Key papers

• The First Token Knows: Single-Decode Confidence for Hallucination Detection (2026)
  Mina Gabriel
  1.89
• AutoPresent: Designing Structured Visuals from Scratch (2025)
  Jiaxin Ge et al.
  1.28
• CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing (2025)
  Yu Yuan et al.
  1.28
• Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance (2025)
  Xueqing Peng et al.
  1.28
• CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis (2025)
  Anjiang Wei et al.
  1.28
• In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2025)
  Zechuan Zhang et al.
  1.28
• Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts (2025)
  Hanhua Hong et al.
  1.28
• Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models (2025)
  Weihao Xuan et al.
  1.28
• Audio-Aware Large Language Models as Judges for Speaking Styles (2025)
  Cheng-Han Chiang et al.
  1.28
• RExBench: Can coding agents autonomously implement AI research extensions? (2025)
  Nicholas Edwards et al.
  1.28
• Sound and Complete Neuro-symbolic Reasoning with LLM-Grounded Interpretations (2025)
  Bradley P. Allen et al.
  1.28
• VoiceAssistant-Eval: Benchmarking AI Assistants across Listening, Speaking, and Viewing (2025)
  Ke Wang et al.
  1.28
• Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models (2025)
  Qizheng Zhang et al.
  1.28
• TV2TV: A Unified Framework for Interleaved Language and Video Generation (2025)
  Xiaochuang Han et al.
  1.28
• DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI (2023)
  Jianguo Zhang et al.
  —
• Three Bricks to Consolidate Watermarks for Large Language Models (2023)
  Pierre Fernandez et al.
  —
• TextBind: Multi-turn Interleaved Multimodal Instruction-following (2023)
  Huayang Li et al.
  —
• LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent (2023)
  Jianing Yang et al.
  —
• PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion (2023)
  Yiduo Guo et al.
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• SymbolicAI: A framework for logic-based approaches combining generative models and solvers (2024)
  Marius-Constantin Dinu et al.
  —
• BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data (2024)
  Mateusz Łajszczak et al.
  —
• OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web (2024)
  Raghav Kapoor et al.
  —
• Paint by Inpaint: Learning to Add Image Objects by Removing Them First (2024)
  Navve Wasserman et al.
  —
• PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM (2024)
  Tao Yang et al.
  —
• HEMM: Holistic Evaluation of Multimodal Foundation Models (2024)
  Paul Pu Liang et al.
  —
• Qwen2-Audio Technical Report (2024)
  Yunfei Chu et al.
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• Text2SQL is Not Enough: Unifying AI and Databases with TAG (2024)
  Asim Biswal et al.
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• Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models (2024)
  Wei Chen et al.
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• Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study (2024)
  Zahra Sepasdar et al.
  —
• LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning (2024)
  Yiming Shi et al.
  —
• VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models (2024)
  Byung-Kwan Lee et al.
  —