robust Visual Understanding (2025) • No Venue
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• COIG-P: A High-quality And Large-scale Chinese Preference Dataset For Alignment With Human Values (2025) • No Venue
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• Advances And Challenges In Foundation Agents: From Brain-inspired Intelligence To Evolutionary, Collaborative, And Safe Systems (2025) • No Venue
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• Auto-rt: Automatic Jailbreak Strategy Exploration For Red-teaming Large Language Models (2025) • No Venue
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• Infigui-r1: Advancing Multimodal GUI Agents From Reactive Actors To Deliberative Reasoners (2025) • No Venue
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  Sijia Liu, Niklas Muennighoff, Kawin Ethayarajh
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• Multimodal Fake News Detection: MFND Dataset And Shallow-deep Multitask Learning (2025) • Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24} • 22 citations
  Ye Zhu, Yunan Wang, Zitong Yu
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• From Real To Synthetic: Synthesizing Millions Of Diversified And Complicated User Instructions With Attributed Grounding (2025) • No Venue
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• Openomni: Large Language Models Pivot Zero-shot Omnimodal Alignment Across Language With Real-time Self-aware Emotional Speech Synthesis (2025) • No Venue
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• Hpsv3: Towards Wide-spectrum Human Preference Score (2025) • No Venue
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• Brief Analysis Of Deepseek R1 And Its Implications For Generative AI (2025) • SuperIntelligence - Robotics - Safety & Alignment • 20 citations
  Sarah Mercer, Samuel Spillard, Daniel P. Martin
• Medical Reasoning In Llms: An In-depth Analysis Of Deepseek R1 (2025) • Frontiers in Artificial Intelligence • 11 citations
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• M\(^2\)PT: Multimodal Prompt Tuning For Zero-shot Instruction Learning (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 19 citations
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• A Survey On Knowledge Distillation Of Large Language Models (2024) • IEEE Transactions on Artificial Intelligence • 25 citations
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• Phased Instruction Fine-tuning For Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
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• Disentangling Length From Quality In Direct Preference Optimization (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 14 citations
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• Prompt Learning Via Meta-regularization (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim
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• SNIFFER: Multimodal Large Language Model For Explainable Out-of-context Misinformation Detection (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 45 citations
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• Minicpm-v: A GPT-4V Level MLLM On Your Phone (2024) • No Venue
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• Before Generation, Align It! A Novel And Effective Strategy For Mitigating Hallucinations In Text-to-sql Generation (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
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  Rahman et al.
• Is Llm-as-a-judge Robust? Investigating Universal Adversarial Attacks On Zero-shot LLM Assessment (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Vyas Raina, Adian Liusie, Mark Gales
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• Do Llms Understand Visual Anomalies? Uncovering Llm's Capabilities In Zero-shot Anomaly Detection (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 15 citations
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• Adapting Safe-for-work Classifier For Malaysian Language Text: Enhancing Alignment In Llm-ops Framework (2024) • No Venue
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• Offline Regularised Reinforcement Learning For Large Language Models Alignment (2024) • No Venue
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• Assessing Political Bias In Large Language Models (2024) • Journal of Computational Social Science • 12 citations
  Luca Rettenberger, Markus Reischl, Mark Schutera
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• The Instruction Hierarchy: Training Llms To Prioritize Privileged Instructions (2024) • No Venue
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• Meltemi: The First Open Large Language Model For Greek (2024) • No Venue
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• Introducing V0.5 Of The AI Safety Benchmark From Mlcommons (2024) • No Venue
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• Hermes 3 Technical Report (2024) • No Venue
  Ryan Teknium, Jeffrey Quesnelle, Chen Guang
• Judging The Judges: Evaluating Alignment And Vulnerabilities In Llms-as-judges (2024) • No Venue
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• The Good, The Bad, And The Greedy: Evaluation Of Llms Should Not Ignore Non-determinism (2024) • No Venue
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• Pedagogical Alignment Of Large Language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 13 citations
  Sonkar et al.
• Signed-prompt: A New Approach To Prevent Prompt Injection Attacks Against Llm-integrated Applications (2024) • 2024 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND MECHATRONICS (ICCSM 2024) • 16 citations
  Xuchen Suo
• Unified Language-driven Zero-shot Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
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• When Large Language Model Agents Meet 6G Networks: Perception, Grounding, And Alignment (2024) • IEEE Wireless Communications • 58 citations
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• Reuse Your Rewards: Reward Model Transfer For Zero-shot Cross-lingual Alignment (2024) • No Venue
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• Thinking Llms: General Instruction Following With Thought Generation (2024) • No Venue
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• Fast Best-of-n Decoding Via Speculative Rejection (2024) • No Venue
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• Fuxitranyu: A Multilingual Large Language Model Trained With Balanced Data (2024) • No Venue
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• Evaluating And Aligning Codellms On Human Preference (2024) • No Venue
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• Judgebench: A Benchmark For Evaluating Llm-based Judges (2024) • No Venue
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• Self-play Preference Optimization For Language Model Alignment (2024) • No Venue
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• Idgenrec: Llm-recsys Alignment With Textual ID Learning (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 25 citations
  Tan et al.
• Meta-rewarding Language Models: Self-improving Alignment With Llm-as-a-meta-judge (2024) • No Venue
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• LOGO -- Long Context Alignment Via Efficient Preference Optimization (2024) • No Venue
  Tang et al.
• Risks Of AI Scientists: Prioritizing Safeguarding Over Autonomy (2024) • Nature Communications • 12 citations
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• Fedbiot: LLM Local Fine-tuning In Federated Learning Without Full Model (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 37 citations
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• Understanding The Performance Gap Between Online And Offline Alignment Algorithms (2024) • No Venue
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• GEB-1.3B: Open Lightweight Large Language Model (2024) • No Venue
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• Chameleon: Mixed-modal Early-fusion Foundation Models (2024) • No Venue
  Chameleon Team
• Jailbreaking As A Reward Misspecification Problem (2024) • No Venue
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• Eliminating Oversaturation And Artifacts Of High Guidance Scales In Diffusion Models (2024) • No Venue
  Seyedmorteza Sadat, Otmar Hilliges, Romann M. Weber
• The Butterfly Effect Of Altering Prompts: How Small Changes And Jailbreaks Affect Large Language Model Performance (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 22 citations
  Abel Salinas, Fred Morstatter
• Improving The Validity Of Automatically Generated Feedback Via Reinforcement Learning (2024) • Lecture Notes in Computer Science • 15 citations
  Scarlatos et al.
• Can AI Grade Your Essays? A Comparative Analysis Of Large Language Models And Teacher Ratings In Multidimensional Essay Scoring (2024) • LAK '25: The 15th International Learning Analytics and Knowledge Conference • 19 citations
  Seßler et al.
• Curriculum Recommendations Using Transformer Base Model With Infonce Loss And Language Switching Method (2024) • 2023 5th International Conference on Artificial Intelligence and Computer Applications (ICAICA) • 15 citations
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• Show, Don't Tell: Aligning Language Models With Demonstrated Feedback (2024) • No Venue
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• Who Validates The Validators? Aligning Llm-assisted Evaluation Of LLM Outputs With Human Preferences (2024) • UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology • 99 citations
  Shankar et al.
• Wirelessllm: Empowering Large Language Models Towards Wireless Intelligence (2024) • Journal of Communications and Information Networks • 55 citations
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• Aligning Large Language Models Via Self-steering Optimization (2024) • No Venue
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• Nemo-aligner: Scalable Toolkit For Efficient Model Alignment (2024) • No Venue
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• The Language Barrier: Dissecting Safety Challenges Of Llms In Multilingual Contexts (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Shen et al.
• Optimization-based Prompt Injection Attack To Llm-as-a-judge (2024) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 27 citations
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• Unisar: Modeling User Transition Behaviors Between Search And Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 12 citations
  Shi et al.
• Hivg: Hierarchical Multimodal Fine-grained Modulation For Visual Grounding (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 17 citations
  Xiao et al.
• Magpie: Alignment Data Synthesis From Scratch By Prompting Aligned Llms With Nothing (2024) • No Venue
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• Course-correction: Safety Alignment Using Synthetic Preferences (2024) • No Venue
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• UMBRAE: Unified Multimodal Brain Decoding (2024) • Lecture Notes in Computer Science • 10 citations
  Xia et al.
• Mmed-rag: Versatile Multimodal RAG System For Medical Vision Language Models (2024) • No Venue
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• Abusegpt: Abuse Of Generative AI Chatbots To Create Smishing Campaigns (2024) • 2024 12th International Symposium on Digital Forensics and Security (ISDFS) • 18 citations
  Ashfak Md Shibli, Mir Mehedi A. Pritom, Maanak Gupta
• MENTOR: Multi-level Self-supervised Learning For Multimodal Recommendation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Xu et al.
• PERL: Parameter Efficient Reinforcement Learning From Human Feedback (2024) • No Venue
  Sidahmed et al.
• TIP-I2V: A Million-scale Real Text And Image Prompt Dataset For Image-to-video Generation (2024) • No Venue
  Wenhao Wang, Yi Yang
• Openai O1 System Card (2024) • No Venue
  Openai et al.
• Saullm-54b & Saullm-141b: Scaling Up Domain Adaptation For The Legal Domain (2024) • No Venue
  Colombo et al.
• MAGID: An Automated Pipeline For Generating Synthetic Multi-modal Datasets (2024) • No Venue
  Aboutalebi et al.
• Alignment Studio: Aligning Large Language Models To Particular Contextual Regulations (2024) • No Venue
  Achintalwar et al.
• Back To Basics: Revisiting REINFORCE Style Optimization For Learning From Human Feedback In Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Ahmadian et al.
• Understanding Alignment In Multimodal Llms: A Comprehensive Study (2024) • No Venue
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• Response Tuning: Aligning Large Language Models Without Instruction (2024) • No Venue
  Seokhyun An, Hyounghun Kim
• PALP: Prompt Aligned Personalization Of Text-to-image Models (2024) • No Venue
  Arar et al.
• Scaling Up Video Summarization Pretraining With Large Language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Argaw et al.
• Toxicity Of The Commons: Curating Open-source Pre-training Data (2024) • No Venue
  Arnett et al.
• Llama Beyond English: An Empirical Study On Language Capability Transfer (2024) • No Venue
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• Mt-bench-101: A Fine-grained Benchmark For Evaluating Large Language Models In Multi-turn Dialogues (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 25 citations
  Bai et al.
• Longwriter: Unleashing 10,000+ Word Generation From Long Context Llms (2024) • No Venue
  Bai et al.
• Aligngpt: Multi-modal Large Language Models With Adaptive Alignment Capability (2024) • No Venue
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• Safeinfer: Context Adaptive Decoding Time Safety Alignment For Large Language Models (2024) • No Venue
  Banerjee et al.
• Weak-to-strong Jailbreaking On Large Language Models (2024) • No Venue
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• Universal Vulnerabilities In Large Language Models: Backdoor Attacks For In-context Learning (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Zhao et al.
• Cofinal: Enhancing Action Quality Assessment With Coarse-to-fine Instruction Alignment (2024) • Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24} • 12 citations
  Zhou et al.
• Leveraging Large Language Models With Chain-of-thought And Prompt Engineering For Traffic Crash Severity Analysis And Inference (2024) • Computers • 14 citations
  Zhen et al.
• Relying On The Unreliable: The Impact Of Language Models' Reluctance To Express Uncertainty (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Zhou et al.
• The Revolution Of Multimodal Large Language Models: A Survey (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 43 citations
  Caffagni et al.
• Llms Are Few-shot In-context Low-resource Language Learners (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
  Samuel Cahyawijaya, Holy Lovenia, Pascale Fung
• Disentangled Graph Variational Auto-encoder For Multimodal Recommendation With Interpretability (2024) • IEEE Transactions on Multimedia • 27 citations
  Xin Zhou, Chunyan Miao
• MADTP: Multimodal Alignment-guided Dynamic Token Pruning For Accelerating Vision-language Transformer (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Cao et al.
• Compassjudger-1: All-in-one Judge Model Helps Model Evaluation And Evolution (2024) • No Venue
  Cao et al.
• Seallms 3: Open Foundation And Chat Multilingual Large Language Models For Southeast Asian Languages (2024) • No Venue
  Zhang et al.
• Stealing Part Of A Production Language Model (2024) • No Venue
  Carlini et al.
• PERSONA: A Reproducible Testbed For Pluralistic Alignment (2024) • No Venue
  Castricato et al.
• Telecomgpt: A Framework To Build Telecom-specfic Large Language Models (2024) • IEEE Transactions on Machine Learning in Communications and Networking • 26 citations
  Zou et al.
• On The Robustness Of Language Guidance For Low-level Vision Tasks: Findings From Depth Estimation (2024) • No Venue
  Chatterjee et al.
• Agentpoison: Red-teaming LLM Agents Via Poisoning Memory Or Knowledge Bases (2024) • No Venue
  Chen et al.
• Cod, Towards An Interpretable Medical Agent Using Chain Of Diagnosis (2024) • No Venue
  Chen et al.
• Bootstrapping Language Models With DPO Implicit Rewards (2024) • No Venue
  Chen et al.
• Designing A Dashboard For Transparency And Control Of Conversational AI (2024) • No Venue
  Chen et al.
• Mj-bench: Is Your Multimodal Reward Model Really A Good Judge For Text-to-image Generation? (2024) • No Venue
  Chen et al.
• Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/multi-modal Jailbreak Attacks? (2024) • No Venue
  Chen et al.
• Safe Unlearning: A Surprisingly Effective And Generalizable Solution To Defend Against Jailbreak Attacks (2024) • No Venue
  Zhang et al.
• Self-exploring Language Models: Active Preference Elicitation For Online Alignment (2024) • No Venue
  Zhang et al.
• Learning Multi-dimensional Human Preference For Text-to-image Generation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Zhang et al.
• IOPO: Empowering Llms With Complex Instruction Following Via Input-output Preference Optimization (2024) • No Venue
  Zhang et al.
• GRAPE: Generalizing Robot Policy Via Preference Alignment (2024) • No Venue
  Zhang et al.
• Graphtranslator: Aligning Graph Model To Large Language Model For Open-ended Tasks (2024) • WWW '24: The ACM Web Conference 2024 • 35 citations
  Zhang et al.
• Controllable Safety Alignment: Inference-time Adaptation To Diverse Safety Requirements (2024) • No Venue
  Zhang et al.
• Direct Preference Optimization Of Video Large Multimodal Models From Language Model Reward (2024) • No Venue
  Zhang et al.
• Autodetect: Towards A Unified Framework For Automated Weakness Detection In Large Language Models (2024) • No Venue
  Cheng et al.
• Benchmarking Trustworthiness Of Multimodal Large Language Models: A Comprehensive Study (2024) • No Venue
  Zhang et al.
• Agent-safetybench: Evaluating The Safety Of LLM Agents (2024) • No Venue
  Zhang et al.
• Chatbot Arena: An Open Platform For Evaluating Llms By Human Preference (2024) • No Venue
  Chiang et al.
• Cross-aware Early Fusion With Stage-divided Vision And Language Transformer Encoders For Referring Image Segmentation (2024) • IEEE Transactions on Multimedia • 26 citations
  Yubin Cho, Hyunwoo Yu, Suk-Ju Kang
• A Flexible Large Language Models Guardrail Development Methodology Applied To Off-topic Prompt Detection (2024) • No Venue
  Gabriel Chua, Shing Yee Chan, Shaun Khoo
• Med42-v2: A Suite Of Clinical Llms (2024) • No Venue
  Christophe et al.
• Sambalingo: Teaching Large Language Models New Languages (2024) • No Venue
  Csaki et al.
• Curriculum Point Prompting For Weakly-supervised Referring Image Segmentation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Qiyuan Dai, Sibei Yang
• Security And Privacy Challenges Of Large Language Models: A Survey (2024) • ACM Computing Surveys • 147 citations
  Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
• Self-recognition In Language Models (2024) • No Venue
  Davidson et al.
• Cfairllm: Consumer Fairness Evaluation In Large-language Model Recommender System (2024) • ACM Transactions on Intelligent Systems and Technology • 15 citations
  Yashar Deldjoo, Tommaso di Noia
• Multimodal Whole Slide Foundation Model For Pathology (2024) • Arxiv • 23 citations
  Ding et al.
• Toward General Instruction-following Alignment For Retrieval-augmented Generation (2024) • No Venue
  Dong et al.
• Self-boosting Large Language Models With Synthetic Preference Data (2024) • No Venue
  Dong et al.
• Understand What LLM Needs: Dual Preference Alignment For Retrieval-augmented Generation (2024) • WWW '25: The ACM Web Conference 2025 • 16 citations
  Dong et al.
• Chinese Tiny LLM: Pretraining A Chinese-centric Large Language Model (2024) • No Venue
  Du et al.
• The Llama 3 Herd Of Models (2024) • No Venue
  Dubey et al.
• RAID: A Shared Benchmark For Robust Evaluation Of Machine-generated Text Detectors (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Dugan et al.
• Reformatted Alignment (2024) • No Venue
  Fan et al.
• E2 TTS: Embarrassingly Easy Fully Non-autoregressive Zero-shot TTS (2024) • No Venue
  Eskimez et al.
• ESALE: Enhancing Code-summary Alignment Learning For Source Code Summarization (2024) • IEEE Transactions on Software Engineering • 14 citations
  Fang et al.
• Enhancing Video-language Representations With Structural Spatio-temporal Alignment (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 30 citations
  Fei et al.
• Style Over Substance: Failure Modes Of LLM Judges In Alignment Benchmarking (2024) • No Venue
  Feuer et al.
• Vision-language Consistency Guided Multi-modal Prompt Learning For Blind AI Generated Image Quality Assessment (2024) • IEEE Signal Processing Letters • 21 citations
  Fu et al.
• Aligning Diffusion Models With Noise-conditioned Perception (2024) • No Venue
  Gambashidze et al.
• Lcm-lookahead For Encoder-based Text-to-image Personalization (2024) • Lecture Notes in Computer Science • 15 citations
  Gal et al.
• Erasing Conceptual Knowledge From Language Models (2024) • No Venue
  Gandikota et al.
• Consistent Prompting For Rehearsal-free Continual Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Zhanxin Gao, Jun Cen, Xiaobin Chang
• Towards A Unified View Of Preference Learning For Large Language Models: A Survey (2024) • No Venue
  Gao et al.
• Skyeyegpt: Unifying Remote Sensing Vision-language Tasks Via Instruction Tuning With Large Language Model (2024) • ISPRS Journal of Photogrammetry and Remote Sensing • 68 citations
  Yang Zhan, Zhitong Xiong, Yuan Yuan
• Coercing Llms To Do And Reveal (almost) Anything (2024) • No Venue
  Geiping et al.
• Patchscope: A Unifying Framework For Inspecting Hidden Representations Of Language Models (2024) • No Venue
  Ghandeharioun et al.
• Medm2g: Unifying Medical Multi-modal Generation Via Cross-guided Diffusion With Visual Invariant (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Zhan et al.
• Is Preference Alignment Always The Best Option To Enhance Llm-based Translation? An Empirical Analysis (2024) • No Venue
  Gisserot-Boukhlef et al.
• Chatglm: A Family Of Large Language Models From GLM-130B To GLM-4 All Tools (2024) • No Venue
  Glm et al.
• COA-GPT: Generative Pre-trained Transformers For Accelerated Course Of Action Development In Military Operations (2024) • 2024 International Conference on Military Communication and Information Systems (ICMCIS) • 17 citations
  Vinicius G. Goecks, Nicholas Waytowich
• Injecagent: Benchmarking Indirect Prompt Injections In Tool-integrated Large Language Model Agents (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 22 citations
  Zhan et al.
• Llms Are Good Sign Language Translators (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 42 citations
  Gong et al.
• Learn Your Reference Model For Real Good Alignment (2024) • No Venue
  Gorbatovski et al.
• Eyes Closed, Safety On: Protecting Multimodal Llms Via Image-to-text Transformation (2024) • Lecture Notes in Computer Science • 10 citations
  Gou et al.
• The Sociolinguistic Foundations Of Language Modeling (2024) • Frontiers in Artificial Intelligence • 18 citations
  Grieve et al.
• Alignment Faking In Large Language Models (2024) • No Venue
  Greenblatt et al.
• Is Your LLM Secretly A World Model Of The Internet? Model-based Planning For Web Agents (2024) • No Venue
  Gu et al.
• Deliberative Alignment: Reasoning Enables Safer Language Models (2024) • SuperIntelligence - Robotics - Safety & Alignment • 11 citations
  Guan et al.
• Direct Language Model Alignment From Online AI Feedback (2024) • No Venue
  Guo et al.
• Initno: Boosting Text-to-image Diffusion Models Via Initial Noise Optimization (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Guo et al.
• Vision Superalignment: Weak-to-strong Generalization For Vision Foundation Models (2024) • No Venue
  Guo et al.
• Walledeval: A Comprehensive Safety Evaluation Toolkit For Large Language Models (2024) • No Venue
  Gupta et al.
• Phi-3 Safety Post-training: Aligning Language Models With A "break-fix" Cycle (2024) • No Venue
  Haider et al.
• Mapping The Ethics Of Generative AI: A Comprehensive Scoping Review (2024) • Minds and Machines • 65 citations
  Thilo Hagendorff
• REPOEXEC: Evaluate Code Generation With A Repository-level Executable Benchmark (2024) • No Venue
  Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui
• Shieldgemma: Generative AI Content Moderation Based On Gemma (2024) • No Venue
  Zeng et al.
• Model Merging And Safety Alignment: One Bad Model Spoils The Bunch (2024) • No Venue
  Hammoud et al.
• Safety Arithmetic: A Framework For Test-time Safety Alignment Of Language Models By Steering Parameters And Activations (2024) • No Venue
  Hazra et al.
• WALL-E: World Alignment By Rule Learning Improves World Model-based LLM Agents (2024) • No Venue
  Zhou et al.
• Margin-aware Preference Optimization For Aligning Diffusion Models Without Reference (2024) • No Venue
  Hong et al.
• ORPO: Monolithic Preference Optimization Without Reference Model (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 54 citations
  Jiwoo Hong, Noah Lee, James Thorne
• Let Me Do It For You: Towards LLM Empowered Recommendation Via Tool Learning (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 26 citations
  Zhao et al.
• Training Language Models On The Knowledge Graph: Insights On Hallucinations And Their Detectability (2024) • No Venue
  Hron et al.
• Omnimedvqa: A New Large-scale Comprehensive Evaluation Benchmark For Medical LVLM (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Hu et al.
• Openrlhf: An Easy-to-use, Scalable And High-performance RLHF Framework (2024) • No Venue
  Hu et al.
• Vlsbench: Unveiling Visual Leakage In Multimodal Safety (2024) • No Venue
  Hu et al.
• Vbench++: Comprehensive And Versatile Benchmark Suite For Video Generative Models (2024) • No Venue
  Huang et al.
• Advancing LLM Reasoning Generalists With Preference Trees (2024) • No Venue
  Yuan et al.
• Pleak: Prompt Leaking Attacks Against Large Language Model Applications (2024) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 26 citations
  Hui et al.
• Open-endedness Is Essential For Artificial Superhuman Intelligence (2024) • No Venue
  Hughes et al.
• Reward Steering With Evolutionary Heuristics For Decoding-time Alignment (2024) • No Venue
  Hung et al.
• Modulated Intervention Preference Optimization (MIPO): Keep The Easy, Refine The Difficult (2024) • No Venue
  Cheolhun Jang
• Astraios: Parameter-efficient Instruction Tuning Code Large Language Models (2024) • No Venue
  Zhuo et al.
• Symdpo: Boosting In-context Learning Of Large Multimodal Models With Symbol Demonstration Direct Preference Optimization (2024) • No Venue
  Jia et al.
• SPARK: Multi-vision Sensor Perception And Reasoning Benchmark For Large-scale Vision-language Models (2024) • No Venue
  Yu et al.
• Artprompt: ASCII Art-based Jailbreak Attacks Against Aligned Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Jiang et al.
• Comat: Aligning Text-to-image Diffusion Model With Image-to-text Concept Matching (2024) • No Venue
  Jiang et al.
• Med-moe: Mixture Of Domain-specific Experts For Lightweight Medical Vision-language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 27 citations
  Jiang et al.
• Wildteaming At Scale: From In-the-wild Jailbreaks To (adversarially) Safer Language Models (2024) • No Venue
  Jiang et al.
• Unlocking The Power Of Large Language Models For Entity Alignment (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Jiang et al.
• A Comprehensive Evaluation Of Quantization Strategies For Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 27 citations
  Jin et al.
• Dinov2 Meets Text: A Unified Framework For Image- And Pixel-level Vision-language Alignment (2024) • 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Jose et al.
• On The Societal Impact Of Open Foundation Models (2024) • No Venue
  Kapoor et al.
• Selfcodealign: Self-alignment For Code Generation (2024) • No Venue
  Wei et al.
• Indicllmsuite: A Blueprint For Creating Pre-training And Fine-tuning Datasets For Indian Languages (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Khan et al.
• Free^2guide: Gradient-free Path Integral Control For Enhancing Text-to-video Generation With Large Vision-language Models (2024) • No Venue
  Jaemin Kim, Bryan S Kim, Jong Chul Ye
• Sdpo: Don't Use Your Data All At Once (2024) • No Venue
  Kim et al.
• A Superalignment Framework In Autonomous Driving With Large Language Models (2024) • 2024 IEEE Intelligent Vehicle Symposium (IV) • 10 citations
  Kong et al.
• Gallop: Learning Global And Local Prompts For Vision-language Models (2024) • Lecture Notes in Computer Science • 19 citations
  Lafon et al.
• Direct Preference Optimization Using Sparse Feature-level Constraints (2024) • No Venue
  Yin et al.
• Revisit Large-scale Image-caption Data In Pre-training Multimodal Foundation Models (2024) • No Venue
  Lai et al.
• Rewardbench: Evaluating Reward Models For Language Modeling (2024) • No Venue
  Lambert et al.
• Tip-editor: An Accurate 3D Editor Following Both Text-prompts And Image-prompts (2024) • No Venue
  Zhuang et al.
• Do Llms Have Political Correctness? Analyzing Ethical Biases And Jailbreak Vulnerabilities In AI Systems (2024) • No Venue
  Isack Lee, Haebin Seong
• Intriguing Properties Of Large Language And Vision Models (2024) • No Venue
  Lee et al.
• Multimodal Large Language Models For Phishing Webpage Detection And Identification (2024) • 2024 APWG Symposium on Electronic Crime Research (eCrime) • 13 citations
  Lee et al.
• Better Alignment With Instruction Back-and-forth Translation (2024) • No Venue
  Nguyen et al.
• 3DMIT: 3D Multi-modal Instruction Tuning For Scene Understanding (2024) • 2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) • 22 citations
  Li et al.
• Cosmicman: A Text-to-image Foundation Model For Humans (2024) • No Venue
  Li et al.
• Aligning Diffusion Models By Optimizing Human Utility (2024) • No Venue
  Li et al.
• Drattack: Prompt Decomposition And Reconstruction Makes Powerful LLM Jailbreakers (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 10 citations
  Li et al.
• Images Are Achilles' Heel Of Alignment: Exploiting Visual Vulnerabilities For Jailbreaking Multimodal Large Language Models (2024) • Lecture Notes in Computer Science • 14 citations
  Li et al.
• Red Teaming Visual Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 15 citations
  Li et al.
• One Prompt Word Is Enough To Boost Adversarial Robustness For Pre-trained Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Li et al.
• Playground V2.5: Three Insights Towards Enhancing Aesthetic Quality In Text-to-image Generation (2024) • No Venue
  Li et al.
• Rewriting The Code: A Simple Method For Large Language Model Augmented Code Search (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Haochen Li, Xin Zhou, Zhiqi Shen
• Uni-moe: Scaling Unified Multimodal Llms With Mixture Of Experts (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 22 citations
  Li et al.
• What If We Recaption Billions Of Web Images With Llama-3? (2024) • No Venue
  Li et al.
• How Interpretable Are Reasoning Explanations From Prompting Large Language Models? (2024) • Findings of the Association for Computational Linguistics: NAACL 2024 • 12 citations
  Yeo et al.
• Openfedllm: Training Large Language Models On Decentralized Private Data Via Federated Learning (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 63 citations
  Ye et al.
• Dreamreward: Text-to-3d Generation With Human Preference (2024) • No Venue
  Ye et al.
• LLM Voting: Human Choices And AI Collective Decision Making (2024) • Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society • 25 citations
  Yang et al.
• KAG: Boosting Llms In Professional Domains Via Knowledge Augmented Generation (2024) • WWW '25: The ACM Web Conference 2025 • 23 citations
  Liang et al.
• I-SHEEP: Self-alignment Of LLM From Scratch Through An Iterative Self-enhancement Paradigm (2024) • No Venue
  Liang et al.
• Preference Tuning With Human Feedback On Language, Speech, And Vision Tasks: A Survey (2024) • No Venue
  Winata et al.
• Gemma Scope: Open Sparse Autoencoders Everywhere All At Once On Gemma 2 (2024) • No Venue
  Lieberum et al.
• Baichuan Alignment Technical Report (2024) • No Venue
  Lin et al.
• FLAME: Factuality-aware Alignment For Large Language Models (2024) • No Venue
  Lin et al.
• Critical Tokens Matter: Token-level Contrastive Estimation Enhence Llm's Reasoning Capability (2024) • No Venue
  Lin et al.
• Correctable Landmark Discovery Via Large Models For Vision-language Navigation (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 11 citations
  Lin et al.
• Evaluating Text-to-visual Generation With Image-to-text Generation (2024) • Lecture Notes in Computer Science • 52 citations
  Lin et al.
• GUME: Graphs And User Modalities Enhancement For Long-tail Multimodal Recommendation (2024) • Proceedings of the 33rd ACM International Conference on Information and Knowledge Management • 14 citations
  Lin et al.
• A Survey Of Attacks On Large Vision-language Models: Resources, Advances, And Future Trends (2024) • IEEE Transactions on Neural Networks and Learning Systems • 15 citations
  Liu et al.
• Improving Long-text Alignment For Text-to-image Diffusion Models (2024) • No Venue
  Liu et al.
• Lipo: Listwise Preference Optimization Through Learning-to-rank (2024) • No Venue
  Liu et al.
• LLM4GEN: Leveraging Semantic Representation Of Llms For Text-to-image Generation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Liu et al.
• Multi-modal Attribute Prompting For Vision-language Models (2024) • IEEE Transactions on Circuits and Systems for Video Technology • 15 citations
  Liu et al.
• Sample-efficient Alignment For Llms (2024) • No Venue
  Liu et al.
• Rm-bench: Benchmarking Reward Models Of Language Models With Subtlety And Style (2024) • No Venue
  Liu et al.
• Timecma: Towards Llm-empowered Multivariate Time Series Forecasting Via Cross-modality Alignment (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 31 citations
  Liu et al.
• Auffusion: Leveraging The Power Of Diffusion And Large Language Models For Text-to-audio Generation (2024) • IEEE/ACM Transactions on Audio, Speech, and Language Processing • 23 citations
  Xue et al.
• Unveiling Scoring Processes: Dissecting The Differences Between Llms And Human Graders In Automatic Scoring (2024) • Technology, Knowledge and Learning • 15 citations
  Wu et al.
• Behavior Alignment: A New Perspective Of Evaluating Llm-based Conversational Recommender Systems (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 15 citations
  Dayu Yang, Fumian Chen, Hui Fang
• Step-controlled DPO: Leveraging Stepwise Error For Enhanced Mathematical Reasoning (2024) • No Venue
  Lu et al.
• PLACE: Adaptive Layout-semantic Fusion For Semantic Image Synthesis (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Lv et al.
• Adapting While Learning: Grounding Llms For Scientific Problems With Intelligent Tool Usage Adaptation (2024) • No Venue
  Lyu et al.
• Exploring The Role Of Large Language Models In Prompt Encoding For Diffusion Models (2024) • No Venue
  Ma et al.
• TOFU: A Task Of Fictitious Unlearning For Llms (2024) • No Venue
  Maini et al.
• Sycophancy In Large Language Models: Causes And Mitigations (2024) • Lecture Notes in Networks and Systems • 13 citations
  Lars Malmqvist
• Tavgbench: Benchmarking Text To Audible-video Generation (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 10 citations
  Mao et al.
• Test-driven Development For Code Generation (2024) • ASE '24: 39th IEEE/ACM International Conference on Automated Software Engineering • 11 citations
  Noble Saji Mathews, Meiyappan Nagappan
• Hybrid Preferences: Learning To Route Instances For Human Vs. AI Feedback (2024) • No Venue
  Miranda et al.
• A Robot Walks Into A Bar: Can Language Models Serve As Creativity Support Tools For Comedy? An Evaluation Of Llms' Humour Alignment With Comedians (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 27 citations
  Mirowski et al.
• Contextual Feature Extraction Hierarchies Converge In Large Language Models And The Brain (2024) • Nature Machine Intelligence • 25 citations
  Mischler et al.
• Dynamic Prompt Optimizing For Text-to-image Generation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Mo et al.
• Augmented Commonsense Knowledge For Remote Object Grounding (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Mohammadi et al.
• White-box Multimodal Jailbreaks Against Large Vision-language Models (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 10 citations
  Wang et al.
• Lhrs-bot: Empowering Remote Sensing With Vgi-enhanced Large Multimodal Language Model (2024) • Lecture Notes in Computer Science • 40 citations
  Muhtar et al.
• Transforming And Combining Rewards For Aligning Large Language Models (2024) • No Venue
  Wang et al.
• Aurora-m: The First Open Source Multilingual Language Model Red-teamed According To The U.S. Executive Order (2024) • No Venue
  Nakamura et al.
• Generating Valid And Natural Adversarial Examples With Large Language Models (2023) • 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) • 14 citations
  Wang et al.
• Exploring Vision-language Models For Imbalanced Learning (2023) • International Journal of Computer Vision • 24 citations
  Wang et al.
• Exploiting The Textual Potential From Vision-language Pre-training For Text-based Person Search (2023) • Arxiv • 13 citations
  Wang et al.
• A Simple Recipe For Contrastively Pre-training Video-first Encoders Beyond 16 Frames (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Papalampidi et al.
• FLIP: Fine-grained Alignment Between Id-based Models And Pretrained Language Models For CTR Prediction (2023) • RecSys '24: 18th ACM Conference on Recommender Systems • 10 citations
  Wang et al.
• Too Large; Data Reduction For Vision-language Pre-training (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 12 citations
  Wang et al.
• Swap Attention In Spatiotemporal Diffusions For Text-to-video Generation (2023) • Arxiv • 18 citations
  Wang et al.
• Retrieving-to-answer: Zero-shot Video Question Answering With Frozen Large Language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 17 citations
  Pan et al.
• Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 69 citations
  Xu et al.
• Black Box Few-shot Adaptation For Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 27 citations
  Ouali et al.
• "i'm Fully Who I Am": Towards Centering Transgender And Non-binary Voices To Measure Biases In Open Language Generation (2023) • FAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency • 28 citations
  Ovalle et al.
• GPT-4 Technical Report (2023) • Arxiv • 2169 citations
  Openai et al.
• Graphgpt: Graph Instruction Tuning For Large Language Models (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 115 citations
  Tang et al.
• Exploring The Psychology Of Llms' Moral And Legal Reasoning (2023) • Artificial Intelligence • 44 citations
  Almeida et al.
• Docformerv2: Local Features For Document Understanding (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 36 citations
  Appalaraju et al.
• 3d-vista: Pre-trained Transformer For 3D Vision And Text Alignment (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 86 citations
  Zhu et al.
• Hiervl: Learning Hierarchical Video-language Embeddings (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Ashutosh et al.
• Instruction-tuning Aligns Llms To The Human Brain (2023) • No Venue
  Aw et al.
• Make-an-animation: Large-scale Text-conditional 3D Human Motion Generation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 35 citations
  Azadi et al.
• Qwen Technical Report (2023) • No Venue
  Bai et al.
• Prompt-based Distribution Alignment For Unsupervised Domain Adaptation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 44 citations
  Bai et al.
• Seallms -- Large Language Models For Southeast Asia (2023) • No Venue
  Nguyen et al.
• R2gengpt: Radiology Report Generation With Frozen Llms (2023) • Meta-Radiology • 113 citations
  Wang et al.
• SILC: Improving Vision Language Pretraining With Self-distillation (2023) • Lecture Notes in Computer Science • 16 citations
  Naeem et al.
• Testing Language Model Agents Safely In The Wild (2023) • No Venue
  Naihin et al.
• Emotional Intelligence Of Large Language Models (2023) • Journal of Pacific Rim Psychology • 83 citations
  Wang et al.
• Decodingtrust: A Comprehensive Assessment Of Trustworthiness In GPT Models (2023) • No Venue
  Wang et al.
• Cross-modal Contrastive Learning For Multimodal Fake News Detection (2023) • MM '23: The 31st ACM International Conference on Multimedia • 67 citations
  Wang et al.
• Bootstrapping Interactive Image-text Alignment For Remote Sensing Image Captioning (2023) • IEEE Transactions on Geoscience and Remote Sensing • 50 citations
  Cong Yang, Zuchao Li, Lefei Zhang
• Caption Anything: Interactive Image Description With Diverse Multimodal Controls (2023) • Arxiv • 19 citations
  Wang et al.
• Alignment For Honesty (2023) • No Venue
  Yang et al.
• SILO Language Models: Isolating Legal Risk In A Nonparametric Datastore (2023) • No Venue
  Min et al.
• Large Language Model Based Long-tail Query Rewriting In Taobao Search (2023) • WWW '24: The ACM Web Conference 2024 • 37 citations
  Peng et al.
• An Emulator For Fine-tuning Large Language Models Using Small Language Models (2023) • No Venue
  Mitchell et al.
• Mcl-ner: Cross-lingual Named Entity Recognition Via Multi-view Contrastive Learning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 27 citations
  Mo et al.
• Verbs In Action: Improving Verb Understanding In Video-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 41 citations
  Momeni et al.
• Levels Of AGI For Operationalizing Progress On The Path To AGI (2023) • No Venue
  Morris et al.
• Can Llms Follow Simple Rules? (2023) • No Venue
  Mu et al.
• Controlled Decoding From Language Models (2023) • No Venue
  Mudgal et al.
• RLCD: Reinforcement Learning From Contrast Distillation For Language Model Alignment (2023) • No Venue
  Yang et al.
• Jailbroken: How Does LLM Safety Training Fail? (2023) • No Venue
  Alexander Wei, Nika Haghtalab, Jacob Steinhardt
• Dietary Assessment With Multimodal Chatgpt: A Systematic Analysis (2023) • IEEE Journal of Biomedical and Health Informatics • 34 citations
  Lo et al.
• Aligning Text-to-image Diffusion Models With Reward Backpropagation (2023) • No Venue
  Prabhudesai et al.
• Set-level Guidance Attack: Boosting Adversarial Transferability Of Vision-language Pre-training Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 44 citations
  Lu et al.
• LARP: Language-agent Role Play For Open-world Games (2023) • No Venue
  Yan et al.
• Zero-shot Video Moment Retrieval From Frozen Vision-language Models (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 13 citations
  Luo et al.
• Jatmo: Prompt Injection Defense By Task-specific Finetuning (2023) • Lecture Notes in Computer Science • 25 citations
  Piet et al.
• Sneakyprompt: Jailbreaking Text-to-image Generative Models (2023) • 2024 IEEE Symposium on Security and Privacy (SP) • 36 citations
  Yang et al.
• Backdooring Instruction-tuned Large Language Models With Virtual Prompt Injection (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 30 citations
  Yan et al.
• Sieve: Multimodal Dataset Pruning Using Image Captioning Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Mahmoud et al.
• LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings With Knowledge Distillation (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 10 citations
  Zhuoyuan Mao, Tetsuji Nakagawa
• Learning To Ground Instructional Articles In Videos Through Narrations (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani
• From Google Gemini To Openai Q* (q-star): A Survey Of Reshaping The Generative Artificial Intelligence (AI) Research Landscape (2023) • Technologies • 15 citations
  McIntosh et al.
• FLIRT: Feedback Loop In-context Red Teaming (2023) • No Venue
  Mehrabi et al.
• Generating Phishing Attacks Using Chatgpt (2023) • Arxiv • 21 citations
  Sayak Saha Roy, Krishna Vamsi Naragam, Shirin Nilizadeh
• Towards Fast And Accurate Image-text Retrieval With Self-supervised Fine-grained Alignment (2023) • IEEE Transactions on Multimedia • 17 citations
  Zhuang et al.
• Evallm: Interactive Evaluation Of Large Language Model Prompts On User-defined Criteria (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 48 citations
  Kim et al.
• LLM4SGG: Large Language Models For Weakly Supervised Scene Graph Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Kim et al.
• Transduce And Speak: Neural Transducer For Text-to-speech With Semantic Token Prediction (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 10 citations
  Kim et al.
• Detclipv2: Scalable Open-vocabulary Object Detection Pre-training Via Word-region Alignment (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 56 citations
  Yao et al.
• Performance Of The Pre-trained Large Language Model GPT-4 On Automated Short Answer Grading (2023) • Discover Artificial Intelligence • 31 citations
  Gerd Kortemeyer
• Robots That Ask For Help: Uncertainty Alignment For Large Language Model Planners (2023) • No Venue
  Ren et al.
• Longeval: Guidelines For Human Evaluation Of Faithfulness In Long-form Summarization (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 24 citations
  Krishna et al.
• Longform: Effective Instruction Tuning With Reverse Instructions (2023) • Arxiv • 11 citations
  Köksal et al.
• Veclip: Improving CLIP Training Via Visual-enriched Captions (2023) • Lecture Notes in Computer Science • 11 citations
  Lai et al.
• Exploring Better Text Image Translation With Multimodal Codebook (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Lan et al.
• Open Sesame! Universal Black Box Jailbreaking Of Large Language Models (2023) • Applied Sciences • 37 citations
  Raz Lapid, Ron Langberg, Moshe Sipper
• Mmap : Multi-modal Alignment Prompt For Cross-domain Multi-task Learning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 51 citations
  Xin et al.
• Aligning Text-to-image Models Using Human Feedback (2023) • Arxiv • 34 citations
  Lee et al.
• Exploiting Diffusion Prior For Generalizable Dense Prediction (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Lee et al.
• Holistic Evaluation Of Text-to-image Models (2023) • No Venue
  Lee et al.
• Ethical Reasoning Over Moral Alignment: A Case And Framework For In-context Ethical Policies In Llms (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 15 citations
  Rao et al.
• Do Gpts Produce Less Literal Translations? (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 10 citations
  Raunak et al.
• Recexplainer: Aligning Large Language Models For Explaining Recommendation Models (2023) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 14 citations
  Lei et al.
• Linguistic Binding In Diffusion Models: Enhancing Attribute Correspondence Through Attention Map Alignment (2023) • Arxiv • 11 citations
  Rassin et al.
• Lora Fine-tuning Efficiently Undoes Safety Training In Llama 2-chat 70B (2023) • No Venue
  Simon Lermen, Charlie Rogers-Smith, Jeffrey Ladish
• Eliciting The Translation Ability Of Large Language Models Via Multilingual Finetuning With Translation Instructions (2023) • Transactions of the Association for Computational Linguistics • 27 citations
  Li et al.
• Distilling Large Vision-language Model With Out-of-distribution Generalizability (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 22 citations
  Li et al.
• M\(^3\)IT: A Large-scale Dataset Towards Multi-modal Multilingual Instruction Tuning (2023) • Arxiv • 14 citations
  Li et al.
• Self-alignment With Instruction Backtranslation (2023) • No Venue
  Li et al.
• Unisa: Unified Generative Framework For Sentiment Analysis (2023) • MM '23: The 31st ACM International Conference on Multimedia • 13 citations
  Li et al.
• User Experience Design Professionals' Perceptions Of Generative Artificial Intelligence (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 80 citations
  Li et al.
• White-box Multi-objective Adversarial Attack On Dialogue Generation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Li et al.
• Layoutllm-t2i: Eliciting Layout Guidance From LLM For Text-to-image Generation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 67 citations
  Qu et al.
• AART: Ai-assisted Red-teaming With Diverse Data Generation For New Llm-powered Applications (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track • 13 citations
  Radharapu et al.
• Benchmarking And Defending Against Indirect Prompt Injection Attacks On Large Language Models (2023) • KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 16 citations
  Yi et al.
• FLASK: Fine-grained Language Model Evaluation Based On Alignment Skill Sets (2023) • No Venue
  Ye et al.
• Gpt-fathom: Benchmarking Large Language Models To Decipher The Evolutionary Path Towards GPT-4 And Beyond (2023) • No Venue
  Zheng et al.
• Altdiffusion: A Multilingual Text-to-image Diffusion Model (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 18 citations
  Ye et al.
• Cross-modality Data Augmentation For End-to-end Sign Language Translation (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  Ye et al.
• Diverse And Aligned Audio-to-video Generation Via Text-to-video Model Adaptation (2023) • No Venue
  Yariv et al.
• What You See Is What You Read? Improving Text-image Alignment Evaluation (2023) • Arxiv • 14 citations
  Yarom et al.
• Rich Human Feedback For Text-to-image Generation (2023) • No Venue
  Liang et al.
• Examining Inter-consistency Of Large Language Models Collaboration: An In-depth Analysis Via Debate (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 24 citations
  Xiong et al.
• Designbench: Exploring And Benchmarking DALL-E 3 For Imagining Visual Design (2023) • No Venue
  Lin et al.
• Mitigating The Alignment Tax Of RLHF (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Lin et al.
• Towards Healthy AI: Large Language Models Need Therapists Too (2023) • Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024) • 11 citations
  Lin et al.
• The Unlocking Spell On Base Llms: Rethinking Alignment Via In-context Learning (2023) • No Venue
  Lin et al.
• The Generative AI Paradox: "what It Can Create, It May Not Understand" (2023) • No Venue
  West et al.
• G-eval: NLG Evaluation Using GPT-4 With Better Human Alignment (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 441 citations
  Liu et al.
• Calibrating Llm-based Evaluator (2023) • No Venue
  Liu et al.
• Human-centered NLP Fact-checking: Co-designing With Fact-checkers Using Matchmaking For AI (2023) • Proceedings of the ACM on Human-Computer Interaction • 13 citations
  Liu et al.
• Improving Cross-modal Alignment With Synthetic Pairs For Text-only Image Captioning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Zhiyue Liu, Jinyuan Liu, Fanrong Ma
• Jailbreaking Chatgpt Via Prompt Engineering: An Empirical Study (2023) • Arxiv • 100 citations
  Liu et al.
• Statistical Rejection Sampling Improves Preference Optimization (2023) • No Venue
  Liu et al.
• Vgdiffzero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Liu et al.
• Trustworthy Llms: A Survey And Guideline For Evaluating Large Language Models' Alignment (2023) • No Venue
  Liu et al.
• VALOR: Vision-audio-language Omni-perception Pretraining Model And Dataset (2023) • Arxiv • 17 citations
  Liu et al.
• Visual Adversarial Examples Jailbreak Aligned Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 81 citations
  Qi et al.
• Poet: A Generative Model Of Protein Families As Sequences-of-sequences (2023) • Advances in Neural Information Processing Systems (Vol. 36) 2023 • 26 citations
  Timothy F. Truong, Tristan Bepler
• Unleashing Text-to-image Diffusion Models For Visual Perception (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 132 citations
  Zhao et al.
• Trusted Source Alignment In Large Language Models (2023) • No Venue
  Bashlovkina et al.
• Clip-guided Stylegan Inversion For Text-driven Real Image Editing (2023) • ACM Transactions on Graphics • 17 citations
  Baykal et al.
• Jailbreaking Black Box Large Language Models In Twenty Queries (2023) • 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) • 45 citations
  Chao et al.
• Unifying Two-stream Encoders With Transformers For Cross-modal Retrieval (2023) • MM '23: The 31st ACM International Conference on Multimedia • 28 citations
  Bin et al.
• Align Your Latents: High-resolution Video Synthesis With Latent Diffusion Models (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 554 citations
  Blattmann et al.
• Grounding Everything: Emerging Localization Properties In Vision-language Transformers (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 30 citations
  Bousselham et al.
• Promptify: Text-to-image Generation Through Interactive Prompt Exploration With Large Language Models (2023) • UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology • 119 citations
  Brade et al.
• Weak-to-strong Generalization: Eliciting Strong Capabilities With Weak Supervision (2023) • No Venue
  Burns et al.
• Token-level Contrastive Learning With Modality-aware Prompting For Multimodal Intent Recognition (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Zhou et al.
• Aligning Large Multimodal Models With Factually Augmented RLHF (2023) • No Venue
  Sun et al.
• H2ogpt: Democratizing Large Language Models (2023) • No Venue
  Candel et al.
• Assessing Cross-cultural Alignment Between Chatgpt And Human Societies: An Empirical Study (2023) • Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP) • 110 citations
  Cao et al.
• Defending Against Alignment-breaking Attacks Via Robustly Aligned LLM (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 26 citations
  Cao et al.
• Re-mine, Learn And Reason: Exploring The Cross-modal Semantic Correlations For Language-guided HOI Detection (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 29 citations
  Cao et al.
• Are Aligned Neural Networks Adversarially Aligned? (2023) • Arxiv • 25 citations
  Carlini et al.
• Chatgpt To Replace Crowdsourcing Of Paraphrases For Intent Classification: Higher Diversity And Comparable Model Robustness (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Jan Cegin, Jakub Simko, Peter Brusilovsky
• Dialogue Chain-of-thought Distillation For Commonsense-aware Conversational Agents (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Chae et al.
• Composition-contrastive Learning For Sentence Embeddings (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Sachin J. Chanchani, Ruihong Huang
• LLM4TS: Aligning Pre-trained Llms As Data-efficient Time-series Forecasters (2023) • ACM Transactions on Intelligent Systems and Technology • 52 citations
  Chang et al.
• A Vector Quantized Approach For Text To Speech Synthesis On Real-world Spontaneous Speech (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 23 citations
  Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky
• Advancing Visual Grounding With Scene Knowledge: Benchmark And Method (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Chen et al.
• DRESS: Instructing Large Vision-language Models To Align And Interact With Humans Via Natural Language Feedback (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Chen et al.
• Large Knowledge Model: Perspectives And Challenges (2023) • Data Intelligence • 16 citations
  Huajun Chen
• Revisiting Multimodal Representation In Contrastive Learning: From Patch And Token Embeddings To Finite Discrete Tokens (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 27 citations
  Chen et al.
• Unleashing The Potential Of Prompt Engineering For Large Language Models (2023) • Patterns • 123 citations
  Chen et al.
• Subject-driven Text-to-image Generation Via Apprenticeship Learning (2023) • Arxiv • 46 citations
  Chen et al.
• Sharegpt4v: Improving Large Multi-modal Models With Better Captions (2023) • Lecture Notes in Computer Science • 162 citations
  Chen et al.
• Tailored Visions: Enhancing Text-to-image Generation With Personalized Prompt Rewriting (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Chen et al.
• Probvlm: Probabilistic Adapter For Frozen Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 15 citations
  Upadhyay et al.
• Diffusion Model Alignment Using Direct Preference Optimization (2023) • No Venue
  Wallace et al.
• Adapting Large Language Models By Integrating Collaborative Semantics For Recommendation (2023) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 66 citations
  Zheng et al.
• Integrating Generative Artificial Intelligence In Intelligent Vehicle Systems (2023) • 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) • 21 citations
  Stappen et al.
• Evaluation Metrics In The Era Of GPT-4: Reliably Evaluating Large Language Models On Sequence To Sequence Tasks (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Sottana et al.
• Reasons To Reject? Aligning Language Models With Judgments (2023) • No Venue
  Xu et al.
• Preference Ranking Optimization For Human Alignment (2023) • Arxiv • 12 citations
  Song et al.
• Visual Attention Prompted Prediction And Learning (2023) • Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24} • 14 citations
  Zhang et al.
• Black-box Prompt Optimization: Aligning Large Language Models Without Model Training (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Cheng et al.
• PRIOR: Prototype Representation Joint Learning From Medical Images And Reports (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 53 citations
  Cheng et al.
• Pneumollm: Harnessing The Power Of Large Language Model For Pneumoconiosis Diagnosis (2023) • Medical Image Analysis • 21 citations
  Song et al.
• How To Bridge The Gap Between Modalities: Survey On Multimodal Large Language Model (2023) • IEEE Transactions on Knowledge and Data Engineering • 13 citations
  Song et al.
• BAGM: A Backdoor Attack For Manipulating Text-to-image Generative Models (2023) • IEEE Transactions on Information Forensics and Security • 22 citations
  Vice et al.
• Can Large Language Models Be An Alternative To Human Evaluations? (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 179 citations
  Cheng-Han Chiang, Hung-Yi Lee
• Mask Grounding For Referring Image Segmentation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Chng et al.
• Distribution-aware Prompt Tuning For Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 31 citations
  Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim
• Apollo: Unified Adapter And Prompt Learning For Vision Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha
• Grounding Visual Illusions In Language: Do Vision-language Models Perceive Illusions Like Humans? (2023) • No Venue
  Zhang et al.
• Grounded Entity-landmark Adaptive Pre-training For Vision-and-language Navigation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 15 citations
  Cui et al.
• On The Robustness Of Large Multimodal Models Against Image Adversarial Attacks (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 29 citations
  Cui et al.
• Safe RLHF: Safe Reinforcement Learning From Human Feedback (2023) • No Venue
  Dai et al.
• On Generative Agents In Recommendation (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 57 citations
  Zhang et al.
• Multilingual Llms Are Better Cross-lingual In-context Learners With Alignment (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Tanwar et al.
• Can Chatgpt Defend Its Belief In Truth? Evaluating LLM Reasoning Via Debate (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Boshi Wang, Xiang Yue, Huan Sun
• Self-correcting Llm-controlled Diffusion Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Wu et al.
• Prompt-and-align: Prompt-based Social Alignment For Few-shot Fake News Detection (2023) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 20 citations
  Wu et al.
• Vadclip: Adapting Vision-language Models For Weakly Supervised Video Anomaly Detection (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 100 citations
  Wu et al.
• Attack Prompt Generation For Red Teaming And Defending Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Deng et al.
• Knowledgeable Preference Alignment For Llms In Domain-specific Question Answering (2023) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Zhang et al.
• Chain-of-verification Reduces Hallucination In Large Language Models (2023) • No Venue
  Dhuliawala et al.
• Anthropomorphization Of AI: Opportunities And Risks (2023) • Proceedings of the Natural Legal Language Processing Workshop 2023 • 30 citations
  Deshpande et al.
• Plug-and-play Regulators For Image-text Matching (2023) • IEEE Transactions on Image Processing • 35 citations
  Diao et al.
• Cultural Bias And Cultural Alignment Of Large Language Models (2023) • PNAS Nexus • 148 citations
  Tao et al.
• Large Language Model For Science: A Study On P Vs. NP (2023) • No Venue
  Dong et al.
• RAFT: Reward Ranked Finetuning For Generative Foundation Model Alignment (2023) • Arxiv • 27 citations
  Dong et al.
• RAH! Recsys-assistant-human: A Human-centered Recommendation Framework With LLM Agents (2023) • IEEE Transactions on Computational Social Systems • 26 citations
  Shu et al.
• Human Learning By Model Feedback: The Dynamics Of Iterative Prompting With Midjourney (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Shachar Don-Yehiya, Leshem Choshen, Omri Abend
• Diffusum: Generation Enhanced Extractive Summarization With Diffusion (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 26 citations
  Haopeng Zhang, Xiao Liu, Jiawei Zhang
• Dense And Aligned Captions (DAC) Promote Compositional Reasoning In VL Models (2023) • Arxiv • 12 citations
  Doveh et al.
• Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 18 citations
  Zhang et al.
• Contrasting Intra-modal And Ranking Cross-modal Hard Negatives To Enhance Visio-linguistic Compositional Understanding (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Le Zhang, Rabiul Awal, Aishwarya Agrawal
• Tinyclip: CLIP Distillation Via Affinity Mimicking And Weight Inheritance (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 45 citations
  Wu et al.
• Llms As Workers In Human-computational Algorithms? Replicating Crowdsourcing Pipelines With Llms (2023) • No Venue
  Wu et al.
• A Simple Recipe For Language-guided Domain Generalized Segmentation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Fahes et al.
• Can Large Language Models Serve As Rational Players In Game Theory? A Systematic Analysis (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 24 citations
  Fan et al.
• Domain-agnostic Molecular Generation With Chemical Feedback (2023) • Arxiv • 17 citations
  Fang et al.
• CLIM: Contrastive Language-image Mosaic For Region Representation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Wu et al.
• Pmc-llama: Towards Building Open-source Language Models For Medicine (2023) • Journal of the American Medical Informatics Association • 204 citations
  Wu et al.
• Red Teaming Language Model Detectors With Language Models (2023) • Transactions of the Association for Computational Linguistics • 19 citations
  Shi et al.
• Detecting Pretraining Data From Large Language Models (2023) • No Venue
  Shi et al.
• Aligning And Prompting Everything All At Once For Universal Visual Perception (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Shen et al.
• Llama-adapter V2: Parameter-efficient Visual Instruction Model (2023) • Arxiv • 117 citations
  Gao et al.
• LAMM: Label Alignment For Multi-modal Prompt Learning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Gao et al.
• MART: Improving LLM Safety With Multi-round Automatic Red-teaming (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 17 citations
  Ge et al.
• Hiclip: Contrastive Language-image Pretraining With Hierarchy-aware Attention (2023) • Arxiv • 11 citations
  Geng et al.
• "do Anything Now": Characterizing And Evaluating In-the-wild Jailbreak Prompts On Large Language Models (2023) • CCS '24: ACM SIGSAC Conference on Computer and Communications Security • 108 citations
  Shen et al.
• Secrets Of RLHF In Large Language Models Part I: PPO (2023) • No Venue
  Zheng et al.
• Domain Aligned CLIP For Few-shot Classification (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 12 citations
  Gondal et al.
• Figstep: Jailbreaking Large Vision-language Models Via Typographic Visual Prompts (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 26 citations
  Gong et al.
• Xraygpt: Chest Radiographs Summarization Using Medical Vision-language Models (2023) • Arxiv • 39 citations
  Thawakar et al.
• Detecting And Grounding Multi-modal Media Manipulation And Beyond (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 34 citations
  Shao et al.
• Lmsys-chat-1m: A Large-scale Real-world LLM Conversation Dataset (2023) • No Venue
  Zheng et al.
• Not What You've Signed Up For: Compromising Real-world Llm-integrated Applications With Indirect Prompt Injection (2023) • CCS '23: ACM SIGSAC Conference on Computer and Communications Security • 210 citations
  Greshake et al.
• Multimodal Data Augmentation For Image Captioning Using Diffusion Models (2023) • Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications • 11 citations
  Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
• Doremi: Grounding Language Model By Detecting And Recovering From Plan-execution Misalignment (2023) • 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 14 citations
  Guo et al.
• Motionlm: Multi-agent Motion Forecasting As Language Modeling (2023) • No Venue
  Seff et al.
• Alignscore: Evaluating Factual Consistency With A Unified Alignment Function (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Zha et al.
• Key-locked Rank One Editing For Text-to-image Personalization (2023) • Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings • 97 citations
  Tewel et al.
• Zero-shot Referring Expression Comprehension Via Structural Similarity Between Images And Captions (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Han et al.
• Jais And Jais-chat: Arabic-centric Foundation And Instruction-tuned Open Generative Large Language Models (2023) • No Venue
  Sengupta et al.
• Mgtbench: Benchmarking Machine-generated Text Detection (2023) • Arxiv • 30 citations
  He et al.
• A Picture Is Worth A Thousand Words: Principled Recaptioning Improves Image Generation (2023) • No Venue
  Segalis et al.
• LIMA: Less Is More For Alignment (2023) • No Venue
  Zhou et al.
• CVT-SLR: Contrastive Visual-textual Transformation For Sign Language Recognition With Variational Alignment (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 76 citations
  Zheng et al.
• All In One: Exploring Unified Vision-language Tracking With Multi-modal Alignment (2023) • MM '23: The 31st ACM International Conference on Multimedia • 24 citations
  Zhang et al.
• Ignore This Title And Hackaprompt: Exposing Systemic Vulnerabilities Of Llms Through A Global Scale Prompt Hacking Competition (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Schulhoff et al.
• On The Adversarial Robustness Of Multi-modal Foundation Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 50 citations
  Christian Schlarmann, Matthias Hein
• Technical Report: Large Language Models Can Strategically Deceive Their Users When Put Under Pressure (2023) • No Venue
  Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn
• Reclip: Refine Contrastive Language Image Pre-training With Source Free Domain Adaptation (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 14 citations
  Hu et al.
• VL-PET: Vision-and-language Parameter-efficient Tuning Via Granularity Control (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Hu et al.
• CLIP In Medical Imaging: A Survey (2023) • Medical Image Analysis • 37 citations
  Zhao et al.
• Livelyspeaker: Towards Semantic-aware Co-speech Gesture Generation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 23 citations
  Zhi et al.
• Improving Cross-lingual Information Retrieval On Low-resource Languages Via Optimal Transport Distillation (2023) • Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining • 21 citations
  Zhiqi Huang, Puxuan Yu, James Allan
• Vtimellm: Empower LLM To Grasp Video Moments (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 80 citations
  Huang et al.
• RLHF-V: Towards Trustworthy Mllms Via Behavior Alignment From Fine-grained Correctional Human Feedback (2023) • No Venue
  Yu et al.
• Efficient RLHF: Reducing The Memory Usage Of PPO (2023) • No Venue
  Santacroce et al.
• Osprey: Pixel Understanding With Visual Instruction Tuning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
  Yuan et al.
• Carve3d: Improving Multi-view Reconstruction Consistency For Diffusion Models With RL Finetuning (2023) • No Venue
  Xie et al.
• Text2room: Extracting Textured 3D Meshes From 2D Text-to-image Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 109 citations
  Höllein et al.
• On Robustness Of Prompt-based Semantic Parsing With Large Pre-trained Language Model: An Empirical Study On Codex (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 15 citations
  Zhuo et al.
• Expclip: Bridging Text And Facial Expressions Via Semantic Alignment (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
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  Yu et al.
• Discrete Diffusion In Large Language And Multimodal Models: A Survey (2025) • No Venue
  Runpeng Yu, Qi Li, Xinchao Wang
• Don't Overthink It: A Survey Of Efficient R1-style Large Reasoning Models (2025) • No Venue
  Yue et al.
• 100 Days After Deepseek-r1: A Survey On Replication Studies And More Directions For Reasoning Language Models (2025) • No Venue
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• API Agents Vs. GUI Agents: Divergence And Convergence (2025) • No Venue
  Zhang et al.
• Unified Multimodal Understanding And Generation Models: Advances, Challenges, And Opportunities (2025) • No Venue
  Zhang et al.
• What, How, Where, And How Well? A Survey On Test-time Scaling In Large Language Models (2025) • No Venue
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• Llms4all: A Review On Large Language Models For Research And Applications In Academic Disciplines (2025) • No Venue
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• Ask In Any Modality: A Comprehensive Survey On Multimodal Retrieval-augmented Generation (2025) • No Venue
  Abootorabi et al.
• Is Trust Correlated With Explainability In AI? A Meta-analysis (2025) • IEEE Transactions on Technology and Society • 16 citations
  Zahra Atf, Peter R. Lewis
• Reasoning Language Models: A Blueprint (2025) • No Venue
  Besta et al.
• Why Reasoning Matters? A Survey Of Advancements In Multimodal Reasoning (v1) (2025) • No Venue
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• Reconstructing 4D Spatial Intelligence: A Survey (2025) • No Venue
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• LLM Agents For Education: Advances And Applications (2025) • Findings of the Association for Computational Linguistics: EMNLP 2025 • 16 citations
  Chu et al.
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• Adapting Vision-language Models Without Labels: A Comprehensive Survey (2025) • No Venue
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• Educational Impacts Of Generative Artificial Intelligence On Learning And Performance Of Engineering Students In China (2025) • Scientific Reports • 20 citations
  Lei Fan, Kunyang Deng, Fangxue Liu
• Efficient Reasoning Models: A Survey (2025) • No Venue
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• A Survey Of Self-evolving Agents: On Path To Artificial Super Intelligence (2025) • No Venue
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• Exploring Federated Pruning For Large Language Models (2025) • No Venue
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• Low-precision Training Of Large Language Models: Methods, Challenges, And Opportunities (2025) • No Venue
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• The Role Of Computing Resources In Publishing Foundation Model Research (2025) • No Venue
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• A Survey Of Scientific Large Language Models: From Data Foundations To Agent Frontiers (2025) • No Venue
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• Memory In The Age Of AI Agents (2025) • No Venue
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• A Survey On Vision-language-action Models For Autonomous Driving (2025) • No Venue
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• Medical Hallucinations In Foundation Models And Their Impact On Healthcare (2025) • Arxiv • 41 citations
  Kim et al.
• Reportbench: Evaluating Deep Research Agents Via Academic Survey Tasks (2025) • No Venue
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• Advances In Speech Separation: Techniques, Challenges, And Future Trends (2025) • No Venue
  Li et al.
• Perception, Reason, Think, And Plan: A Survey On Large Multimodal Reasoning Models (2025) • No Venue
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• An Anatomy Of Vision-language-action Models: From Modules To Milestones And Challenges (2025) • No Venue
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• Towards Large Reasoning Models: A Survey Of Reinforced Reasoning With Large Language Models (2025) • No Venue
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• Surveyforge: On The Outline Heuristics, Memory-driven Generation, And Multi-dimensional Evaluation For Automated Survey Writing (2025) • No Venue
  Yan et al.
• Harnessing The Reasoning Economy: A Survey Of Efficient Reasoning For Large Language Models (2025) • No Venue
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• From AI For Science To Agentic Science: A Survey On Autonomous Scientific Discovery (2025) • No Venue
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• 3D Scene Generation: A Survey (2025) • No Venue
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• Sailing AI By The Stars: A Survey Of Learning From Rewards In Post-training And Test-time Scaling Of Large Language Models (2025) • No Venue
  Xiaobao Wu
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• A Survey On Large Language Model Benchmarks (2025) • No Venue
  Ni et al.
• A Survey Of Research In Large Language Models For Electronic Design Automation (2025) • ACM Transactions on Design Automation of Electronic Systems • 18 citations
  Pan et al.
• Understanding The Llm-ification Of CHI: Unpacking The Impact Of Llms At CHI Through A Systematic Literature Review (2025) • CHI 2025: CHI Conference on Human Factors in Computing Systems • 10 citations
  Pang et al.
• A Survey On Inference Engines For Large Language Models: Perspectives On Optimization And Efficiency (2025) • No Venue
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• A Survey Of Efficient Reasoning For Large Reasoning Models: Language, Multimodality, And Beyond (2025) • No Venue
  Qu et al.
• Vibe Coding Vs. Agentic Coding: Fundamentals And Practical Implications Of Agentic AI (2025) • No Venue
  Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee
• Vision-language-action Models: Concepts, Progress, Applications And Challenges (2025) • No Venue
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• Agent Laboratory: Using LLM Agents As Research Assistants (2025) • No Venue
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• Open Problems In Mechanistic Interpretability (2025) • No Venue
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• When Tokens Talk Too Much: A Survey Of Multimodal Long-context Token Compression Across Images, Videos, And Audios (2025) • No Venue
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• Vision-language Models For Edge Networks: A Comprehensive Survey (2025) • IEEE Internet of Things Journal • 10 citations
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• Towards Trustworthy GUI Agents: A Survey (2025) • No Venue
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• Injecting Domain-specific Knowledge Into Large Language Models: A Comprehensive Survey (2025) • Findings of the Association for Computational Linguistics: EMNLP 2025 • 11 citations
  Song et al.
• Thinking With Images For Multimodal Reasoning: Foundations, Methods, And Future Frontiers (2025) • No Venue
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• Stop Overthinking: A Survey On Efficient Reasoning For Large Language Models (2025) • No Venue
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• Speed Always Wins: A Survey On Efficient Architectures For Large Language Models (2025) • No Venue
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• Surveyx: Academic Survey Automation Via Large Language Models (2025) • No Venue
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• Advances And Challenges In Foundation Agents: From Brain-inspired Intelligence To Evolutionary, Collaborative, And Safe Systems (2025) • No Venue
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• Logical Reasoning In Large Language Models: A Survey (2025) • No Venue
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• Thus Spake Long-context Large Language Model (2025) • No Venue
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• What Makes A Good Natural Language Prompt? (2025) • No Venue
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• LLM4SR: A Survey On Large Language Models For Scientific Research (2025) • No Venue
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• Discrete Audio Tokens: More Than A Survey! (2025) • No Venue
  Mousavi et al.
• Synthetic Data Generation Using Large Language Models: Advances In Text And Code (2025) • IEEE Access • 13 citations
  Mihai Nadas, Laura Diosan, Andreea Tomescu
• Minstrel: Structural Prompt Generation With Multi-agents Coordination For Non-ai Experts (2024) • No Venue
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• Knowledge Mechanisms In Large Language Models: A Survey And Perspective (2024) • No Venue
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• History, Development, And Principles Of Large Language Models-an Introductory Survey (2024) • AI and Ethics • 47 citations
  Wang et al.
• Factuality Of Large Language Models: A Survey (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 13 citations
  Wang et al.
• Bioinformatics And Biomedical Informatics With Chatgpt: Year One Review (2024) • Quantitative Biology • 21 citations
  Wang et al.
• Accelerating Clinical Evidence Synthesis With Large Language Models (2024) • npj Digital Medicine • 12 citations
  Wang et al.
• A Comprehensive Survey Of Small Language Models In The Era Of Large Language Models: Techniques, Enhancements, Applications, Collaboration With Llms, And Trustworthiness (2024) • ACM Transactions on Intelligent Systems and Technology • 21 citations
  Wang et al.
• GUI Agents: A Survey (2024) • No Venue
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• A Survey On Knowledge Distillation Of Large Language Models (2024) • IEEE Transactions on Artificial Intelligence • 25 citations
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• A Systematic Review Of Generative AI For Teaching And Learning Practice (2024) • Education Sciences • 112 citations
  Ogunleye et al.
• Insights From Social Shaping Theory: The Appropriation Of Large Language Models In An Undergraduate Programming Course (2024) • ICER 2024: ACM Conference on International Computing Education Research • 24 citations
  Padiyath et al.
• Synergizing Machine Learning & Symbolic Methods: A Survey On Hybrid Approaches To Natural Language Processing (2024) • Expert Systems with Applications • 16 citations
  Rrubaa Panchendrarajan, Arkaitz Zubiaga
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• Graph Retrieval-augmented Generation: A Survey (2024) • ACM Transactions on Information Systems • 17 citations
  Peng et al.
• Em-assist: Safe Automated Extractmethod Refactoring With Llms (2024) • FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering • 19 citations
  Pomian et al.
• Beyond The Hype: A Comprehensive Review Of Current Trends In Generative AI Research, Teaching Practices, And Tools (2024) • ITiCSE 2024: Innovation and Technology in Computer Science Education • 37 citations
  Prather et al.
• Large Language Models Meet NLP: A Survey (2024) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 92 citations
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• Unleashing The Power Of Data Tsunami: A Comprehensive Survey On Data Assessment And Selection For Instruction Tuning Of Language Models (2024) • No Venue
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• The Synergy Between Data And Multi-modal Large Language Models: A Survey From Co-development Perspective (2024) • No Venue
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• Autoregressive Models In Vision: A Survey (2024) • No Venue
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• Mobile Edge Intelligence For Large Language Models: A Contemporary Survey (2024) • Arxiv • 18 citations
  Qu et al.
• Tool Learning With Large Language Models: A Survey (2024) • Frontiers of Computer Science • 29 citations
  Qu et al.
• Llms Among Us: Generative AI Participating In Digital Discourse (2024) • Proceedings of the AAAI Symposium Series • 14 citations
  Kristina Radivojevic, Nicholas Clark, Paul Brenner
• Large Language Models In Computer Science Education: A Systematic Literature Review (2024) • SIGCSE TS 2025: The 56th ACM Technical Symposium on Computer Science Education • 25 citations
  Raihan et al.
• A Survey Of Large Language Models For Graphs (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 41 citations
  Ren et al.
• Achieving Peak Performance For Large Language Models: A Systematic Review (2024) • IEEE Access • 20 citations
  Zhyar Rzgar K Rostam, Sándor Szénási, Gábor Kertész
• Revealing Fine-grained Values And Opinions In Large Language Models (2024) • No Venue
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• One Missing Piece In Vision And Language: A Survey On Comics Understanding (2024) • No Venue
  Vivoli et al.
• Streamlining Systematic Reviews: A Novel Application Of Large Language Models (2024) • BMC Medical Research Methodology • 11 citations
  Trad et al.
• Two Tales Of Persona In Llms: A Survey Of Role-playing And Personalization (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 29 citations
  Tseng et al.
• Rethinking Interpretability In The Era Of Large Language Models (2024) • No Venue
  Singh et al.
• Students' Perceived Roles, Opportunities, And Challenges Of A Generative Ai-powered Teachable Agent: A Case Of Middle School Math Class (2024) • Journal of Research on Technology in Education • 16 citations
  Song et al.
• To Cot Or Not To Cot? Chain-of-thought Helps Mainly On Math And Symbolic Reasoning (2024) • No Venue
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• Recent Advances Of Foundation Language Models-based Continual Learning: A Survey (2024) • ACM Computing Surveys • 23 citations
  Yang et al.
• A Reproducibility And Generalizability Study Of Large Language Models For Query Generation (2024) • SIGIR-AP 2024: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region • 11 citations
  Staudinger et al.
• Automating Research Synthesis With Domain-specific Large Language Model Fine-tuning (2024) • ACM Transactions on Knowledge Discovery from Data • 32 citations
  Susnjak et al.
• Large Language Models And Video Games: A Preliminary Scoping Review (2024) • CUI '24: ACM Conversational User Interfaces 2024 • 17 citations
  Penny Sweetser
• Personalized Multimodal Large Language Models: A Survey (2024) • No Venue
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• Retrieval-augmented Generation For Natural Language Processing: A Survey (2024) • Arxiv • 14 citations
  Wu et al.
• A Framework For Human Evaluation Of Large Language Models In Healthcare Derived From Literature Review (2024) • npj Digital Medicine • 172 citations
  Tam et al.
• Bugs In Large Language Models Generated Code: An Empirical Study (2024) • Empirical Software Engineering • 22 citations
  Tambon et al.
• Large Language Models For Data Annotation And Synthesis: A Survey (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 96 citations
  Tan et al.
• Evolutionary Computation In The Era Of Large Language Model: Survey And Roadmap (2024) • IEEE Transactions on Evolutionary Computation • 49 citations
  Wu et al.
• Political Compass Or Spinning Arrow? Towards More Meaningful Evaluations For Values And Opinions In Large Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Röttger et al.
• A Comprehensive Survey Of Hallucination In Large Language, Image, Video And Audio Foundation Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 26 citations
  Sahoo et al.
• High-performance Automated Abstract Screening With Large Language Model Ensembles (2024) • Journal of the American Medical Informatics Association • 21 citations
  Sanghera et al.
• The Emergence Of Large Language Models (LLM) As A Tool In Literature Reviews: An LLM Automated Systematic Review (2024) • Journal of the American Medical Informatics Association • 43 citations
  Scherbakov et al.
• Ruffle&riley: Insights From Designing And Evaluating A Large Language Model-based Conversational Tutoring System (2024) • Lecture Notes in Computer Science • 23 citations
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• The Prompt Report: A Systematic Survey Of Prompting Techniques (2024) • No Venue
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• How Novice Programmers Use And Experience Chatgpt When Solving Programming Exercises In An Introductory Course (2024) • 2024 IEEE Frontiers in Education Conference (FIE) • 22 citations
  Andreas Scholl, Natalie Kiesler
• Generative Artificial Intelligence: A Systematic Review And Applications (2024) • Multimedia Tools and Applications • 223 citations
  Sengar et al.
• Evaluation Of LLM Chatbots For Osint-based Cyber Threat Awareness (2024) • Expert Systems with Applications • 25 citations
  Samaneh Shafee, Alysson Bessani, Pedro M. Ferreira
• Survey Of Different Large Language Model Architectures: Trends, Benchmarks, And Challenges (2024) • IEEE Access • 41 citations
  Shao et al.
• A Comprehensive Survey Of Large Language Models And Multimodal Large Language Models In Medicine (2024) • Information Fusion • 40 citations
  Xiao et al.
• A Survey On Employing Large Language Models For Text-to-sql Tasks (2024) • ACM Computing Surveys • 21 citations
  Shi et al.
• Continual Learning Of Large Language Models: A Comprehensive Survey (2024) • ACM Computing Surveys • 23 citations
  Shi et al.
• Large Language Models For Cyber Security: A Systematic Literature Review (2024) • ACM Transactions on Software Engineering and Methodology • 28 citations
  Xu et al.
• Knowledge Conflicts For Llms: A Survey (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 23 citations
  Xu et al.
• Unlocking Efficiency In Large Language Model Inference: A Comprehensive Survey Of Speculative Decoding (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Xia et al.
• A Survey On Symbolic Knowledge Distillation Of Large Language Models (2024) • IEEE Transactions on Artificial Intelligence • 25 citations
  Kamal Acharya, Alvaro Velasquez, Houbing Herbert Song
• Towards Measuring And Modeling "culture" In Llms: A Survey (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Adilazuarda et al.
• Large Language Models For Mathematical Reasoning: Progresses And Challenges (2024) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop • 40 citations
  Ahn et al.
• Ai-generated Faces Influence Gender Stereotypes And Racial Homogenization (2024) • Scientific Reports • 13 citations
  Nouar Aldahoul, Talal Rahwan, Yasir Zaki
• Distractor Generation In Multiple-choice Tasks: A Survey Of Methods, Datasets, And Evaluation (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 13 citations
  Alhazmi et al.
• Retrieval-augmented Generation For Ai-generated Content: A Survey (2024) • Data Science and Engineering • 11 citations
  Zhao et al.
• Digital Forgetting In Large Language Models: A Survey Of Unlearning Methods (2024) • Artificial Intelligence Review • 14 citations
  Blanco-Justicia et al.
• Artificial Intelligence For Literature Reviews: Opportunities And Challenges (2024) • Artificial Intelligence Review • 116 citations
  Bolanos et al.
• Large Language Model (LLM) For Telecommunications: A Comprehensive Survey On Principles, Key Techniques, And Opportunities (2024) • IEEE Communications Surveys & Tutorials • 118 citations
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• The Revolution Of Multimodal Large Language Models: A Survey (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 43 citations
  Caffagni et al.
• A Survey On Mixture Of Experts In Large Language Models (2024) • IEEE Transactions on Knowledge and Data Engineering • 36 citations
  Cai et al.
• A Survey On Generative AI And LLM For Video Generation, Understanding, And Streaming (2024) • Arxiv • 25 citations
  Zhou et al.
• Survey On Large Language Model-enhanced Reinforcement Learning: Concept, Taxonomy, And Methods (2024) • IEEE Transactions on Neural Networks and Learning Systems • 67 citations
  Cao et al.
• Computational Argumentation-based Chatbots: A Survey (2024) • Journal of Artificial Intelligence Research • 14 citations
  Castagna et al.
• Document Parsing Unveiled: Techniques, Challenges, And Prospects For Structured Information Extraction (2024) • No Venue
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• RLHF Deciphered: A Critical Analysis Of Reinforcement Learning From Human Feedback For Llms (2024) • ACM Computing Surveys • 27 citations
  Chaudhari et al.
• Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey (2024) • No Venue
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• Scientific Large Language Models: A Survey On Biological & Chemical Domains (2024) • ACM Computing Surveys • 46 citations
  Zhang et al.
• Personalization Of Large Language Models: A Survey (2024) • No Venue
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• Mm-llms: Recent Advances In Multimodal Large Language Models (2024) • No Venue
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• Large Multi-modal Models Can Interpret Features In Large Multi-modal Models (2024) • No Venue
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• Exploring Consumers Response To Text-based Chatbots In E-commerce: The Moderating Role Of Task Complexity And Chatbot Disclosure (2024) • Internet Research • 205 citations
  Cheng et al.
• Closing The Gap Between Open-source And Commercial Large Language Models For Medical Evidence Summarization (2024) • npj Digital Medicine • 48 citations
  Zhang et al.
• (A)I Am Not A Lawyer, But...: Engaging Legal Experts Towards Responsible LLM Policies For Legal Advice (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 62 citations
  Cheong et al.
• Advancing Building Energy Modeling With Large Language Models: Exploration And Case Studies (2024) • Energy and Buildings • 50 citations
  Liang Zhang, Zhelun Chen, Vitaly Ford
• Fairness In Large Language Models: A Taxonomic Survey (2024) • ACM SIGKDD Explorations Newsletter • 43 citations
  Zhibo Chu, Zichong Wang, Wenbin Zhang
• Security And Privacy Challenges Of Large Language Models: A Survey (2024) • ACM Computing Surveys • 147 citations
  Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
• A Review Of Modern Recommender Systems Using Generative Models (gen-recsys) (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 77 citations
  Deldjoo et al.
• Attacks, Defenses And Evaluations For LLM Conversation Safety: A Survey (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 21 citations
  Dong et al.
• Safeguarding Large Language Models: A Survey (2024) • Artificial Intelligence Review • 20 citations
  Dong et al.
• Privacy In Fine-tuning Large Language Models: Attacks, Defenses, And Future Directions (2024) • Lecture Notes in Computer Science • 10 citations
  Du et al.
• An Empirical Categorization Of Prompting Techniques For Large Language Models: A Practitioner's Guide (2024) • Journal of Artificial Intelligence, Machine Learning and Data Science • 12 citations
  Oluwole Fagbohun, Rachel M. Harrison, Anton Dereventsov
• LLM4PLC: Harnessing Large Language Models For Verifiable Programming Of Plcs In Industrial Control Systems (2024) • ICSE-SEIP '24: 46th International Conference on Software Engineering: Software Engineering in Practice • 35 citations
  Fakih et al.
• A Survey On RAG Meeting Llms: Towards Retrieval-augmented Large Language Models (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 364 citations
  Fan et al.
• Detecting Ai-generated Text: Factors Influencing Detectability With Current Methods (2024) • Journal of Artificial Intelligence Research • 19 citations
  Kathleen C. Fraser, Hillary Dawkins, Svetlana Kiritchenko
• Ai-tutoring In Software Engineering Education (2024) • ICSE-SEET '24: 46th International Conference on Software Engineering: Software Engineering Education and Training • 36 citations
  Frankford et al.
• Mme-survey: A Comprehensive Survey On Evaluation Of Multimodal Llms (2024) • No Venue
  Fu et al.
• Large Language Models And Games: A Survey And Roadmap (2024) • IEEE Transactions on Games • 66 citations
  Gallotta et al.
• Towards A Unified View Of Preference Learning For Large Language Models: A Survey (2024) • No Venue
  Gao et al.
• Llm-based NLG Evaluation: Current Status And Challenges (2024) • Computational Linguistics • 39 citations
  Gao et al.
• Generative AI In Education: A Study Of Educators' Awareness, Sentiments, And Influencing Factors (2024) • 2024 IEEE Frontiers in Education Conference (FIE) • 37 citations
  Aashish Ghimire, James Prather, John Edwards
• From Guidelines To Governance: A Study Of AI Policies In Education (2024) • Communications in Computer and Information Science • 26 citations
  Aashish Ghimire, John Edwards
• Exploring The Frontier Of Vision-language Models: A Survey Of Current Methodologies And Future Directions (2024) • Arxiv • 24 citations
  Ghosh et al.
• Alpapico: Extraction Of PICO Frames From Clinical Trial Documents Using Llms (2024) • Methods • 17 citations
  Ghosh et al.
• Is It Really Long Context If All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP (2024) • No Venue
  Goldman et al.
• Are AI Detectors Good Enough? A Survey On Quality Of Datasets With Machine-generated Texts (2024) • No Venue
  Gritsai et al.
• A Survey On Llm-as-a-judge (2024) • The Innovation • 11 citations
  Gu et al.
• Search, Verify And Feedback: Towards Next Generation Post-training Paradigm Of Foundation Models Via Verifier Engineering (2024) • No Venue
  Guan et al.
• A Survey: Collaborative Hardware And Software Design In The Era Of Large Language Models (2024) • IEEE Circuits and Systems Magazine • 12 citations
  Guo et al.
• Large Language Model For Mental Health: A Systematic Review (2024) • Arxiv • 13 citations
  Guo et al.
• Attention Heads Of Large Language Models: A Survey (2024) • No Venue
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• The Great AI Witch Hunt: Reviewers Perception And (mis)conception Of Generative AI In Research Writing (2024) • Computers in Human Behavior: Artificial Humans • 30 citations
  Hadan et al.
• Authorship Attribution In The Era Of Llms: Problems, Methodologies, And Challenges (2024) • No Venue
  Baixiang Huang, Canyu Chen, Kai Shu
• Surveying The Effects Of Quality, Diversity, And Complexity In Synthetic Data From Large Language Models (2024) • No Venue
  Havrilla et al.
• Next-generation Database Interfaces: A Survey Of Llm-based Text-to-sql (2024) • IEEE Transactions on Knowledge and Data Engineering • 18 citations
  Hong et al.
• Recent Advances In Hate Speech Moderation: Multimodality And The Role Of Large Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 17 citations
  Hee et al.
• Towards Lifelong Learning Of Large Language Models: A Survey (2024) • ACM Computing Surveys • 27 citations
  Zheng et al.
• Evaluation Of Retrieval-augmented Generation: A Survey (2024) • Communications in Computer and Information Science • 56 citations
  Yu et al.
• The Promise And Challenges Of Using Llms To Accelerate The Screening Process Of Systematic Reviews (2024) • EASE 2024: 28th International Conference on Evaluation and Assessment in Software Engineering • 12 citations
  Huotala et al.
• From "AI" To Probabilistic Automation: How Does Anthropomorphization Of Technical Systems Descriptions Influence Trust? (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 17 citations
  Inie et al.
• A Survey On Large Language Models For Code Generation (2024) • ACM Transactions on Software Engineering and Methodology • 23 citations
  Jiang et al.
• When Large Language Models Meet Vector Databases: A Survey (2024) • 2025 Conference on Artificial Intelligence x Multimedia (AIxMM) • 25 citations
  Jing et al.
• A Survey On Llm-based Code Generation For Low-resource And Domain-specific Programming Languages (2024) • ACM Transactions on Software Engineering and Methodology • 11 citations
  Sathvik Joel, Jie Jw Wu, Fatemeh H. Fard
• A Survey On Hardware Accelerators For Large Language Models (2024) • Applied Sciences • 19 citations
  Christoforos Kachris
• When Can Llms Actually Correct Their Own Mistakes? A Critical Survey Of Self-correction Of Llms (2024) • Transactions of the Association for Computational Linguistics • 21 citations
  Kamoi et al.
• Codeaid: Evaluating A Classroom Deployment Of An Llm-based Programming Assistant That Balances Student And Educator Needs (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 163 citations
  Kazemitabaar et al.
• Exploring The Frontiers Of Llms In Psychological Applications: A Comprehensive Review (2024) • Artificial Intelligence Review • 13 citations
  Ke et al.
• Grounding And Evaluation For Large Language Models: Practical Challenges And Lessons Learned (survey) (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 19 citations
  Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
• Transformers And Large Language Models For Efficient Intrusion Detection Systems: A Comprehensive Survey (2024) • Information Fusion • 63 citations
  Hamza Kheddar
• Beyond Code Generation: An Observational Study Of Chatgpt Usage In Software Engineering Practice (2024) • Proceedings of the ACM on Software Engineering • 49 citations
  Khojah et al.
• The Evolution Of Learning: Assessing The Transformative Impact Of Generative AI On Higher Education (2024) • Frontiers of Digital Education • 15 citations
  Stefanie Krause, Bhumi Hitesh Panchal, Nikhil Ubhe
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• Concept Induction: Analyzing Unstructured Text With High-level Concepts Using Lloom (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 27 citations
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• Text-to-3d Shape Generation (2024) • Computer Graphics Forum • 11 citations
  Han-Hung Lee, Manolis Savva, Angel X. Chang
• A Survey On The Honesty Of Large Language Models (2024) • No Venue
  Li et al.
• Controllable Text Generation For Large Language Models: A Survey (2024) • No Venue
  Liang et al.
• Internal Consistency And Self-feedback In Large Language Models: A Survey (2024) • No Venue
  Liang et al.
• Preference Tuning With Human Feedback On Language, Speech, And Vision Tasks: A Survey (2024) • No Venue
  Winata et al.
• Llm-based Optimization Of Compound AI Systems: A Survey (2024) • No Venue
  Lin et al.
• Tiny Machine Learning: Progress And Futures (2024) • IEEE Circuits and Systems Magazine • 120 citations
  Lin et al.
• A Survey Of Attacks On Large Vision-language Models: Resources, Advances, And Future Trends (2024) • IEEE Transactions on Neural Networks and Learning Systems • 15 citations
  Liu et al.
• Best Practices And Lessons Learned On Synthetic Data For Language Models (2024) • No Venue
  Liu et al.
• Large Language Models For Networking: Workflow, Advances And Challenges (2024) • IEEE Network • 15 citations
  Liu et al.
• Multimodal Pretraining, Adaptation, And Generation For Recommendation: A Survey (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 33 citations
  Liu et al.
• Lightweight Deep Learning For Resource-constrained Environments: A Survey (2024) • ACM Computing Surveys • 123 citations
  Liu et al.
• On Llms-driven Synthetic Data Generation, Curation, And Evaluation: A Survey (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 60 citations
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  Luera et al.
• Enhancing Programming Education With Chatgpt: A Case Study On Student Perceptions And Interactions In A Python Course (2024) • Communications in Computer and Information Science • 19 citations
  Boxaun Ma, Li Chen, Shin'Ichi Konomi
• Foundation Models For Music: A Survey (2024) • No Venue
  Ma et al.
• Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey (2024) • ACM Transactions on Information Systems • 20 citations
  Ma et al.
• Sycophancy In Large Language Models: Causes And Mitigations (2024) • Lecture Notes in Networks and Systems • 13 citations
  Lars Malmqvist
• AI Hallucinations: A Misnomer Worth Clarifying (2024) • 2024 IEEE Conference on Artificial Intelligence (CAI) • 101 citations
  Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
• A Survey On Lora Of Large Language Models (2024) • Frontiers of Computer Science • 57 citations
  Mao et al.
• A Survey Of Small Language Models (2024) • No Venue
  Nguyen et al.
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  Wang et al.
• From Questions To Insightful Answers: Building An Informed Chatbot For University Resources (2024) • 2024 IEEE Frontiers in Education Conference (FIE) • 17 citations
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  Parker et al.
• AI Deception: A Survey Of Examples, Risks, And Potential Solutions (2023) • Patterns • 108 citations
  Park et al.
• Diminished Diversity-of-thought In A Standard Large Language Model (2023) • Behavior Research Methods • 44 citations
  Peter S. Park, Philipp Schoenegger, Chongyang Zhu
• Evaluating GPT-3 Generated Explanations For Hateful Content Moderation (2023) • Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23} • 19 citations
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• LEXTREME: A Multi-lingual And Multi-task Benchmark For The Legal Domain (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 26 citations
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• Recent Advances In Direct Speech-to-text Translation (2023) • Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence • 21 citations
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• Automatically Correcting Large Language Models: Surveying The Landscape Of Diverse Self-correction Strategies (2023) • Transactions of the Association for Computational Linguistics • 53 citations
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• Large Language Models For Generative Information Extraction: A Survey (2023) • Frontiers of Computer Science • 141 citations
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• Toward Verifiable And Reproducible Human Evaluation For Text-to-image Generation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 44 citations
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• Several Categories Of Large Language Models (llms): A Short Survey (2023) • International Journal for Research in Applied Science and Engineering Technology • 23 citations
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• Do Llms Exhibit Human-like Response Biases? A Case Study In Survey Design (2023) • Transactions of the Association for Computational Linguistics • 34 citations
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• A Review Of Deep Learning For Video Captioning (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 23 citations
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• Can Knowledge Graphs Reduce Hallucinations In Llms? : A Survey (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 57 citations
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• The Science Of Detecting Llm-generated Texts (2023) • Communications of the ACM • 91 citations
  Ruixiang Tang, Yu-Neng Chuang, Xia Hu
• Video Understanding With Large Language Models: A Survey (2023) • IEEE Transactions on Circuits and Systems for Video Technology • 43 citations
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• Explainability For Large Language Models: A Survey (2023) • ACM Transactions on Intelligent Systems and Technology • 372 citations
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• Large Language Models In Healthcare And Medical Domain: A Review (2023) • Informatics • 239 citations
  Zabir Al Nazi, Wei Peng
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  Nahar et al.
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  Luca Nannini, Agathe Balayn, Adam Leon Smith
• A Comprehensive Overview Of Large Language Models (2023) • ACM Transactions on Intelligent Systems and Technology • 260 citations
  Naveed et al.
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• Towards Efficient Generative Large Language Model Serving: A Survey From Algorithms To Systems (2023) • ACM Computing Surveys • 10 citations
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• Harnessing The Power Of Llms In Practice: A Survey On Chatgpt And Beyond (2023) • ACM Transactions on Knowledge Discovery from Data • 350 citations
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• Evaluation Of Chatgpt-generated Medical Responses: A Systematic Review And Meta-analysis (2023) • Journal of Biomedical Informatics • 105 citations
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• Large Language Model Instruction Following: A Survey Of Progresses And Challenges (2023) • Computational Linguistics • 13 citations
  Renze Lou, Kai Zhang, Wenpeng Yin
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• Robust Visual Question Answering: Datasets, Methods, And Future Challenges (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 33 citations
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• Tell Me A Story! Narrative-driven XAI With Large Language Models (2023) • Decision Support Systems • 13 citations
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• A Survey On Large Language Model (LLM) Security And Privacy: The Good, The Bad, And The Ugly (2023) • High-Confidence Computing • 691 citations
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• Commonsense Reasoning For Conversational AI: A Survey Of The State Of The Art (2023) • Arxiv • 10 citations
  Christopher Richardson, Larry Heck
• Sasha: Creative Goal-oriented Reasoning In Smart Homes With Large Language Models (2023) • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies • 56 citations
  King et al.
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• Longeval: Guidelines For Human Evaluation Of Faithfulness In Long-form Summarization (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 24 citations
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• Large Language Models In Law: A Survey (2023) • AI Open • 70 citations
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• Knowledge Of Cultural Moral Norms In Large Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 34 citations
  Aida Ramezani, Yang Xu
• Evaluating Llms On Document-based QA: Exact Answer Selection And Numerical Extraction Using Cogtale Dataset (2023) • Natural Language Processing Journal • 21 citations
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• A Survey On Multimodal Large Language Models (2023) • National Science Review • 345 citations
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• Chatgpt: A Meta-analysis After 2.5 Months (2023) • Machine Learning with Applications • 66 citations
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• From Text To Multimodal: A Survey Of Adversarial Example Generation In Question Answering Systems (2023) • Knowledge and Information Systems • 10 citations
  Gulsum Yigit, Mehmet Fatih Amasyali
• Diffusion Models For Non-autoregressive Text Generation: A Survey (2023) • Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence • 27 citations
  Li et al.
• Multimodal Foundation Models: From Specialists To General-purpose Assistants (2023) • No Venue
  Li et al.
• The Robots Are Here: Navigating The Generative AI Revolution In Computing Education (2023) • ITiCSE 2023: Innovation and Technology in Computer Science Education • 252 citations
  Prather et al.
• A Large-scale Survey On The Usability Of AI Programming Assistants: Successes And Challenges (2023) • Arxiv • 13 citations
  Jenny T. Liang, Chenyang Yang, Brad A. Myers
• Opening Up Chatgpt: Tracking Openness, Transparency, And Accountability In Instruction-tuned Text Generators (2023) • CUI '23: ACM conference on Conversational User Interfaces • 68 citations
  Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
• How To Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 28 citations
  Lin et al.
• Domain Specialization As The Key To Make Large Language Models Disruptive: A Comprehensive Survey (2023) • ACM Computing Surveys • 22 citations
  Ling et al.
• Pre-train, Prompt And Recommendation: A Comprehensive Survey Of Language Modelling Paradigm Adaptations In Recommender Systems (2023) • Transactions of the Association for Computational Linguistics • 69 citations
  Peng Liu, Lemei Zhang, Jon Atle Gulla
• Summary Of Chatgpt-related Research And Perspective Towards The Future Of Large Language Models (2023) • Meta-Radiology • 620 citations
  Liu et al.
• Trustworthy Llms: A Survey And Guideline For Evaluating Large Language Models' Alignment (2023) • No Venue
  Liu et al.
• End-to-end Task-oriented Dialogue: A Survey Of Tasks, Methods, And Future Directions (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Qin et al.
• Assessing The Ability Of Chatgpt To Screen Articles For Systematic Reviews (2023) • Journal of Computer Languages • 38 citations
  Eugene Syriani, Istvan David, Gauransh Kumar
• Automating Question Generation From Educational Text (2023) • Lecture Notes in Computer Science • 19 citations
  Bhowmick et al.
• Renaissance: A Survey Into AI Text-to-image Generation In The Era Of Large Model (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 24 citations
  Bie et al.
• Eight Things To Know About Large Language Models (2023) • Critical AI • 21 citations
  Samuel R. Bowman
• Vision Language Models In Autonomous Driving: A Survey And Outlook (2023) • IEEE Transactions on Intelligent Vehicles • 55 citations
  Zhou et al.
• A Comprehensive Survey Of Ai-generated Content (AIGC): A History Of Generative AI From GAN To Chatgpt (2023) • Arxiv • 394 citations
  Cao et al.
• Open Problems And Fundamental Limitations Of Reinforcement Learning From Human Feedback (2023) • No Venue
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• Creativity Support In The Age Of Large Language Models: An Empirical Study Involving Emerging Writers (2023) • C&C '24: Creativity and Cognition • 33 citations
  Chakrabarty et al.
• The AI Generation Gap: Are Gen Z Students More Interested In Adopting Generative AI Such As Chatgpt In Teaching And Learning Than Their Gen X And Millennial Generation Teachers? (2023) • Smart Learning Environments • 416 citations
  Cecilia Ka Yuk Chan, Katherine K. W. Lee
• Students' Voices On Generative AI: Perceptions, Benefits, And Challenges In Higher Education (2023) • International Journal of Educational Technology in Higher Education • 1157 citations
  Cecilia Ka Yuk Chan, Wenjie Hu
• A Survey On Evaluation Of Large Language Models (2023) • No Venue
  Chang et al.
• Language Model Behavior: A Comprehensive Survey (2023) • Computational Linguistics • 57 citations
  Tyler A. Chang, Benjamin K. Bergen
• When Do You Need Chain-of-thought Prompting For Chatgpt? (2023) • Arxiv • 17 citations
  Chen et al.
• Automating Code-related Tasks Through Transformers: The Impact Of Pre-training (2023) • 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) • 14 citations
  Rosalia Tufano, Luca Pascarella, Gabriele Bavota
• The Rise And Potential Of Large Language Model Based Agents: A Survey (2023) • Science China Information Sciences • 252 citations
  Xi et al.
• A Survey Of AI Text-to-image And AI Text-to-video Generators (2023) • 2023 4th International Conference on Artificial Intelligence, Robotics and Control (AIRC) • 37 citations
  Aditi Singh
• How To Bridge The Gap Between Modalities: Survey On Multimodal Large Language Model (2023) • IEEE Transactions on Knowledge and Data Engineering • 13 citations
  Song et al.
• Factool: Factuality Detection In Generative AI -- A Tool Augmented Framework For Multi-task And Multi-domain Scenarios (2023) • Arxiv • 25 citations
  Chern et al.
• Navigate Through Enigmatic Labyrinth A Survey Of Chain Of Thought Reasoning: Advances, Frontiers And Future (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 29 citations
  Chu et al.
• Vision-language Models For Vision Tasks: A Survey (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 502 citations
  Zhang et al.
• Unifying The Perspectives Of NLP And Software Engineering: A Survey On Language Models For Code (2023) • No Venue
  Zhang et al.
• Text-to-image Diffusion Models In Generative AI: A Survey (2023) • Arxiv • 73 citations
  Zhang et al.
• Siren's Song In The AI Ocean: A Survey On Hallucination In Large Language Models (2023) • Computational Linguistics • 76 citations
  Zhang et al.
• Students' Perceptions And Preferences Of Generative Artificial Intelligence Feedback For Programming (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 25 citations
  Zhang et al.
• A Survey On Multimodal Large Language Models For Autonomous Driving (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) • 236 citations
  Cui et al.
• Llm-in-the-loop: Leveraging Large Language Model For Thematic Analysis (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 43 citations
  Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku
• Visual Question Answering: A Survey On Techniques And Common Trends In Recent Literature (2023) • Arxiv • 10 citations
  Faria et al.
• Instruction Tuning For Large Language Models: A Survey (2023) • ACM Computing Surveys • 19 citations
  Zhang et al.
• A Survey On Proactive Dialogue Systems: Problems, Methods, And Prospects (2023) • Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23} • 21 citations
  Deng et al.
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  Zhang et al.
• Cultural Bias And Cultural Alignment Of Large Language Models (2023) • PNAS Nexus • 148 citations
  Tao et al.
• Large Language Models For Information Retrieval: A Survey (2023) • ACM Transactions on Information Systems • 25 citations
  Zhu et al.
• Multimodal Large Language Models: A Survey (2023) • 2023 IEEE International Conference on Big Data (BigData) • 162 citations
  Wu et al.
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  Felkner et al.
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  Fernandes et al.
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  Firoozi et al.
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  Irene S. Gabashvili
• Bias And Fairness In Large Language Models: A Survey (2023) • Computational Linguistics • 322 citations
  Gallegos et al.
• Retrieval-augmented Generation For Large Language Models: A Survey (2023) • Arxiv • 13 citations
  Gao et al.
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  Hamid Shamszare, Avishek Choudhury
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  Geng et al.
• Evaluating Generative Ad Hoc Information Retrieval (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 14 citations
  Gienapp et al.
• Learning From Models Beyond Fine-tuning (2023) • Nature Machine Intelligence • 36 citations
  Zheng et al.
• A Survey Of Generative AI Applications (2023) • Arxiv • 25 citations
  Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán
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  Gu et al.
• A Survey On Llm-generated Text Detection: Necessity, Methods, And Future Directions (2023) • Computational Linguistics • 81 citations
  Wu et al.
• Rationalization For Explainable NLP: A Survey (2023) • Frontiers in Artificial Intelligence • 39 citations
  Gurrapu et al.
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  Haensch et al.
• A Survey Of Large Language Models For Healthcare: From Data, Technology, And Applications To Accountability And Ethics (2023) • Arxiv • 52 citations
  He et al.
• A Survey On Model Compression For Large Language Models (2023) • Transactions of the Association for Computational Linguistics • 107 citations
  Zhu et al.
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  Zhao et al.
• A Survey On Hallucination In Large Language Models: Principles, Taxonomy, Challenges, And Open Questions (2023) • ACM Transactions on Information Systems • 852 citations
  Huang et al.
• Opportunities And Challenges For Chatgpt And Large Language Models In Biomedicine And Health (2023) • Briefings in Bioinformatics • 257 citations
  Tian et al.
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  Eunjeong Hwang, Bodhisattwa Prasad Majumder, Niket Tandon
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  Nanna Inie, Jeanette Falk, Steven Tanimoto
• Perception, Performance, And Detectability Of Conversational Artificial Intelligence Across 32 University Courses (2023) • Scientific Reports • 110 citations
  Ibrahim et al.
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  Ishmam et al.
• Co-writing With Opinionated Language Models Affects Users' Views (2023) • CHI '23: CHI Conference on Human Factors in Computing Systems • 158 citations
  Jakesch et al.
• Language Models In Molecular Discovery (2023) • No Venue
  Janakarajan et al.
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  Zhou et al.
• Large Language Models On Graphs: A Comprehensive Survey (2023) • IEEE Transactions on Knowledge and Data Engineering • 61 citations
  Jin et al.
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  Wang et al.
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  Joshi et al.
• Challenges And Applications Of Large Language Models (2023) • No Venue
  Kaddour et al.
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  Katikapalli Subramanyam Kalyan
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  Kumar et al.
• Multi-hop Question Answering (2022) • Arxiv • 18 citations
  Vaibhav Mavi, Anubhav Jangra, Adam Jatowt
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  Zhao et al.
• State-of-the-art In Open-domain Conversational AI: A Survey (2022) • Information • 11 citations
  Tosin Adewumi, Foteini Liwicki, Marcus Liwicki
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  Niu et al.
• Recent Advances In Neural Text Generation: A Task-agnostic Survey (2022) • Arxiv • 11 citations
  Chen Tang, Frank Guerin, Chenghua Lin
• Language Models As Agent Models (2022) • Findings of the Association for Computational Linguistics: EMNLP 2022 • 49 citations
  Jacob Andreas
• Out Of One, Many: Using Language Models To Simulate Human Samples (2022) • Political Analysis • 396 citations
  Argyle et al.
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  Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
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  Canwen Xu, Julian McAuley
• Commonsense Knowledge Reasoning And Generation With Pre-trained Language Models: A Survey (2022) • Proceedings of the AAAI Conference on Artificial Intelligence • 34 citations
  Prajjwal Bhargava, Vincent Ng
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  Blagec et al.
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  Anirudh Sundar, Larry Heck
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  Long et al.
• Modern Question Answering Datasets And Benchmarks: A Survey (2022) • Arxiv • 14 citations
  Zhen Wang
• A Survey On Knowledge-enhanced Pre-trained Language Models (2022) • IEEE Transactions on Knowledge and Data Engineering • 123 citations
  Zhen et al.
• A Literature Survey Of Recent Advances In Chatbots (2022) • Information • 381 citations
  Guendalina Caldarini, Sardar Jaf, Kenneth McGarry
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  Qiao et al.
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  Ngo et al.
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  K. et al.
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  Li et al.
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  Léo Jacqmin, Lina M. Rojas-Barahona, Benoit Favre
• Survey Of Hallucination In Natural Language Generation (2022) • ACM Computing Surveys • 2663 citations
  Ji et al.
• The Debate Over Understanding In Ai's Large Language Models (2022) • Proceedings of the National Academy of Sciences • 210 citations
  Melanie Mitchell, David C. Krakauer
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  Mareike Hartmann, Daniel Sonntag
• Large Language Models Meet Nl2code: A Survey (2022) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 92 citations
  Zan et al.
• TRUE: Re-evaluating Factual Consistency Evaluation (2022) • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies • 30 citations
  Honovich et al.
• On The Explainability Of Natural Language Processing Deep Models (2022) • ACM Computing Surveys • 93 citations
  Julia El Zini, Mariette Awad
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  Aleksandr Petrov, Craig MacDonald
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Training Techniques 653 papers #

• Beyond Hard Masks: Progressive Token Evolution For Diffusion Language Models (2026) • No Venue
  Zhong et al.
• Plenoptic Video Generation (2026) • No Venue
  Fu et al.
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  Han et al.
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  Liu et al.
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  Lu et al.
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  Max Ruiz Luyten, Mihaela van Der Schaar
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  Page et al.
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  Sirichotedumrong et al.
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  Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras
• Reasoning Like An Economist: Post-training On Economic Problems Induces Strategic Generalization In Llms (2025) • No Venue
  Zhou et al.
• Fone: Precise Single-token Number Embeddings Via Fourier Features (2025) • No Venue
  Zhou et al.
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  Zhou et al.
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  Zhou et al.
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  Zhao et al.
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  Zhao et al.
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  Zhao et al.
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  Zhao et al.
• Ultravico: Breaking Extrapolation Limits In Video Diffusion Transformers (2025) • No Venue
  Zhao et al.
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  Zheng et al.
• Multimodal Spatial Reasoning In The Large Model Era: A Survey And Benchmarks (2025) • No Venue
  Zheng et al.
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  Ye et al.
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  Tian Ye, Song Fei, Lei Zhu
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  Ye et al.
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  Yi et al.
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  Yin et al.
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  Yu et al.
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  Yu et al.
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  Yu et al.
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  Yu et al.
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  Yuan et al.
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  Yuan et al.
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  Yue et al.
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  Yun et al.
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
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  Zhang et al.
• Interactive Training: Feedback-driven Neural Network Optimization (2025) • No Venue
  Wentao Zhang, Yang Young Lu, Yuntian Deng
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  Zhang et al.
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  Zhang et al.
• Videorepa: Learning Physics For Video Generation Through Relational Alignment With Foundation Models (2025) • No Venue
  Zhang et al.
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  Zou et al.
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  Zayd M. K. Zuhri, Erland Hilman Fuadi, Alham Fikri Aji
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  Altıntaş et al.
• LFM2 Technical Report (2025) • No Venue
  Amini et al.
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  Alan Arazi, Eilam Shapira, Roi Reichart
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  Assran et al.
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  Bai et al.
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  Cai et al.
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  Cao et al.
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  Castro et al.
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  Charles et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
• Humo: Human-centric Video Generation Via Collaborative Multi-modal Conditioning (2025) • No Venue
  Chen et al.
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  Chen et al.
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  Chen et al.
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  Chen et al.
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  Cheng et al.
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  Chu et al.
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  Chuang et al.
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  Dash et al.
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  Dragunov et al.
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  Douillard et al.
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  Du et al.
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  Fang et al.
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  Benjamin Feuer, Chinmay Hegde
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  Filatov et al.
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  Fu et al.
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  Gallego-Feliciano et al.
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  Ghosh et al.
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  Goel et al.
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• Query Performance Prediction: From Ad-hoc To Conversational Search (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 25 citations
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• LIQUID: A Framework For List Question Answering Dataset Generation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
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• OWQ: Outlier-aware Weight Quantization For Efficient Fine-tuning And Inference Of Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 29 citations
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• Ernetcl: A Novel Emotion Recognition Network In Textual Conversation Based On Curriculum Learning Strategy (2023) • Knowledge-Based Systems • 11 citations
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• Llara: Large Language-recommendation Assistant (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 54 citations
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• Code Execution With Pre-trained Language Models (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 17 citations
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• Visual Instruction Tuning (2023) • Arxiv • 666 citations
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• Vid2seq: Large-scale Pretraining Of A Visual Language Model For Dense Video Captioning (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 190 citations
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• Reducing Barriers To Self-supervised Learning: Hubert Pre-training With Academic Compute (2023) • INTERSPEECH 2023 • 16 citations
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• Mixspeech: Cross-modality Self-learning With Audio-visual Stream Mixup For Visual Speech Translation And Recognition (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 12 citations
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• Optimus-cc: Efficient Large NLP Model Training With 3D Parallelism Aware Communication Compression (2023) • Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 • 28 citations
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• KD-DLGAN: Data Limited Image Generation Via Knowledge Distillation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 19 citations
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• Optimizing Distributed Training On Frontier For Large Language Models (2023) • ISC High Performance 2024 Research Paper Proceedings (39th International Conference) • 13 citations
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• Can I Trust Your Answer? Visually Grounded Video Question Answering (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
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• Distilling Large Language Models For Biomedical Knowledge Extraction: A Case Study On Adverse Drug Events (2023) • No Venue
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• A Survey On Llm-generated Text Detection: Necessity, Methods, And Future Directions (2023) • Computational Linguistics • 81 citations
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• Scaling Up And Distilling Down: Language-guided Robot Skill Acquisition (2023) • No Venue
  Huy Ha, Pete Florence, Shuran Song
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  Hong et al.
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  Sanghi et al.
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  Chen et al.
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  Mudigere et al.
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  Nuo Chen, Chenyu You, Yuexian Zou
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  Dai et al.
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• Multitask Prompted Training Enables Zero-shot Task Generalization (2021) • Arxiv • 560 citations
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• SUPERB: Speech Processing Universal Performance Benchmark (2021) • Interspeech 2021 • 453 citations
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Uncategorized 2976 papers #

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  Zhou et al.
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  Anjanava Biswas, Wrick Talukdar
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  Giorgio Biancini, Alessio Ferrato, Carla Limongelli
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• Lment: A Suite For Analyzing Knowledge In Language Models From Pretraining Data To Representations (2025) • No Venue
  Gottesman et al.
• AI Literacy In K-12 And Higher Education In The Wake Of Generative AI: An Integrative Review (2025) • ICER 2025: ACM Conference on International Computing Education Research • 13 citations
  Xingjian Gu, Barbara J. Ericson
• Unime-v2: Mllm-as-a-judge For Universal Multimodal Embedding Learning (2025) • No Venue
  Gu et al.
• Attributes As Textual Genes: Leveraging Llms As Genetic Algorithm Simulators For Conditional Synthetic Data Generation (2025) • No Venue
  Guangzeng Han, Weisi Liu, Xiaolei Huang
• MAGA: Massive Genre-audience Reformulation To Pretraining Corpus Expansion (2025) • No Venue
  Xintong Hao, Ke Shen, Chenggang Li
• Mesatask: Towards Task-driven Tabletop Scene Generation Via 3D Spatial Reasoning (2025) • No Venue
  Hao et al.
• Generative Artificial Intelligence: Implications For Biomedical And Health Professions Education (2025) • Annual Review of Biomedical Data Science • 10 citations
  William Hersh
• We Can't Understand AI Using Our Existing Vocabulary (2025) • No Venue
  John Hewitt, Robert Geirhos, Been Kim
• Dynaguard: A Dynamic Guardrail Model With User-defined Policies (2025) • No Venue
  Hoover et al.
• The Imitation Game: Turing Machine Imitator Is Length Generalizable Reasoner (2025) • No Venue
  Hua et al.
• Draco: Draft As Cot For Text-to-image Preview And Rare Concept Generation (2025) • No Venue
  Jiang et al.
• Megatts 3: Sparse Alignment Enhanced Latent Diffusion Transformer For Zero-shot Speech Synthesis (2025) • No Venue
  Jiang et al.
• On The Role Of Discreteness In Diffusion Llms (2025) • No Venue
  Jin et al.
• When Life Gives You Samples: The Benefits Of Scaling Up Inference Compute For Multilingual Llms (2025) • No Venue
  Khairi et al.
• Ethics Of Generative AI And Manipulation: A Design-oriented Research Agenda (2025) • Ethics and Information Technology • 28 citations
  Michael Klenk
• The Ethics Of Generative AI (2025) • Journal of Medical Ethics • 106 citations
  Michael Klenk
• Governing AI Agents (2025) • SSRN Electronic Journal • 20 citations
  Noam Kolt
• Curie: Toward Rigorous And Automated Scientific Experimentation With AI Agents (2025) • No Venue
  Kon et al.
• Heeding The Inner Voice: Aligning Controlnet Training Via Intermediate Features Feedback (2025) • No Venue
  Konovalova et al.
• World Modeling With Probabilistic Structure Integration (2025) • No Venue
  Kotar et al.
• The Principles Of Diffusion Models (2025) • No Venue
  Lai et al.
• Manipulation As In Simulation: Enabling Accurate Geometry Perception In Robots (2025) • No Venue
  Liu et al.
• Analysing Chain Of Thought Dynamics: Active Guidance Or Unfaithful Post-hoc Rationalisation? (2025) • No Venue
  Lewis-Lim et al.
• Back To Basics: Let Denoising Generative Models Denoise (2025) • No Venue
  Tianhong Li, Kaiming He
• Coig-writer: A High-quality Dataset For Chinese Creative Writing With Thought Processes (2025) • No Venue
  Li et al.
• Generative AI For Self-adaptive Systems: State Of The Art And Research Roadmap (2025) • ACM Transactions on Autonomous and Adaptive Systems • 40 citations
  Li et al.
• Seek In The Dark: Reasoning Via Test-time Instance-level Policy Gradient In Latent Space (2025) • No Venue
  Li et al.
• Temporal Preference Optimization For Long-form Video Understanding (2025) • No Venue
  Li et al.
• Gencompositor: Generative Video Compositing With Diffusion Transformer (2025) • No Venue
  Yang et al.
• SAKE: Towards Editing Auditory Attribute Knowledge Of Large Audio-language Models (2025) • No Venue
  Yang et al.
• 4D-RGPT: Toward Region-level 4D Understanding Via Perceptual Distillation (2025) • No Venue
  Yang et al.
• STAR: Spatial-temporal Augmentation With Text-to-video Models For Real-world Video Super-resolution (2025) • No Venue
  Xie et al.
• CAST: Component-aligned 3D Scene Reconstruction From An RGB Image (2025) • No Venue
  Yao et al.
• Deepseek-r1 Outperforms Gemini 2.0 Pro, Openai O1, And O3-mini In Bilingual Complex Ophthalmology Reasoning (2025) • Advances in Ophthalmology Practice and Research • 19 citations
  Xu et al.
• Assessing Consistency And Reproducibility In The Outputs Of Large Language Models: Evidence Across Diverse Finance And Accounting Tasks (2025) • Arxiv • 10 citations
  Julian Junyan Wang, Victor Xiaoqi Wang
• Cinemaster: A 3d-aware And Controllable Framework For Cinematic Text-to-video Generation (2025) • No Venue
  Wang et al.
• Fg-t2m++: Llms-augmented Fine-grained Text Driven Human Motion Generation (2025) • International Journal of Computer Vision • 22 citations
  Wang et al.
• Fantasytalking: Realistic Talking Portrait Generation Via Coherent Motion Synthesis (2025) • No Venue
  Wang et al.
• GPT-IMAGE-EDIT-1.5M: A Million-scale, Gpt-generated Image Dataset (2025) • No Venue
  Wang et al.
• Scoreflow: Mastering LLM Agent Workflows Via Score-based Preference Optimization (2025) • No Venue
  Wang et al.
• Video Models Are Zero-shot Learners And Reasoners (2025) • No Venue
  Wiedemer et al.
• Shifting Long-context Llms Research From Input To Output (2025) • No Venue
  Wu et al.
• Naturelm: Deciphering The Language Of Nature For Scientific Discovery (2025) • No Venue
  Xia et al.
• Streaming Video Instruction Tuning (2025) • No Venue
  Xia et al.
• Olmo 3 (2025) • No Venue
  Olmo et al.
• Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information (2025) • No Venue
  Park et al.
• Presumed Cultural Identity: How Names Shape LLM Responses (2025) • No Venue
  Pawar et al.
• Unveiling Intrinsic Dimension Of Texts: From Academic Abstract To Creative Story (2025) • No Venue
  Pedashenko et al.
• Pico-banana-400k: A Large-scale Dataset For Text-guided Image Editing (2025) • No Venue
  Qian et al.
• OWSM V4: Improving Open Whisper-style Speech Models Via Data Scaling And Cleaning (2025) • No Venue
  Peng et al.
• Generalization Bias In Large Language Model Summarization Of Scientific Research (2025) • Royal Society Open Science • 33 citations
  Uwe Peters, Benjamin Chin-Yee
• CLIPPER: Compression Enables Long-context Synthetic Data Generation (2025) • No Venue
  Chau Minh Pham, Yapei Chang, Mohit Iyyer
• Exploring The Capabilities And Limitations Of Large Language Models For Radiation Oncology Decision Support (2025) • International Journal of Radiation Oncology*Biology*Physics • 10 citations
  Putz et al.
• Building Foundations For Natural Language Processing Of Historical Turkish: Resources And Models (2025) • No Venue
  Özateş et al.
• Guidance In The Frequency Domain Enables High-fidelity Sampling At Low CFG Scales (2025) • No Venue
  Sadat et al.
• Geopolitical Biases In Llms: What Are The "good" And The "bad" Countries According To Contemporary Language Models (2025) • No Venue
  Salnikov et al.
• Flowmo: Variance-based Flow Guidance For Coherent Motion In Video Generation (2025) • No Venue
  Shaulov et al.
• Fedconv: A Learning-on-model Paradigm For Heterogeneous Federated Clients (2025) • MOBISYS '24: 22nd Annual International Conference on Mobile Systems, Applications and Services • 22 citations
  Shen et al.
• The Illusion Of Diminishing Returns: Measuring Long Horizon Execution In Llms (2025) • No Venue
  Sinha et al.
• Beyond Release: Access Considerations For Generative AI Systems (2025) • No Venue
  Solaiman et al.
• Progco: Program Helps Self-correction Of Large Language Models (2025) • No Venue
  Song et al.
• Stabletoken: A Noise-robust Semantic Speech Tokenizer For Resilient Speechllms (2025) • No Venue
  Song et al.
• From Virtual Games To Real-world Play (2025) • No Venue
  Sun et al.
• Revisiting Long-context Modeling From Context Denoising Perspective (2025) • No Venue
  Tang et al.
• Step-audio-r1 Technical Report (2025) • No Venue
  Tian et al.
• Training-free Watermarking For Autoregressive Image Generation (2025) • No Venue
  Tong et al.
• Triposg: High-fidelity 3D Shape Synthesis Using Large-scale Rectified Flow Models (2025) • No Venue
  Li et al.
• Understanding The Thinking Process Of Reasoning Models: A Perspective From Schoenfeld's Episode Theory (2025) • No Venue
  Li et al.
• Hocomp: Interaction-aware Human-object Composition (2025) • No Venue
  Liang et al.
• Mmsi-video-bench: A Holistic Benchmark For Video-based Spatial Intelligence (2025) • No Venue
  Lin et al.
• A Cartography Of Open Collaboration In Open Source AI: Mapping Practices, Motivations, And Governance In 14 Open Large Language Model Projects (2025) • No Venue
  Linåker et al.
• Foundation Models For Scientific Discovery: From Paradigm Enhancement To Paradigm Transition (2025) • No Venue
  Liu et al.
• Phantom: Subject-consistent Video Generation Via Cross-modal Alignment (2025) • No Venue
  Liu et al.
• Shape-for-motion: Precise And Consistent Video Editing With 3D Proxy (2025) • No Venue
  Liu et al.
• Videoreasonbench: Can Mllms Perform Vision-centric Complex Video Reasoning? (2025) • No Venue
  Liu et al.
• Visual Embodied Brain: Let Multimodal Large Language Models See, Think, And Control In Spaces (2025) • No Venue
  Luo et al.
• Cot-valve: Length-compressible Chain-of-thought Tuning (2025) • No Venue
  Ma et al.
• Feedforward 3D Editing Via Text-steerable Image-to-3d (2025) • No Venue
  Ma et al.
• Expressing Stigma And Inappropriate Responses Prevents Llms From Safely Replacing Mental Health Providers (2025) • FAccT '25: The 2025 ACM Conference on Fairness, Accountability, and Transparency • 46 citations
  Moore et al.
• Self-reflective Generation At Test Time (2025) • No Venue
  Mu et al.
• Streamvoice: Streamable Context-aware Language Modeling For Real-time Zero-shot Voice Conversion (2024) • No Venue
  Wang et al.
• Stableidentity: Inserting Anybody Into Anywhere At First Sight (2024) • No Venue
  Wang et al.
• Storyverse: Towards Co-authoring Dynamic Plot With Llm-based Character Simulation Via Narrative Planning (2024) • FDG 2024: Foundations of Digital Games • 13 citations
  Yi Wang, Qian Zhou, David Ledo
• Rethinking The Bounds Of LLM Reasoning: Are Multi-agent Discussions The Key? (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 25 citations
  Wang et al.
• Macrec: A Multi-agent Collaboration Framework For Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 18 citations
  Wang et al.
• Locllm: Exploiting Generalizable Human Keypoint Localization Via Large Language Model (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Dongkai Wang, Shiyu Xuan, Shiliang Zhang
• Image Copy Detection For Diffusion Models (2024) • No Venue
  Wang et al.
• G-VOILA: Gaze-facilitated Information Querying In Daily Scenarios (2024) • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies • 13 citations
  Wang et al.
• Drt-o1: Optimized Deep Reasoning Translation Via Long Chain-of-thought (2024) • No Venue
  Wang et al.
• ALPINE: Unveiling The Planning Capability Of Autoregressive Learning In Language Models (2024) • No Venue
  Wang et al.
• Ain't Misbehavin' -- Using Llms To Generate Expressive Robot Behavior In Conversations With The Tabletop Robot Haru (2024) • HRI '24: ACM/IEEE International Conference on Human-Robot Interaction • 12 citations
  Wang et al.
• Enhancing Cloud-based Large Language Model Processing With Elasticsearch And Transformer Models (2024) • International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024) • 15 citations
  Ni et al.
• Generative AI In EU Law: Liability, Privacy, Intellectual Property, And Cybersecurity (2024) • Arxiv • 47 citations
  Novelli et al.
• Styloai: Distinguishing Ai-generated Content With Stylometric Analysis (2024) • Communications in Computer and Information Science • 15 citations
  Chidimma Opara
• Emerging Opportunities Of Using Large Language Models For Translation Between Drug Molecules And Indications (2024) • Scientific Reports • 17 citations
  Oniani et al.
• I2vedit: First-frame-guided Video Editing Via Image-to-video Diffusion Models (2024) • No Venue
  Ouyang et al.
• On The Prospects Of Incorporating Large Language Models (llms) In Automated Planning And Scheduling (APS) (2024) • Proceedings of the International Conference on Automated Planning and Scheduling • 22 citations
  Pallagani et al.
• Iterative Reasoning Preference Optimization (2024) • No Venue
  Pang et al.
• Λ-eclipse: Multi-concept Personalized Text-to-image Diffusion Models By Leveraging CLIP Latent Space (2024) • No Venue
  Patel et al.
• Pre-training Distillation For Large Language Models: A Design Space Exploration (2024) • No Venue
  Peng et al.
• Player-driven Emergence In Llm-driven Game Narrative (2024) • 2024 IEEE Conference on Games (CoG) • 14 citations
  Peng et al.
• Genai Detection Tools, Adversarial Techniques And Implications For Inclusivity In Higher Education (2024) • International Journal of Educational Technology in Higher Education • 39 citations
  Perkins et al.
• When Search Engine Services Meet Large Language Models: Visions And Challenges (2024) • IEEE Transactions on Services Computing • 36 citations
  Xiong et al.
• Tokenflow: Unified Image Tokenizer For Multimodal Understanding And Generation (2024) • No Venue
  Qu et al.
• Chatvtg: Video Temporal Grounding Via Chat With Video Dialogue Large Language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 12 citations
  Qu et al.
• Mupt: A Generative Symbolic Music Pretrained Transformer (2024) • No Venue
  Qu et al.
• XPSR: Cross-modal Priors For Diffusion-based Image Super-resolution (2024) • Lecture Notes in Computer Science • 15 citations
  Qu et al.
• Roberta-bilstm: A Context-aware Hybrid Model For Sentiment Analysis (2024) • IEEE Transactions on Emerging Topics in Computational Intelligence • 27 citations
  Rahman et al.
• Matchtime: Towards Automatic Soccer Game Commentary Generation (2024) • No Venue
  Rao et al.
• FAIR Enough: How Can We Develop And Assess A Fair-compliant Dataset For Large Language Models' Training? (2024) • Data Intelligence • 15 citations
  Raza et al.
• Do Llms Write Like Humans? Variation In Grammatical And Rhetorical Styles (2024) • Proceedings of the National Academy of Sciences • 16 citations
  Reinhart et al.
• PURPLE: Making A Large Language Model A Better SQL Writer (2024) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 36 citations
  Ren et al.
• Large Language Models Are Biased Because They Are Large Language Models (2024) • Computational Linguistics • 11 citations
  Philip Resnik
• Escalation Risks From Language Models In Military And Diplomatic Decision-making (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 27 citations
  Rivera et al.
• Whisper-flamingo: Integrating Visual Features Into Whisper For Audio-visual Speech Recognition And Translation (2024) • Interspeech 2024 • 16 citations
  Rouditchenko et al.
• Depression And Anxiety Prediction Using Deep Language Models And Transfer Learning (2024) • 2020 7th International Conference on Behavioural and Social Computing (BESC) • 16 citations
  Rutowski et al.
• On Large Visual Language Models For Medical Imaging Analysis: An Empirical Study (2024) • 2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) • 37 citations
  Minh-Hao van, Prateek Verma, Xintao Wu
• DELL: Generating Reactions And Explanations For Llm-based Misinformation Detection (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 31 citations
  Wan et al.
• Imagining A Future Of Designing With AI: Dynamic Grounding, Constructive Negotiation, And Sustainable Motivation (2024) • DIS '24: Designing Interactive Systems Conference • 22 citations
  Priyan Vaithilingam, Ian Arawjo, Elena L. Glassman
• Theory Of Mind Abilities Of Large Language Models In Human-robot Interaction : An Illusion? (2024) • HRI '24: ACM/IEEE International Conference on Human-Robot Interaction • 14 citations
  Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati
• A Shocking Amount Of The Web Is Machine Translated: Insights From Multi-way Parallelism (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 14 citations
  Thompson et al.
• Are Large Language Models Capable Of Generating Human-level Narratives? (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Tian et al.
• MMREC: LLM Based Multi-modal Recommender System (2024) • 2024 19th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP) • 14 citations
  Tian et al.
• The Impact And Opportunities Of Generative AI In Fact-checking (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 19 citations
  Robert Wolfe, Tanushree Mitra
• Continuous Speech Synthesis Using Per-token Latent Diffusion (2024) • No Venue
  Turetzky et al.
• An Explainable Transformer-based Model For Phishing Email Detection: A Large Language Model Approach (2024) • Arxiv • 17 citations
  Mohammad Amaz Uddin, Md Mahiuddin, Iqbal H. Sarker
• Integrating AI In College Education: Positive Yet Mixed Experiences With Chatgpt (2024) • Meta-Radiology • 10 citations
  Song et al.
• Viassist: Adapting Multi-modal Large Language Models For Users With Visual Impairments (2024) • 2024 IEEE International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys) • 21 citations
  Yang et al.
• Social Skill Training With Large Language Models (2024) • No Venue
  Yang et al.
• Mala-asr: Multimedia-assisted Llm-based ASR (2024) • Interspeech 2024 • 11 citations
  Yang et al.
• Open-world Human-object Interaction Detection Via Multi-modal Prompts (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Yang et al.
• Modifying AI, Enhancing Essays: How Active Engagement With Generative AI Boosts Writing Quality (2024) • LAK '25: The 15th International Learning Analytics and Knowledge Conference • 12 citations
  Yang et al.
• Item-language Model For Conversational Recommendation (2024) • No Venue
  Yang et al.
• Autoregressive Model Beats Diffusion: Llama For Scalable Image Generation (2024) • No Venue
  Sun et al.
• Confabulation: The Surprising Value Of Large Language Model Hallucinations (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 13 citations
  Sui et al.
• Harnessing Multi-role Capabilities Of Large Language Models For Open-domain Question Answering (2024) • WWW '24: The ACM Web Conference 2024 • 12 citations
  Sun et al.
• Clinicalmamba: A Generative Clinical Language Model On Longitudinal Clinical Notes (2024) • Proceedings of the 6th Clinical Natural Language Processing Workshop • 11 citations
  Yang et al.
• Multitalk: Enhancing 3D Talking Head Generation Across Languages With Multilingual Video Dataset (2024) • Interspeech 2024 • 10 citations
  Sung-Bin et al.
• Tablebench: A Comprehensive And Complex Benchmark For Table Question Answering (2024) • No Venue
  Wu et al.
• Transfer Learning In Pre-trained Large Language Models For Malware Detection Based On System Calls (2024) • MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM) • 16 citations
  Sánchez et al.
• GPT-4 Emulates Average-human Emotional Cognition From A Third-person Perspective (2024) • 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII) • 10 citations
  Ala N. Tak, Jonathan Gratch
• Koala: Key Frame-conditioned Long Video-llm (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Tan et al.
• Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When And What To Retrieve For Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Tan et al.
• Instructdoc: A Dataset For Zero-shot Generalization Of Visual Document Understanding With Instructions (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Tanaka et al.
• Jill Watson: A Virtual Teaching Assistant Powered By Chatgpt (2024) • Lecture Notes in Computer Science • 30 citations
  Taneja et al.
• Improving ASR Contextual Biasing With Guided Attention (2024) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Tang et al.
• Fiva: Fine-grained Visual Attribute Dataset For Text-to-image Diffusion Models (2024) • No Venue
  Wu et al.
• Artist: Automated Text Simplification For Task Guidance In Augmented Reality (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 14 citations
  Wu et al.
• A Comparative Study On Reasoning Patterns Of Openai's O1 Model (2024) • No Venue
  Wu et al.
• Deep Learning Model Reuse In The Huggingface Community: Challenges, Benefit And Trends (2024) • 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) • 15 citations
  Taraghi et al.
• Can Large Language Models Understand Molecules? (2024) • BMC Bioinformatics • 29 citations
  Sadeghi et al.
• Integrating Generative AI In Hackathons: Opportunities, Challenges, And Educational Implications (2024) • Big Data and Cognitive Computing • 11 citations
  Sajja et al.
• MMAU: A Massive Multi-task Audio Understanding And Reasoning Benchmark (2024) • No Venue
  Sakshi et al.
• A Linguistic Comparison Between Human And Chatgpt-generated Conversations (2024) • Lecture Notes in Computer Science • 10 citations
  Sandler et al.
• Towards Retrieval-augmented Architectures For Image Captioning (2024) • ACM Transactions on Multimedia Computing, Communications, and Applications • 15 citations
  Sarto et al.
• Tokenization Is More Than Compression (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Schmidt et al.
• Ai-augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy (2024) • ACM Transactions on Interactive Intelligent Systems • 12 citations
  Schoenegger et al.
• Wisdom Of The Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy (2024) • Science Advances • 18 citations
  Schoenegger et al.
• Generative Echo Chamber? Effects Of Llm-powered Search Systems On Diverse Information Seeking (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 58 citations
  Nikhil Sharma, Q. Vera Liao, Ziang Xiao
• LLM Experiments With Simulation: Large Language Model Multi-agent System For Simulation Model Parametrization In Digital Twins (2024) • 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) • 16 citations
  Xia et al.
• PMG : Personalized Multimodal Generation With Large Language Models (2024) • WWW '24: The ACM Web Conference 2024 • 22 citations
  Shen et al.
• Beam Prediction Based On Large Language Models (2024) • IEEE Wireless Communications Letters • 23 citations
  Sheng et al.
• Generate-on-graph: Treat LLM As Both Agent And KG In Incomplete Knowledge Graph Question Answering (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Xu et al.
• Untangling Critical Interaction With AI In Students Written Assessment (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 19 citations
  Shibani et al.
• Llm-jp: A Cross-organizational Project For The Research And Development Of Fully Open Japanese Llms (2024) • No Venue
  Llm-Jp et al.
• Takin: A Cohort Of Superior Quality Zero-shot Speech Generation Models (2024) • No Venue
  Everestai et al.
• Honeycomb: A Flexible Llm-based Agent System For Materials Science (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 18 citations
  Zhang et al.
• Scanreason: Empowering 3D Visual Grounding With Reasoning Capabilities (2024) • Lecture Notes in Computer Science • 10 citations
  Zhu et al.
• Scientific Hypothesis Generation By A Large Language Model: Laboratory Validation In Breast Cancer Treatment (2024) • Journal of The Royal Society Interface • 10 citations
  Abdel-Rehim et al.
• Supporting Student Decisions On Learning Recommendations: An Llm-based Chatbot With Knowledge Graph Contextualization For Conversational Explainability And Mentoring (2024) • Arxiv • 15 citations
  Abu-Rasheed et al.
• Automating Autograding: Large Language Models As Test Suite Generators For Introductory Programming (2024) • Journal of Computer Assisted Learning • 13 citations
  Umar Alkafaween, Ibrahim Albluwi, Paul Denny
• Score Distillation Sampling With Learned Manifold Corrective (2024) • No Venue
  Thiemo Alldieck, Nikos Kolotouros, Cristian Sminchisescu
• Longkey: Keyphrase Extraction For Long Documents (2024) • No Venue
  Alves et al.
• Physics In Next-token Prediction (2024) • No Venue
  Hongjun An, Yiliang Song, Xuelong Li
• All In One And One For All: A Simple Yet Effective Method Towards Cross-domain Graph Pretraining (2024) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 23 citations
  Zhao et al.
• Homogenization Effects Of Large Language Models On Human Creative Ideation (2024) • C&C '24: Creativity and Cognition • 84 citations
  Barrett R. Anderson, Jash Hemant Shah, Max Kreminski
• The Ink Splotch Effect: A Case Study On Chatgpt As A Co-creative Game Designer (2024) • FDG 2024: Foundations of Digital Games • 11 citations
  Anjum et al.
• Coaching Copilot: Blended Form Of An Llm-powered Chatbot And A Human Coach To Effectively Support Self-reflection For Leadership Growth (2024) • CUI '24: ACM Conversational User Interfaces 2024 • 23 citations
  Riku Arakawa, Hiromu Yakura
• Stable Flow: Vital Layers For Training-free Image Editing (2024) • No Venue
  Avrahami et al.
• Hybrid Reasoning Based On Large Language Models For Autonomous Car Driving (2024) • 2024 12th International Conference on Control, Mechatronics and Automation (ICCMA) • 10 citations
  Azarafza et al.
• Feedback-generation For Programming Exercises With GPT-4 (2024) • ITiCSE 2024: Innovation and Technology in Computer Science Education • 43 citations
  Imen Azaiz, Natalie Kiesler, Sven Strickroth
• TC4D: Trajectory-conditioned Text-to-4d Generation (2024) • No Venue
  Bahmani et al.
• Seed-music: A Unified Framework For High Quality And Controlled Music Generation (2024) • No Venue
  Bai et al.
• Llms Will Always Hallucinate, And We Need To Live With This (2024) • Lecture Notes in Networks and Systems • 22 citations
  Sourav Banerjee, Ayushi Agarwal, Saloni Singla
• Replaceanything3d:text-guided 3D Scene Editing With Compositional Neural Radiance Fields (2024) • No Venue
  Bartrum et al.
• Combining Insights From Multiple Large Language Models Improves Diagnostic Accuracy (2024) • NEJM AI • 15 citations
  Barabucci et al.
• Drivedreamer-2: Llm-enhanced World Models For Diverse Driving Video Generation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 24 citations
  Zhao et al.
• Tailoring Generative AI Chatbots For Multiethnic Communities In Disaster Preparedness Communication: Extending The CASA Paradigm (2024) • Journal of Computer-Mediated Communication • 14 citations
  Zhao et al.
• Xlstm: Extended Long Short-term Memory (2024) • Advances in Neural Information Processing Systems 37 • 11 citations
  Beck et al.
• RT-H: Action Hierarchies Using Language (2024) • Robotics: Science and Systems 2024 • 39 citations
  Belkhale et al.
• Large Language Models Are Zero-shot Next Location Predictors (2024) • IEEE Access • 12 citations
  Ciro Beneduce, Bruno Lepri, Massimiliano Luca
• Responding To Generative AI Technologies With Research-through-design: The Ryelands AI Lab As An Exploratory Study (2024) • DIS '24: Designing Interactive Systems Conference • 20 citations
  Benjamin et al.
• Explainability For Transparent Conversational Information-seeking (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
  Łajewska et al.
• Exploring The Efficacy Of Robotic Assistants With Chatgpt And Claude In Enhancing ADHD Therapy: Innovating Treatment Paradigms (2024) • 2024 International Conference on Intelligent Environments (IE) • 17 citations
  Berrezueta-Guzman et al.
• Taking The Next Step With Generative Artificial Intelligence: The Transformative Role Of Multimodal Large Language Models In Science Education (2024) • Learning and Individual Differences • 70 citations
  Bewersdorff et al.
• VANER: Leveraging Large Language Model For Versatile And Adaptive Biomedical Named Entity Recognition (2024) • Frontiers in Artificial Intelligence and Applications • 14 citations
  Biana et al.
• Gallerygpt: Analyzing Paintings With Large Multimodal Models (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 20 citations
  Bin et al.
• Large Models Of What? Mistaking Engineering Achievements For Human Linguistic Agency (2024) • Language Sciences • 14 citations
  Abeba Birhane, Marek McGann
• Nuner: Entity Recognition Encoder Pre-training Via Llm-annotated Data (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 22 citations
  Bogdanov et al.
• Symbolic Learning Enables Self-evolving Agents (2024) • No Venue
  Zhou et al.
• Transformers Meet Neural Algorithmic Reasoners (2024) • No Venue
  Bounsi et al.
• Pangea: Procedural Artificial Narrative Using Generative AI For Turn-based Video Games (2024) • Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment • 16 citations
  Buongiorno et al.
• DAIC-WOZ: On The Validity Of Using The Therapist's Prompts In Automatic Depression Detection From Clinical Interviews (2024) • Proceedings of the 6th Clinical Natural Language Processing Workshop • 11 citations
  Burdisso et al.
• Collage Is The New Writing: Exploring The Fragmentation Of Text And User Interfaces In AI Tools (2024) • DIS '24: Designing Interactive Systems Conference • 12 citations
  Daniel Buschek
• XTTS: A Massively Multilingual Zero-shot Text-to-speech Model (2024) • Interspeech 2024 • 65 citations
  Casanova et al.
• Analyzing The Language Of Visual Tokens (2024) • No Venue
  Chan et al.
• How Do Large Language Models Acquire Factual Knowledge During Pretraining? (2024) • No Venue
  Chang et al.
• Vrcopilot: Authoring 3D Layouts With Generative AI Models In VR (2024) • Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology • 21 citations
  Zhang et al.
• Enhancing Multimodal Understanding With Clip-based Image-to-text Transformation (2024) • ICBDT 2023: 2023 6th International Conference on Big Data Technologies • 18 citations
  Che et al.
• Axiomatic Causal Interventions For Reverse Engineering Relevance Computation In Neural Retrieval Models (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 10 citations
  Catherine Chen, Jack Merullo, Carsten Eickhoff
• Clinicalbench: Can Llms Beat Traditional ML Models In Clinical Prediction? (2024) • No Venue
  Chen et al.
• Chatscratch: An Ai-augmented System Toward Autonomous Visual Programming Learning For Children Aged 6-12 (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 34 citations
  Chen et al.
• Enabling Synergistic Full-body Control In Prompt-based Co-speech Motion Generation (2024) • Proceedings of the 32nd ACM International Conference on Multimedia • 11 citations
  Chen et al.
• Hallucination Detection: Robustly Discerning Reliable Answers In Large Language Models (2024) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 67 citations
  Chen et al.
• MS MARCO Web Search: A Large-scale Information-rich Web Dataset With Millions Of Real Click Labels (2024) • No Venue
  Chen et al.
• SATO: Stable Text-to-motion Framework (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 14 citations
  Chen et al.
• Sketch2nerf: Multi-view Sketch-guided Text-to-3d Generation (2024) • No Venue
  Chen et al.
• Towards Building Specialized Generalist AI With System 1 And System 2 Fusion (2024) • No Venue
  Kaiyan Zhang, Biqing Qi, Bowen Zhou
• Predicting Learning Performance With Large Language Models: A Study In Adult Literacy (2024) • Lecture Notes in Computer Science • 12 citations
  Zhang et al.
• Earthgpt: A Universal Multi-modal Large Language Model For Multi-sensor Image Comprehension In Remote Sensing Domain (2024) • IEEE Transactions on Geoscience and Remote Sensing • 95 citations
  Zhang et al.
• Leveraging Llms To Predict Affective States Via Smartphone Sensor Features (2024) • UbiComp '24: The 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing • 17 citations
  Zhang et al.
• Finerec:exploring Fine-grained Sequential Recommendation (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 16 citations
  Zhang et al.
• Chain-of-knowledge: Integrating Knowledge Reasoning Into Large Language Models By Learning From Knowledge Graphs (2024) • No Venue
  Zhang et al.
• Foleycrafter: Bring Silent Videos To Life With Lifelike And Synchronized Sounds (2024) • No Venue
  Zhang et al.
• Learning To Ask: Conversational Product Search Via Representation Learning (2024) • ACM Transactions on Information Systems • 13 citations
  Zou et al.
• Chemllm: A Chemical Large Language Model (2024) • No Venue
  Zhang et al.
• Llmservingsim: A HW/SW Co-simulation Infrastructure For LLM Inference Serving At Scale (2024) • 2024 IEEE International Symposium on Workload Characterization (IISWC) • 11 citations
  Cho et al.
• Transformer Explainer: Interactive Learning Of Text-generative Models (2024) • No Venue
  Cho et al.
• Large Language Models And User Trust: Consequence Of Self-referential Learning Loop And The Deskilling Of Healthcare Professionals (2024) • Journal of Medical Internet Research • 88 citations
  Avishek Choudhury, Zaria Chaudhry
• Teenytinyllama: Open-source Tiny Language Models Trained In Brazilian Portuguese (2024) • Machine Learning with Applications • 14 citations
  Corrêa et al.
• Large Legal Fictions: Profiling Legal Hallucinations In Large Language Models (2024) • Journal of Legal Analysis • 131 citations
  Dahl et al.
• SEE-2-SOUND: Zero-shot Spatial Environment-to-spatial Sound (2024) • No Venue
  Dagli et al.
• Automatic Detection Of Cognitive Impairment In Elderly People Using An Entertainment Chatbot With Natural Language Processing Capabilities (2024) • Journal of Ambient Intelligence and Humanized Computing • 38 citations
  Arriba-Pérez et al.
• Towards Human-centered Proactive Conversational Agents (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 24 citations
  Deng et al.
• Shaping Human-ai Collaboration: Varied Scaffolding Levels In Co-writing With Language Models (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 49 citations
  Dhillon et al.
• Openbias: Open-set Bias Detection In Text-to-image Generative Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 21 citations
  D'Incà et al.
• Holistic Autonomous Driving Understanding By Bird's-eye-view Injected Multi-modal Large Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 26 citations
  Ding et al.
• Keypoint Action Tokens Enable In-context Imitation Learning In Robotics (2024) • Robotics: Science and Systems 2024 • 18 citations
  Norman di Palo, Edward Johns
• A Tale Of Tails: Model Collapse As A Change Of Scaling Laws (2024) • No Venue
  Dohmatob et al.
• A Scoping Review Of Chatgpt Research In Accounting And Finance (2024) • International Journal of Accounting Information Systems • 50 citations
  Mengming Michael Dong, Theophanis C. Stratopoulos, Victor Xiaoqi Wang
• Incremental Fastpitch: Chunk-based High Quality Text To Speech (2024) • No Venue
  Muyang Du, Chuan Liu, Junjie Lai
• Llm-based Policy Generation For Intent-based Management Of Applications (2024) • 2023 19th International Conference on Network and Service Management (CNSM) • 59 citations
  Dzeparoska et al.
• How Teachers Can Use Large Language Models And Bloom's Taxonomy To Create Educational Quizzes (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 19 citations
  Elkins et al.
• Not All Language Model Features Are Linear (2024) • No Venue
  Engels et al.
• Metasql: A Generate-then-rank Framework For Natural Language To SQL Translation (2024) • 2024 IEEE 40th International Conference on Data Engineering (ICDE) • 12 citations
  Fan et al.
• Beware Of Metacognitive Laziness: Effects Of Generative Artificial Intelligence On Learning Motivation, Processes, And Performance (2024) • British Journal of Educational Technology • 192 citations
  Fan et al.
• Chatcell: Facilitating Single-cell Analysis With Natural Language (2024) • No Venue
  Fang et al.
• Large Language Models Are Neurosymbolic Reasoners (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Fang et al.
• Llm-ensemble: Optimal Large Language Model Ensemble Method For E-commerce Product Attribute Value Extraction (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 36 citations
  Fang et al.
• Lessons From The Use Of Natural Language Inference (NLI) In Requirements Engineering Tasks (2024) • 2024 IEEE 32nd International Requirements Engineering Conference (RE) • 11 citations
  Fazelnia et al.
• What Does The Bot Say? Opportunities And Risks Of Large Language Models In Social Media Bot Detection (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Feng et al.
• Integrating Large Language Models With Internet Of Things Applications (2024) • Discover Internet of Things • 21 citations
  Zong et al.
• VITA: Towards Open-source Interactive Omni Multimodal LLM (2024) • No Venue
  Fu et al.
• Stream Of Search (sos): Learning To Search In Language (2024) • No Venue
  Gandhi et al.
• Cantor: Inspiring Multimodal Chain-of-thought Of MLLM (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 13 citations
  Gao et al.
• Generative News Recommendation (2024) • WWW '24: The ACM Web Conference 2024 • 18 citations
  Gao et al.
• Two-stage Generative Question Answering On Temporal Knowledge Graph Using Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 13 citations
  Gao et al.
• Anygpt: Unified Multimodal LLM With Discrete Sequence Modeling (2024) • No Venue
  Zhan et al.
• Towards Flexible Perception With Visual Memory (2024) • No Venue
  Geirhos et al.
• Socially Aware Synthetic Data Generation For Suicidal Ideation Detection Using Large Language Models (2024) • IEEE Access • 45 citations
  Hamideh Ghanadian, Isar Nejadgholi, Hussein Al Osman
• Do Generative AI Models Output Harm While Representing Non-western Cultures: Evidence From A Community-centered Approach (2024) • Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society • 24 citations
  Ghosh et al.
• Llms4ol 2024 Overview: The 1st Large Language Models For Ontology Learning Challenge (2024) • Open Conference Proceedings • 10 citations
  Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer
• Identifying And Improving Disability Bias In Gpt-based Resume Screening (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 43 citations
  Glazko et al.
• Distributed Agency In Second Language Learning And Teaching Through Generative AI (2024) • Language Learning & Technology • 42 citations
  Robert Godwin-Jones
• Investigating Use Cases Of Ai-powered Scene Description Applications For Blind And Low Vision People (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 27 citations
  Gonzalez et al.
• Large Language Models And Linguistic Intentionality (2024) • Synthese • 10 citations
  Jumbly Grindrod
• Can Generative AI And Chatgpt Outperform Humans On Cognitive-demanding Problem-solving Tasks In Science? (2024) • Science & Education • 44 citations
  Xiaoming Zhai, Matthew Nyaaba, Wenchao Ma
• LLM4PM: A Case Study On Using Large Language Models For Process Modeling In Enterprise Organizations (2024) • Lecture Notes in Business Information Processing • 11 citations
  Clara Ziche, Giovanni Apruzzese
• Open-sora: Democratizing Efficient Video Production For All (2024) • Arxiv • 10 citations
  Zheng et al.
• Llm-augmented Agent-based Modelling For Social Simulations: Challenges And Opportunities (2024) • Frontiers in Artificial Intelligence and Applications • 12 citations
  Onder Gurcan
• Planning Ahead In Generative Retrieval: Guiding Autoregressive Generation Through Simultaneous Decoding (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 13 citations
  Hansi Zeng, Chen Luo, Hamed Zamani
• Clochat: Understanding How People Customize, Interact, And Experience Personas In Large Language Models (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 38 citations
  Ha et al.
• Recent Advances In Generative AI And Large Language Models: Current Status, Challenges, And Perspectives (2024) • IEEE Transactions on Artificial Intelligence • 80 citations
  Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat
• How Johnny Can Persuade Llms To Jailbreak Them: Rethinking Persuasion To Challenge AI Safety By Humanizing Llms (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 45 citations
  Zeng et al.
• Advancing Multimodal Large Language Models In Chart Question Answering With Visualization-referenced Instruction Tuning (2024) • IEEE Transactions on Visualization and Computer Graphics • 10 citations
  Zeng et al.
• Segpoint: Segment Any Point Cloud Via Large Language Model (2024) • Lecture Notes in Computer Science • 12 citations
  He et al.
• Multi-modal Instruction Tuned Llms With Fine-grained Visual Perception (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  He et al.
• The AI Companion In Education: Analyzing The Pedagogical Potential Of Chatgpt In Computer Science And Engineering (2024) • 2024 IEEE Global Engineering Education Conference (EDUCON) • 14 citations
  He et al.
• Multiply: A Multisensory Object-centric Embodied Large Language Model In 3D World (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Hong et al.
• From MOOC To MAIC: Reshaping Online Teaching And Learning Through Llm-driven Agents (2024) • No Venue
  Yu et al.
• Rhyme-aware Chinese Lyric Generator Based On GPT (2024) • Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024) • 13 citations
  Yuan et al.
• Dreamlip: Language-image Pre-training With Long Captions (2024) • Lecture Notes in Computer Science • 20 citations
  Zheng et al.
• Automated Assessment Of Encouragement And Warmth In Classrooms Leveraging Multimodal Emotional Features And Chatgpt (2024) • Lecture Notes in Computer Science • 19 citations
  Hou et al.
• ELLA: Equip Diffusion Models With LLM For Enhanced Semantic Alignment (2024) • No Venue
  Hu et al.
• Game Generation Via Large Language Models (2024) • 2024 IEEE Conference on Games (CoG) • 10 citations
  Chengpeng Hu, Yunlong Zhao, Jialin Liu
• Language Models Align With Human Judgments On Key Grammatical Constructions (2024) • Proceedings of the National Academy of Sciences • 18 citations
  Hu et al.
• Magictime: Time-lapse Video Generation Models As Metamorphic Simulators (2024) • No Venue
  Yuan et al.
• Identity-preserving Text-to-video Generation By Frequency Decomposition (2024) • No Venue
  Yuan et al.
• Aesexpert: Towards Multi-modality Foundation Model For Image Aesthetics Perception (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 20 citations
  Huang et al.
• Dual Contrastive Transformer For Hierarchical Preference Modeling In Sequential Recommendation (2024) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 11 citations
  Huang et al.
• Drivlme: Enhancing Llm-based Autonomous Driving Agents With Embodied And Social Experiences (2024) • 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 14 citations
  Huang et al.
• Large Language Model Simulator For Cold-start Recommendation (2024) • WSDM '25: The Eighteenth ACM International Conference on Web Search and Data Mining • 36 citations
  Huang et al.
• Open-vocabulary SAM: Segment And Recognize Twenty-thousand Classes Interactively (2024) • No Venue
  Yuan et al.
• A Continued Pretrained LLM Approach For Automatic Medical Note Generation (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) • 20 citations
  Yuan et al.
• Autonomous Llm-driven Research From Data To Human-verifiable Research Papers (2024) • NEJM AI • 18 citations
  Ifargan et al.
• Drowning In Documents: Consequences Of Scaling Reranker Inference (2024) • No Venue
  Jacob et al.
• Education In The Era Of Neurosymbolic AI (2024) • Journal of Web Semantics • 11 citations
  Jaldi et al.
• Visual Delta Generator With Large Multi-modal Models For Semi-supervised Composed Image Retrieval (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Jang et al.
• Smart-infinity: Fast Large Language Model Training Using Near-storage Processing On A Real System (2024) • 2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA) • 17 citations
  Jang et al.
• Enhancing Healthcare Through Large Language Models: A Study On Medical Question Answering (2024) • 2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS) • 21 citations
  Yu et al.
• Autotriz: Automating Engineering Innovation With TRIZ And Large Language Models (2024) • Advanced Engineering Informatics • 23 citations
  Jiang et al.
• Navigating LLM Ethics: Advancements, Challenges, And Future Directions (2024) • AI and Ethics • 17 citations
  Jiao et al.
• Doing Personal LAPS: Llm-augmented Dialogue Construction For Personalized Multi-session Conversational Search (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 15 citations
  Joko et al.
• People Cannot Distinguish GPT-4 From A Human In A Turing Test (2024) • FAccT '25: The 2025 ACM Conference on Fairness, Accountability, and Transparency • 24 citations
  Cameron R. Jones, Benjamin K. Bergen
• Scope Ambiguities In Large Language Models (2024) • Transactions of the Association for Computational Linguistics • 14 citations
  Kamath et al.
• Can Large Language Models Reason And Plan? (2024) • Annals of the New York Academy of Sciences • 44 citations
  Subbarao Kambhampati
• Can Large Language Models Be Good Emotional Supporter? Mitigating Preference Bias On Emotional Support Conversation (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Kang et al.
• Reenact Anything: Semantic Video Motion Transfer Using Motion-textual Inversion (2024) • No Venue
  Kansy et al.
• On Scalable Oversight With Weak Llms Judging Strong Llms (2024) • No Venue
  Kenton et al.
• Meganno+: A Human-llm Collaborative Annotation System (2024) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations • 12 citations
  Kim et al.
• Financial Statement Analysis With Large Language Models (2024) • Arxiv • 33 citations
  Alex Kim, Maximilian Muhn, Valeri Nikolaev
• "i'm Not Sure, But...": Examining The Impact Of Large Language Models' Uncertainty Expression On User Reliance And Trust (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 62 citations
  Kim et al.
• Delving Into Llm-assisted Writing In Biomedical Publications Through Excess Vocabulary (2024) • Science Advances • 34 citations
  Kobak et al.
• Careless Whisper: Speech-to-text Hallucination Harms (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 52 citations
  Koenecke et al.
• You'll Never Walk Alone: A Sketch And Text Duet For Fine-grained Image Retrieval (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Koley et al.
• Deconstructing The Veneer Of Simplicity: Co-designing Introductory Generative AI Workshops With Local Entrepreneurs (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 10 citations
  Kotturi et al.
• Harvesting Textual And Structured Data From The HAL Publication Repository (2024) • No Venue
  Kulumba et al.
• Adaptive Ensembles Of Fine-tuned Transformers For Llm-generated Text Detection (2024) • 2024 International Joint Conference on Neural Networks (IJCNN) • 12 citations
  Zhixin Lai, Xuesheng Zhang, Suiyao Chen
• Proxyclip: Proxy Attention Improves CLIP For Open-vocabulary Segmentation (2024) • Lecture Notes in Computer Science • 13 citations
  Lan et al.
• Should We Respect Llms? A Cross-lingual Study On The Influence Of Prompt Politeness On LLM Performance (2024) • Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024) • 23 citations
  Yin et al.
• The Opportunities And Risks Of Large Language Models In Mental Health (2024) • JMIR Mental Health • 99 citations
  Lawrence et al.
• Llava-docent: Instruction Tuning With Multimodal Large Language Model To Support Art Appreciation Education (2024) • Computers and Education: Artificial Intelligence • 11 citations
  Lee et al.
• Large Language Models Produce Responses Perceived To Be Empathic (2024) • 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII) • 18 citations
  Lee et al.
• One Vs. Many: Comprehending Accurate Information From Multiple Erroneous And Inconsistent AI Generations (2024) • FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency • 16 citations
  Lee et al.
• Paperweaver: Enriching Topical Paper Alerts By Contextualizing Recommended Papers With User-collected Papers (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 13 citations
  Lee et al.
• Chatgpt As Research Scientist: Probing Gpt's Capabilities As A Research Librarian, Research Ethicist, Data Generator And Data Predictor (2024) • Proceedings of the National Academy of Sciences • 42 citations
  Lehr et al.
• An Enhanced Prompt-based LLM Reasoning Scheme Via Knowledge Graph-integrated Collaboration (2024) • Lecture Notes in Computer Science • 18 citations
  Yihao Li, Ru Zhang, Jianyi Liu
• Contrastive Learning With Counterfactual Explanations For Radiology Report Generation (2024) • Lecture Notes in Computer Science • 12 citations
  Li et al.
• Global And Local Prompts Cooperation Via Optimal Transport For Federated Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Li et al.
• Developing Chatgpt For Biology And Medicine: A Complete Review Of Biomedical Question Answering (2024) • Biophysics Reports • 10 citations
  Qing Li, Lei Li, Yu Li
• Driving Everywhere With Large Language Model Policy Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Li et al.
• Generative Cross-modal Retrieval: Memorizing Images In Multimodal Language Models For Retrieval And Beyond (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Li et al.
• KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models (2024) • Lecture Notes in Computer Science • 14 citations
  Li et al.
• Preference Tuning For Toxicity Mitigation Generalizes Across Languages (2024) • No Venue
  Xiaochen Li, Zheng-Xin Yong, Stephen H. Bach
• Spactor-t5: Pre-training T5 Models With Span Corruption And Replaced Token Detection (2024) • No Venue
  Ye et al.
• Self-evolving Agents With Reflective And Memory-augmented Abilities (2024) • Neurocomputing • 12 citations
  Liang et al.
• Controlled Text Generation For Large Language Model With Dynamic Attribute Graphs (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 14 citations
  Liang et al.
• Leveraging Large Language Models For Patient Engagement: The Power Of Conversational AI In Digital Health (2024) • 2024 IEEE International Conference on Digital Health (ICDH) • 25 citations
  Wen et al.
• Advancing Large Language Models To Capture Varied Speaking Styles And Respond Properly In Spoken Conversations (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Guan-Ting Lin, Cheng-Han Chiang, Hung-Yi Lee
• Boosting Multimodal Large Language Models With Visual Tokens Withdrawal For Rapid Inference (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Lin et al.
• Ctrl-adapter: An Efficient And Versatile Framework For Adapting Diverse Controls To Any Diffusion Model (2024) • No Venue
  Lin et al.
• How Can I Get It Right? Using GPT To Rephrase Incorrect Trainee Responses (2024) • International Journal of Artificial Intelligence in Education • 14 citations
  Lin et al.
• Towards Explainable Harmful Meme Detection Through Multimodal Debate Between Large Language Models (2024) • WWW '24: The ACM Web Conference 2024 • 31 citations
  Lin et al.
• Learning To Refuse: Towards Mitigating Privacy Risks In Llms (2024) • No Venue
  Liu et al.
• CFPL-FAS: Class Free Prompt Learning For Generalizable Face Anti-spoofing (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 41 citations
  Liu et al.
• Collaborative Cross-modal Fusion With Large Language Model For Recommendation (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 12 citations
  Liu et al.
• End-to-end Learnable Clustering For Intent Learning In Recommendation (2024) • Advances in Neural Information Processing Systems 37 • 13 citations
  Liu et al.
• Enhancing The Llm-based Robot Manipulation Through Human-robot Collaboration (2024) • IEEE Robotics and Automation Letters • 51 citations
  Liu et al.
• Generative Photomontage (2024) • No Venue
  Liu et al.
• Knowledge Graph-enhanced Large Language Models Via Path Selection (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 11 citations
  Liu et al.
• Paraphrase And Aggregate With Large Language Models For Minimizing Intent Classification Errors (2024) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 13 citations
  Vikas Yadav, Zheng Tang, Vijay Srinivasan
• MCRPL: A Pretrain, Prompt & Fine-tune Paradigm For Non-overlapping Many-to-one Cross-domain Recommendation (2024) • ACM Transactions on Information Systems • 11 citations
  Liu et al.
• Peergpt: Probing The Roles Of Llm-based Peer Agents As Team Moderators And Participants In Children's Collaborative Learning (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 15 citations
  Liu et al.
• Reconx: Reconstruct Any Scene From Sparse Views With Video Diffusion Model (2024) • No Venue
  Liu et al.
• Sora: A Review On Background, Technology, Limitations, And Opportunities Of Large Vision Models (2024) • No Venue
  Liu et al.
• Tempcompass: Do Video Llms Really Understand Videos? (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 30 citations
  Liu et al.
• "when He Feels Cold, He Goes To The Seahorse"-blending Generative AI Into Multimaterial Storymaking For Family Expressive Arts Therapy (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 18 citations
  di Liu, Hanqing Zhou, Pengcheng An
• Do Llamas Work In English? On The Latent Language Of Multilingual Transformers (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 27 citations
  Wendler et al.
• DOPRA: Decoding Over-accumulation Penalization And Re-allocation In Specific Weighting Layer (2024) • Proceedings of the 32nd ACM International Conference on Multimedia • 14 citations
  Jinfeng Wei, Xiaofeng Zhang
• You're (not) My Type -- Can Llms Generate Feedback Of Specific Types For Introductory Programming Tasks? (2024) • Journal of Computer Assisted Learning • 18 citations
  Dominic Lohr, Hieke Keuning, Natalie Kiesler
• Not Just Novelty: A Longitudinal Study On Utility And Customization Of An AI Workflow (2024) • DIS '24: Designing Interactive Systems Conference • 19 citations
  Tao Long, Katy Ilonka Gero, Lydia B. Chilton
• Consent In Crisis: The Rapid Decline Of The AI Data Commons (2024) • No Venue
  Longpre et al.
• Comparing Traditional And Llm-based Search For Image Geolocation (2024) • CHIIR '24: 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval • 14 citations
  Albatool Wazzan, Stephen MacNeil, Richard Souvenir
• Agentlens: Visual Analysis For Agent Behaviors In Llm-based Autonomous Systems (2024) • IEEE Transactions on Visualization and Computer Graphics • 14 citations
  Lu et al.
• F-HOI: Toward Fine-grained Semantic-aligned 3D Human-object Interactions (2024) • No Venue
  Yang et al.
• Large Language Models: An Applied Econometric Framework (2024) • Arxiv • 13 citations
  Jens Ludwig, Sendhil Mullainathan, Ashesh Rambachan
• Large Language Models Surpass Human Experts In Predicting Neuroscience Results (2024) • Nature Human Behaviour • 76 citations
  Luo et al.
• Source2synth: Synthetic Data Generation And Curation Grounded In Real Data Sources (2024) • No Venue
  Lupidi et al.
• A Preliminary Exploration Of Youtubers' Use Of Generative-ai In Content Creation (2024) • CHI '24: CHI Conference on Human Factors in Computing Systems • 16 citations
  Lyu et al.
• Weblinx: Real-world Website Navigation With Multi-turn Dialogue (2024) • No Venue
  Xing Han Lù, Zdeněk Kasner, Siva Reddy
• Long Video Diffusion Generation With Segmented Cross-attention And Content-rich Video Data Curation (2024) • No Venue
  Yan et al.
• Dreureka: Language Model Guided Sim-to-real Transfer (2024) • Robotics: Science and Systems 2024 • 19 citations
  Ma et al.
• Groma: Localized Visual Tokenization For Grounding Multimodal Large Language Models (2024) • No Venue
  Ma et al.
• Retrieval Helps Or Hurts? A Deeper Dive Into The Efficacy Of Retrieval Augmentation To Language Models (2024) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 10 citations
  Maekawa et al.
• Generative AI And Its Impact On Personalized Intelligent Tutoring Systems (2024) • Arxiv • 21 citations
  Subhankar Maity, Aniket Deroy
• Chiraag: Chatgpt Informed Rapid And Automated Assertion Generation (2024) • 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) • 17 citations
  Mali et al.
• From Rags To Riches: Utilizing Large Language Models To Write Documents For Clinical Trials (2024) • Clinical Trials • 17 citations
  Markey et al.
• Using Large Language Models To Estimate Features Of Multi-word Expressions: Concreteness, Valence, Arousal (2024) • Behavior Research Methods • 17 citations
  Martínez et al.
• Datastates-llm: Lazy Asynchronous Checkpointing For Large Language Models (2024) • HPDC '24: 33rd International Symposium on High-Performance Parallel and Distributed Computing • 24 citations
  Maurya et al.
• Exploring Multilingual Large Language Models For Enhanced TNM Classification Of Radiology Report In Lung Cancer Staging (2024) • Cancers • 16 citations
  Matsuo et al.
• Can't Make An Omelette Without Breaking Some Eggs: Plausible Action Anticipation Using Large Video-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Mittal et al.
• Worlddreamer: Towards General World Models For Video Generation Via Predicting Masked Tokens (2024) • No Venue
  Wang et al.
• Instructors As Innovators: A Future-focused Approach To New AI Learning Opportunities, With Prompts (2024) • SSRN Electronic Journal • 39 citations
  Ethan Mollick, Lilach Mollick
• Realm: Reference Resolution As Language Modeling (2024) • No Venue
  Moniz et al.
• Mindscape Study: Integrating LLM And Behavioral Sensing For Personalized Ai-driven Journaling Experiences (2024) • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies • 22 citations
  Nepal et al.
• Examining The Potential And Pitfalls Of Chatgpt In Science And Engineering Problem-solving (2023) • Frontiers in Education • 44 citations
  Wang et al.
• Huatuo: Tuning Llama Model With Chinese Medical Knowledge (2023) • Arxiv • 93 citations
  Wang et al.
• Instructuie: Multi-task Instruction Tuning For Unified Information Extraction (2023) • Arxiv • 47 citations
  Wang et al.
• Automated Annotation With Generative AI Requires Validation (2023) • Arxiv • 33 citations
  Nicholas Pangakis, Samuel Wolken, Neil Fasching
• Customising General Large Language Models For Specialised Emotion Recognition Tasks (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 13 citations
  Peng et al.
• Can Chatgpt Be Used To Generate Scientific Hypotheses? (2023) • Journal of Materiomics • 48 citations
  Park et al.
• CLARA: Classifying And Disambiguating User Commands For Reliable Interactive Robotic Agents (2023) • IEEE Robotics and Automation Letters • 17 citations
  Park et al.
• Gpt4video: A Unified Multimodal Large Language Model For Lnstruction-followed Understanding And Safety-aware Generation (2023) • MM '24: The 32nd ACM International Conference on Multimedia • 20 citations
  Wang et al.
• Invisible Relevance Bias: Text-image Retrieval Models Prefer Ai-generated Images (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 12 citations
  Xu et al.
• Taming Mode Collapse In Score Distillation For Text-to-3d Generation (2023) • No Venue
  Wang et al.
• Enhancing Student Performance Prediction On Learnersourced Questions With SGNN-LLM Synergy (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Ni et al.
• User Behavior Simulation With Large Language Model Based Agents (2023) • ACM Transactions on Information Systems • 22 citations
  Wang et al.
• Wizmap: Scalable Interactive Visualization For Exploring Large Machine Learning Embeddings (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) • 13 citations
  Zijie J. Wang, Fred Hohman, Duen Horng Chau
• Towards Unifying Multi-lingual And Cross-lingual Summarization (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 23 citations
  Wang et al.
• Text To Point Cloud Localization With Relation-enhanced Transformer (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 12 citations
  Guangzhi Wang, Hehe Fan, Mohan Kankanhalli
• Understanding And Detecting Hallucinations In Neural Machine Translation Via Model Introspection (2023) • Transactions of the Association for Computational Linguistics • 26 citations
  Xu et al.
• Symbol-llm: Towards Foundational Symbol-centric Interface For Large Language Models (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Xu et al.
• SLM: Bridge The Thin Gap Between Speech And Text Foundation Models (2023) • 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) • 20 citations
  Wang et al.
• T2IAT: Measuring Valence And Stereotypical Biases In Text-to-image Generation (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 18 citations
  Wang et al.
• Speechx: Neural Codec Language Model As A Versatile Speech Transformer (2023) • No Venue
  Wang et al.
• GPT Has Become Financially Literate: Insights From Financial Literacy Tests Of GPT And A Preliminary Test Of How People Use It As A Source Of Advice (2023) • Finance Research Letters • 53 citations
  Paweł Niszczota, Sami Abbas
• Seqxgpt: Sentence-level Ai-generated Text Detection (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Wang et al.
• Gotta Be SAFE: A New Framework For Molecular Design (2023) • Digital Discovery • 35 citations
  Noutahi et al.
• Search-engine-augmented Dialogue Response Generation With Cheaply Supervised Query Production (2023) • Artificial Intelligence • 12 citations
  Wang et al.
• Contrastive Decoding Improves Reasoning In Large Language Models (2023) • No Venue
  Sean O'Brien, Mike Lewis
• Scaling Data Generation In Vision-and-language Navigation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 38 citations
  Wang et al.
• Industrial Engineering With Large Language Models: A Case Study Of Chatgpt's Performance On Oil & Gas Problems (2023) • 2023 11th International Conference on Control, Mechatronics and Automation (ICCMA) • 18 citations
  Oluwatosin Ogundare, Srinath Madasu, Nathanial Wiggins
• Large Search Model: Redefining Search Stack In The Era Of Llms (2023) • ACM SIGIR Forum • 10 citations
  Wang et al.
• Baize: An Open-source Chat Model With Parameter-efficient Tuning On Self-chat Data (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 64 citations
  Xu et al.
• Corefprompt: Prompt-based Event Coreference Resolution By Measuring Event Type And Argument Compatibilities (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Sheng Xu, Peifeng Li, Qiaoming Zhu
• Chatgpt Vs. Google: A Comparative Study Of Search Performance And User Experience (2023) • SSRN Electronic Journal • 48 citations
  Ruiyun Xu, Yue Feng, Hailiang Chen
• Fine-tuned Llms Know More, Hallucinate Less With Few-shot Sequence-to-sequence Semantic Parsing Over Wikidata (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Xu et al.
• Unifying Large Language Models And Knowledge Graphs: A Roadmap (2023) • IEEE Transactions on Knowledge and Data Engineering • 665 citations
  Pan et al.
• Do The Rewards Justify The Means? Measuring Trade-offs Between Rewards And Ethical Behavior In The MACHIAVELLI Benchmark (2023) • Arxiv • 26 citations
  Pan et al.
• Data-efficient Learning Of Natural Language To Linear Temporal Logic Translators For Robot Task Specification (2023) • 2023 IEEE International Conference on Robotics and Automation (ICRA) • 31 citations
  Jiayi Pan, Glen Chou, Dmitry Berenson
• Langnav: Language As A Perceptual Representation For Navigation (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 13 citations
  Pan et al.
• M4: Multi-generator, Multi-domain, And Multi-lingual Black-box Machine-generated Text Detection (2023) • Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) • 17 citations
  Wang et al.
• Ontochatgpt Information System: Ontology-driven Structured Prompts For Chatgpt Meta-learning (2023) • International Journal of Computing • 31 citations
  Palagin et al.
• MAUD: An Expert-annotated Legal NLP Dataset For Merger Agreement Understanding (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Wang et al.
• Exploiting Simulated User Feedback For Conversational Search: Ranking, Rewriting, And Beyond (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 24 citations
  Owoicho et al.
• Controlling The Extraction Of Memorized Data From Large Language Models Via Prompt-tuning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 10 citations
  Ozdayi et al.
• Microcinema: A Divide-and-conquer Approach For Text-to-video Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Wang et al.
• Large Language Models In Medicine: The Potentials And Pitfalls (2023) • Annals of Internal Medicine • 245 citations
  Omiye et al.
• A Universal Question-answering Platform For Knowledge Graphs (2023) • Proceedings of the ACM on Management of Data • 40 citations
  Omar et al.
• Gridmm: Grid Memory Map For Vision-and-language Navigation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 48 citations
  Wang et al.
• Editing Implicit Assumptions In Text-to-image Diffusion Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 35 citations
  Hadas Orgad, Bahjat Kawar, Yonatan Belinkov
• Can Chatgpt And Bard Generate Aligned Assessment Items? A Reliability Analysis Against Human Performance (2023) • Journal of Applied Learning & Teaching • 18 citations
  Abdolvahab Khademi
• Mirages: On Anthropomorphism In Dialogue Systems (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 31 citations
  Abercrombie et al.
• A-STAR: Test-time Attention Segregation And Retention For Text-to-image Synthesis (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 29 citations
  Agarwal et al.
• Can Chatgpt Reproduce Human-generated Labels? A Study Of Social Computing Tasks (2023) • Arxiv • 63 citations
  Zhu et al.
• Beyond Labels: Leveraging Deep Learning And Llms For Content Metadata (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 14 citations
  Saurabh Agrawal, John Trenkle, Jaya Kawale
• Do All Languages Cost The Same? Tokenization In The Era Of Commercial Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 13 citations
  Ahia et al.
• Openproteinset: Training Data For Structural Biology At Scale (2023) • No Venue
  Ahdritz et al.
• Creating Trustworthy Llms: Dealing With Hallucinations In Healthcare AI (2023) • Arxiv • 39 citations
  Muhammad Aurangzeb Ahmad, Ilker Yaramis, Taposh Dutta Roy
• GQA: Training Generalized Multi-query Transformer Models From Multi-head Checkpoints (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 234 citations
  Ainslie et al.
• Colt5: Faster Long-range Transformers With Conditional Computation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Ainslie et al.
• Vistext: A Benchmark For Semantically Rich Chart Captioning (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 36 citations
  Benny J. Tang, Angie Boggust, Arvind Satyanarayan
• Towards Designing A Chatgpt Conversational Companion For Elderly People (2023) • Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments • 50 citations
  Abeer Alessa, Hend Al-Khalifa
• QI-TTS: Questioning Intonation Control For Emotional Speech Synthesis (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 13 citations
  Tang et al.
• LEDITS: Real Image Editing With DDPM Inversion And Semantic Guidance (2023) • No Venue
  Linoy Tsaban, Apolinário Passos
• Large Language Models For Conducting Advanced Text Analytics Information Systems Research (2023) • ACM Transactions on Management Information Systems • 17 citations
  Ampel et al.
• Framework-based Qualitative Analysis Of Free Responses Of Large Language Models: Algorithmic Fidelity (2023) • PLOS ONE • 16 citations
  Amirova et al.
• Magicfusion: Boosting Text-to-image Generation Performance By Fusing Diffusion Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Zhao et al.
• "alexa Doesn't Have That Many Feelings": Children's Understanding Of AI Through Interactions With Smart Speakers In Their Homes (2023) • Computers and Education: Artificial Intelligence • 31 citations
  Valentina Andries, Judy Robertson
• Muavic: A Multilingual Audio-visual Corpus For Robust Speech Recognition And Robust Speech-to-text Translation (2023) • INTERSPEECH 2023 • 27 citations
  Anwar et al.
• Chat With The Environment: Interactive Multimodal Perception Using Large Language Models (2023) • 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 38 citations
  Zhao et al.
• Catalyst: Domain-extensible Intervention For Preventing Task Procrastination Using Large Generative Models (2023) • Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems • 25 citations
  Riku Arakawa, Hiromu Yakura, Masataka Goto
• Large Language Models Streamline Automated Machine Learning For Clinical Studies (2023) • Nature Communications • 83 citations
  Arasteh et al.
• Limits For Learning With Language Models (2023) • Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023) • 12 citations
  Asher et al.
• Language Models Are Not Naysayers: An Analysis Of Language Models On Negation Benchmarks (2023) • Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023) • 18 citations
  Truong et al.
• Using Large Language Models For Qualitative Analysis Can Introduce Serious Bias (2023) • Policy Research Working Papers • 24 citations
  Julian Ashwin, Aditya Chhabra, Vijayendra Rao
• Do Large Language Models Show Decision Heuristics Similar To Humans? A Case Study Using GPT-3.5 (2023) • Journal of Experimental Psychology: General • 51 citations
  Suri et al.
• The Looming Threat Of Fake And Llm-generated Linkedin Profiles: Challenges And Opportunities For Detection And Prevention (2023) • HT '23: 34th ACM Conference on Hypertext and Social Media • 36 citations
  Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee
• Michelangelo: Conditional 3D Shape Generation Based On Shape-image-text Aligned Latent Representation (2023) • No Venue
  Zhao et al.
• The Internal State Of An LLM Knows When It's Lying (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 81 citations
  Amos Azaria, Tom Mitchell
• Synthetic Data From Diffusion Models Improves Imagenet Classification (2023) • Arxiv • 78 citations
  Azizi et al.
• ALR-GAN: Adaptive Layout Refinement For Text-to-image Synthesis (2023) • IEEE Transactions on Multimedia • 27 citations
  Tan et al.
• Large Language Models In Cryptocurrency Securities Cases: Can A GPT Model Meaningfully Assist Lawyers? (2023) • Artificial Intelligence and Law • 10 citations
  Arianna Trozze, Toby Davies, Bennett Kleinberg
• Generative AI For Math: Part I -- Mathpile: A Billion-token-scale Pretraining Corpus For Math (2023) • No Venue
  Zengzhi Wang, Rui Xia, Pengfei Liu
• Visobert: A Pre-trained Language Model For Vietnamese Social Media Text Processing (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Nguyen et al.
• A Brief Report On Lawgpt 1.0: A Virtual Legal Assistant Based On GPT-3 (2023) • Arxiv • 14 citations
  Ha-Thanh Nguyen
• Llms-healthcare : Current Applications And Challenges Of Large Language Models In Various Medical Specialties (2023) • Artificial Intelligence in Health • 18 citations
  Ummara Mumtaz, Awais Ahmed, Summaya Mumtaz
• Contrasting Linguistic Patterns In Human And Llm-generated News Text (2023) • Artificial Intelligence Review 57 265 (2024) • 13 citations
  Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, David Vilares
• Auditing Large Language Models: A Three-layered Approach (2023) • SSRN Electronic Journal • 38 citations
  Mökander et al.
• Anatomy Of An Ai-powered Malicious Social Botnet (2023) • Journal of Quantitative Description Digital Media (2024) • 12 citations
  Kai-Cheng Yang, Filippo Menczer
• From Dogwhistles To Bullhorns: Unveiling Coded Rhetoric With Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Mendelsohn et al.
• Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need (2023) • Journal of the American Medical Informatics Association • 18 citations
  Peng et al.
• Chatgpt In Drug Discovery: A Case Study On Anti-cocaine Addiction Drug Development With Chatbots (2023) • Journal of Chemical Information and Modeling • 43 citations
  Rui Wang, Hongsong Feng, Guo-Wei Wei
• The Five-dollar Model: Generating Game Maps And Sprites From Sentence Embeddings (2023) • Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment • 13 citations
  Merino et al.
• GAIA: A Benchmark For General AI Assistants (2023) • No Venue
  Mialon et al.
• Using Captum To Explain Generative Language Models (2023) • Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023) • 12 citations
  Miglani et al.
• Compositional Text-to-image Synthesis With Attention Map Control Of Diffusion Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 24 citations
  Wang et al.
• Convgqr: Generative Query Reformulation For Conversational Search (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 22 citations
  Mo et al.
• Storyfier: Exploring Vocabulary Learning Support With Text Generation Models (2023) • UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology • 19 citations
  Peng et al.
• Watch Your Steps: Local Image And Scene Editing By Text Instructions (2023) • Lecture Notes in Computer Science • 21 citations
  Mirzaei et al.
• Chatgpt Or Human? Detect And Explain. Explaining Decisions Of Machine Learning Model For Detecting Short Chatgpt-generated Text (2023) • Arxiv • 81 citations
  Sandra Mitrović, Davide Andreoletti, Omran Ayoub
• Give Us The Facts: Enhancing Large Language Models With Knowledge Graphs For Fact-aware Language Modeling (2023) • IEEE Transactions on Knowledge and Data Engineering • 119 citations
  Yang et al.
• Assigning AI: Seven Approaches For Students, With Prompts (2023) • SSRN Electronic Journal • 117 citations
  Ethan Mollick, Lilach Mollick
• The Vector Grounding Problem (2023) • Arxiv • 31 citations
  Dimitri Coelho Mollo, Raphaël Millière
• Is Chatgpt Involved In Texts? Measure The Polish Ratio To Detect Chatgpt-generated Text (2023) • APSIPA Transactions on Signal and Information Processing • 11 citations
  Lingyi Yang, Feng Jiang, Haizhou Li
• Lidar-llm: Exploring The Potential Of Large Language Models For 3D Lidar Understanding (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 28 citations
  Yang et al.
• Knowledge Graph Self-supervised Rationalization For Recommendation (2023) • Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 131 citations
  Yang et al.
• T2i-adapter: Learning Adapters To Dig Out More Controllable Ability For Text-to-image Diffusion Models (2023) • Arxiv • 33 citations
  Mou et al.
• Topics, Authors, And Institutions In Large Language Model Research: Trends From 17K Arxiv Papers (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 14 citations
  Movva et al.
• Practical And Ethical Challenges Of Large Language Models In Education: A Systematic Scoping Review (2023) • British Journal of Educational Technology • 485 citations
  Yan et al.
• Domain-specific Chatbots For Science Using Embeddings (2023) • Digital Discovery • 24 citations
  Kevin G. Yager
• CORE-GPT: Combining Open Access Research And Large Language Models For Credible, Trustworthy Question Answering (2023) • Lecture Notes in Computer Science • 22 citations
  David Pride, Matteo Cancellieri, Petr Knoth
• Trustworthy And Synergistic Artificial Intelligence For Software Engineering: Vision And Roadmaps (2023) • 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE) • 25 citations
  David Lo
• Testing Of Detection Tools For Ai-generated Text (2023) • International Journal for Educational Integrity • 309 citations
  Weber-Wulff et al.
• Exploring Effectiveness Of GPT-3 In Grammatical Error Correction: A Study On Performance And Controllability In Prompt-based Methods (2023) • Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) • 12 citations
  Loem et al.
• Discuss Before Moving: Visual Language Navigation Via Multi-expert Discussions (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 39 citations
  Long et al.
• Exploring The Sensitivity Of Llms' Decision-making Capabilities: Insights From Prompt Variation And Hyperparameters (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 22 citations
  Manikanta Loya, Divya Anand Sinha, Richard Futrell
• Chatgpt V Bard V Bing V Claude 2 V Aria V Human-expert. How Good Are AI Chatbots At Scientific Writing? (2023) • Future Internet • 56 citations
  Edisa Lozić, Benjamin Štular
• Event Extraction As Question Generation And Answering (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 28 citations
  Lu et al.
• Generative Artificial Intelligence In Learning Analytics: Contextualising Opportunities And Challenges Through The Learning Analytics Cycle (2023) • LAK '24: The 14th Learning Analytics and Knowledge Conference • 55 citations
  Lixiang Yan, Roberto Martinez-Maldonado, Dragan Gašević
• Exploring The Cognitive Dynamics Of Artificial Intelligence In The Post-covid-19 And Learning 3.0 Era: A Case Study Of Chatgpt (2023) • Arxiv • 26 citations
  Lingfei Luan, Xi Lin, Wenbiao Li
• Fighting Fire With Fire: The Dual Role Of Llms In Crafting And Detecting Elusive Disinformation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 17 citations
  Lucas et al.
• Chatgpt And A New Academic Reality: Artificial Intelligence-written Research Papers And The Ethics Of The Large Language Models In Scholarly Publishing (2023) • Journal of the Association for Information Science and Technology • 630 citations
  Lund et al.
• End-to-end Knowledge Retrieval With Multi-modal Queries (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Luo et al.
• Lexlip: Lexicon-bottlenecked Language-image Pre-training For Large-scale Image-text Retrieval (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 23 citations
  Luo et al.
• Promptmtopic: Unsupervised Multimodal Topic Modeling Of Memes Using Large Language Models (2023) • MM '23: The 31st ACM International Conference on Multimedia • 18 citations
  Prakash et al.
• Coupling Large Language Models With Logic Programming For Robust And General Reasoning From Text (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 22 citations
  Zhun Yang, Adam Ishay, Joohyung Lee
• The Impact Of Chatgpt And Llms On Medical Imaging Stakeholders: Perspectives And Use Cases (2023) • Meta-Radiology • 36 citations
  Jiancheng Yang, Hongwei Bran Li, Donglai Wei
• MMM: Generative Masked Motion Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 30 citations
  Pinyoanuntapong et al.
• Soft Prompt Tuning For Augmenting Dense Retrieval With Large Language Models (2023) • Knowledge-Based Systems • 12 citations
  Peng et al.
• Attention-enhancing Backdoor Attacks Against Bert-based Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 27 citations
  Lyu et al.
• Beyond Chatbots: Explorellm For Structured Thoughts And Personalized Model Responses (2023) • No Venue
  Ma et al.
• DREEAM: Guiding Attention With Evidence For Improving Document-level Relation Extraction (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 57 citations
  Youmi Ma, An Wang, Naoaki Okazaki
• Topicgpt: A Prompt-based Topic Modeling Framework (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 44 citations
  Pham et al.
• Trailblazer: Trajectory Control For Diffusion-based Video Generation (2023) • No Venue
  Wan-Duo Kurt Ma, J. P. Lewis, W. Bastiaan Kleijn
• Pythainlp: Thai Natural Language Processing In Python (2023) • Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023) • 46 citations
  Phatthiyaphaibun et al.
• Turning Whisper Into Real-time Transcription System (2023) • Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations • 13 citations
  Dominik MacHáček, Raj Dabre, Ondřej Bojar
• Multitude: Large-scale Multilingual Machine-generated Text Detection Benchmark (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 21 citations
  MacKo et al.
• Generative Relevance Feedback With Large Language Models (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 32 citations
  Iain MacKie, Shubham Chatterjee, Jeffrey Dalton
• Large Language Models Sensitivity To The Order Of Options In Multiple-choice Questions (2023) • Findings of the Association for Computational Linguistics: NAACL 2024 • 39 citations
  Pouya Pezeshkpour, Estevam Hruschka
• Do Language Models' Words Refer? (2023) • Computational Linguistics • 23 citations
  Matthew Mandelkern, Tal Linzen
• Language Models Are Weak Learners (2023) • No Venue
  Hariharan Manikandan, Yiding Jiang, J Zico Kolter
• Large Language Models Can Infer Psychological Dispositions Of Social Media Users (2023) • PNAS Nexus • 55 citations
  Heinrich Peters, Sandra Matz
• LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models (2023) • 2023 IEEE International Conference on Big Data (BigData) • 22 citations
  Maragheh et al.
• Large Language Models Predict Human Sensory Judgments Across Six Modalities (2023) • Scientific Reports • 37 citations
  Marjieh et al.
• Debiased Contrastive Learning For Sequential Recommendation (2023) • Proceedings of the ACM Web Conference 2023 • 150 citations
  Yang et al.
• Ontology Engineering With Large Language Models (2023) • 2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) • 29 citations
  Patricia Mateiu, Adrian Groza
• Is Writing Prompts Really Making Art? (2023) • Lecture Notes in Computer Science • 40 citations
  McCormack et al.
• Chill: Zero-shot Custom Interpretable Feature Extraction From Clinical Notes With Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 16 citations
  McInerney et al.
• Inverse Scaling: When Bigger Isn't Better (2023) • Transactions on Machine Learning Research (TMLR) 10/2023 https://openreview.net/forum?id=DwgRm72GQF • 22 citations
  McKenzie et al.
• Improving Hateful Meme Detection Through Retrieval-guided Contrastive Learning (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 11 citations
  Mei et al.
• Introducing Language Guidance In Prompt-based Continual Learning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 26 citations
  Khan et al.
• MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings (2023) • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies • 11 citations
  Yonchanok Khaokaew, Hao Xue, Flora D. Salim
• Will Chatgpt Get You Caught? Rethinking Of Plagiarism Detection (2023) • Arxiv • 234 citations
  Mohammad Khalil, Erkan Er
• Angler: Helping Machine Translation Practitioners Prioritize Model Improvements (2023) • CHI '23: CHI Conference on Human Factors in Computing Systems • 16 citations
  Robertson et al.
• Synthesizing Human Gaze Feedback For Improved NLP Performance (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 13 citations
  Khurana et al.
• Probing Llms For Hate Speech Detection: Strengths And Vulnerabilities (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Roy et al.
• Lip-to-speech Synthesis In The Wild With Multi-task Learning (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 15 citations
  Minsu Kim, Joanna Hong, Yong Man Ro
• Collaborative Score Distillation For Consistent Visual Synthesis (2023) • No Venue
  Kim et al.
• KG-GPT: A General Framework For Reasoning On Knowledge Graphs Using Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 23 citations
  Kim et al.
• Mindfuldiary: Harnessing Large Language Model To Support Psychiatric Patients' Journaling (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 68 citations
  Kim et al.
• Exploring New Frontiers In Agricultural NLP: Investigating The Potential Of Large Language Models For Food Applications (2023) • IEEE Transactions on Big Data • 17 citations
  Rezayi et al.
• Abscribe: Rapid Exploration & Organization Of Multiple Writing Variations In Human-ai Co-writing Tasks Using Large Language Models (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 31 citations
  Reza et al.
• Turning Dross Into Gold Loss: Is Bert4rec Really Better Than Sasrec? (2023) • RecSys '23: Seventeenth ACM Conference on Recommender Systems • 44 citations
  Anton Klenitskiy, Alexey Vasilev
• Platonerf: 3D Reconstruction In Plato's Cave Via Single-view Two-bounce Lidar (2023) • No Venue
  Klinghoffer et al.
• A Technical Report For Polyglot-ko: Open-source Large-scale Korean Language Models (2023) • No Venue
  Ko et al.
• Playing With Words: Comparing The Vocabulary And Lexical Diversity Of Chatgpt And Humans (2023) • Machine Learning with Applications • 12 citations
  Reviriego et al.
• Public Attitudes Toward Chatgpt On Twitter: Sentiments, Topics, And Occupations (2023) • Arxiv • 12 citations
  Ratanond Koonchanok, Yanling Pan, Hyeju Jang
• Switching Head-tail Funnel UNITER For Dual Referring Expression Comprehension With Fetch-and-carry Tasks (2023) • 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 10 citations
  Korekata et al.
• Enhancing Large Language Models With Climate Resources (2023) • SSRN Electronic Journal • 13 citations
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• Unreflected Acceptance -- Investigating The Negative Consequences Of Chatgpt-assisted Problem Solving In Physics Education (2023) • Frontiers in Artificial Intelligence and Applications • 36 citations
  Krupp et al.
• Timechat: A Time-sensitive Multimodal Large Language Model For Long Video Understanding (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 95 citations
  Ren et al.
• The Moral Authority Of Chatgpt (2023) • Arxiv • 53 citations
  Sebastian Krügel, Andreas Ostermaier, Matthias Uhl
• MADLAD-400: A Multilingual And Document-level Large Audited Dataset (2023) • No Venue
  Kudugunta et al.
• Impact Of Guidance And Interaction Strategies For LLM Use On Learner Performance And Perception (2023) • Proceedings of the ACM on Human-Computer Interaction • 14 citations
  Kumar et al.
• Beyond The Chat: Executable And Verifiable Text-editing With Llms (2023) • UIST '24: The 37th Annual ACM Symposium on User Interface Software and Technology • 14 citations
  Laban et al.
• End-to-end Speech Recognition Contextualization With Large Language Models (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 13 citations
  Lakomkin et al.
• Exploring Large Language Models To Facilitate Variable Autonomy For Human-robot Teaming (2023) • Frontiers in Robotics and AI • 11 citations
  Younes Lakhnati, Max Pascher, Jens Gerken
• Scaling Up COMETKIWI: Unbabel-ist 2023 Submission For The Quality Estimation Shared Task (2023) • Proceedings of the Eighth Conference on Machine Translation • 10 citations
  Rei et al.
• Stance Detection With Collaborative Role-infused Llm-based Agents (2023) • Proceedings of the International AAAI Conference on Web and Social Media • 38 citations
  Lan et al.
• Testing The Reliability Of Chatgpt For Text Annotation And Classification: A Cautionary Remark (2023) • Arxiv • 80 citations
  Michael V. Reiss
• Measuring Faithfulness In Chain-of-thought Reasoning (2023) • No Venue
  Lanham et al.
• The Bigscience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset (2023) • Arxiv • 65 citations
  Laurençon et al.
• VAL: Interactive Task Learning With GPT Dialog Parsing (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 12 citations
  Lane Lawley, Christopher J. MacLellan
• GRIM: Graph-based Interactive Narrative Visualization For Games (2023) • No Venue
  Leandro et al.
• A Unified Industrial Large Knowledge Model Framework In Industry 4.0 And Smart Manufacturing (2023) • International Journal of AI for Materials and Design • 28 citations
  Jay Lee, Hanqi Su
• Kosbi: A Dataset For Mitigating Social Bias Risks Towards Safer Large Language Model Application (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track) • 15 citations
  Lee et al.
• Supporting Human-ai Collaboration In Auditing Llms With Llms (2023) • AIES '23: AAAI/ACM Conference on AI, Ethics, and Society • 52 citations
  Rastogi et al.
• Still No Lie Detector For Language Models: Probing Empirical And Conceptual Roadblocks (2023) • Philosophical Studies • 20 citations
  B. A. Levinstein, Daniel A. Herrmann
• Retrieval-augmented Image Captioning (2023) • Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics • 30 citations
  Rita Ramos, Desmond Elliott, Bruno Martins
• Curriculum-driven Edubot: A Framework For Developing Language Learning Chatbots Through Synthesizing Conversational Data (2023) • Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue • 11 citations
  Li et al.
• A Zero-shot Language Agent For Computer Control With Structured Reflection (2023) • No Venue
  Li et al.
• Automlp: Automated MLP For Sequential Recommendations (2023) • Proceedings of the ACM Web Conference 2023 • 46 citations
  Li et al.
• Improving Vision-and-language Navigation By Generating Future-view Image Semantics (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Jialu Li, Mohit Bansal
• Flexkbqa: A Flexible Llm-powered Framework For Few-shot Knowledge Base Question Answering (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 49 citations
  Li et al.
• Feature-aware Conditional GAN For Category Text Generation (2023) • Neurocomputing • 23 citations
  Li et al.
• GLIGEN: Open-set Grounded Text-to-image Generation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 406 citations
  Li et al.
• "HOT" Chatgpt: The Promise Of Chatgpt In Detecting And Discriminating Hateful, Offensive, And Toxic Comments On Social Media (2023) • ACM Transactions on the Web • 66 citations
  Li et al.
• Graphix-t5: Mixing Pre-trained Transformers With Graph-aware Layers For Text-to-sql Parsing (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 53 citations
  Li et al.
• KERM: Knowledge Enhanced Reasoning For Vision-and-language Navigation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 41 citations
  Li et al.
• Interactive Task Planning With Language Models (2023) • No Venue
  Li et al.
• Sentence Embedding Leaks More Information Than You Expect: Generative Embedding Inversion Attack To Recover The Whole Sentence (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 16 citations
  Haoran Li, Mingshi Xu, Yangqiu Song
• Privacy In Large Language Models: Attacks, Defenses And Future Directions (2023) • Lecture Notes in Computer Science • 10 citations
  Li et al.
• Potential Societal Biases Of Chatgpt In Higher Education: A Scoping Review (2023) • Open Praxis • 11 citations
  Li et al.
• Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-stage Approach To Mitigate Social Biases (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Li et al.
• Synthetic Data Generation With Large Language Models For Text Classification: Potential And Limitations (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 78 citations
  Li et al.
• Unigen: A Unified Generative Framework For Retrieval And Question Answering With Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 14 citations
  Xiaoxi Li, Yujia Zhou, Zhicheng Dou
• Hardware-aware Training For Large-scale And Diverse Deep Learning Inference Workloads Using In-memory Computing-based Accelerators (2023) • Nature Communications • 125 citations
  Rasch et al.
• Passgpt: Password Modeling And (guided) Generation With Large Language Models (2023) • Lecture Notes in Computer Science • 21 citations
  Javier Rando, Fernando Perez-Cruz, Briland Hitaj
• In-context Retrieval-augmented Language Models (2023) • Transactions of the Association for Computational Linguistics • 238 citations
  Ram et al.
• Dreambooth3d: Subject-driven Text-to-3d Generation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 130 citations
  Raj et al.
• Reliable Natural Language Understanding With Large Language Models And Answer Set Programming (2023) • Electronic Proceedings in Theoretical Computer Science • 13 citations
  Rajasekharan et al.
• The Troubling Emergence Of Hallucination In Large Language Models -- An Extensive Definition, Quantification, And Prescriptive Remediations (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 67 citations
  Rawte et al.
• Recommender Systems With Generative Retrieval (2023) • Arxiv • 27 citations
  Rajput et al.
• Multi-temporal Lip-audio Memory For Visual Speech Recognition (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 10 citations
  Jeong Hun Yeo, Minsu Kim, Yong Man Ro
• Reliable And Interpretable Drift Detection In Streams Of Short Texts (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track) • 16 citations
  Rabinovich et al.
• The Perils & Promises Of Fact-checking With Large Language Models (2023) • Frontiers in Artificial Intelligence • 38 citations
  Dorian Quelle, Alexandre Bovet
• Investigating The Effectiveness Of Task-agnostic Prefix Prompt For Instruction Following (2023) • Arxiv • 11 citations
  Ye et al.
• MP5: A Multi-modal Open-ended Embodied System In Minecraft Via Active Perception (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Qin et al.
• Ethical Chatgpt: Concerns, Challenges, And Commandments (2023) • Electronics • 61 citations
  Zhou et al.
• Exploring Ai-generated Text In Student Writing: How Does AI Help? (2023) • Language_Learning_and_Technology 28(2) (2024) 183_209 • 15 citations
  Woo et al.
• From Big To Small Without Losing It All: Text Augmentation With Chatgpt For Efficient Sentiment Analysis (2023) • 2023 IEEE International Conference on Data Mining Workshops (ICDMW) • 13 citations
  Stanisław Woźniak, Jan Kocoń
• Can Large Language Models Provide Useful Feedback On Research Papers? A Large-scale Empirical Analysis (2023) • NEJM AI • 115 citations
  Liang et al.
• Let GPT Be A Math Tutor: Teaching Math Word Problem Solvers With Customized Exercise Generation (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 27 citations
  Liang et al.
• XLM-V: Overcoming The Vocabulary Bottleneck In Multilingual Masked Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 16 citations
  Liang et al.
• Designerly Understanding: Information Needs For Model Transparency To Support Design Ideation For Ai-powered User Experience (2023) • CHI '23: CHI Conference on Human Factors in Computing Systems • 55 citations
  Liao et al.
• How Abstract Is Linguistic Generalization In Large Language Models? Experiments With Argument Structure (2023) • Transactions of the Association for Computational Linguistics • 11 citations
  Michael Wilson, Jackson Petty, Robert Frank
• PMC-CLIP: Contrastive Language-image Pre-training Using Biomedical Documents (2023) • Lecture Notes in Computer Science • 117 citations
  Lin et al.
• Bridging Items And Language: A Transition Paradigm For Large Language Model-based Recommendation (2023) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 24 citations
  Lin et al.
• Decision-oriented Dialogue For Human-ai Collaboration (2023) • Transactions of the Association for Computational Linguistics • 22 citations
  Lin et al.
• Text-driven Image Editing Via Learnable Regions (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Lin et al.
• Text2motion: From Natural Language Instructions To Feasible Plans (2023) • Autonomous Robots • 176 citations
  Lin et al.
• Knowledge Graphs And Pre-trained Language Models Enhanced Representation Learning For Conversational Recommender Systems (2023) • IEEE Transactions on Neural Networks and Learning Systems • 15 citations
  Qiu et al.
• Testing The Predictions Of Surprisal Theory In 11 Languages (2023) • Transactions of the Association for Computational Linguistics • 56 citations
  Wilcox et al.
• Bias And Fairness In Chatbots: An Overview (2023) • APSIPA Transactions on Signal and Information Processing • 36 citations
  Xue et al.
• Align Your Gaussians: Text-to-4d With Dynamic 3D Gaussians And Composed Diffusion Models (2023) • No Venue
  Ling et al.
• Chatgpt (feb 13 Version) Is A Chinese Room (2023) • Arxiv • 13 citations
  Maurice Ht Ling
• DL3DV-10K: A Large-scale Scene Dataset For Deep Learning-based 3D Vision (2023) • No Venue
  Ling et al.
• Selenite: Scaffolding Online Sensemaking With Comprehensive Overviews Elicited From Large Language Models (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 31 citations
  Liu et al.
• "generate" The Future Of Work Through AI: Empirical Evidence From Online Labor Markets (2023) • SSRN Electronic Journal • 10 citations
  Liu et al.
• Bt-adapter: Video Conversation Is Feasible Without Video Instruction Tuning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Liu et al.
• Context Matters: A Strategy To Pre-train Language Model For Science Education (2023) • SSRN Electronic Journal • 13 citations
  Liu et al.
• Chatgpt-powered Conversational Drug Editing Using Retrieval And Domain Feedback (2023) • Arxiv • 18 citations
  Liu et al.
• Chinese Spelling Correction As Rephrasing Language Model (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Linfeng Liu, Hongqiu Wu, Hai Zhao
• Enhancing Document-level Event Argument Extraction With Contextual Clues And Role Relevance (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 28 citations
  Liu et al.
• Generative Disco: Text-to-video Generation For Music Visualization (2023) • Arxiv • 10 citations
  Liu et al.
• Git-mol: A Multi-modal Large Language Model For Molecular Science With Graph, Image, And Text (2023) • Computers in Biology and Medicine • 53 citations
  Liu et al.
• Learning Customized Visual Models With Retrieval-augmented Knowledge (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 29 citations
  Liu et al.
• Music Understanding Llama: Advancing Text-to-music Generation With Question Answering And Captioning (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 20 citations
  Liu et al.
• RECAP: Retrieval-enhanced Context-aware Prefix Encoder For Personalized Dialogue Response Generation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Liu et al.
• Radiology-gpt: A Large Language Model For Radiology (2023) • Meta-Radiology • 12 citations
  Liu et al.
• Unicontrol: A Unified Diffusion Model For Controllable Visual Generation In The Wild (2023) • Arxiv • 24 citations
  Qin et al.
• Video-p2p: Video Editing With Cross-attention Control (2023) • Arxiv • 13 citations
  Liu et al.
• Tackling Data Bias In MUSIC-AVQA: Crafting A Balanced Dataset For Unbiased Question-answering (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 10 citations
  Xiulong Liu, Zhikang Dong, Peng Zhang
• Webcpm: Interactive Web Search For Chinese Long-form Question Answering (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 24 citations
  Qin et al.
• How Good Is Google Bard's Visual Understanding? An Empirical Study On Open Challenges (2023) • Machine Intelligence Research • 13 citations
  Qin et al.
• MMSD2.0: Towards A Reliable Multi-modal Sarcasm Detection System (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 26 citations
  Qin et al.
• Meta-optimized Contrastive Learning For Sequential Recommendation (2023) • SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 41 citations
  Qin et al.
• Hard Prompts Made Easy: Gradient-based Discrete Optimization For Prompt Tuning And Discovery (2023) • Arxiv • 39 citations
  Wen et al.
• Pink: Unveiling The Power Of Referential Comprehension For Multi-modal Llms (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Xuan et al.
• Gpt-4: A Review On Advancements And Opportunities In Natural Language Processing (2023) • Journal of Electrical Electronics Engineering • 29 citations
  Jawid Ahmad Baktash, Mursal Dawodi
• Toward Autocorrection Of Chemical Process Flowsheets Using Large Language Models (2023) • Computer Aided Chemical Engineering • 11 citations
  Lukas Schulze Balhorn, Marc Caballero, Artur M. Schweidtmann
• Learning Visual Representations Via Language-guided Sampling (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 14 citations
  Mohamed El Banani, Karan Desai, Justin Johnson
• The Moral Machine Experiment On Large Language Models (2023) • Royal Society Open Science • 32 citations
  Kazuhiro Takemoto
• Better By You, Better Than Me, Chatgpt3 As Writing Assistance In Students Essays (2023) • Basic Z. Banovac A. Kruzic I. Jerkovic I. ChatGPT-3.5 as writing assistance in students essays. Humanit Soc Sci Commun 10 750 (2023) • 24 citations
  Basic et al.
• "an Adapt-or-die Type Of Situation": Perception, Adoption, And Use Of Text-to-image-generation AI By Game Industry Professionals (2023) • Proceedings of the ACM on Human-Computer Interaction • 47 citations
  Vimpari et al.
• Multimodal Llms For Health Grounded In Individual-specific Data (2023) • Lecture Notes in Computer Science • 46 citations
  Belyaeva et al.
• Writer-defined AI Personas For On-demand Feedback Generation (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 38 citations
  Benharrak et al.
• Axnav: Replaying Accessibility Tests From Natural Language (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 37 citations
  Taeb et al.
• Mg-shopdial: A Multi-goal Conversational Dataset For E-commerce (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 14 citations
  Nolwenn Bernard, Krisztian Balog
• When Automated Assessment Meets Automated Content Generation: Examining Text Quality In The Era Of Gpts (2023) • ACM Transactions on Information Systems • 18 citations
  Bevilacqua et al.
• Layoutmask: Enhance Text-layout Interaction In Multi-modal Pre-training For Document Understanding (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Tu et al.
• Does Human Collaboration Enhance The Accuracy Of Identifying Llm-generated Deepfake Texts? (2023) • Proceedings of the AAAI Conference on Human Computation and Crowdsourcing • 18 citations
  Uchendu et al.
• Oceangpt: A Large Language Model For Ocean Science Tasks (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
  Bi et al.
• Face0: Instantaneously Conditioning A Text-to-image Model On A Face (2023) • No Venue
  Valevski et al.
• What Should Data Science Education Do With Large Language Models? (2023) • Harvard Data Science Review • 35 citations
  Tu et al.
• A Categorical Archive Of Chatgpt Failures (2023) • Arxiv • 405 citations
  Ali Borji
• SEGA: Instructing Text-to-image Models Using Semantic Guidance (2023) • Arxiv • 11 citations
  Brack et al.
• Causal-discovery Performance Of Chatgpt In The Context Of Neuropathic Pain Diagnosis (2023) • Arxiv • 16 citations
  Ruibo Tu, Chao Ma, Cheng Zhang
• Deep Learning Mental Health Dialogue System (2023) • 2023 IEEE International Conference on Big Data and Smart Computing (BigComp) • 21 citations
  Brocki et al.
• Sparks Of Artificial General Intelligence: Early Experiments With GPT-4 (2023) • Arxiv • 1510 citations
  Bubeck et al.
• Generative AI Assistants In Software Development Education: A Vision For Integrating Generative AI Into Educational Practice, Not Instinctively Defending Against It (2023) • IEEE Software • 66 citations
  Christopher Bull, Ahmed Kharrufa
• Visual Cognition In Multimodal Large Language Models (2023) • Nature Machine Intelligence • 23 citations
  Buschoff et al.
• From Text To Image: Exploring Gpt-4vision's Potential In Advanced Radiological Analysis Across Subspecialties (2023) • Journal of Medical Internet Research • 24 citations
  Busch et al.
• Top-down Framework For Weakly-supervised Grounded Image Captioning (2023) • Knowledge-Based Systems • 20 citations
  Cai et al.
• Generative Rendering: Controllable 4d-guided Video Generation With 2D Diffusion Models (2023) • No Venue
  Cai et al.
• Language As Reality: A Co-creative Storytelling Game Experience In 1001 Nights Using Generative AI (2023) • Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment • 38 citations
  Sun et al.
• Teaching The Pre-trained Model To Generate Simple Texts For Text Simplification (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 11 citations
  Renliang Sun, Wei Xu, Xiaojun Wan
• Large Language Models For Intent-driven Session Recommendations (2023) • SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval • 16 citations
  Sun et al.
• Pathasst: A Generative Foundation AI Assistant Towards Artificial General Intelligence Of Pathology (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 39 citations
  Sun et al.
• Learning To Tokenize For Generative Retrieval (2023) • Arxiv • 16 citations
  Sun et al.
• Attention Where It Matters: Rethinking Visual Document Understanding With Selective Region Concentration (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 11 citations
  Cao et al.
• How Does AI Chat Change Search Behaviors? (2023) • Arxiv • 10 citations
  Robert Capra, Jaime Arguello
• Auto-acd: A Large-scale Dataset For Audio-language Representation Learning (2023) • MM '24: The 32nd ACM International Conference on Multimedia • 18 citations
  Sun et al.
• Sensecape: Enabling Multilevel Exploration And Sensemaking With Large Language Models (2023) • UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology • 97 citations
  Suh et al.
• Lexfiles And Legallama: Facilitating English Multinational Legal Language Model Development (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Chalkidis et al.
• Beyond Reality: The Pivotal Role Of Generative AI In The Metaverse (2023) • IEEE Internet of Things Magazine • 64 citations
  Chamola et al.
• A Comprehensive AI Policy Education Framework For University Teaching And Learning (2023) • International Journal of Educational Technology in Higher Education • 976 citations
  Cecilia Ka Yuk Chan
• Speak, Memory: An Archaeology Of Books Known To Chatgpt/gpt-4 (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 49 citations
  Chang et al.
• A Unified Approach For Text- And Image-guided 4D Scene Generation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Zheng et al.
• Luminate: Structured Generation And Exploration Of Design Space With Large Language Models For Human-ai Co-creation (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 81 citations
  Suh et al.
• Attend-and-excite: Attention-based Semantic Guidance For Text-to-image Diffusion Models (2023) • ACM Transactions on Graphics • 315 citations
  Chefer et al.
• Alleviating Over-smoothing For Unsupervised Sentence Representation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Chen et al.
• Control3d: Towards Controllable Text-to-3d Generation (2023) • MM '23: The 31st ACM International Conference on Multimedia • 35 citations
  Chen et al.
• Can Large Language Models Provide Security & Privacy Advice? Measuring The Ability Of Llms To Refute Misconceptions (2023) • ACSAC '23: Annual Computer Security Applications Conference • 33 citations
  Yufan Chen, Arjun Arunasalam, Z. Berkay Celik
• Dense X Retrieval: What Retrieval Granularity Should We Use? (2023) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 37 citations
  Chen et al.
• HYTREL: Hypergraph-enhanced Tabular Data Representation Learning (2023) • Arxiv • 13 citations
  Chen et al.
• Improving Massively Multilingual ASR With Auxiliary CTC Objectives (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 24 citations
  Chen et al.
• IT3D: Improved Text-to-3d Generation With Explicit View Synthesis (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 36 citations
  Chen et al.
• Say What You Mean! Large Language Models Speak Too Positively About Negative Commonsense Knowledge (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 14 citations
  Chen et al.
• Next Steps For Human-centered Generative AI: A Technical Perspective (2023) • Arxiv • 14 citations
  Chen et al.
• LM4HPC: Towards Effective Language Model Application In High-performance Computing (2023) • Lecture Notes in Computer Science • 27 citations
  Chen et al.
• One Model For All Domains: Collaborative Domain-prefix Tuning For Cross-domain NER (2023) • Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence • 15 citations
  Chen et al.
• On The Difference Of Bert-style And Clip-style Text Encoders (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 11 citations
  Chen et al.
• Pointgpt: Auto-regressively Generative Pre-training From Point Clouds (2023) • Arxiv • 33 citations
  Chen et al.
• Probing The Creativity Of Large Language Models: Can Models Produce Divergent Semantic Association? (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Honghua Chen, Nai Ding
• STAIR: Learning Sparse Text And Image Representation In Grounded Tokens (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Chen et al.
• Tem-adapter: Adapting Image-text Pretraining For Video Question Answer (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Chen et al.
• Unlearn What You Want To Forget: Efficient Unlearning For Llms (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 32 citations
  Jiaao Chen, Diyi Yang
• Videocrafter1: Open Diffusion Models For High-quality Video Generation (2023) • No Venue
  Chen et al.
• Datatales: Investigating The Use Of Large Language Models For Authoring Data-driven Articles (2023) • 2023 IEEE Visualization and Visual Analytics (VIS) • 35 citations
  Nicole Sultanum, Arjun Srinivasan
• Pandagpt: One Model To Instruction-follow Them All (2023) • Arxiv • 46 citations
  Su et al.
• Adapted Large Language Models Can Outperform Medical Experts In Clinical Text Summarization (2023) • Nature Medicine • 485 citations
  Veen et al.
• Howkgpt: Investigating The Detection Of Chatgpt-generated University Student Homework Through Context-aware Perplexity Analysis (2023) • Arxiv • 10 citations
  Vasilatos et al.
• Value Kaleidoscope: Engaging AI With Pluralistic Human Values, Rights, And Duties (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Sorensen et al.
• Recovering From Privacy-preserving Masking With Large Language Models (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Vats et al.
• "it Felt Like Having A Second Mind": Investigating Human-ai Co-creativity In Prewriting With Large Language Models (2023) • Proceedings of the ACM on Human-Computer Interaction • 43 citations
  Wan et al.
• Transact: Transformer-based Realtime User Action Model For Recommendation At Pinterest (2023) • KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 14 citations
  Xia et al.
• Zeroprompt: Streaming Acoustic Encoders Are Zero-shot Masked Lms (2023) • INTERSPEECH 2023 • 10 citations
  Song et al.
• Moviechat: From Dense Token To Sparse Memory For Long Video Understanding (2023) • No Venue
  Song et al.
• Unicorn: Unified Cognitive Signal Reconstruction Bridging Cognitive Signals And Human Language (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Xi et al.
• Decoding Chatgpt: A Taxonomy Of Existing Research, Current Challenges, And Possible Future Directions (2023) • Journal of King Saud University - Computer and Information Sciences • 131 citations
  Sohail et al.
• Intelligible Lip-to-speech Synthesis With Speech Units (2023) • INTERSPEECH 2023 • 16 citations
  Jeongsoo Choi, Minsu Kim, Yong Man Ro
• Explainable Conversational Question Answering Over Heterogeneous Sources Via Iterative Graph Neural Networks (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 17 citations
  Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum
• Adaptersoup: Weight Averaging To Improve Generalization Of Pretrained Language Models (2023) • Findings of the Association for Computational Linguistics: EACL 2023 • 20 citations
  Chronopoulou et al.
• Qwen-audio: Advancing Universal Audio Understanding Via Unified Large-scale Audio-language Models (2023) • No Venue
  Chu et al.
• Towards Natural Language-guided Drones: Geotext-1652 Benchmark With Spatial Relation Matching (2023) • Lecture Notes in Computer Science • 15 citations
  Chu et al.
• VISAR: A Human-ai Argumentative Writing Assistant With Visual Programming And Rapid Draft Prototyping (2023) • Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology • 71 citations
  Zhang et al.
• Spec: A Soft Prompt-based Calibration On Performance Variability Of Large Language Model In Clinical Notes Summarization (2023) • Journal of Biomedical Informatics • 29 citations
  Chuang et al.
• Dola: Decoding By Contrasting Layers Improves Factuality In Large Language Models (2023) • No Venue
  Chuang et al.
• Expand, Rerank, And Retrieve: Query Reranking For Open-domain Question Answering (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 10 citations
  Chuang et al.
• Universal Multimodal Representation For Language Understanding (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 19 citations
  Zhang et al.
• Promptpaint: Steering Text-to-image Generation Through Paint Medium-like Interactions (2023) • UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology • 63 citations
  John Joon Young Chung, Eytan Adar
• Chatgpt: More Than A Weapon Of Mass Deception, Ethical Challenges And Responses From The Human-centered Artificial Intelligence (HCAI) Perspective (2023) • International Journal of Human–Computer Interaction • 72 citations
  Sison et al.
• Selectively Answering Ambiguous Questions (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 12 citations
  Cole et al.
• Should Chatgpt And Bard Share Revenue With Their Data Providers? A New Business Model For The AI Era (2023) • Advances in Artificial Intelligence and Machine Learning • 10 citations
  Dong Zhang
• Nl2spec: Interactively Translating Unstructured Natural Language To Temporal Logics With Large Language Models (2023) • Lecture Notes in Computer Science • 73 citations
  Cosler et al.
• Drive As You Speak: Enabling Human-like Interaction With Large Language Models In Autonomous Vehicles (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) • 77 citations
  Cui et al.
• Right To Be Forgotten In The Era Of Large Language Models: Implications, Challenges, And Solutions (2023) • AI and Ethics • 21 citations
  Zhang et al.
• Exploring Large Language Models For Multi-modal Out-of-distribution Detection (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Dai et al.
• Auggpt: Leveraging Chatgpt For Text Data Augmentation (2023) • Arxiv • 99 citations
  Dai et al.
• Rank-without-gpt: Building Gpt-independent Listwise Rerankers On Open-source Large Language Models (2023) • No Venue
  Zhang et al.
• Multimodal Parameter-efficient Few-shot Class Incremental Learning (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 22 citations
  D'Alessandro et al.
• Mimicking The Thinking Process For Emotion Recognition In Conversation With Prompts And Paraphrasing (2023) • Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23} • 14 citations
  Zhang et al.
• Generation Of Radiology Findings In Chest X-ray By Leveraging Collaborative Knowledge (2023) • Procedia Computer Science • 10 citations
  Danu et al.
• Investigating The Effectiveness Of Chatgpt In Mathematical Reasoning And Problem Solving: Evidence From The Vietnamese National High School Graduation Examination (2023) • Arxiv • 52 citations
  Xuan-Quy Dao, Ngoc-Bich Le
• Learning Language-guided Adaptive Hyper-modality Representation For Multimodal Sentiment Analysis (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 87 citations
  Zhang et al.
• Improving Speech Translation By Cross-modal Multi-grained Contrastive Learning (2023) • IEEE/ACM Transactions on Audio, Speech, and Language Processing • 14 citations
  Zhang et al.
• Benefits And Harms Of Large Language Models In Digital Mental Health (2023) • Arxiv • 36 citations
  Munmun de Choudhury, Sachin R. Pendse, Neha Kumar
• Fairness Of Chatgpt And The Role Of Explainable-guided Prompts (2023) • Arxiv • 13 citations
  Yashar Deldjoo
• Text-to-4d Dynamic Scene Generation (2023) • Arxiv • 23 citations
  Singer et al.
• Are Large Language Models A Threat To Digital Public Goods? Evidence From Activity On Stack Overflow (2023) • PNAS Nexus • 15 citations
  Maria del Rio-Chanona, Nadzeya Laurentsyeva, Johannes Wachs
• K2: A Foundation Language Model For Geoscience Knowledge Understanding And Utilization (2023) • WSDM '24: The 17th ACM International Conference on Web Search and Data Mining • 56 citations
  Deng et al.
• Improved Logical Reasoning Of Language Models Via Differentiable Symbolic Programming (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 11 citations
  Zhang et al.
• Large Language Models As Zero-shot Human Models For Human-robot Interaction (2023) • 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 60 citations
  Bowen Zhang, Harold Soh
• "it's A Fair Game", Or Is It? Examining How Users Navigate Disclosure Risks And Benefits When Using Llm-based Conversational Agents (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 48 citations
  Zhang et al.
• Brain2music: Reconstructing Music From Human Brain Activity (2023) • No Venue
  Denk et al.
• Analyzing Chatgpt's Aptitude In An Introductory Computer Engineering Course (2023) • 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) • 15 citations
  Sanjay Deshpande, Jakub Szefer
• A Security Risk Taxonomy For Prompt-based Interaction With Large Language Models (2023) • IEEE Access • 17 citations
  Derner et al.
• Testing AI On Language Comprehension Tasks Reveals Insensitivity To Underlying Meaning (2023) • Arxiv • 18 citations
  Dentella et al.
• Toxicity In Chatgpt: Analyzing Persona-assigned Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 98 citations
  Deshpande et al.
• End-to-end Beam Retrieval For Multi-hop Question Answering (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 10 citations
  Zhang et al.
• Fact-checking Information From Large Language Models Can Decrease Headline Discernment (2023) • Proceedings of the National Academy of Sciences • 25 citations
  Deverna et al.
• How Do Large Language Models Capture The Ever-changing World Knowledge? A Review Of Recent Advances (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Zhang et al.
• Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 12 citations
  Si et al.
• FC-KBQA: A Fine-to-coarse Composition Framework For Knowledge Base Question Answering (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 21 citations
  Zhang et al.
• Fluid Transformers And Creative Analogies: Exploring Large Language Models' Capacity For Augmenting Cross-domain Analogical Creativity (2023) • C&C '23: Creativity and Cognition • 23 citations
  Ding et al.
• Generative Table Pre-training Empowers Models For Tabular Prediction (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Zhang et al.
• Prompt- And Trait Relation-aware Cross-prompt Essay Trait Scoring (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 15 citations
  Heejin Do, Yunsu Kim, Gary Geunbae Lee
• Llamol: A Dynamic Multi-conditional Generative Transformer For De Novo Molecular Design (2023) • Journal of Cheminformatics • 12 citations
  Niklas Dobberstein, Astrid Maass, Jan Hamaekers
• Fast Chain-of-thought: A Glance Of Future From Parallel Decoding Leads To Answers Faster (2023) • No Venue
  Zhang et al.
• Musechat: A Conversational Music Recommendation System For Videos (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Dong et al.
• Clipsonic: Text-to-audio Synthesis With Unlabeled Videos And Pretrained Language-vision Models (2023) • 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) • 13 citations
  Dong et al.
• Draft & Verify: Lossless Large Language Model Acceleration Via Self-speculative Decoding (2023) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 21 citations
  Zhang et al.
• Generative Artificial Intelligence Enhances Creativity But Reduces The Diversity Of Novel Content (2023) • Science Advances • 309 citations
  Anil R. Doshi, Oliver P. Hauser
• Diloco: Distributed Low-communication Training Of Language Models (2023) • No Venue
  Douillard et al.
• A Comparative Study Of Ai-generated (GPT-4) And Human-crafted Mcqs In Programming Education (2023) • ACE 2024: Australian Computing Education Conference • 76 citations
  Doughty et al.
• Learning Universal Policies Via Text-guided Video Generation (2023) • Arxiv • 29 citations
  Du et al.
• Enhancing Job Recommendation Through Llm-based Generative Adversarial Networks (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 55 citations
  Du et al.
• The ART Of LLM Refinement: Ask, Refine, And Trust (2023) • No Venue
  Shridhar et al.
• Coarse-to-fine Knowledge Selection For Document Grounded Dialogs (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Zhang et al.
• Chinese Open Instruction Generalist: A Preliminary Release (2023) • Arxiv • 10 citations
  Zhang et al.
• Building Cooperative Embodied Agents Modularly With Large Language Models (2023) • No Venue
  Zhang et al.
• Brush Your Text: Synthesize Any Scene Text On Images Via Diffusion Model (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Zhang et al.
• Ask An Expert: Leveraging Language Models To Improve Strategic Reasoning In Goal-oriented Dialogue Models (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 12 citations
  Qiang Zhang, Jason Naradowsky, Yusuke Miyao
• Mindshift: Leveraging Large Language Models For Mental-states-based Problematic Smartphone Use Intervention (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 30 citations
  Wu et al.
• From Commit Message Generation To History-aware Commit Message Completion (2023) • 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) • 19 citations
  Eliseeva et al.
• Sequential Integrated Gradients: A Simple But Effective Method For Explaining Language Models (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 11 citations
  Joseph Enguehard
• A Bibliometric Review Of Large Language Models Research From 2017 To 2023 (2023) • ACM Transactions on Intelligent Systems and Technology • 105 citations
  Fan et al.
• Understanding And Bridging The Modality Gap For Speech Translation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Qingkai Fang, Yang Feng
• Scenegenie: Scene Graph Guided Diffusion Models For Image Synthesis (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 23 citations
  Farshad et al.
• Sign Language Translation From Instructional Videos (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 12 citations
  Tarrés et al.
• Friend Or Foe? Exploring The Implications Of Large Language Models On The Science System (2023) • AI & SOCIETY • 42 citations
  Fecher et al.
• Docpedia: Unleashing The Power Of Large Multimodal Model In The Frequency Domain For Versatile Document Understanding (2023) • Science China Information Sciences • 29 citations
  Feng et al.
• Chatpose: Chatting About 3D Human Pose (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 41 citations
  Feng et al.
• Ranni: Taming Text-to-image Diffusion For Accurate Instruction Following (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Feng et al.
• Large Language Models Improve Alzheimer's Disease Diagnosis Using Multi-modality Data (2023) • 2023 IEEE International Conference on Medical Artificial Intelligence (MedAI) • 12 citations
  Feng et al.
• Retrieval-generation Synergy Augmented Large Language Models (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 27 citations
  Feng et al.
• Three Bricks To Consolidate Watermarks For Large Language Models (2023) • No Venue
  Fernandez et al.
• Genai Against Humanity: Nefarious Applications Of Generative Artificial Intelligence And Large Language Models (2023) • SSRN Electronic Journal • 17 citations
  Emilio Ferrara
• Should Chatgpt Be Biased? Challenges And Risks Of Bias In Large Language Models (2023) • First Monday • 181 citations
  Emilio Ferrara
• What Does Chatgpt Return About Human Values? Exploring Value Bias In Chatgpt Using A Descriptive Value Theory (2023) • Arxiv • 10 citations
  Ronald Fischer, Markus Luczak-Roesch, Johannes A Karl
• On The Creativity Of Large Language Models (2023) • AI & SOCIETY • 45 citations
  Giorgio Franceschelli, Mirco Musolesi
• Chatgpt & Mechanical Engineering: Examining Performance On The FE Mechanical Engineering And Undergraduate Exams (2023) • Computer Applications in Engineering Education • 16 citations
  Matthew Frenkel, Hebah Emara
• Scenescape: Text-driven Consistent Scene Generation (2023) • Arxiv • 24 citations
  Fridman et al.
• From Text To Self: Users' Perceptions Of Potential Of AI On Interpersonal Communication And Self (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 25 citations
  Fu et al.
• Comparing Sentence-level Suggestions To Message-level Suggestions In Ai-mediated Communication (2023) • Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems • 23 citations
  Fu et al.
• Bilma: Bidirectional Local-matching For Text-based Person Re-identification (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 32 citations
  Takuro Fujii, Shuhei Tarashima
• Encoder-based Domain Tuning For Fast Personalization Of Text-to-image Models (2023) • ACM Transactions on Graphics • 132 citations
  Gal et al.
• Indictrans2: Towards High-quality And Accessible Machine Translation Models For All 22 Scheduled Indian Languages (2023) • Arxiv • 37 citations
  Gala et al.
• Large Language Models In Education: Vision And Opportunities (2023) • 2023 IEEE International Conference on Big Data (BigData) • 88 citations
  Gan et al.
• On The Origin Of Llms: An Evolutionary Tree And Graph For 15,821 Large Language Models (2023) • No Venue
  Sarah Gao, Andrew Kean Gao
• Graphdreamer: Compositional 3D Scene Synthesis From Scene Graphs (2023) • No Venue
  Gao et al.
• E3 TTS: Easy End-to-end Diffusion-based Text To Speech (2023) • No Venue
  Gao et al.
• Confucius: Iterative Tool Learning From Introspection Feedback By Easy-to-difficult Curriculum (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Gao et al.
• How To Design Translation Prompts For Chatgpt: An Empirical Study (2023) • Arxiv • 29 citations
  Yuan Gao, Ruili Wang, Feng Hou
• Peacok: Persona Commonsense Knowledge For Consistent And Engaging Narratives (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Gao et al.
• Iconshop: Text-guided Vector Icon Synthesis With Autoregressive Transformers (2023) • ACM Transactions on Graphics • 22 citations
  Wu et al.
• Attention Mixtures For Time-aware Sequential Recommendation (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 27 citations
  Tran et al.
• An Annotated Dataset For Explainable Interpersonal Risk Factors Of Mental Disturbance In Social Media Posts (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 16 citations
  Garg et al.
• Fake News In Sheep's Clothing: Robust Fake News Detection Against Llm-empowered Style Attacks (2023) • KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 48 citations
  Jiaying Wu, Jiafeng Guo, Bryan Hooi
• A Hierarchical Encoding-decoding Scheme For Abstractive Multi-document Summarization (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 14 citations
  Shen et al.
• Dissecting Recall Of Factual Associations In Auto-regressive Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Geva et al.
• Tokenflow: Consistent Diffusion Features For Consistent Video Editing (2023) • No Venue
  Geyer et al.
• AI In The Gray: Exploring Moderation Policies In Dialogic Large Language Models Vs. Human Answers In Controversial Topics (2023) • CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management • 13 citations
  Ghafouri et al.
• Generative AI In The Construction Industry: Opportunities & Challenges (2023) • Buildings • 95 citations
  Prashnna Ghimire, Kyungki Kim, Manoj Acharya
• Chatgpt Perpetuates Gender Bias In Machine Translation And Ignores Non-gendered Pronouns: Findings Across Bengali And Five Other Low-resource Languages (2023) • AIES '23: AAAI/ACM Conference on AI, Ethics, and Society • 69 citations
  Sourojit Ghosh, Aylin Caliskan
• Clipsyntel: CLIP And LLM Synergy For Multimodal Question Summarization In Healthcare (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 26 citations
  Ghosh et al.
• Gpt-based Models Meet Simulation: How To Efficiently Use Large-scale Pre-trained Language Models Across Simulation Tasks (2023) • 2023 Winter Simulation Conference (WSC) • 22 citations
  Philippe J. Giabbanelli
• ARNOLD: A Benchmark For Language-grounded Task Learning With Continuous States In Realistic 3D Scenes (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 20 citations
  Gong et al.
• Waiting, Banning, And Embracing: An Empirical Analysis Of Adapting Policies For Generative AI In Higher Education (2023) • SSRN Electronic Journal • 51 citations
  Ping Xiao, Yuanyuan Chen, Weining Bao
• Advancing Stuttering Detection Via Data Augmentation, Class-balanced Loss And Multi-contextual Deep Learning (2023) • IEEE Journal of Biomedical and Health Informatics • 23 citations
  Sheikh et al.
• Deceptive AI Ecosystems: The Case Of Chatgpt (2023) • Proceedings of the 5th International Conference on Conversational User Interfaces • 39 citations
  Xiao Zhan, Yifan Xu, Stefan Sarkadi
• PIPPA: A Partially Synthetic Conversational Dataset (2023) • No Venue
  Tear Gosling, Alpin Dale, Yinhe Zheng
• Blended-nerf: Zero-shot Object Generation And Blending In Existing Neural Radiance Fields (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 14 citations
  Ori Gordon, Omri Avrahami, Dani Lischinski
• Bringing Order Into The Realm Of Transformer-based Language Models For Artificial Intelligence And Law (2023) • Artificial Intelligence and Law • 31 citations
  Candida M. Greco, Andrea Tagarelli
• Facilitating Self-guided Mental Health Interventions Through Human-language Model Interaction: A Case Study Of Cognitive Restructuring (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 48 citations
  Sharma et al.
• Bridging The Gap: A Unified Video Comprehension Framework For Moment Retrieval And Highlight Detection (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 30 citations
  Xiao et al.
• Dual Use Concerns Of Generative AI And Large Language Models (2023) • Journal of Responsible Innovation • 19 citations
  Alexei Grinbaum, Laurynas Adomaitis
• Linguistically Informed Chatgpt Prompts To Enhance Japanese-chinese Machine Translation: A Case Study On Attributive Clauses (2023) • Arxiv • 11 citations
  Wenshi Gu
• Character-llm: A Trainable Agent For Role-playing (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 73 citations
  Shao et al.
• Mitigating Large Language Model Hallucinations Via Autonomous Knowledge Graph-based Retrofitting (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 44 citations
  Guan et al.
• Revisiting Neural Retrieval On Accelerators (2023) • KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining • 16 citations
  Zhai et al.
• Hallucinations In Large Multilingual Translation Models (2023) • Transactions of the Association for Computational Linguistics • 83 citations
  Guerreiro et al.
• Chatbots As Social Companions: How People Perceive Consciousness, Human Likeness, And Social Health Benefits In Machines (2023) • Oxford Intersections: AI in Society • 12 citations
  Rose E. Guingrich, Michael S. A. Graziano
• Knowledgenavigator: Leveraging Large Language Models For Enhanced Reasoning Over Knowledge Graph (2023) • Complex & Intelligent Systems • 24 citations
  Guo et al.
• Enhancing Retrieval-augmented Large Language Models With Iterative Retrieval-generation Synergy (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 109 citations
  Shao et al.
• Lmdrive: Closed-loop End-to-end Driving With Large Language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 91 citations
  Shao et al.
• Using Large Language Models To Generate, Validate, And Apply User Intent Taxonomies (2023) • ACM Transactions on the Web • 11 citations
  Shah et al.
• Towards Learning A Generalist Model For Embodied Navigation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 27 citations
  Zheng et al.
• Navgpt: Explicit Reasoning In Vision-and-language Navigation With Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 111 citations
  Gengze Zhou, Yicong Hong, Qi Wu
• Let's Have A Chat! A Conversation With Chatgpt: Technology, Applications, And Limitations (2023) • Artificial Intelligence and Applications • 97 citations
  Sakib Shahriar, Kadhim Hayawi
• Artificial Muses: Generative Artificial Intelligence Chatbots Have Risen To Human-level Creativity (2023) • Journal of Creativity • 178 citations
  Jennifer Haase, Paul H. P. Hanel
• Opportunities For Large Language Models And Discourse In Engineering Design (2023) • Energy and AI • 13 citations
  Göpfert et al.
• Regulating Chatgpt And Other Large Generative AI Models (2023) • 2023 ACM Conference on Fairness Accountability and Transparency • 376 citations
  Philipp Hacker, Andreas Engel, Marco Mauer
• Machine Psychology (2023) • Arxiv • 64 citations
  Hagendorff et al.
• Human-like Intuitive Behavior And Reasoning Biases Emerged In Language Models -- And Disappeared In GPT-4 (2023) • Nature Computational Science • 154 citations
  Thilo Hagendorff, Sarah Fabi
• ISR-LLM: Iterative Self-refined Large Language Model For Long-horizon Sequential Task Planning (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 42 citations
  Zhou et al.
• A Critical Review Of Large Language Models: Sensitivity, Bias, And The Path Toward Specialized AI (2023) • Quantitative Science Studies • 29 citations
  Arash Hajikhani, Carolyn Cole
• Lm-infinite: Simple On-the-fly Length Generalization For Large Language Models (2023) • No Venue
  Han et al.
• Inductive Reasoning In Humans And Large Language Models (2023) • Cognitive Systems Research • 36 citations
  Han et al.
• Chacha: Leveraging Large Language Models To Prompt Children To Share Their Emotions About Personal Events (2023) • CHI '24: CHI Conference on Human Factors in Computing Systems • 37 citations
  Woosuk Seo, Chanmo Yang, Young-Ho Kim
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• Emoji2vec: Learning Emoji Representations From Their Description (2016) • Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media • 139 citations
  Eisner et al.
• A Fast Unified Model For Parsing And Sentence Understanding (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 96 citations
  Bowman et al.
• Fully Character-level Neural Machine Translation Without Explicit Segmentation (2016) • Transactions of the Association for Computational Linguistics • 133 citations
  Jason Lee, Kyunghyun Cho, Thomas Hofmann
• Syntactically Guided Neural Machine Translation (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 16 citations
  Stahlberg et al.
• A Decomposable Attention Model For Natural Language Inference (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 653 citations
  Parikh et al.
• Coverage Embedding Models For Neural Machine Translation (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 49 citations
  Mi et al.
• Sequence-to-sequence Generation For Spoken Dialogue Via Deep Syntax Trees And Strings (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 35 citations
  Ondřej Dušek, Filip Jurčíček
• Context Gates For Neural Machine Translation (2016) • Transactions of the Association for Computational Linguistics • 41 citations
  Tu et al.
• Natural Language Comprehension With The Epireader (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 25 citations
  Trischler et al.
• Conversational Recommendation System With Unsupervised Learning (2016) • RecSys '16: Tenth ACM Conference on Recommender Systems • 14 citations
  Sun et al.
• Natural Language Generation Enhances Human Decision-making With Uncertain Information (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 33 citations
  Dimitra Gkatzia, Oliver Lemon, Verena Rieser
• A Parallel-hierarchical Model For Machine Comprehension On Sparse Data (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 12 citations
  Trischler et al.
• Interpreting Neural Networks To Improve Politeness Comprehension (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 20 citations
  Malika Aubakirova, Mohit Bansal
• Reference-aware Language Models (2016) • Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Yang et al.
• Text Understanding With The Attention Sum Reader Network (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 97 citations
  Kadlec et al.
• Compositional Sequence Labeling Models For Error Detection In Learner Writing (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 32 citations
  Marek Rei, Helen Yannakoudakis
• How Grammatical Is Character-level Neural Machine Translation? Assessing MT Quality With Contrastive Translation Pairs (2016) • Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers • 18 citations
  Rico Sennrich
• Sentence Ordering And Coherence Modeling Using Recurrent Neural Networks (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 31 citations
  Lajanugen Logeswaran, Honglak Lee, Dragomir Radev
• Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions (2016) • Information Retrieval Journal • 17 citations
  Carrara et al.
• TGIF: A New Dataset And Benchmark On Animated GIF Description (2016) • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 150 citations
  Li et al.
• Show And Tell: Lessons Learned From The 2015 MSCOCO Image Captioning Challenge (2016) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 615 citations
  Vinyals et al.
• Deep Active Learning For Dialogue Generation (2016) • Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017) • 15 citations
  Asghar et al.
• Incorporating Discrete Translation Lexicons Into Neural Machine Translation (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 50 citations
  Philip Arthur, Graham Neubig, Satoshi Nakamura
• Learning Variable Length Units For SMT Between Related Languages Via Byte Pair Encoding (2016) • Proceedings of the First Workshop on Subword and Character Level Models in NLP • 11 citations
  Anoop Kunchukuttan, Pushpak Bhattacharyya
• Hierarchical Neural Language Models For Joint Representation Of Streaming Documents And Their Content (2016) • WWW '15: 24th International World Wide Web Conference • 46 citations
  Djuric et al.
• CFO: Conditional Focused Neural Question Answering With Large-scale Knowledge Bases (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 75 citations
  Zihang Dai, Lei Li, Wei Xu
• Explaining Predictions Of Non-linear Classifiers In NLP (2016) • Proceedings of the 1st Workshop on Representation Learning for NLP • 33 citations
  Arras et al.
• Achieving Open Vocabulary Neural Machine Translation With Hybrid Word-character Models (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 108 citations
  Minh-Thang Luong, Christopher D. Manning
• Learning Language Games Through Interaction (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 28 citations
  Sida I. Wang, Percy Liang, Christopher D. Manning
• Towards Machine Comprehension Of Spoken Content: Initial TOEFL Listening Comprehension Test By Machine (2016) • Interspeech 2016 • 17 citations
  Tseng et al.
• Neural Generation Of Regular Expressions From Natural Language With Minimal Domain Knowledge (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 38 citations
  Locascio et al.
• Phrase-based Machine Translation Is State-of-the-art For Automatic Grammatical Error Correction (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 26 citations
  Marcin Junczys-Dowmunt, Roman Grundkiewicz
• Squad: 100,000+ Questions For Machine Comprehension Of Text (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 2473 citations
  Rajpurkar et al.
• Gender And Interest Targeting For Sponsored Post Advertising At Tumblr (2016) • KDD '15: The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining • 10 citations
  Grbovic et al.
• Using Sentence-level LSTM Language Models For Script Inference (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Karl Pichotta, Raymond J. Mooney
• Memory-enhanced Decoder For Neural Machine Translation (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 18 citations
  Wang et al.
• Improving Lstm-based Video Description With Linguistic Knowledge Mined From Text (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 73 citations
  Venugopalan et al.
• Incremental Parsing With Minimal Features Using Bi-directional LSTM (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 26 citations
  James Cross, Liang Huang
• Multilingual Part-of-speech Tagging With Bidirectional Long Short-term Memory Models And Auxiliary Loss (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 118 citations
  Barbara Plank, Anders Søgaard, Yoav Goldberg
• Neural Text Generation From Structured Data With Application To The Biography Domain (2016) • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing • 148 citations
  Remi Lebret, David Grangier, Michael Auli
• Towards Better Decoding And Language Model Integration In Sequence To Sequence Models (2016) • Interspeech 2017 • 117 citations
  Jan Chorowski, Navdeep Jaitly
• Is Spoken Language All-or-nothing? Implications For Future Speech-based Human-machine Interaction (2016) • Lecture Notes in Electrical Engineering • 37 citations
  Roger K. Moore
• Leveraging Video Descriptions To Learn Video Question Answering (2016) • Proceedings of the AAAI Conference on Artificial Intelligence • 59 citations
  Zeng et al.
• Automatic Generation Of Grounded Visual Questions (2016) • Twenty-Sixth International Joint Conference on Artificial Intelligence • 36 citations
  Zhang et al.
• Greedy, Joint Syntactic-semantic Parsing With Stack Lstms (2016) • Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning • 12 citations
  Swayamdipta et al.
• Semi-supervised Learning For Neural Machine Translation (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 54 citations
  Cheng et al.
• Character-based Neural Machine Translation (2016) • Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 43 citations
  Marta R. Costa-Jussà, José A. R. Fonollosa

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— V —

Vision Language 1767 papers #

• Fantasyvln: Unified Multimodal Chain-of-thought Reasoning For Vision-language Navigation (2026) • No Venue
  Zuo et al.
• Cov: Chain-of-view Prompting For Spatial Reasoning (2026) • No Venue
  Zhao et al.
• Ocrverse: Towards Holistic OCR In End-to-end Vision-language Models (2026) • No Venue
  Zhong et al.
• Acot-vla: Action Chain-of-thought For Vision-language-action Models (2026) • No Venue
  Zhong et al.
• Twinbrainvla: Unleashing The Potential Of Generalist Vlms For Embodied Tasks Via Asymmetric Mixture-of-transformers (2026) • No Venue
  Yu et al.
• PROGRESSLM: Towards Progress Reasoning In Vision-language Models (2026) • No Venue
  Zhang et al.
• Webgym: Scaling Training Environments For Visual Web Agents With Realistic Tasks (2026) • No Venue
  Bai et al.
• VINO: A Unified Visual Generator With Interleaved Omnimodal Context (2026) • No Venue
  Chen et al.
• What Users Leave Unsaid: Under-specified Queries Limit Vision-language Models (2026) • No Venue
  Choi et al.
• Molmo2: Open Weights And Data For Vision-language Models With Video Understanding And Grounding (2026) • No Venue
  Clark et al.
• Unicorn: Towards Self-improving Unified Multimodal Models Through Self-generated Supervision (2026) • No Venue
  Han et al.
• Gutenocr: A Grounded Vision-language Front-end For Documents (2026) • No Venue
  Heidenreich et al.
• Openvoxel: Training-free Grouping And Captioning Voxels For Open-vocabulary 3D Scene Understanding (2026) • No Venue
  Huang et al.
• Fast-thinkact: Efficient Vision-language-action Reasoning Via Verbalizable Latent Planning (2026) • No Venue
  Huang et al.
• Conceptmoe: Adaptive Token-to-concept Compression For Implicit Compute Allocation (2026) • No Venue
  Huang et al.
• STEP3-VL-10B Technical Report (2026) • No Venue
  Huang et al.
• Thinking With Map: Reinforced Parallel Map-augmented Agent For Geolocalization (2026) • No Venue
  Ji et al.
• Avmeme Exam: A Multimodal Multilingual Multicultural Benchmark For Llms' Contextual And Cultural Knowledge And Thinking (2026) • No Venue
  Jiang et al.
• Qwen3-vl-embedding And Qwen3-vl-reranker: A Unified Framework For State-of-the-art Multimodal Retrieval And Ranking (2026) • No Venue
  Li et al.
• Bayesianvla: Bayesian Decomposition Of Vision Language Action Models Via Latent Action Queries (2026) • No Venue
  Lian et al.
• Scientific Image Synthesis: Benchmarking, Methodologies, And Downstream Utility (2026) • No Venue
  Lin et al.
• Mmfinereason: Closing The Multimodal Reasoning Gap Via Open Data-centric Methods (2026) • No Venue
  Lin et al.
• Ministral 3 (2026) • No Venue
  Liu et al.
• Chartverse: Scaling Chart Reasoning Via Reliable Programmatic Synthesis From Scratch (2026) • No Venue
  Liu et al.
• Skinflow: Efficient Information Transmission For Open Dermatological Diagnosis Via Dynamic Visual Encoding And Staged RL (2026) • No Venue
  Liu et al.
• Being-h0.5: Scaling Human-centric Robot Learning For Cross-embodiment Generalization (2026) • No Venue
  Luo et al.
• A Safety Report On GPT-5.2, Gemini 3 Pro, Qwen3-vl, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, And Seedream 4.5 (2026) • No Venue
  Ma et al.
• Typhoon OCR: Open Vision-language Model For Thai Document Extraction (2026) • No Venue
  Nonesung et al.
• Focusui: Efficient UI Grounding Via Position-preserving Visual Token Selection (2026) • No Venue
  Ouyang et al.
• SOP: A Scalable Online Post-training System For Vision-language-action Models (2026) • No Venue
  Pan et al.
• Aligning Text, Code, And Vision: A Multi-objective Reinforcement Learning Framework For Text-to-visualization (2026) • No Venue
  Rahman et al.
• Future Optical Flow Prediction Improves Robot Control & Video Generation (2026) • No Venue
  Ranasinghe et al.
• Danqing: An Up-to-date Large-scale Chinese Vision-language Pre-training Dataset (2026) • No Venue
  Shen et al.
• Lightonocr: A 1B End-to-end Multilingual Vision-language Model For State-of-the-art OCR (2026) • No Venue
  Said Taghadouini, Adrien Cavaillès, Baptiste Aubertin
• Forest Before Trees: Latent Superposition For Efficient Visual Reasoning (2026) • No Venue
  Wang et al.
• Render-of-thought: Rendering Textual Chain-of-thought As Images For Visual Latent Reasoning (2026) • No Venue
  Wang et al.
• Robovip: Multi-view Video Generation With Visual Identity Prompting Augments Robot Manipulation (2026) • No Venue
  Wang et al.
• Urban Socio-semantic Segmentation With Vision-language Reasoning (2026) • No Venue
  Wang et al.
• Visgym: Diverse, Customizable, Scalable Environments For Multimodal Agents (2026) • No Venue
  Wang et al.
• Youtu-vl: Unleashing Visual Potential Via Unified Vision-language Supervision (2026) • No Venue
  Wei et al.
• Deepseek-ocr 2: Visual Causal Flow (2026) • No Venue
  Haoran Wei, Yaofeng Sun, Yukun Li
• Innovator-vl: A Multimodal Large Language Model For Scientific Discovery (2026) • No Venue
  Wen et al.
• A Pragmatic VLA Foundation Model (2026) • No Venue
  Wu et al.
• Dynamicvla: A Vision-language-action Model For Dynamic Object Manipulation (2026) • No Venue
  Xie et al.
• Mmformalizer: Multimodal Autoformalization In The Wild (2026) • No Venue
  Xiong et al.
• Os-symphony: A Holistic Framework For Robust And Generalist Computer-using Agent (2026) • No Venue
  Yang et al.
• R1-zero's "aha Moment" In Visual Reasoning On A 2B Non-sft Model (2025) • No Venue
  Zhou et al.
• Roborefer: Towards Spatial Referring With Reasoning In Vision-language Models For Robotics (2025) • No Venue
  Zhou et al.
• Learning To Reason In 4D: Dynamic Spatial Understanding For Vision Language Models (2025) • No Venue
  Zhou et al.
• Feature4x: Bridging Any Monocular Video To 4D Agentic AI With Versatile Gaussian Feature Fields (2025) • No Venue
  Zhou et al.
• Robotracer: Mastering Spatial Trace With Reasoning In Vision-language Models For Robotics (2025) • No Venue
  Zhou et al.
• Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study On Information-seeking QA Over Scientific Papers (2025) • No Venue
  Zhao et al.
• VLA^2: Empowering Vision-language-action Models With An Agentic Framework For Unseen Concept Manipulation (2025) • No Venue
  Zhao et al.
• Multimodal Spatial Reasoning In The Large Model Era: A Survey And Benchmarks (2025) • No Venue
  Zheng et al.
• Pairuni: Pairwise Training For Unified Multimodal Language Models (2025) • No Venue
  Zheng et al.
• X-VLA: Soft-prompted Transformer As Scalable Cross-embodiment Vision-language-action Model (2025) • No Venue
  Zheng et al.
• VEM: Environment-free Exploration For Training GUI Agent With Value Environment Model (2025) • No Venue
  Zheng et al.
• A Survey On Vision-language-action Models: An Action Tokenization Perspective (2025) • No Venue
  Zhong et al.
• 4kagent: Agentic Any Image To 4K Super-resolution (2025) • No Venue
  Zuo et al.
• Through-the-mask: Mask-based Motion Trajectories For Image-to-video Generation (2025) • No Venue
  Yariv et al.
• Dynvfx: Augmenting Real Videos With Dynamic Content (2025) • No Venue
  Yatim et al.
• VLA-R1: Enhancing Reasoning In Vision-language-action Models (2025) • No Venue
  Ye et al.
• Dream-vl & Dream-vla: Open Vision-language And Vision-language-action Models With Diffusion Language Model Backbone (2025) • No Venue
  Ye et al.
• Imgedit: A Unified Image Editing Dataset And Benchmark (2025) • No Venue
  Ye et al.
• Spatial Mental Modeling From Limited Views (2025) • No Venue
  Yin et al.
• REASONEDIT: Towards Reasoning-enhanced Image Editing Models (2025) • No Venue
  Yin et al.
• SAIL-VL2 Technical Report (2025) • No Venue
  Yin et al.
• Towards Omnimodal Expressions And Reasoning In Referring Audio-visual Segmentation (2025) • No Venue
  Ying et al.
• Unicorn: Text-only Data Synthesis For Vision Language Model Training (2025) • No Venue
  Yu et al.
• How Far Are Vlms From Visual Spatial Intelligence? A Benchmark-driven Perspective (2025) • No Venue
  Yu et al.
• Discrete Diffusion In Large Language And Multimodal Models: A Survey (2025) • No Venue
  Runpeng Yu, Qi Li, Xinchao Wang
• Introducing Visual Perception Token Into Multimodal Large Language Model (2025) • No Venue
  Runpeng Yu, Xinyin Ma, Xinchao Wang
• Vismem: Latent Vision Memory Unlocks Potential Of Vision-language Models (2025) • No Venue
  Yu et al.
• Mme-reasoning: A Comprehensive Benchmark For Logical Reasoning In Mllms (2025) • No Venue
  Yuan et al.
• Cad-editor: A Locate-then-infill Framework With Automated Training Data Synthesis For Text-based CAD Editing (2025) • No Venue
  Yuan et al.
• Being-0: A Humanoid Robotic Agent With Vision-language Models And Modular Skills (2025) • No Venue
  Yuan et al.
• Efficientllm: Efficiency In Large Language Models (2025) • No Venue
  Yuan et al.
• Embodied-r1: Reinforced Embodied Reasoning For General Robotic Manipulation (2025) • No Venue
  Yuan et al.
• GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems In Visual Contexts (2025) • No Venue
  Yuan et al.
• Tarsier2: Advancing Large Vision-language Models From Detailed Video Description To Comprehensive Video Understanding (2025) • No Venue
  Yuan et al.
• Sa2va: Marrying SAM2 With Llava For Dense Grounded Understanding Of Images And Videos (2025) • No Venue
  Yuan et al.
• Vl-cogito: Progressive Curriculum Reinforcement Learning For Advanced Multimodal Reasoning (2025) • No Venue
  Yuan et al.
• Vector Prism: Animating Vector Graphics By Stratifying Semantic Structure (2025) • No Venue
  Jooyeol Yun, Jaegul Choo
• Internlm-xcomposer2.5-reward: A Simple Yet Effective Multi-modal Reward Model (2025) • No Venue
  Zang et al.
• Rlinf-vla: A Unified And Efficient Framework For VLA+RL Training (2025) • No Venue
  Zang et al.
• MIRA: Multimodal Iterative Reasoning Agent For Image Editing (2025) • No Venue
  Ziyun Zeng, Hang Hua, Jiebo Luo
• A Glimpse To Compress: Dynamic Visual Token Pruning For Large Vision-language Models (2025) • No Venue
  Zeng et al.
• Agentic Jigsaw Interaction Learning For Enhancing Visual Perception And Reasoning In Vision-language Models (2025) • No Venue
  Zeng et al.
• Diffusionvl: Translating Any Autoregressive Models Into Diffusion Vision Language Models (2025) • No Venue
  Zeng et al.
• A Vision-language-action-critic Model For Robotic Real-world Reinforcement Learning (2025) • No Venue
  Zhai et al.
• Vision-r1: Evolving Human-free Alignment In Large Vision-language Models Via Vision-guided Reinforcement Learning (2025) • No Venue
  Zhan et al.
• CCD: Mitigating Hallucinations In Radiology Mllms Via Clinical Contrastive Decoding (2025) • No Venue
  Zhang et al.
• A4-agent: An Agentic Framework For Zero-shot Affordance Reasoning (2025) • No Venue
  Zhang et al.
• 2.5 Years In Class: A Multimodal Textbook For Vision-language Pretraining (2025) • No Venue
  Zhang et al.
• Breaking The Data Barrier -- Building GUI Agents Through Task Generalization (2025) • No Venue
  Zhang et al.
• Reasongen-r1: Cot For Autoregressive Image Generation Models Through SFT And RL (2025) • No Venue
  Zhang et al.
• From Spatial To Actions: Grounding Vision-language-action Model In Spatial Foundation Priors (2025) • No Venue
  Zhang et al.
• Dig-flow: Discrepancy-guided Flow Matching For Robust VLA Models (2025) • No Venue
  Zhang et al.
• Dreamvla: A Vision-language-action Model Dreamed With Comprehensive World Knowledge (2025) • No Venue
  Zhang et al.
• Llava-mini: Efficient Image And Video Large Multimodal Models With One Vision Token (2025) • No Venue
  Zhang et al.
• Generative Universal Verifier As Multimodal Meta-reasoner (2025) • No Venue
  Zhang et al.
• In-context Edit: Enabling Instructional Image Editing With In-context Generation In Large Scale Diffusion Transformer (2025) • No Venue
  Zhang et al.
• Latent Sketchpad: Sketching Visual Thoughts To Elicit Multimodal Reasoning In Mllms (2025) • No Venue
  Zhang et al.
• IVY-FAKE: A Unified Explainable Framework And Benchmark For Image And Video AIGC Detection (2025) • No Venue
  Zhang et al.
• NAVIG: Natural Language-guided Analysis With Vision Language Models For Image Geo-localization (2025) • No Venue
  Zhang et al.
• Openmmreasoner: Pushing The Frontiers For Multimodal Reasoning With An Open And General Recipe (2025) • No Venue
  Zhang et al.
• Pixel-sail: Single Transformer For Pixel-grounded Understanding (2025) • No Venue
  Zhang et al.
• Phi-ground Tech Report: Advancing Perception In GUI Grounding (2025) • No Venue
  Zhang et al.
• Phystoolbench: Benchmarking Physical Tool Understanding For Mllms (2025) • No Venue
  Zhang et al.
• Postergen: Aesthetic-aware Paper-to-poster Generation Via Multi-agent Llms (2025) • No Venue
  Zhang et al.
• Vlm^2-bench: A Closer Look At How Well Vlms Implicitly Link Explicit Matching Visual Cues (2025) • No Venue
  Zhang et al.
• See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning (2025) • No Venue
  Zhang et al.
• Sec: Advancing Complex Video Object Segmentation Via Progressive Concept Construction (2025) • No Venue
  Zhang et al.
• TARS: Minmax Token-adaptive Preference Strategy For Hallucination Reduction In Mllms (2025) • No Venue
  Zhang et al.
• Vision-language-vision Auto-encoder: Scalable Knowledge Distillation From Diffusion Models (2025) • No Venue
  Zhang et al.
• Towards Mixed-modal Retrieval For Universal Retrieval-augmented Generation (2025) • No Venue
  Zhang et al.
• Trivia: Self-supervised Fine-tuning Of Vision-language Models For Table Recognition (2025) • No Venue
  Zhang et al.
• Videollama 3: Frontier Multimodal Foundation Models For Image And Video Understanding (2025) • No Venue
  Zhang et al.
• World Simulation With Video Foundation Models For Physical AI (2025) • No Venue
  Nvidia et al.
• NVIDIA Nemotron Nano V2 VL (2025) • No Venue
  Nvidia et al.
• Phi-4-mini Technical Report: Compact Yet Powerful Multimodal Language Models Via Mixture-of-loras (2025) • No Venue
  Abouelenin et al.
• LFM2 Technical Report (2025) • No Venue
  Amini et al.
• Llava-onevision-1.5: Fully Open Framework For Democratized Multimodal Training (2025) • No Venue
  An et al.
• Surfer 2: The Next Generation Of Cross-platform Computer Use Agents (2025) • No Venue
  Andreux et al.
• On The Limitations Of Vision-language Models In Understanding Image Transforms (2025) • No Venue
  Ahmad Mustafa Anis, Hasnain Ali, Saquib Sarfraz
• DASH: Detection And Assessment Of Systematic Hallucinations Of Vlms (2025) • No Venue
  Maximilian Augustin, Yannic Neuhaus, Matthias Hein
• Qwen2.5-vl Technical Report (2025) • No Venue
  Bai et al.
• Qwen3-vl Technical Report (2025) • No Venue
  Bai et al.
• Honeybee: Data Recipes For Vision-language Reasoners (2025) • No Venue
  Bansal et al.
• Spatialthinker: Reinforcing 3D Reasoning In Multimodal Llms Via Spatial Rewards (2025) • No Venue
  Batra et al.
• NOVA: A Benchmark For Anomaly Localization And Clinical Reasoning In Brain MRI (2025) • No Venue
  Bercea et al.
• Why Reasoning Matters? A Survey Of Advancements In Multimodal Reasoning (v1) (2025) • No Venue
  Bi et al.
• VERIFY: A Benchmark Of Visual Explanation And Reasoning For Investigating Multimodal Reasoning Fidelity (2025) • No Venue
  Bi et al.
• Perception Encoder: The Best Visual Embeddings Are Not At The Output Of The Network (2025) • No Venue
  Bolya et al.
• Enhancing Vision-language Model Training With Reinforcement Learning In Synthetic Worlds For Real-world Success (2025) • No Venue
  Bredis et al.
• Microvqa: A Multimodal Reasoning Benchmark For Microscopy-based Scientific Research (2025) • No Venue
  Burgess et al.
• CASA: Cross-attention Via Self-attention For Efficient Vision-language Fusion (2025) • No Venue
  Böhle et al.
• Crowdsource, Crawl, Or Generate? Creating SEA-VL, A Multicultural Vision-language Dataset For Southeast Asia (2025) • No Venue
  Cahyawijaya et al.
• MORSE-500: A Programmatically Controllable Video Benchmark To Stress-test Multimodal Reasoning (2025) • No Venue
  Cai et al.
• Phygdpo: Physics-aware Groupwise Direct Preference Optimization For Physically Consistent Text-to-video Generation (2025) • No Venue
  Cai et al.
• Compose Your Policies! Improving Diffusion-based Or Flow-based Robot Policies Via Test-time Distribution-level Composition (2025) • No Venue
  Cao et al.
• Unipercept: Towards Unified Perceptual-level Image Understanding Across Aesthetics, Quality, Structure, And Texture (2025) • No Venue
  Cao et al.
• Worldvla: Towards Autoregressive Action World Model (2025) • No Venue
  Cen et al.
• Rynnvla-002: A Unified Vision-language-action And World Model (2025) • No Venue
  Cen et al.
• Villa-x: Enhancing Latent Action Modeling In Vision-language-action Models (2025) • No Venue
  Chen et al.
• GR-3 Technical Report (2025) • No Venue
  Cheang et al.
• Advancing Multimodal Reasoning: From Optimized Cold Start To Staged Reinforcement Learning (2025) • No Venue
  Chen et al.
• Code2video: A Code-centric Paradigm For Educational Video Generation (2025) • No Venue
  Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou
• Bring Reason To Vision: Understanding Perception And Reasoning Through Model Merging (2025) • No Venue
  Chen et al.
• ERA: Transforming Vlms Into Embodied Agents Via Embodied Prior Learning And Online Reinforcement Learning (2025) • No Venue
  Chen et al.
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• Divide And Conquer: Language Models Can Plan And Self-correct For Compositional Text-to-image Generation (2024) • No Venue
  Wang et al.
• COSMO: Contrastive Streamlined Multimodal Model With Interleaved Pre-training (2024) • No Venue
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• Slowfast-llava: A Strong Training-free Baseline For Video Large Language Models (2024) • No Venue
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• Llava-φ: Efficient Multi-modal Assistant With Small Language Model (2024) • No Venue
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• DOCCI: Descriptions Of Connected And Contrasting Images (2024) • No Venue
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• Discriminative Fine-tuning Of Lvlms (2024) • No Venue
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• BALROG: Benchmarking Agentic LLM And VLM Reasoning On Games (2024) • No Venue
  Paglieri et al.
• Gemini Goes To Med School: Exploring The Capabilities Of Multimodal Large Language Models On Medical Challenge Problems & Hallucinations (2024) • Proceedings of the 6th Clinical Natural Language Processing Workshop • 22 citations
  Ankit Pal, Malaikannan Sankarasubbu
• Diffusion Augmented Agents: A Framework For Efficient Exploration And Transfer Learning (2024) • No Venue
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• VLP: Vision Language Planning For Autonomous Driving (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 44 citations
  Pan et al.
• Unifying 3D Vision-language Understanding Via Promptable Queries (2024) • Lecture Notes in Computer Science • 15 citations
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• VHM: Versatile And Honest Vision Language Model For Remote Sensing Image Analysis (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 14 citations
  Pang et al.
• The Neglected Tails In Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
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• Prompt Learning Via Meta-regularization (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim
• Visionzip: Longer Is Better But Not Necessary In Vision Language Models (2024) • No Venue
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• Dense Connector For Mllms (2024) • No Venue
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• Prism: A Framework For Decoupling And Assessing The Capabilities Of Vlms (2024) • No Venue
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• Dreamhoi: Subject-driven Generation Of 3D Human-object Interactions With Diffusion Priors (2024) • No Venue
  Thomas Hanwen Zhu, Ruining Li, Tomas Jakab
• Xgen-videosyn-1: High-fidelity Text-to-video Synthesis With Compressed Representations (2024) • No Venue
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• Pyramiddrop: Accelerating Your Large Vision-language Models Via Pyramid Visual Redundancy Reduction (2024) • No Venue
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• Mitigating Object Hallucination Via Concentric Causal Attention (2024) • No Venue
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• Vision Language Models Are Blind (2024) • No Venue
  Rahmanzadehgervi et al.
• Learning To Localize Objects Improves Spatial Reasoning In Visual-llms (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Ranasinghe et al.
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• Do Llms Understand Visual Anomalies? Uncovering Llm's Capabilities In Zero-shot Anomaly Detection (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 15 citations
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• Explore Until Confident: Efficient Exploration For Embodied Question Answering (2024) • Robotics: Science and Systems 2024 • 17 citations
  Ren et al.
• Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models And Vision Language Models (2024) • ICMR '24: International Conference on Multimedia Retrieval • 11 citations
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• Show-o: One Single Transformer To Unify Multimodal Understanding And Generation (2024) • No Venue
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• Xgen-mm-vid (blip-3-video): You Only Need 32 Tokens To Represent A Video Even In Vlms (2024) • No Venue
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• Taiyi-diffusion-xl: Advancing Bilingual Text-to-image Generation With Large Vision-language Model Support (2024) • No Venue
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• Contextual: Evaluating Context-sensitive Text-rich Visual Reasoning In Large Multimodal Models (2024) • No Venue
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• Switti: Designing Scale-wise Transformers For Text-to-image Synthesis (2024) • No Venue
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• One Missing Piece In Vision And Language: A Survey On Comics Understanding (2024) • No Venue
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• Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort Via LLM Tool-use (2024) • No Venue
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• Pllava : Parameter-free Llava Extension From Images To Videos For Video Dense Captioning (2024) • No Venue
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• From Pixels To Prose: A Large Dataset Of Dense Image Captions (2024) • No Venue
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• COAT: Compressing Optimizer States And Activation For Memory-efficient FP8 Training (2024) • No Venue
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• MARVEL-40M+: Multi-level Visual Elaboration For High-fidelity Text-to-3d Content Creation (2024) • No Venue
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• Xmodel-vlm: A Simple Baseline For Multimodal Vision Language Model (2024) • No Venue
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• Recent Advances Of Foundation Language Models-based Continual Learning: A Survey (2024) • ACM Computing Surveys • 23 citations
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• Paligemma 2: A Family Of Versatile Vlms For Transfer (2024) • No Venue
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• Os-genesis: Automating GUI Agent Trajectory Construction Via Reverse Task Synthesis (2024) • No Venue
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• X-prompt: Towards Universal In-context Image Generation In Auto-regressive Vision Language Foundation Models (2024) • No Venue
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• Sampart3d: Segment Any Part In 3D Objects (2024) • No Venue
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• Mobilevlm: A Vision-language Model For Better Intra- And Inter-ui Understanding (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 12 citations
  Wu et al.
• AUTOHALLUSION: Automatic Generation Of Hallucination Benchmarks For Vision-language Models (2024) • No Venue
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• Vmix: Improving Text-to-image Diffusion Model With Cross-attention Mixing Control (2024) • No Venue
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• Llavaolmobitnet1b: Ternary LLM Goes Multimodal! (2024) • No Venue
  Jainaveen Sundaram, Ravishankar Iyer
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• Amu-tuning: Effective Logit Bias For Clip-based Few-shot Learning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 19 citations
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• Videogamebunny: Towards Vision Assistants For Video Games (2024) • No Venue
  Mohammad Reza Taesiri, Cor-Paul Bezemer
• Multimodal Misinformation Detection Using Large Vision-language Models (2024) • CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management • 14 citations
  Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth
• Longvideobench: A Benchmark For Long-context Interleaved Video-language Understanding (2024) • No Venue
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• Mimir: Improving Video Diffusion Models For Precise Text Understanding (2024) • No Venue
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• Vidgen-1m: A Large-scale Dataset For Text-to-video Generation (2024) • No Venue
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• A Unified View Of Delta Parameter Editing In Post-trained Large-scale Models (2024) • No Venue
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• Minigpt-3d: Efficiently Aligning 3D Point Clouds With Large Language Models Using 2D Priors (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 14 citations
  Tang et al.
• Textsquare: Scaling Up Text-centric Visual Instruction Tuning (2024) • No Venue
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• Logical Closed Loop: Uncovering Object Hallucinations In Large Vision-language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Wu et al.
• Janus: Decoupling Visual Encoding For Unified Multimodal Understanding And Generation (2024) • No Venue
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• Diffsensei: Bridging Multi-modal Llms And Diffusion Models For Customized Manga Generation (2024) • No Venue
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• Octo: An Open-source Generalist Robot Policy (2024) • No Venue
  Team et al.
• Chameleon: Mixed-modal Early-fusion Foundation Models (2024) • No Venue
  Chameleon Team
• Scaling Instructable Agents Across Many Simulated Worlds (2024) • No Venue
  Team et al.
• Multi-modal Adapter For Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 38 citations
  Seputis et al.
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• Inserf: Text-driven Generative Object Insertion In Neural 3D Scenes (2024) • No Venue
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• Few-shot Adaptation Of Medical Vision-language Models (2024) • Lecture Notes in Computer Science • 19 citations
  Shakeri et al.
• Detecting And Mitigating Hallucination In Large Vision Language Models Via Fine-grained AI Feedback (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
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• Exploring Multi-grained Concept Annotations For Multimodal Large Language Models (2024) • No Venue
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• Yell At Your Robot: Improving On-the-fly From Language Corrections (2024) • Robotics: Science and Systems 2024 • 28 citations
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• Llava-o1: Let Vision Language Models Reason Step-by-step (2024) • No Venue
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• MMIE: Massive Multimodal Interleaved Comprehension Benchmark For Large Vision-language Models (2024) • No Venue
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• RULE: Reliable Multimodal RAG For Factuality In Medical Vision Language Models (2024) • No Venue
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• Compositional 3d-aware Video Generation With LLM Director (2024) • No Venue
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• Mmed-rag: Versatile Multimodal RAG System For Medical Vision Language Models (2024) • No Venue
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• Realmdreamer: Text-driven 3D Scene Generation With Inpainting And Depth Diffusion (2024) • No Venue
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• TIP-I2V: A Million-scale Real Text And Image Prompt Dataset For Image-to-video Generation (2024) • No Venue
  Wenhao Wang, Yi Yang
• Dynamath: A Dynamic Visual Benchmark For Evaluating Mathematical Reasoning Robustness Of Vision Language Models (2024) • No Venue
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• Lscenellm: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences (2024) • No Venue
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• Pixtral 12B (2024) • No Venue
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• Maya: An Instruction Finetuned Multilingual Multimodal Model (2024) • No Venue
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• Unibench: Visual Reasoning Requires Rethinking Vision-language Beyond Scaling (2024) • No Venue
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• Llana: Large Language And Nerf Assistant (2024) • No Venue
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• Covla: Comprehensive Vision-language-action Dataset For Autonomous Driving (2024) • 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 10 citations
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• Hired: Attention-guided Token Dropping For Efficient Inference Of High-resolution Vision-language Models In Resource-constrained Environments (2024) • No Venue
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• Agrogpt: Efficient Agricultural Vision-language Model With Expert Tuning (2024) • 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 11 citations
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• Screenai: A Vision-language Model For UI And Infographics Understanding (2024) • No Venue
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• From Generalist To Specialist: Adapting Vision Language Models Via Task-specific Visual Instruction Tuning (2024) • No Venue
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• Distilling Vision-language Models On Millions Of Videos (2024) • No Venue
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• Evolvedirector: Approaching Advanced Text-to-image Generation With Large Vision-language Models (2024) • No Venue
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• Knowledge Transfer Across Modalities With Natural Language Supervision (2024) • No Venue
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• Lumiere: A Space-time Diffusion Model For Video Generation (2024) • No Venue
  Bar-Tal et al.
• SWIFT:A Scalable Lightweight Infrastructure For Fine-tuning (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
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• Monoformer: One Transformer For Both Diffusion And Autoregression (2024) • No Venue
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• MUMU: Bootstrapping Multimodal Image Generation From Text-to-image Data (2024) • No Venue
  William Berman, Alexander Peysakhovich
• Paligemma: A Versatile 3B VLM For Transfer (2024) • No Venue
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• Beyond Text: Frozen Large Language Models In Visual Signal Comprehension (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Lei Zhu, Fangyun Wei, Yanye Lu
• Improving Fine-grained Understanding In Image-text Pre-training (2024) • No Venue
  Bica et al.
• Unsupervised Domain Adaption Harnessing Vision-language Pre-training (2024) • IEEE Transactions on Circuits and Systems for Video Technology • 15 citations
  Wenlve Zhou, Zhiheng Zhou
• Visual In-context Learning For Large Vision-language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 17 citations
  Zhou et al.
• Navgpt-2: Unleashing Navigational Reasoning Capability For Large Vision-language Models (2024) • Lecture Notes in Computer Science • 22 citations
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• Transfusion: Predict The Next Token And Diffuse Images With One Multi-modal Model (2024) • No Venue
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• Megapairs: Massive Data Synthesis For Universal Multimodal Retrieval (2024) • No Venue
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• Code-as-monitor: Constraint-aware Visual Programming For Reactive And Proactive Robotic Failure Detection (2024) • No Venue
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• Tinyllava: A Framework Of Small-scale Large Multimodal Models (2024) • No Venue
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• An Introduction To Vision-language Modeling (2024) • No Venue
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• Logah: Predicting 774-million-parameter Transformers Using Graph Hypernetworks With 1/100 Parameters (2024) • No Venue
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• Embodied Understanding Of Driving Scenarios (2024) • Lecture Notes in Computer Science • 12 citations
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• Wiki-llava: Hierarchical Retrieval-augmented Generation For Multimodal Llms (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 28 citations
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• Diffusion Self-distillation For Zero-shot Customized Image Generation (2024) • No Venue
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• On The Compositional Generalization Of Multimodal Llms For Medical Imaging (2024) • No Venue
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• Benchx: A Unified Benchmark Framework For Medical Vision-language Pretraining On Chest X-rays (2024) • No Venue
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• 3D-VLA: A 3D Vision-language-action Generative World Model (2024) • No Venue
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• Vision Search Assistant: Empower Vision-language Models As Multimodal Search Engines (2024) • No Venue
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• MADTP: Multimodal Alignment-guided Dynamic Token Pruning For Accelerating Vision-language Transformer (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Cao et al.
• Chart-based Reasoning: Transferring Capabilities From Llms To Vlms (2024) • No Venue
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• Clove: Encoding Compositional Language In Contrastive Vision-language Models (2024) • No Venue
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• Document Parsing Unveiled: Techniques, Challenges, And Prospects For Structured Information Extraction (2024) • No Venue
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• Dolphin: Long Context As A New Modality For Energy-efficient On-device Language Models (2024) • No Venue
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• Getting It Right: Improving Spatial Consistency In Text-to-image Models (2024) • No Venue
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• Veagle: Advancements In Multimodal Representation Learning (2024) • No Venue
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• Still-moving: Customized Video Generation Without Customized Video Data (2024) • No Venue
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• Are We On The Right Way For Evaluating Large Vision-language Models? (2024) • Advances in Neural Information Processing Systems 37 • 17 citations
  Chen et al.
• A Spark Of Vision-language Intelligence: 2-dimensional Autoregressive Transformer For Efficient Finegrained Image Generation (2024) • No Venue
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• An Image Is Worth 1/2 Tokens After Layer 2: Plug-and-play Inference Acceleration For Large Vision-language Models (2024) • No Venue
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• Chexagent: Towards A Foundation Model For Chest X-ray Interpretation (2024) • No Venue
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• Compcap: Improving Multimodal Large Language Models With Composite Captions (2024) • No Venue
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• Contrastive Localized Language-image Pre-training (2024) • No Venue
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• Navid: Video-based VLM Plans The Next Step For Vision-and-language Navigation (2024) • Robotics: Science and Systems 2024 • 44 citations
  Zhang et al.
• Panda-70m: Captioning 70M Videos With Multiple Cross-modality Teachers (2024) • No Venue
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• Mega-bench: Scaling Multimodal Evaluation To Over 500 Real-world Tasks (2024) • No Venue
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• EMOVA: Empowering Language Models To See, Hear And Speak With Vivid Emotions (2024) • No Venue
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• EVLM: An Efficient Vision-language Model For Visual Understanding (2024) • No Venue
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• Frozenseg: Harmonizing Frozen Foundation Models For Open-vocabulary Segmentation (2024) • No Venue
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• Florence-vl: Enhancing Vision-language Models With Generative Vision Encoder And Depth-breadth Fusion (2024) • No Venue
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• Gmai-mmbench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI (2024) • No Venue
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• How Far Are We To GPT-4V? Closing The Gap To Commercial Multimodal Models With Open-source Suites (2024) • No Venue
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• Interleaved Scene Graph For Interleaved Text-and-image Generation Assessment (2024) • No Venue
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• Multi-object Hallucination In Vision-language Models (2024) • No Venue
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• Omnicreator: Self-supervised Unified Generation With Universal Editing (2024) • No Venue
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• Videollm-online: Online Video Large Language Model For Streaming Video (2024) • No Venue
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• Spatialvlm: Endowing Vision-language Models With Spatial Reasoning Capabilities (2024) • No Venue
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• Sharegpt4video: Improving Video Understanding And Generation With Better Captions (2024) • No Venue
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• Subobject-level Image Tokenization (2024) • No Venue
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• OCR Hinders RAG: Evaluating The Cascading Impact Of OCR On Retrieval-augmented Generation (2024) • No Venue
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• UFO: A Ui-focused Agent For Windows OS Interaction (2024) • No Venue
  Zhang et al.
• WSI-VQA: Interpreting Whole Slide Images By Generative Visual Question Answering (2024) • Lecture Notes in Computer Science • 14 citations
  Chen et al.
• Vitamin: Designing Scalable Vision Models In The Vision-language Era (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Chen et al.
• Vision Language Model For Interpretable And Fine-grained Detection Of Safety Compliance In Diverse Workplaces (2024) • Expert Systems with Applications • 20 citations
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• VCR: Visual Caption Restoration (2024) • No Venue
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• Omg-llava: Bridging Image-level, Object-level, Pixel-level Reasoning And Understanding (2024) • No Venue
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• Multimodal Self-instruct: Synthetic Abstract Image And Visual Reasoning Instruction Using Language Model (2024) • No Venue
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• MAVIS: Mathematical Visual Instruction Tuning (2024) • No Venue
  Zhang et al.
• Long Context Transfer From Language To Vision (2024) • No Venue
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• Llava-uhd V2: An MLLM Integrating High-resolution Feature Pyramid Via Hierarchical Window Transformer (2024) • No Venue
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• Improve Vision Language Model Chain-of-thought Reasoning (2024) • No Venue
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• Internlm-xcomposer2.5-omnilive: A Comprehensive Multimodal System For Long-term Streaming Video And Audio Interactions (2024) • No Venue
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• Hyperllava: Dynamic Visual And Language Expert Tuning For Multimodal Large Language Models (2024) • No Venue
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• How Far Are We From Intelligent Visual Deductive Reasoning? (2024) • No Venue
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• EVF-SAM: Early Vision-language Fusion For Text-prompted Segment Anything Model (2024) • No Venue
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• GRAPE: Generalizing Robot Policy Via Preference Alignment (2024) • No Venue
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• Good At Captioning, Bad At Counting: Benchmarking GPT-4V On Earth Observation Data (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 20 citations
  Chenhui Zhang, Sherrie Wang
• Ferret-v2: An Improved Baseline For Referring And Grounding With Large Language Models (2024) • No Venue
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• Explore The Limits Of Omni-modal Pretraining At Scale (2024) • No Venue
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• LEGENT: Open Platform For Embodied Agents (2024) • No Venue
  Cheng et al.
• Learning Continuous 3D Words For Text-to-image Generation (2024) • No Venue
  Cheng et al.
• Spatialrgpt: Grounded Spatial Reasoning In Vision Language Models (2024) • Advances in Neural Information Processing Systems 37 • 21 citations
  Cheng et al.
• Yolo-world: Real-time Open-vocabulary Object Detection (2024) • No Venue
  Cheng et al.
• Critic-v: VLM Critics Help Catch VLM Errors In Multimodal Reasoning (2024) • No Venue
  Zhang et al.
• Concept-guided Prompt Learning For Generalization In Vision-language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Zhang et al.
• Beyond Llava-hd: Diving Into High-resolution Large Multimodal Models (2024) • No Venue
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• B-avibench: Towards Evaluating The Robustness Of Large Vision-language Model On Black-box Adversarial Visual-instructions (2024) • IEEE Transactions on Information Forensics and Security • 12 citations
  Zhang et al.
• M3docrag: Multi-modal Retrieval Is What You Need For Multi-page Multi-document Understanding (2024) • No Venue
  Cho et al.
• Voldoger: Llm-assisted Datasets For Domain Generalization In Vision-language Tasks (2024) • No Venue
  Choi et al.
• Visionarena: 230K Real World User-vlm Conversations With Preference Labels (2024) • No Venue
  Chou et al.
• LLM-AD: Large Language Model Based Audio Description System (2024) • No Venue
  Peng Chu, Jiang Wang, Andre Abrantes
• Mobilevlm V2: Faster And Stronger Baseline For Vision Language Model (2024) • No Venue
  Chu et al.
• Are Vision-language Models Truly Understanding Multi-vision Sensor? (2024) • No Venue
  Chung et al.
• NVLM: Open Frontier-class Multimodal Llms (2024) • No Venue
  Dai et al.
• RACER: Rich Language-guided Failure Recovery Policies For Imitation Learning (2024) • No Venue
  Dai et al.
• Swiftbrush V2: Make Your One-step Diffusion Model Better Than Its Teacher (2024) • No Venue
  Dao et al.
• EXAMS-V: A Multi-discipline Multilingual Multimodal Exam Benchmark For Evaluating Vision Language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Das et al.
• Causal Diffusion Transformers For Generative Modeling (2024) • No Venue
  Deng et al.
• Progressive Multimodal Reasoning Via Active Retrieval (2024) • No Venue
  Dong et al.
• Unveiling Encoder-free Vision-language Models (2024) • No Venue
  Diao et al.
• Multimodal Whole Slide Foundation Model For Pathology (2024) • Arxiv • 23 citations
  Ding et al.
• Internlm-xcomposer2-4khd: A Pioneering Large Vision-language Model Handling Resolutions From 336 Pixels To 4K HD (2024) • No Venue
  Dong et al.
• Vintern-1b: An Efficient Multimodal Large Language Model For Vietnamese (2024) • No Venue
  Doan et al.
• Insight-v: Exploring Long-chain Visual Reasoning With Multimodal Large Language Models (2024) • No Venue
  Dong et al.
• Videoagent: A Memory-augmented Multimodal Agent For Video Understanding (2024) • No Venue
  Fan et al.
• Llm-assisted Multi-teacher Continual Learning For Visual Question Answering In Robotic Surgery (2024) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 10 citations
  Du et al.
• Domain-agnostic Mutual Prompting For Unsupervised Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Du et al.
• Vlmevalkit: An Open-source Toolkit For Evaluating Large Multi-modality Models (2024) • No Venue
  Duan et al.
• The Llama 3 Herd Of Models (2024) • No Venue
  Dubey et al.
• Geometry Image Diffusion: Fast And Data-efficient Text-to-3d With Image-based Surface Representation (2024) • No Venue
  Slava Elizarov, Ciara Rowles, Simon Donné
• Feather The Throttle: Revisiting Visual Token Pruning For Vision-language Model Acceleration (2024) • No Venue
  Mark Endo, Xiaohan Wang, Serena Yeung-Levy
• Mmfactory: A Universal Solution Search Engine For Vision-language Tasks (2024) • No Venue
  Wan-Cyuan Fan, Tanzila Rahman, Leonid Sigal
• Instancecap: Improving Text-to-video Generation Via Instance-aware Structured Caption (2024) • No Venue
  Fan et al.
• PUMA: Empowering Unified MLLM With Multi-granular Visual Generation (2024) • No Venue
  Fang et al.
• Mmbench-video: A Long-form Multi-shot Benchmark For Holistic Video Understanding (2024) • No Venue
  Fang et al.
• Aligning Medical Images With General Knowledge From Large Language Models (2024) • Lecture Notes in Computer Science • 13 citations
  Fang et al.
• VILA^2: VILA Augmented VILA (2024) • No Venue
  Fang et al.
• VIMI: Grounding Video Generation Through Multi-modal Instruction (2024) • No Venue
  Fang et al.
• Colpali: Efficient Document Retrieval With Vision Language Models (2024) • No Venue
  Faysse et al.
• Multi-modal Hallucination Control By Visual Information Grounding (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 26 citations
  Favero et al.
• In-context Learning Enables Multimodal Large Language Models To Classify Cancer Pathology Images (2024) • Nature Communications • 93 citations
  Ferber et al.
• Multimodal Autoregressive Pre-training Of Large Vision Encoders (2024) • No Venue
  Fini et al.
• A Touch, Vision, And Language Dataset For Multimodal Alignment (2024) • No Venue
  Fu et al.
• TLDR: Token-level Detective Reward Model For Large Vision Language Models (2024) • No Venue
  Fu et al.
• Vision-language Consistency Guided Multi-modal Prompt Learning For Blind AI Generated Image Quality Assessment (2024) • IEEE Signal Processing Letters • 21 citations
  Fu et al.
• Video-star: Self-training Enables Video Instruction Tuning With Any Supervision (2024) • No Venue
  Zohar et al.
• Question Aware Vision Transformer For Multimodal Reasoning (2024) • No Venue
  Ganz et al.
• Boosting Transferability In Vision-language Attacks Via Diversification Along The Intersection Region Of Adversarial Trajectory (2024) • Lecture Notes in Computer Science • 10 citations
  Gao et al.
• Enhancing Vision-language Pre-training With Rich Supervisions (2024) • No Venue
  Gao et al.
• SPHINX-X: Scaling Data And Parameters For A Family Of Multi-modal Large Language Models (2024) • No Venue
  Gao et al.
• Skyeyegpt: Unifying Remote Sensing Vision-language Tasks Via Instruction Tuning With Large Language Model (2024) • ISPRS Journal of Photogrammetry and Remote Sensing • 68 citations
  Yang Zhan, Zhitong Xiong, Yuan Yuan
• Kvasir-vqa: A Text-image Pair GI Tract Dataset (2024) • No Venue
  Gautam et al.
• SEED-X: Multimodal Models With Unified Multi-granularity Comprehension And Generation (2024) • No Venue
  Ge et al.
• Divot: Diffusion Powers Video Tokenizer For Comprehension And Generation (2024) • No Venue
  Ge et al.
• Exploring The Frontier Of Vision-language Models: A Survey Of Current Methodologies And Future Directions (2024) • Arxiv • 24 citations
  Ghosh et al.
• Griffon V2: Advancing Multimodal Perception With High-resolution Scaling And Visual-language Co-referring (2024) • No Venue
  Zhan et al.
• Omnifusion Technical Report (2024) • No Venue
  Goncharova et al.
• DAMRO: Dive Into The Attention Mechanism Of LVLM To Reduce Object Hallucination (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Gong et al.
• Navigating The Digital World As Humans Do: Universal Visual Grounding For GUI Agents (2024) • No Venue
  Gou et al.
• Lapa: Latent Prompt Assist Model For Medical Visual Question Answering (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 12 citations
  Gu et al.
• Kaleido Diffusion: Improving Conditional Diffusion Models With Autoregressive Latent Modeling (2024) • No Venue
  Gu et al.
• Infinity-mm: Scaling Multimodal Performance With Large-scale And High-quality Instruction Data (2024) • No Venue
  Gu et al.
• RWKV-CLIP: A Robust Vision-language Representation Learner (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 10 citations
  Gu et al.
• Mammoth-vl: Eliciting Multimodal Reasoning With Instruction Tuning At Scale (2024) • No Venue
  Guo et al.
• Llava-ultra: Large Chinese Language And Vision Assistant For Ultrasound (2024) • Proceedings of the 32nd ACM International Conference on Multimedia • 10 citations
  Guo et al.
• Gpt-4v(ision) Is A Generalist Web Agent, If Grounded (2024) • No Venue
  Zheng et al.
• Pulid: Pure And Lightning ID Customization Via Contrastive Alignment (2024) • No Venue
  Guo et al.
• Regiongpt: Towards Region Understanding Vision Language Model (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 33 citations
  Guo et al.
• Meacap: Memory-augmented Zero-shot Image Captioning (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Zeng et al.
• Developing Generalist Foundation Models From A Multimodal Dataset For 3D Computed Tomography (2024) • Arxiv • 20 citations
  Hamamci et al.
• Infinity: Scaling Bitwise Autoregressive Modeling For High-resolution Image Synthesis (2024) • No Venue
  Han et al.
• Videoespresso: A Large-scale Chain-of-thought Dataset For Fine-grained Video Reasoning Via Core Frame Selection (2024) • No Venue
  Han et al.
• Dilightnet: Fine-grained Lighting Control For Diffusion-based Image Generation (2024) • No Venue
  Zeng et al.
• Vision-language Models For Medical Report Generation And Visual Question Answering: A Review (2024) • Frontiers in Artificial Intelligence • 110 citations
  Iryna Hartsock, Ghulam Rasool
• Cameractrl: Enabling Camera Control For Text-to-video Generation (2024) • No Venue
  He et al.
• Distill Visual Chart Reasoning Ability From Llms To Mllms (2024) • No Venue
  He et al.
• MA-LMM: Memory-augmented Large Multimodal Model For Long-term Video Understanding (2024) • No Venue
  He et al.
• Zipvl: Efficient Large Vision-language Models With Dynamic Token Sparsification And KV Cache Compression (2024) • No Venue
  He et al.
• 3dgraphllm: Combining Semantic Graphs And Large Language Models For 3D Scene Understanding (2024) • No Venue
  Tatiana Zemskova, Dmitry Yudin
• Low-rank Few-shot Adaptation Of Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 42 citations
  Maxime Zanella, Ismail Ben Ayed
• Harnessing Large Language Models For Training-free Video Anomaly Detection (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 48 citations
  Zanella et al.
• On The Test-time Zero-shot Generalization Of Vision-language Models: Do We Really Need Prompt Learning? (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Maxime Zanella, Ismail Ben Ayed
• Cogvlm2: Visual Language Models For Image And Video Understanding (2024) • No Venue
  Hong et al.
• Graph-based Captioning: Enhancing Visual Descriptions By Interconnecting Region Captions (2024) • No Venue
  Hsieh et al.
• Less Is More: Mitigating Multimodal Hallucination From An EOS Decision Perspective (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 15 citations
  Zihao Yue, Liang Zhang, Qin Jin
• Omnimedvqa: A New Large-scale Comprehensive Evaluation Benchmark For Medical LVLM (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 32 citations
  Hu et al.
• Findings Of The Second Babylm Challenge: Sample-efficient Pretraining On Developmentally Plausible Corpora (2024) • Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning • 28 citations
  Hu et al.
• Visual Sketchpad: Sketching As A Visual Chain Of Thought For Multimodal Language Models (2024) • No Venue
  Hu et al.
• Deer-vla: Dynamic Inference Of Multimodal Large Language Models For Efficient Robot Execution (2024) • No Venue
  Yue et al.
• V2xum-llm: Cross-modal Video Summarization With Temporal Prompt Instruction Tuning (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 14 citations
  Hua et al.
• Deciphering Cross-modal Alignment In Large Vision-language Models With Modality Integration Rate (2024) • No Venue
  Huang et al.
• Blenderalchemy: Editing 3D Graphics With Vision-language Models (2024) • No Venue
  Ian Huang, Guandao Yang, Leonidas Guibas
• Visual Hallucinations Of Multi-modal Large Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 18 citations
  Huang et al.
• Attention Prompting On Image For Large Vision-language Models (2024) • Lecture Notes in Computer Science • 10 citations
  Runpeng Yu, Weihao Yu, Xinchao Wang
• INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding (2024) • No Venue
  Ji Ha Jang, Hoigi Seo, Se Young Chun
• Medical Adaptation Of Large Language And Vision-language Models: Are We Making Progress? (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 15 citations
  Jeong et al.
• Sceneverse: Scaling 3D Vision-language Learning For Grounded Scene Understanding (2024) • No Venue
  Jia et al.
• LEOPARD : A Vision Language Model For Text-rich Multi-image Tasks (2024) • No Venue
  Jia et al.
• SPARK: Multi-vision Sensor Perception And Reasoning Benchmark For Large-scale Vision-language Models (2024) • No Venue
  Yu et al.
• Effectiveness Assessment Of Recent Large Vision-language Models (2024) • Visual Intelligence • 30 citations
  Jiang et al.
• E5-V: Universal Embeddings With Multimodal Large Language Models (2024) • No Venue
  Jiang et al.
• Hal-eval: A Universal And Fine-grained Hallucination Evaluation Framework For Large Vision Language Models (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 17 citations
  Jiang et al.
• Med-moe: Mixture Of Domain-specific Experts For Lightweight Medical Vision-language Models (2024) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 27 citations
  Jiang et al.
• SOLAMI: Social Vision-language-action Modeling For Immersive Interaction With 3D Autonomous Characters (2024) • No Venue
  Jiang et al.
• Texthawk: Exploring Efficient Fine-grained Perception Of Multimodal Large Language Models (2024) • No Venue
  Yu et al.
• Visrag: Vision-based Retrieval-augmented Generation On Multi-modality Documents (2024) • No Venue
  Yu et al.
• Mm-vet V2: A Challenging Benchmark To Evaluate Large Multimodal Models For Integrated Capabilities (2024) • No Venue
  Yu et al.
• Boosting Continual Learning Of Vision-language Models Via Mixture-of-experts Adapters (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 68 citations
  Yu et al.
• Img-diff: Contrastive Data Synthesis For Multimodal Large Language Models (2024) • No Venue
  Jiao et al.
• Hidden Flaws Behind Expert-level Accuracy Of Multimodal GPT-4 Vision In Medicine (2024) • npj Digital Medicine • 82 citations
  Jin et al.
• Video-lavit: Unified Video-language Pre-training With Decoupled Visual-motional Tokenization (2024) • No Venue
  Jin et al.
• Dsbench: How Far Are Data Science Agents To Becoming Data Science Experts? (2024) • No Venue
  Jing et al.
• Dinov2 Meets Text: A Unified Framework For Image- And Pixel-level Vision-language Alignment (2024) • 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Jose et al.
• VARCO-VISION: Expanding Frontiers In Korean Vision-language Models (2024) • No Venue
  Ju et al.
• Pegasus-v1 Technical Report (2024) • No Venue
  Jung et al.
• Omniact: A Dataset And Benchmark For Enabling Multimodal Generalist Autonomous Agents For Desktop And Web (2024) • No Venue
  Kapoor et al.
• SERPENT-VLM : Self-refining Radiology Report Generation Using Vision Language Models (2024) • Proceedings of the 6th Clinical Natural Language Processing Workshop • 13 citations
  Kapadnis et al.
• BRAVE: Broadening The Visual Encoding Of Vision-language Models (2024) • No Venue
  Kar et al.
• Prismatic Vlms: Investigating The Design Space Of Visually-conditioned Language Models (2024) • No Venue
  Karamcheti et al.
• Efficient Test-time Adaptation Of Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 41 citations
  Karmanov et al.
• Visiongpt-3d: A Generalized Multimodal Agent For Enhanced 3D Vision Understanding (2024) • No Venue
  Kelly et al.
• Residual-based Language Models Are Free Boosters For Biomedical Imaging (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 15 citations
  Lai et al.
• Clipping The Deception: Adapting Vision-language Models For Universal Deepfake Detection (2024) • ICMR '24: International Conference on Multimedia Retrieval • 39 citations
  Sohail Ahmed Khan, Duc-Tien Dang-Nguyen
• Learning To Prompt With Text Only Supervision For Vision-language Models (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 10 citations
  Khattak et al.
• An Image Grid Can Be Worth A Video: Zero-shot Video Question Answering Using A VLM (2024) • IEEE Access • 20 citations
  Kim et al.
• AAPL: Adding Attributes To Prompt Learning For Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 14 citations
  Gahyeon Kim, Sohee Kim, Seokju Lee
• Beyondscene: Higher-resolution Human-centric Scene Generation With Pretrained Diffusion (2024) • No Venue
  Kim et al.
• Fifo-diffusion: Generating Infinite Videos From Text Without Training (2024) • No Venue
  Kim et al.
• Free^2guide: Gradient-free Path Integral Control For Enhancing Text-to-video Generation With Large Vision-language Models (2024) • No Venue
  Jaemin Kim, Bryan S Kim, Jong Chul Ye
• Openvla: An Open-source Vision-language-action Model (2024) • No Venue
  Kim et al.
• Lyra: An Efficient And Speech-centric Framework For Omni-cognition (2024) • No Venue
  Zhong et al.
• Natural Language Understanding And Inference With MLLM In Visual Question Answering: A Survey (2024) • ACM Computing Surveys • 21 citations
  Kuang et al.
• Improving Visual Commonsense In Language Models Via Multiple Image Generation (2024) • No Venue
  Yariv et al.
• Gallop: Learning Global And Local Prompts For Vision-language Models (2024) • Lecture Notes in Computer Science • 19 citations
  Lafon et al.
• Revisit Large-scale Image-caption Data In Pre-training Multimodal Foundation Models (2024) • No Venue
  Lai et al.
• Clearclip: Decomposing CLIP Representations For Dense Vision-language Inference (2024) • Lecture Notes in Computer Science • 19 citations
  Lan et al.
• SEA: Supervised Embedding Alignment For Token-level Visual-textual Integration In Mllms (2024) • No Venue
  Yin et al.
• What Matters When Building Vision-language Models? (2024) • No Venue
  Laurençon et al.
• Building And Better Understanding Vision-language Models: Insights And Future Directions (2024) • No Venue
  Laurençon et al.
• Unlocking The Conversion Of Web Screenshots Into HTML Code With The Websight Dataset (2024) • No Venue
  Hugo Laurençon, Léo Tronchon, Victor Sanh
• Collavo: Crayon Large Language And Vision Model (2024) • No Venue
  Lee et al.
• Meteor: Mamba-based Traversal Of Rationale For Large Language And Vision Models (2024) • No Venue
  Lee et al.
• Moai: Mixture Of All Intelligence For Large Language And Vision Models (2024) • No Venue
  Lee et al.
• Prometheus-vision: Vision-language Model As A Judge For Fine-grained Evaluation (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 12 citations
  Lee et al.
• Phantom Of Latent For Large Language And Vision Models (2024) • No Venue
  Lee et al.
• Realizing Visual Question Answering For Education: GPT-4V As A Multimodal AI (2024) • TechTrends • 15 citations
  Gyeong-Geon Lee, Xiaoming Zhai
• Trol: Traversal Of Layers For Large Language And Vision Models (2024) • No Venue
  Lee et al.
• Vlsi: Verbalized Layers-to-interactions From Large To Small Vision Language Models (2024) • No Venue
  Lee et al.
• Cross-modal Retrieval For Knowledge-based Visual Question Answering (2024) • Lecture Notes in Computer Science • 10 citations
  Paul Lerner, Olivier Ferret, Camille Guinaudeau
• Densefusion-1m: Merging Vision Experts For Comprehensive Multimodal Perception (2024) • No Venue
  Li et al.
• Do Vision-language Transformers Exhibit Visual Commonsense? An Empirical Study Of VCR (2024) • MM '23: The 31st ACM International Conference on Multimedia • 10 citations
  Li et al.
• Exploring Diverse Methods In Visual Question Answering (2024) • 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) • 42 citations
  Li et al.
• Enhancing Visual Document Understanding With Contrastive Learning In Large Visual-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Li et al.
• GMAI-VL & GMAI-VL-5.5M: A Large Vision-language Model And A Comprehensive Multimodal Dataset Towards General Medical AI (2024) • No Venue
  Li et al.
• LAION-SG: An Enhanced Large-scale Dataset For Training Complex Image-text Models With Structural Annotations (2024) • No Venue
  Li et al.
• Lego:language Enhanced Multi-modal Grounding Model (2024) • No Venue
  Li et al.
• Llara: Supercharging Robot Learning Data For Vision-language Policy (2024) • No Venue
  Li et al.
• Mini-gemini: Mining The Potential Of Multi-modality Vision Language Models (2024) • No Venue
  Li et al.
• Red Teaming Visual Language Models (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 15 citations
  Li et al.
• One Prompt Word Is Enough To Boost Adversarial Robustness For Pre-trained Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Li et al.
• Multimodal Arxiv: A Dataset For Improving Scientific Comprehension Of Large Vision-language Models (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 16 citations
  Li et al.
• Naturalbench: Evaluating Vision-language Models On Natural Adversarial Samples (2024) • No Venue
  Li et al.
• Omnibench: Towards The Future Of Universal Omni-language Models (2024) • No Venue
  Li et al.
• Promptkd: Unsupervised Prompt Distillation For Vision-language Models (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 56 citations
  Li et al.
• Split To Merge: Unifying Separated Modalities For Unsupervised Domain Adaptation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Li et al.
• Temporal Reasoning Transfer From Text To Video (2024) • No Venue
  Li et al.
• Wolf: Captioning Everything With A World Summarization Framework (2024) • No Venue
  Li et al.
• UNIMO-G: Unified Image Generation Through Multimodal Conditional Diffusion (2024) • No Venue
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• Unbounded: A Generative Infinite Game Of Character Life Simulation (2024) • No Venue
  Li et al.
• What If We Recaption Billions Of Web Images With Llama-3? (2024) • No Venue
  Li et al.
• Unipose: A Unified Multimodal Framework For Human Pose Comprehension, Generation And Editing (2024) • No Venue
  Li et al.
• Vlrewardbench: A Challenging Benchmark For Vision-language Generative Reward Models (2024) • No Venue
  Li et al.
• Openstory++: A Large-scale Dataset And Benchmark For Instance-aware Open-domain Visual Storytelling (2024) • No Venue
  Ye et al.
• Voco-llama: Towards Vision Compression With Large Language Models (2024) • No Venue
  Ye et al.
• CAT: Enhancing Multimodal Large Language Model To Answer Questions In Dynamic Audio-visual Scenarios (2024) • Lecture Notes in Computer Science • 10 citations
  Ye et al.
• Showui: One Vision-language-action Model For GUI Visual Agent (2024) • No Venue
  Lin et al.
• Worldcuisines: A Massive-scale Benchmark For Multilingual And Multicultural Visual Question Answering On Global Cuisines (2024) • No Venue
  Winata et al.
• Rs-moe: A Vision-language Model With Mixture Of Experts For Remote Sensing Image Captioning And Visual Question Answering (2024) • IEEE Transactions on Geoscience and Remote Sensing • 15 citations
  Lin et al.
• Correctable Landmark Discovery Via Large Models For Vision-language Navigation (2024) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 11 citations
  Lin et al.
• Evaluating Text-to-visual Generation With Image-to-text Generation (2024) • Lecture Notes in Computer Science • 52 citations
  Lin et al.
• Mope-clip: Structured Pruning For Efficient Vision-language Models With Module-wise Pruning Error Metric (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Lin et al.
• Moe-llava: Mixture Of Experts For Large Vision-language Models (2024) • No Venue
  Lin et al.
• Preflmr: Scaling Up Fine-grained Late-interaction Multi-modal Retrievers (2024) • Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Lin et al.
• Wisdom: Improving Multimodal Sentiment Analysis By Fusing Contextual World Knowledge (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 16 citations
  Wang et al.
• A Survey Of Attacks On Large Vision-language Models: Resources, Advances, And Future Trends (2024) • IEEE Transactions on Neural Networks and Learning Systems • 15 citations
  Liu et al.
• Diving Into Self-evolving Training For Multimodal Reasoning (2024) • No Venue
  Liu et al.
• Dynamem: Online Dynamic Spatio-semantic Memory For Open World Mobile Manipulation (2024) • No Venue
  Liu et al.
• Efficient Detection Of Toxic Prompts In Large Language Models (2024) • No Venue
  Liu et al.
• Fka-owl: Advancing Multimodal Fake News Detection Through Knowledge-augmented Lvlms (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 27 citations
  Liu et al.
• Flowing From Words To Pixels: A Framework For Cross-modality Evolution (2024) • No Venue
  Liu et al.
• Glyph-byt5-v2: A Strong Aesthetic Baseline For Accurate Multilingual Visual Text Rendering (2024) • No Venue
  Liu et al.
• Harnessing Webpage Uis For Text-rich Visual Understanding (2024) • No Venue
  Liu et al.
• LLM4GEN: Leveraging Semantic Representation Of Llms For Text-to-image Generation (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 13 citations
  Liu et al.
• Lumina-mgpt: Illuminate Flexible Photorealistic Text-to-image Generation With Multimodal Generative Pretraining (2024) • No Venue
  Liu et al.
• Multi-modal Attribute Prompting For Vision-language Models (2024) • IEEE Transactions on Circuits and Systems for Video Technology • 15 citations
  Liu et al.
• MIA-DPO: Multi-image Augmented Direct Preference Optimization For Large Vision-language Models (2024) • No Venue
  Liu et al.
• Mibench: Evaluating Multimodal Large Language Models Over Multiple Images (2024) • No Venue
  Liu et al.
• MOKA: Open-world Robotic Manipulation Through Mark-based Visual Prompting (2024) • Robotics: Science and Systems 2024 • 23 citations
  Liu et al.
• MMDU: A Multi-turn Multi-image Dialog Understanding Benchmark And Instruction-tuning Dataset For Lvlms (2024) • No Venue
  Liu et al.
• POINTS1.5: Building A Vision-language Model Towards Real World Applications (2024) • No Venue
  Liu et al.
• Paying More Attention To Image: A Training-free Method For Alleviating Hallucination In Lvlms (2024) • Lecture Notes in Computer Science • 12 citations
  Shi Liu, Kecheng Zheng, Wei Chen
• Oryx MLLM: On-demand Spatial-temporal Understanding At Arbitrary Resolution (2024) • No Venue
  Liu et al.
• Ok-robot: What Really Matters In Integrating Open-knowledge Models For Robotics (2024) • No Venue
  Liu et al.
• POINTS: Improving Your Vision-language Model With Affordable Strategies (2024) • No Venue
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• Pite: Pixel-temporal Alignment For Large Video-language Model (2024) • No Venue
  Liu et al.
• World Model On Million-length Video And Language With Ringattention (2024) • No Venue
  Liu et al.
• Volumetric Environment Representation For Vision-language Navigation (2024) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 26 citations
  Rui Liu, Wenguan Wang, Yi Yang
• Videoagent: Long-form Video Understanding With Large Language Model As Agent (2024) • No Venue
  Wang et al.
• Palm2-vadapter: Progressively Aligned Language Model Makes A Strong Vision-language Adapter (2024) • No Venue
  Xiao et al.
• Tinyvla: Towards Fast, Data-efficient Vision-language-action Models For Robotic Manipulation (2024) • IEEE Robotics and Automation Letters • 29 citations
  Wen et al.
• Prompt-based Personalized Federated Learning For Medical Visual Question Answering (2024) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 10 citations
  Zhu et al.
• Compositional Video Generation As Flow Equalization (2024) • No Venue
  Xingyi Yang, Xinchao Wang
• Longvila: Scaling Long-context Visual Language Models For Long Videos (2024) • No Venue
  Xue et al.
• Visual Context Window Extension: A New Perspective For Long Video Understanding (2024) • No Venue
  Hongchen Wei, Zhenzhong Chen
• Small Language Model Meets With Reinforced Vision Vocabulary (2024) • No Venue
  Wei et al.
• 3D-GRAND: A Million-scale Dataset For 3d-llms With Better Grounding And Less Hallucination (2024) • No Venue
  Yang et al.
• Slow Perception: Let's Perceive Geometric Figures Step-by-step (2024) • No Venue
  Wei et al.
• Paint By Inpaint: Learning To Add Image Objects By Removing Them First (2024) • No Venue
  Wasserman et al.
• Deepseek-vl: Towards Real-world Vision-language Understanding (2024) • No Venue
  Lu et al.
• Omniparser For Pure Vision Based GUI Agent (2024) • No Venue
  Lu et al.
• Wildvision: Evaluating Vision-language Models In The Wild With Human Preferences (2024) • No Venue
  Lu et al.
• Feast Your Eyes: Mixture-of-resolution Adaptation For Multimodal Large Language Models (2024) • No Venue
  Luo et al.
• Mmevol: Empowering Multimodal Large Language Models With Evol-instruct (2024) • No Venue
  Luo et al.
• Task Vectors Are Cross-modal (2024) • No Venue
  Grace Luo, Trevor Darrell, Amir Bar
• Vigor: Improving Visual Grounding Of Large Vision Language Models With Fine-grained Reward Modeling (2024) • No Venue
  Yan et al.
• Janusflow: Harmonizing Autoregression And Rectified Flow For Unified Multimodal Understanding And Generation (2024) • No Venue
  Ma et al.
• Unifying Multimodal Retrieval Via Document Screenshot Embedding (2024) • No Venue
  Ma et al.
• PALO: A Polyglot Large Multimodal Model For 5B People (2024) • No Venue
  Maaz et al.
• Chartgemma: Visual Instruction-tuning For Chart Reasoning In The Wild (2024) • No Venue
  Masry et al.
• Chartinstruct: Instruction Tuning For Chart Comprehension And Reasoning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 10 citations
  Masry et al.
• MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training (2024) • No Venue
  McKinzie et al.
• Chartassisstant: A Universal Chart Multimodal Language Model Via Chart-to-table Pre-training And Multitask Instruction Tuning (2024) • Findings of the Association for Computational Linguistics ACL 2024 • 28 citations
  Meng et al.
• MMIU: Multimodal Multi-image Understanding For Evaluating Large Vision-language Models (2024) • No Venue
  Meng et al.
• Towards World Simulator: Crafting Physical Commonsense-based Benchmark For Video Generation (2024) • No Venue
  Meng et al.
• GLOV: Guided Large Language Models As Implicit Optimizers For Vision Language Models (2024) • No Venue
  Mirza et al.
• Unsolvable Problem Detection: Evaluating Trustworthiness Of Vision Language Models (2024) • No Venue
  Miyai et al.
• Bridging The Gap Between 2D And 3D Visual Question Answering: A Fusion Approach For 3D VQA (2024) • Proceedings of the AAAI Conference on Artificial Intelligence • 15 citations
  Wentao Mo, Yang Liu
• Bimedix2: Bio-medical Expert LMM For Diverse Medical Modalities (2024) • No Venue
  Mullappilly et al.
• White-box Multimodal Jailbreaks Against Large Vision-language Models (2024) • MM '24: The 32nd ACM International Conference on Multimedia • 10 citations
  Wang et al.
• Lhrs-bot: Empowering Remote Sensing With Vgi-enhanced Large Multimodal Language Model (2024) • Lecture Notes in Computer Science • 40 citations
  Muhtar et al.
• Videoglamm: A Large Multimodal Model For Pixel-level Visual Grounding In Videos (2024) • No Venue
  Munasinghe et al.
• Yesbut: A High-quality Annotated Multimodal Dataset For Evaluating Satire Comprehension Capability Of Vision-language Models (2024) • No Venue
  Nandy et al.
• PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge For Vlms (2024) • No Venue
  Nasiriany et al.
• Benchmarking Vision Language Models For Cultural Understanding (2024) • Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing • 21 citations
  Nayak et al.
• Exploring Vision-language Models For Imbalanced Learning (2023) • International Journal of Computer Vision • 24 citations
  Wang et al.
• Exploiting The Textual Potential From Vision-language Pre-training For Text-based Person Search (2023) • Arxiv • 13 citations
  Wang et al.
• Internvid: A Large-scale Video-text Dataset For Multimodal Understanding And Generation (2023) • No Venue
  Wang et al.
• Clip-guided Vision-language Pre-training For Question Answering In 3D Scenes (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 35 citations
  Parelli et al.
• Cogvlm: Visual Expert For Pretrained Language Models (2023) • No Venue
  Wang et al.
• VIGC: Visual Instruction Generation And Correction (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  Wang et al.
• Pixel Aligned Language Models (2023) • No Venue
  Xu et al.
• U-llava: Unifying Multi-modal Tasks Via Large Language Model (2023) • No Venue
  Xu et al.
• VL-GPT: A Generative Pre-trained Transformer For Vision And Language Understanding And Generation (2023) • No Venue
  Zhu et al.
• The All-seeing Project: Towards Panoptic Visual Recognition And Understanding Of The Open World (2023) • No Venue
  Wang et al.
• Too Large; Data Reduction For Vision-language Pre-training (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 12 citations
  Wang et al.
• To See Is To Believe: Prompting GPT-4V For Better Visual Instruction Tuning (2023) • No Venue
  Wang et al.
• Reason2drive: Towards Interpretable And Chain-based Reasoning For Autonomous Driving (2023) • Lecture Notes in Computer Science • 24 citations
  Nie et al.
• Skyscript: A Large And Semantically Diverse Vision-language Dataset For Remote Sensing (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 59 citations
  Wang et al.
• HOICLIP: Efficient Knowledge Transfer For HOI Detection With Vision-language Models (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 63 citations
  Ning et al.
• SCLIP: Rethinking Self-attention For Dense Vision-language Inference (2023) • Lecture Notes in Computer Science • 36 citations
  Feng Wang, Jieru Mei, Alan Yuille
• JARVIS-1: Open-world Multi-task Agents With Memory-augmented Multimodal Language Models (2023) • No Venue
  Wang et al.
• ELIXR: Towards A General Purpose X-ray Artificial Intelligence System Through Alignment Of Large Language Models And Radiology Vision Encoders (2023) • No Venue
  Xu et al.
• Journeydb: A Benchmark For Generative Image Understanding (2023) • No Venue
  Pan et al.
• Black Box Few-shot Adaptation For Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 27 citations
  Ouali et al.
• Teaching CLIP To Count To Ten (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 41 citations
  Paiss et al.
• Towards A Unified Agent With Foundation Models (2023) • No Venue
  Palo et al.
• Mitigating Fine-grained Hallucination By Fine-tuning Large Vision-language Models With Caption Rewrites (2023) • Lecture Notes in Computer Science • 23 citations
  Wang et al.
• Several Categories Of Large Language Models (llms): A Short Survey (2023) • International Journal for Research in Applied Science and Engineering Technology • 23 citations
  Saurabh Pahune, Manoj Chandrasekharan
• GIPCOL: Graph-injected Soft Prompting For Compositional Zero-shot Learning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 16 citations
  Guangyue Xu, Joyce Chai, Parisa Kordjamshidi
• Lvlm-ehub: A Comprehensive Evaluation Benchmark For Large Vision-language Models (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 33 citations
  Xu et al.
• Boosting The Power Of Small Multimodal Reasoning Models To Match Larger Models With Self-consistency Training (2023) • Lecture Notes in Computer Science • 11 citations
  Tan et al.
• Towards Generalist Foundation Model For Radiology By Leveraging Web-scale 2D&3D Medical Data (2023) • Arxiv • 17 citations
  Wu et al.
• Debiased Fine-tuning For Vision-language Models By Prompt Regularization (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 17 citations
  Zhu et al.
• CLIPTER: Looking At The Bigger Picture In Scene Text Recognition (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 25 citations
  Aberdam et al.
• Leveraging Vision-language Models For Improving Domain Generalization In Image Classification (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Addepalli et al.
• Dreamstyler: Paint By Style Inversion With Text-to-image Diffusion Models (2023) • No Venue
  Ahn et al.
• Compositional Foundation Models For Hierarchical Planning (2023) • No Venue
  Ajay et al.
• Bubogpt: Enabling Visual Grounding In Multi-modal Llms (2023) • No Venue
  Zhao et al.
• Source-free Domain Adaptation With Frozen Multimodal Foundation Model (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 24 citations
  Tang et al.
• CTP: Towards Vision-language Continual Pretraining Via Compatible Momentum Contrast And Topology Preservation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 18 citations
  Zhu et al.
• Domain-agnostic Tuning-encoder For Fast Personalization Of Text-to-image Models (2023) • No Venue
  Arar et al.
• 3d-vista: Pre-trained Transformer For 3D Vision And Text Alignment (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 86 citations
  Zhu et al.
• Explaining Autonomous Driving Actions With Visual Question Answering (2023) • 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) • 22 citations
  Atakishiyev et al.
• Openflamingo: An Open-source Framework For Training Large Autoregressive Vision-language Models (2023) • No Venue
  Awadalla et al.
• Cat-vil: Co-attention Gated Vision-language Embedding For Visual Question Localized-answering In Robotic Surgery (2023) • Lecture Notes in Computer Science • 16 citations
  Long Bai, Mobarakol Islam, Hongliang Ren
• Badclip: Trigger-aware Prompt Learning For Backdoor Attacks On CLIP (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Bai et al.
• Text-based Person Search Without Parallel Image-text Data (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 21 citations
  Bai et al.
• Equivariant Similarity For Vision-language Foundation Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 17 citations
  Wang et al.
• Openvivqa: Task, Dataset, And Multimodal Fusion Models For Visual Question Answering In Vietnamese (2023) • Information Fusion • 19 citations
  Nguyen et al.
• Improving Multimodal Datasets With Image Captioning (2023) • No Venue
  Nguyen et al.
• EVJVQA Challenge: Multilingual Visual Question Answering (2023) • Journal of Computer Science and Cybernetics • 14 citations
  Nguyen et al.
• ECLIPSE: A Resource-efficient Text-to-image Prior For Image Generations (2023) • No Venue
  Patel et al.
• Pg-video-llava: Pixel Grounding Large Video-language Models (2023) • No Venue
  Munasinghe et al.
• SILC: Improving Vision Language Pretraining With Self-distillation (2023) • Lecture Notes in Computer Science • 16 citations
  Naeem et al.
• Context-vqa: Towards Context-aware And Purposeful Visual Question Answering (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 10 citations
  Nandita Naik, Christopher Potts, Elisa Kreiss
• Llm-grounder: Open-vocabulary 3D Visual Grounding With Large Language Model As An Agent (2023) • No Venue
  Yang et al.
• DREAMWALKER: Mental Planning For Continuous Vision-language Navigation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 22 citations
  Wang et al.
• Cross-modal Contrastive Learning For Multimodal Fake News Detection (2023) • MM '23: The 31st ACM International Conference on Multimedia • 67 citations
  Wang et al.
• Bootstrapping Interactive Image-text Alignment For Remote Sensing Image Captioning (2023) • IEEE Transactions on Geoscience and Remote Sensing • 50 citations
  Cong Yang, Zuchao Li, Lefei Zhang
• Encyclopedic VQA: Visual Questions About Detailed Properties Of Fine-grained Categories (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 14 citations
  Mensink et al.
• Caption Anything: Interactive Image Description With Diverse Multimodal Controls (2023) • Arxiv • 19 citations
  Wang et al.
• ALIP: Adaptive Language-image Pre-training With Synthetic Caption (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 36 citations
  Yang et al.
• Embodied Multi-modal Agent Trained By An LLM From A Parallel Textworld (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 23 citations
  Yang et al.
• Autoclip: Auto-tuning Zero-shot Classifiers For Vision-language Models (2023) • No Venue
  Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi
• Scaling Open-vocabulary Object Detection (2023) • No Venue
  Matthias Minderer, Alexey Gritsenko, Neil Houlsby
• How Does Fine-tuning Impact Out-of-distribution Detection For Vision-language Models? (2023) • International Journal of Computer Vision • 24 citations
  Yifei Ming, Yixuan Li
• Idea2img: Iterative Self-refinement With Gpt-4v(ision) For Automatic Image Design And Generation (2023) • No Venue
  Yang et al.
• Octopus: Embodied Vision-language Programmer From Environmental Feedback (2023) • No Venue
  Yang et al.
• Med-flamingo: A Multimodal Medical Few-shot Learner (2023) • No Venue
  Moor et al.
• Anymal: An Efficient And Scalable Any-modality Augmented Language Model (2023) • No Venue
  Moon et al.
• Embodiedgpt: Vision-language Pre-training Via Embodied Chain Of Thought (2023) • Arxiv • 41 citations
  Mu et al.
• Vary: Scaling Up The Vision Vocabulary For Large Vision-language Models (2023) • No Venue
  Wei et al.
• De-diffusion Makes Text A Strong Cross-modal Interface (2023) • No Venue
  Wei et al.
• Text Rendering Strategies For Pixel Language Models (2023) • No Venue
  Lotz et al.
• Negative Object Presence Evaluation (NOPE) To Measure Object Hallucination In Vision-language Models (2023) • Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR) • 18 citations
  Lovenia et al.
• From Concept To Manufacturing: Evaluating Vision-language Models For Engineering Design (2023) • Artificial Intelligence Review • 15 citations
  Picard et al.
• Chameleon: Plug-and-play Compositional Reasoning With Large Language Models (2023) • Arxiv • 91 citations
  Lu et al.
• Set-level Guidance Attack: Boosting Adversarial Transferability Of Vision-language Pre-training Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 44 citations
  Lu et al.
• Mirasol3b: A Multimodal Autoregressive Model For Time-aligned And Contextual Modalities (2023) • No Venue
  Piergiovanni et al.
• Scalable 3D Captioning With Pretrained Models (2023) • No Venue
  Luo et al.
• Zero-shot Video Moment Retrieval From Frozen Vision-language Models (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 13 citations
  Luo et al.
• GPT-4V In Wonderland: Large Multimodal Models For Zero-shot Smartphone GUI Navigation (2023) • No Venue
  Yan et al.
• TEAL: Tokenize And Embed ALL For Multi-modal Large Language Models (2023) • No Venue
  Yang et al.
• Urbanclip: Learning Text-enhanced Urban Region Profiling With Contrastive Language-image Pretraining From The Web (2023) • WWW '24: The ACM Web Conference 2024 • 43 citations
  Yan et al.
• Gpt4motion: Scripting Physical Motions In Text-to-video Generation Via Blender-oriented GPT Planning (2023) • No Venue
  Lv et al.
• Robust Visual Question Answering: Datasets, Methods, And Future Challenges (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 33 citations
  Ma et al.
• Dolphins: Multimodal Language Model For Driving (2023) • No Venue
  Ma et al.
• LIV: Language-image Representations And Rewards For Robotic Control (2023) • Arxiv • 24 citations
  Ma et al.
• ZEETAD: Adapting Pretrained Vision-language Model For Zero-shot End-to-end Temporal Action Detection (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 15 citations
  Phan et al.
• Lt-vit: A Vision Transformer For Multi-label Chest X-ray Classification (2023) • 2023 IEEE International Conference on Image Processing (ICIP) • 12 citations
  Marikkar et al.
• MM-REACT: Prompting Chatgpt For Multimodal Reasoning And Action (2023) • Arxiv • 78 citations
  Yang et al.
• Sieve: Multimodal Dataset Pruning Using Image Captioning Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Mahmoud et al.
• Enhancing CLIP With GPT-4: Harnessing Visual Descriptions As Prompts (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 45 citations
  Maniparambil et al.
• Autostory: Generating Diverse Storytelling Images With Minimal Human Effort (2023) • No Venue
  Wang et al.
• Lingoqa: Visual Question Answering For Autonomous Driving (2023) • Lecture Notes in Computer Science • 33 citations
  Marcu et al.
• Unichart: A Universal Vision-language Pretrained Model For Chart Comprehension And Reasoning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 37 citations
  Masry et al.
• Improving Automatic VQA Evaluation Using Large Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 20 citations
  Oscar Mañas, Benno Krojer, Aishwarya Agrawal
• Kosmos-2: Grounding Multimodal Large Language Models To The World (2023) • No Venue
  Peng et al.
• Gemini Vs GPT-4V: A Preliminary Comparison And Combination Of Vision-language Models Through Qualitative Cases (2023) • No Venue
  Qi et al.
• Vision-language Models Are Zero-shot Reward Models For Reinforcement Learning (2023) • No Venue
  Rocamonde et al.
• Slime: Segment Like Me (2023) • No Venue
  Khani et al.
• Towards Fast And Accurate Image-text Retrieval With Self-supervised Fine-grained Alignment (2023) • IEEE Transactions on Multimedia • 17 citations
  Zhuang et al.
• Conceptlab: Creative Generation Using Diffusion Prior Constraints (2023) • No Venue
  Richardson et al.
• Lang3dsg: Language-based Contrastive Pre-training For 3D Scene Graph Prediction (2023) • 2024 International Conference on 3D Vision (3DV) • 10 citations
  Koch et al.
• Detclipv2: Scalable Open-vocabulary Object Detection Pre-training Via Word-region Alignment (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 56 citations
  Yao et al.
• CXR-CLIP: Toward Large Scale Chest X-ray Language-image Pre-training (2023) • Lecture Notes in Computer Science • 60 citations
  You et al.
• Idealgpt: Iteratively Decomposing Vision And Language Reasoning Via Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 25 citations
  You et al.
• Geochat: Grounded Large Vision-language Model For Remote Sensing (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 130 citations
  Kuckreja et al.
• Make-a-character: High Quality Text-to-3d Character Generation Within Minutes (2023) • No Venue
  Ren et al.
• Probabilistic Prompt Learning For Dense Prediction (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 18 citations
  Kwon et al.
• Veclip: Improving CLIP Training Via Visual-enriched Captions (2023) • Lecture Notes in Computer Science • 11 citations
  Lai et al.
• Improving Zero-shot Visual Question Answering Via Large Language Models With Reasoning Question Prompts (2023) • MM '23: The 31st ACM International Conference on Multimedia • 21 citations
  Lan et al.
• Exploring Better Text Image Translation With Multimodal Codebook (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 10 citations
  Lan et al.
• Mmap : Multi-modal Alignment Prompt For Cross-domain Multi-task Learning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 51 citations
  Xin et al.
• Aligning Text-to-image Models Using Human Feedback (2023) • Arxiv • 34 citations
  Lee et al.
• Read-only Prompt Optimization For Vision-language Few-shot Learning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 42 citations
  Lee et al.
• Woodpecker: Hallucination Correction For Multimodal Large Language Models (2023) • No Venue
  Yin et al.
• Mitigating Object Hallucinations In Large Vision-language Models Through Visual Contrastive Decoding (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 90 citations
  Leng et al.
• Cpseg: Finer-grained Image Semantic Segmentation Via Chain-of-thought Language Prompting (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 15 citations
  Lei Li
• Silkie: Preference Distillation For Large Visual Language Models (2023) • No Venue
  Li et al.
• MIMIC-IT: Multi-modal In-context Instruction Tuning (2023) • No Venue
  Li et al.
• Distilling Large Vision-language Model With Out-of-distribution Generalizability (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 22 citations
  Li et al.
• Evaluating Parameter-efficient Transfer Learning Approaches On SURE Benchmark For Speech Understanding (2023) • ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 15 citations
  Li et al.
• How To Configure Good In-context Sequence For Visual Question Answering (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Li et al.
• Gradient-regulated Meta-prompt Learning For Generalizable Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 19 citations
  Li et al.
• Masked Vision And Language Pre-training With Unimodal And Multimodal Contrastive Losses For Medical Visual Question Answering (2023) • Lecture Notes in Computer Science • 45 citations
  Li et al.
• Llava-med: Training A Large Language-and-vision Assistant For Biomedicine In One Day (2023) • No Venue
  Li et al.
• Llama-vid: An Image Is Worth 2 Tokens In Large Language Models (2023) • Lecture Notes in Computer Science • 94 citations
  Yanwei Li, Chengyao Wang, Jiaya Jia
• Leveraging Unpaired Data For Vision-language Generative Models Via Cycle Consistency (2023) • No Venue
  Li et al.
• M\(^3\)IT: A Large-scale Dataset Towards Multi-modal Multilingual Instruction Tuning (2023) • Arxiv • 14 citations
  Li et al.
• Multimodal Foundation Models: From Specialists To General-purpose Assistants (2023) • No Venue
  Li et al.
• Monkey: Image Resolution And Text Label Are Important Things For Large Multi-modal Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 88 citations
  Li et al.
• Redundancy-aware Transformer For Video Question Answering (2023) • MM '23: The 31st ACM International Conference on Multimedia • 14 citations
  Li et al.
• Scigraphqa: A Large-scale Synthetic Multi-turn Question-answering Dataset For Scientific Graphs (2023) • Arxiv • 26 citations
  Shengzhi Li, Nima Tajbakhsh
• ZONE: Zero-shot Instruction-guided Local Editing (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 28 citations
  Li et al.
• Glamm: Pixel Grounding Large Multimodal Model (2023) • No Venue
  Rasheed et al.
• Retrieval Augmented Chest X-ray Report Generation Using Openai GPT Models (2023) • Arxiv • 16 citations
  Ranjit et al.
• What You See Is What You Read? Improving Text-image Alignment Evaluation (2023) • Arxiv • 14 citations
  Yarom et al.
• Beneath The Surface: Unveiling Harmful Memes With Multimodal Reasoning Distilled From Large Language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 12 citations
  Lin et al.
• Designbench: Exploring And Benchmarking DALL-E 3 For Imagining Visual Design (2023) • No Venue
  Lin et al.
• Parrot Captions Teach CLIP To Spot Text (2023) • No Venue
  Lin et al.
• MM-VID: Advancing Video Understanding With Gpt-4v(ision) (2023) • No Venue
  Lin et al.
• Match, Expand And Improve: Unsupervised Finetuning For Zero-shot Action Recognition With Language Knowledge (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 28 citations
  Lin et al.
• SPHINX: The Joint Mixing Of Weights, Tasks, And Visual Embeddings For Multi-modal Large Language Models (2023) • No Venue
  Lin et al.
• Videodirectorgpt: Consistent Multi-scene Video Generation Via Llm-guided Planning (2023) • No Venue
  Lin et al.
• Video-llava: Learning United Visual Representation By Alignment Before Projection (2023) • No Venue
  Lin et al.
• Langsplat: 3D Language Gaussian Splatting (2023) • No Venue
  Qin et al.
• Deeply Coupled Cross-modal Prompt Learning (2023) • Findings of the Association for Computational Linguistics: ACL 2023 • 10 citations
  Liu et al.
• Improved Baselines With Visual Instruction Tuning (2023) • No Venue
  Liu et al.
• Hallusionbench: You See What You Think? Or You Think What You See? An Image-context Reasoning Benchmark Challenging For Gpt-4v(ision), Llava-1.5, And Other Multi-modality Models (2023) • No Venue
  Liu et al.
• Interngpt: Solving Vision-centric Tasks By Interacting With Chatgpt Beyond Language (2023) • Arxiv • 13 citations
  Liu et al.
• Llava-plus: Learning To Use Tools For Creating Multimodal Agents (2023) • No Venue
  Liu et al.
• Language Models As Black-box Optimizers For Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 13 citations
  Liu et al.
• MMC: Advancing Multimodal Chart Understanding With Large-scale Instruction Tuning (2023) • Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) • 20 citations
  Liu et al.
• Mmbench: Is Your Multi-modal Model An All-around Player? (2023) • Lecture Notes in Computer Science • 229 citations
  Liu et al.
• Ocrbench: On The Hidden Mystery Of OCR In Large Multimodal Models (2023) • Arxiv • 21 citations
  Liu et al.
• Q2atransformer: Improving Medical VQA Via An Answer Querying Decoder (2023) • Lecture Notes in Computer Science • 23 citations
  Liu et al.
• Vgdiffzero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders (2023) • ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 11 citations
  Liu et al.
• VALOR: Vision-audio-language Omni-perception Pretraining Model And Dataset (2023) • Arxiv • 17 citations
  Liu et al.
• Visual Instruction Tuning (2023) • Arxiv • 666 citations
  Liu et al.
• The Art Of SOCRATIC QUESTIONING: Recursive Thinking With Large Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 17 citations
  Qi et al.
• Jack Of All Tasks, Master Of Many: Designing General-purpose Coarse-to-fine Vision-language Model (2023) • No Venue
  Pramanick et al.
• Nuscenes-qa: A Multi-modal Visual Question Answering Benchmark For Autonomous Driving Scenario (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 100 citations
  Qian et al.
• Surgical-vqla: Transformer With Gated Vision-language Embedding For Visual Question Localized-answering In Robotic Surgery (2023) • 2023 IEEE International Conference on Robotics and Automation (ICRA) • 22 citations
  Bai et al.
• Unleashing Text-to-image Diffusion Models For Visual Perception (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 132 citations
  Zhao et al.
• CLIP4STR: A Simple Baseline For Scene Text Recognition With Pre-trained Vision-language Model (2023) • IEEE Transactions on Image Processing • 30 citations
  Zhao et al.
• Vision-language Models As A Source Of Rewards (2023) • No Venue
  Baumli et al.
• Breaking Common Sense: WHOOPS! A Vision-and-language Benchmark Of Synthetic And Compositional Images (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 24 citations
  Bitton-Guetta et al.
• Nougat: Neural Optical Understanding For Academic Documents (2023) • No Venue
  Blecher et al.
• Grounding Everything: Emerging Localization Properties In Vision-language Transformers (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 30 citations
  Bousselham et al.
• RT-2: Vision-language-action Models Transfer Web Knowledge To Robotic Control (2023) • No Venue
  Brohan et al.
• Vision Language Models In Autonomous Driving: A Survey And Outlook (2023) • IEEE Transactions on Intelligent Vehicles • 55 citations
  Zhou et al.
• Vip-llava: Making Large Multimodal Models Understand Arbitrary Visual Prompts (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 44 citations
  Cai et al.
• Alpha-clip: A CLIP Model Focusing On Wherever You Want (2023) • No Venue
  Sun et al.
• Modular Visual Question Answering Via Code Generation (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) • 20 citations
  Subramanian et al.
• Generative Pretraining In Multimodality (2023) • No Venue
  Sun et al.
• Aligning Large Multimodal Models With Factually Augmented RLHF (2023) • No Venue
  Sun et al.
• Pro-cap: Leveraging A Frozen Vision-language Model For Hateful Meme Detection (2023) • MM '23: The 31st ACM International Conference on Multimedia • 38 citations
  Cao et al.
• An Empirical Study Of CLIP For Text-based Person Search (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 62 citations
  Cao et al.
• Domain-controlled Prompt Learning (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 16 citations
  Cao et al.
• Pumer: Pruning And Merging Tokens For Efficient Vision Language Models (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 19 citations
  Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
• DIME-FM: Distilling Multimodal And Efficient Foundation Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 16 citations
  Sun et al.
• Emu: Generative Pretraining In Multimodality (2023) • Arxiv • 29 citations
  Sun et al.
• Autoeval-video: An Automatic Benchmark For Assessing Large Vision Language Models In Open-ended Video Question Answering (2023) • Lecture Notes in Computer Science • 12 citations
  Chen et al.
• DRESS: Instructing Large Vision-language Models To Align And Interact With Humans Via Natural Language Feedback (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 16 citations
  Chen et al.
• LL3DA: Visual Interactive Instruction Tuning For Omni-3d Understanding, Reasoning, And Planning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 52 citations
  Chen et al.
• IQAGPT: Image Quality Assessment With Vision-language And Chatgpt Models (2023) • Visual Computing for Industry, Biomedicine, and Art • 15 citations
  Chen et al.
• Generative Text-guided 3D Vision-language Pretraining For Unified Medical Image Segmentation (2023) • Arxiv • 18 citations
  Chen et al.
• Internvl: Scaling Up Vision Foundation Models And Aligning For Generic Visual-linguistic Tasks (2023) • No Venue
  Chen et al.
• Livephoto: Real Image Animation With Text-guided Motion Control (2023) • No Venue
  Chen et al.
• LION : Empowering Multimodal Large Language Model With Dual-level Visual Knowledge (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Chen et al.
• Pixart-α: Fast Training Of Diffusion Transformer For Photorealistic Text-to-image Synthesis (2023) • No Venue
  Chen et al.
• Medblip: Bootstrapping Language-image Pre-training From 3D Medical Images And Texts (2023) • Lecture Notes in Computer Science • 23 citations
  Chen et al.
• Minigpt-v2: Large Language Model As A Unified Interface For Vision-language Multi-task Learning (2023) • No Venue
  Chen et al.
• Revisiting Multimodal Representation In Contrastive Learning: From Patch And Token Embeddings To Finite Discrete Tokens (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 27 citations
  Chen et al.
• Unleashing The Potential Of Prompt Engineering For Large Language Models (2023) • Patterns • 123 citations
  Chen et al.
• Towards Unifying Medical Vision-and-language Pre-training Via Soft Prompts (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 20 citations
  Chen et al.
• Probvlm: Probabilistic Adapter For Frozen Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 15 citations
  Upadhyay et al.
• Open-ended Medical Visual Question Answering Through Prefix Tuning Of Language Models (2023) • Lecture Notes in Computer Science • 47 citations
  Sonsbeek et al.
• Villa: Fine-grained Vision-language Representation Learning From Real-world Data (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 11 citations
  Varma et al.
• Egothink: Evaluating First-person Perspective Thinking Capability Of Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 17 citations
  Cheng et al.
• Beyond Generic: Enhancing Image Captioning With Real-world Knowledge Using Vision-language Pre-training Model (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 12 citations
  Cheng et al.
• PRIOR: Prototype Representation Joint Learning From Medical Images And Reports (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 53 citations
  Cheng et al.
• Pneumollm: Harnessing The Power Of Large Language Model For Pneumoconiosis Diagnosis (2023) • Medical Image Analysis • 21 citations
  Song et al.
• Promptstyler: Prompt-driven Style Generation For Source-free Domain Generalization (2023) • No Venue
  Cho et al.
• Distribution-aware Prompt Tuning For Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 31 citations
  Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim
• Toward Building General Foundation Models For Language, Vision, And Vision-language Understanding Tasks (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 10 citations
  Zhang et al.
• Talk2bev: Language-enhanced Bird's-eye View Maps For Autonomous Driving (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 37 citations
  Choudhary et al.
• Apollo: Unified Adapter And Prompt Learning For Vision Language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 14 citations
  Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha
• Mobilevlm : A Fast, Reproducible And Strong Vision Language Assistant For Mobile Devices (2023) • No Venue
  Chu et al.
• Vision-language Models For Vision Tasks: A Survey (2023) • IEEE Transactions on Pattern Analysis and Machine Intelligence • 502 citations
  Zhang et al.
• Applenet: Visual Attention Parameterized Prompt Learning For Few-shot Remote Sensing Image Generalization Using CLIP (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 26 citations
  Singha et al.
• Grounding Visual Illusions In Language: Do Vision-language Models Perceive Illusions Like Humans? (2023) • No Venue
  Zhang et al.
• Raising The Bar Of Ai-generated Image Detection With CLIP (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 72 citations
  Cozzolino et al.
• KD-DLGAN: Data Limited Image Generation Via Knowledge Distillation (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 19 citations
  Cui et al.
• RS5M And Georsclip: A Large Scale Vision-language Dataset And A Large Vision-language Model For Remote Sensing (2023) • IEEE Transactions on Geoscience and Remote Sensing • 53 citations
  Zhang et al.
• AD-CLIP: Adapting Domains In Prompt Space Using CLIP (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 37 citations
  Singha et al.
• Next-chat: An LMM For Chat, Detection And Segmentation (2023) • No Venue
  Zhang et al.
• PMC-VQA: Visual Instruction Tuning For Medical Visual Question Answering (2023) • Arxiv • 58 citations
  Zhang et al.
• A Closer Look At The Few-shot Adaptation Of Large Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 34 citations
  Silva-Rodríguez et al.
• Vadclip: Adapting Vision-language Models For Weakly Supervised Video Anomaly Detection (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 100 citations
  Wu et al.
• Visual Question Answering: A Survey On Techniques And Common Trends In Recent Literature (2023) • Arxiv • 10 citations
  Faria et al.
• Drivelm: Driving With Graph Visual Question Answering (2023) • Lecture Notes in Computer Science • 88 citations
  Sima et al.
• Gpt4roi: Instruction Tuning Large Language Model On Region-of-interest (2023) • No Venue
  Zhang et al.
• QUAR-VLA: Vision-language-action Model For Quadruped Robots (2023) • Lecture Notes in Computer Science • 14 citations
  Ding et al.
• Dreamllm: Synergistic Multimodal Comprehension And Creation (2023) • No Venue
  Dong et al.
• GSVA: Generalized Segmentation Via Multimodal Large Language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 39 citations
  Xia et al.
• Can An Embodied Agent Find Your "cat-shaped Mug"? Llm-guided Exploration For Zero-shot Object Navigation (2023) • IEEE Robotics and Automation Letters • 60 citations
  Vishnu Sashank Dorbala, James F. Mullen, Dinesh Manocha
• Dense And Aligned Captions (DAC) Promote Compositional Reasoning In VL Models (2023) • Arxiv • 12 citations
  Doveh et al.
• Video Language Planning (2023) • No Venue
  Du et al.
• Llasm: Large Language And Speech Model (2023) • No Venue
  Shu et al.
• Can Vision-language Models Be A Good Guesser? Exploring Vlms For Times And Location Reasoning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 10 citations
  Zhang et al.
• Why Is Prompt Tuning For Vision-language Models Robust To Noisy Labels? (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 12 citations
  Wu et al.
• What Does CLIP Know About A Red Circle? Visual Prompt Engineering For Vlms (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 94 citations
  Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
• Contrasting Intra-modal And Ranking Cross-modal Hard Negatives To Enhance Visio-linguistic Compositional Understanding (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Le Zhang, Rabiul Awal, Aishwarya Agrawal
• Biomedgpt: A Generalist Vision-language Foundation Model For Diverse Biomedical Tasks (2023) • Arxiv • 50 citations
  Zhang et al.
• Biomedclip: A Multimodal Biomedical Foundation Model Pretrained From Fifteen Million Scientific Image-text Pairs (2023) • Arxiv • 93 citations
  Zhang et al.
• Vision-language Interpreter For Robot Task Planning (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 27 citations
  Shirai et al.
• Describing Differences In Image Sets With Natural Language (2023) • No Venue
  Dunlap et al.
• A Simple Recipe For Language-guided Domain Generalized Segmentation (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Fahes et al.
• Separate And Locate: Rethink The Text In Text-based Visual Question Answering (2023) • MM '23: The 31st ACM International Conference on Multimedia • 14 citations
  Fang et al.
• Transferable Decoding With Visual Entities For Zero-shot Image Captioning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 43 citations
  Fei et al.
• Scene Graph As Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation With Visual Scene Hallucination (2023) • Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) • 43 citations
  Fei et al.
• Diverse Data Augmentation With Diffusions For Effective Test-time Prompt Tuning (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 63 citations
  Feng et al.
• Q-instruct: Improving Low-level Visual Abilities For Multi-modality Foundation Models (2023) • No Venue
  Wu et al.
• CLIM: Contrastive Language-image Mosaic For Region Representation (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 11 citations
  Wu et al.
• Foundation Models In Robotics: Applications, Challenges, And The Future (2023) • No Venue
  Firoozi et al.
• Logoprompt: Synthetic Text Images Can Be Good Visual Prompts For Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 13 citations
  Cheng Shi, Sibei Yang
• Alexa, Play With Robot: Introducing The First Alexa Prize Simbot Challenge On Embodied AI (2023) • No Venue
  Shi et al.
• Towards Models That Can See And Read (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 11 citations
  Ganz et al.
• CLOVA: A Closed-loop Visual Assistant With Tool Usage And Update (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Gao et al.
• G-llava: Solving Geometric Problem With Multi-modal Large Language Model (2023) • No Venue
  Gao et al.
• Llama-adapter V2: Parameter-efficient Visual Instruction Model (2023) • Arxiv • 117 citations
  Gao et al.
• Physically Grounded Vision-language Models For Robotic Manipulation (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 67 citations
  Gao et al.
• A Picture Is Worth More Than 77 Text Tokens: Evaluating Clip-style Models On Dense Captions (2023) • No Venue
  Urbanek et al.
• Scaling Vision-language Models With Sparse Mixture Of Experts (2023) • Findings of the Association for Computational Linguistics: EMNLP 2023 • 33 citations
  Shen et al.
• Hiclip: Contrastive Language-image Pretraining With Hierarchy-aware Attention (2023) • Arxiv • 11 citations
  Geng et al.
• Groundvlp: Harnessing Zero-shot Visual Grounding From Vision-language Pre-training And Open-vocabulary Object Detection (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 14 citations
  Shen et al.
• Imagebind: One Embedding Space To Bind Them All (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 587 citations
  Girdhar et al.
• CCM: Adding Conditional Controls To Text-to-image Consistency Models (2023) • No Venue
  Xiao et al.
• Preventing Zero-shot Transfer Degradation In Continual Learning Of Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 61 citations
  Zheng et al.
• Domain Aligned CLIP For Few-shot Classification (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 12 citations
  Gondal et al.
• Figstep: Jailbreaking Large Vision-language Models Via Typographic Visual Prompts (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 26 citations
  Gong et al.
• Xraygpt: Chest Radiographs Summarization Using Medical Vision-language Models (2023) • Arxiv • 39 citations
  Thawakar et al.
• Can I Trust Your Answer? Visually Grounded Video Question Answering (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
  Xiao et al.
• Florence-2: Advancing A Unified Representation For A Variety Of Vision Tasks (2023) • No Venue
  Xiao et al.
• Multimodal Data Augmentation For Image Captioning Using Diffusion Models (2023) • Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications • 11 citations
  Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
• Conceptgraphs: Open-vocabulary 3D Scene Graphs For Perception And Planning (2023) • No Venue
  Gu et al.
• A Systematic Survey Of Prompt Engineering On Vision-language Foundation Models (2023) • Arxiv • 63 citations
  Gu et al.
• Unidcp: Unifying Multiple Medical Vision-language Tasks Via Dynamic Cross-modal Learnable Prompts (2023) • IEEE Transactions on Multimedia • 10 citations
  Zhan et al.
• Hallusionbench: An Advanced Diagnostic Suite For Entangled Language Hallucination And Visual Illusion In Large Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 77 citations
  Guan et al.
• Tiny Lvlm-ehub: Early Multimodal Experiments With Bard (2023) • No Venue
  Shao et al.
• Detecting And Preventing Hallucinations In Large Vision Language Models (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 100 citations
  Anisha Gunjal, Jihan Yin, Erhan Bas
• Doremi: Grounding Language Model By Detecting And Recovering From Plan-execution Misalignment (2023) • 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) • 14 citations
  Guo et al.
• Cliptrans: Transferring Visual Knowledge With Pre-trained Models For Multimodal Machine Translation (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 10 citations
  Gupta et al.
• Lit-4-rsvqa: Lightweight Transformer-based Visual Question Answering In Remote Sensing (2023) • IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium • 13 citations
  Hackel et al.
• Autoad II: The Sequel -- Who, When, And What In Movie Audio Description (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 27 citations
  Han et al.
• Imagebind-llm: Multi-modality Instruction Tuning (2023) • No Venue
  Han et al.
• Fame-vil: Multi-tasking Vision-language Model For Heterogeneous Fashion Tasks (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 38 citations
  Han et al.
• Fashionsap: Symbols And Attributes Prompt For Fine-grained Fashion Vision-language Pre-training (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Han et al.
• Zero-shot Referring Expression Comprehension Via Structural Similarity Between Images And Captions (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 12 citations
  Han et al.
• Surgicalgpt: End-to-end Language-vision GPT For Visual Question Answering In Surgery (2023) • Lecture Notes in Computer Science • 31 citations
  Seenivasan et al.
• Dear: Debiasing Vision-language Models With Additive Residuals (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 25 citations
  Ashish Seth, Mayur Hemani, Chirag Agarwal
• Vision-language Models Can Identify Distracted Driver Behavior From Naturalistic Videos (2023) • IEEE Transactions on Intelligent Transportation Systems • 42 citations
  Hasan et al.
• Gnfactor: Multi-task Real Robot Learning With Generalizable Neural Feature Fields (2023) • No Venue
  Ze et al.
• Large Language Models Are Good Prompt Learners For Low-shot Image Classification (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 11 citations
  Zheng et al.
• Contextual Object Detection With Multimodal Large Language Models (2023) • International Journal of Computer Vision • 57 citations
  Zang et al.
• All In One: Exploring Unified Vision-language Tracking With Multi-modal Alignment (2023) • MM '23: The 31st ACM International Conference on Multimedia • 24 citations
  Zhang et al.
• Multimodal Neurons In Pretrained Text-only Transformers (2023) • No Venue
  Sarah Schwettmann, Neil Chowdhury, Antonio Torralba
• CLIP Goes 3D: Leveraging Prompt Tuning For Language Grounded 3D Recognition (2023) • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) • 51 citations
  Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel
• Cogagent: A Visual Language Model For GUI Agents (2023) • No Venue
  Hong et al.
• 3D-LLM: Injecting The 3D World Into Large Language Models (2023) • No Venue
  Hong et al.
• Semivl: Semi-supervised Semantic Segmentation With Vision-language Guidance (2023) • Lecture Notes in Computer Science • 15 citations
  Hoyer et al.
• Tool Documentation Enables Zero-shot Tool-usage With Large Language Models (2023) • No Venue
  Hsieh et al.
• BLIVA: A Simple Multimodal LLM For Better Handling Of Text-rich Visual Questions (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 70 citations
  Hu et al.
• Visual Program Distillation: Distilling Tools And Programmatic Reasoning Into Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 22 citations
  Hu et al.
• Reclip: Refine Contrastive Language Image Pre-training With Source Free Domain Adaptation (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 14 citations
  Hu et al.
• RSGPT: A Remote Sensing Vision Language Model And Benchmark (2023) • ISPRS Journal of Photogrammetry and Remote Sensing • 65 citations
  Hu et al.
• TIFA: Accurate And Interpretable Text-to-image Faithfulness Evaluation With Question Answering (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 80 citations
  Hu et al.
• Argue: Attribute-guided Prompt Tuning For Vision-language Models (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 26 citations
  Tian et al.
• CLIP In Medical Imaging: A Survey (2023) • Medical Image Analysis • 37 citations
  Zhao et al.
• A Survey On Hallucination In Large Language Models: Principles, Taxonomy, Challenges, And Open Questions (2023) • ACM Transactions on Information Systems • 852 citations
  Huang et al.
• Openins3d: Snap And Lookup For 3D Open-vocabulary Instance Segmentation (2023) • Lecture Notes in Computer Science • 28 citations
  Huang et al.
• Joint Representation Learning For Text And 3D Point Cloud (2023) • Pattern Recognition • 24 citations
  Huang et al.
• Segment And Caption Anything (2023) • No Venue
  Huang et al.
• Tech: Text-guided Reconstruction Of Lifelike Clothed Humans (2023) • No Venue
  Huang et al.
• Osprey: Pixel Understanding With Visual Instruction Tuning (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 37 citations
  Yuan et al.
• Multilingual Augmentation For Robust Visual Question Answering In Remote Sensing Images (2023) • 2023 Joint Urban Remote Sensing Event (JURSE) • 12 citations
  Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
• RAMM: Retrieval-augmented Biomedical Visual Question Answering With Multi-modal Pre-training (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 24 citations
  Yuan et al.
• Parameter-efficient Transfer Learning For Remote Sensing Image-text Retrieval (2023) • IEEE Transactions on Geoscience and Remote Sensing • 55 citations
  Yuan Yuan, Yang Zhan, Zhitong Xiong
• Advancing Surgical VQA With Scene Graph Knowledge (2023) • International Journal of Computer Assisted Radiology and Surgery • 10 citations
  Yuan et al.
• Contextual Net: A Multimodal Vision-language Model For Segmentation Of Pneumothorax (2023) • Journal of Imaging Informatics in Medicine • 15 citations
  Huemann et al.
• Memecap: A Dataset For Captioning And Interpreting Memes (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 13 citations
  Eunjeong Hwang, Vered Shwartz
• A Symmetric Dual Encoding Dense Retrieval Framework For Knowledge-intensive Visual Question Answering (2023) • Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval • 19 citations
  Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani
• Nuscenes-mqa: Integrated Evaluation Of Captions And QA For Autonomous Driving Datasets Using Markup Annotations (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) • 12 citations
  Inoue et al.
• From Image To Language: A Critical Analysis Of Visual Question Answering (VQA) Approaches, Challenges, And Opportunities (2023) • Information Fusion • 62 citations
  Ishmam et al.
• Learning Vision From Models Rivals Learning Vision From Data (2023) • No Venue
  Tian et al.
• Vcoder: Versatile Vision Encoders For Multimodal Large Language Models (2023) • No Venue
  Jitesh Jain, Jianwei Yang, Humphrey Shi
• Rank2tell: A Multimodal Driving Dataset For Joint Importance Ranking And Reasoning (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 39 citations
  Sachdeva et al.
• Delving Into Multimodal Prompting For Fine-grained Visual Classification (2023) • Proceedings of the AAAI Conference on Artificial Intelligence • 37 citations
  Jiang et al.
• Clip-count: Towards Text-guided Zero-shot Object Counting (2023) • Proceedings of the 31st ACM International Conference on Multimedia • 57 citations
  Ruixiang Jiang, Lingbo Liu, Changwen Chen
• Mixphm: Redundancy-aware Parameter-efficient Tuning For Low-resource Visual Question Answering (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 20 citations
  Jingjing Jiang, Nanning Zheng
• Funqa: Towards Surprising Video Comprehension (2023) • Lecture Notes in Computer Science • 11 citations
  Xie et al.
• Chat-univi: Unified Visual Representation Empowers Large Language Models With Image And Video Understanding (2023) • 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 93 citations
  Jin et al.
• Learning Instance-level Representation For Large-scale Multi-modal Pretraining In E-commerce (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 10 citations
  Jin et al.
• Mm-vet: Evaluating Large Multimodal Models For Integrated Capabilities (2023) • No Venue
  Yu et al.
• Faithscore: Fine-grained Evaluations Of Hallucinations In Large Vision-language Models (2023) • Findings of the Association for Computational Linguistics: EMNLP 2024 • 15 citations
  Jing et al.
• Merlin:empowering Multimodal Llms With Foresight Minds (2023) • No Venue
  Yu et al.
• Waffling Around For Performance: Visual Classification With Random Words And Broad Concepts (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 42 citations
  Roth et al.
• What's "up" With Vision-language Models? Investigating Their Struggle With Spatial Reasoning (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 29 citations
  Amita Kamath, Jack Hessel, Kai-Wei Chang
• Text Encoders Bottleneck Compositionality In Contrastive Vision-language Models (2023) • Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing • 11 citations
  Amita Kamath, Jack Hessel, Kai-Wei Chang
• Fusecap: Leveraging Large Language Models For Enriched Fused Image Captions (2023) • 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) • 50 citations
  Rotstein et al.
• Knowledge-aware Prompt Tuning For Generalizable Vision-language Models (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 29 citations
  Kan et al.
• Dream2real: Zero-shot 3D Object Rearrangement With Vision-language Models (2023) • 2024 IEEE International Conference on Robotics and Automation (ICRA) • 13 citations
  Kapelyukh et al.
• VILA: Learning Image Aesthetics From User Comments With Vision-language Pretraining (2023) • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • 69 citations
  Ke et al.
• LERF: Language Embedded Radiance Fields (2023) • 2023 IEEE/CVF International Conference on Computer Vision (ICCV) • 237 citations
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