Key papers

• MentalThink: Shaping Thoughts in Mental SVG World (2026)
  Kangheng Lin et al.
  2.00
• DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems (2026)
  Maojun Sun et al.
  1.94
• Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR (2026)
  Fanfan Liu et al.
  1.94
• ContextBench: A Benchmark for Context Retrieval in Coding Agents (2026)
  Han Li et al.
  1.94
• SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning (2026)
  Zelin He et al.
  1.94
• PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research (2026)
  Tingjia Miao et al.
  1.94
• PatRe: A Full-Stage Office Action and Rebuttal Generation Benchmark for Patent Examination (2026)
  Qiyao Wang et al.
  1.94
• PreScam: A Benchmark for Predicting Scam Progression from Early Conversations (2026)
  Weixiang Sun et al.
  1.94
• MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems (2026)
  Hyunji Lee et al.
  1.94
• K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts (2026)
  Nahyun Lee et al.
  1.94
• Benchmark Everything Everywhere All at Once (2026)
  Shiyun Xiong et al.
  1.94
• EmpiriGraph-Psy: A Dataset and LLM Pipeline for Extracting Empirical Relation Graphs from Psychology Abstracts (2026)
  Danqin Zhao et al.
  1.94
• Understanding the Behaviors of Environment-aware Information Retrieval (2026)
  Ruifeng Yuan et al.
  1.94
• Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs (2026)
  Fahd Seddik et al.
  1.94
• ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration (2026)
  Ruofeng Yang et al.
  1.89
• Self-Execution Simulation Improves Coding Models (2026)
  Gallil Maimon et al.
  1.83
• Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers (2026)
  Bozhou Li et al.
  1.72
• Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs (2026)
  Yining Hong et al.
  1.72
• Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks (2026)
  Qihua Dong et al.
  1.72
• X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests (2026)
  Jie Wu et al.
  1.67
• Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction (2025)
  Rui Qian et al.
  1.28
• WebWalker: Benchmarking LLMs in Web Traversal (2025)
  Jialong Wu et al.
  1.28
• Control LLM: Controlled Evolution for Intelligence Retention in LLM (2025)
  Haichao Wei et al.
  1.28
• O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning (2025)
  Haotian Luo et al.
  1.28
• PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback (2025)
  Kanika Goswami et al.
  1.28
• Competitive Programming with Large Reasoning Models (2025)
  OpenAI et al.
  1.28
• V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models (2025)
  Hsu-kuang Chiu et al.
  1.28
• The Mirage of Model Editing: Revisiting Evaluation in the Wild (2025)
  Wanli Yang et al.
  1.28
• FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading (2025)
  Guojun Xiong et al.
  1.28
• How to Steer LLM Latents for Hallucination Detection? (2025)
  Seongheon Park et al.
  1.28
• IterPref: Focal Preference Learning for Code Generation via Iterative Debugging (2025)
  Jie Wu et al.
  1.28
• Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models (2025)
  Thomas Winninger et al.
  1.28
• Should VLMs be Pre-trained with Image Data? (2025)
  Sedrick Keh et al.
  1.28
• Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo (2025)
  Zachary Charles et al.
  1.28
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale (2025)
  Qiying Yu et al.
  1.28
• Judge Anything: MLLM as a Judge Across Any Modality (2025)
  Shu Pu et al.
  1.28
• Efficient Model Selection for Time Series Forecasting via LLMs (2025)
  Wang Wei et al.
  1.28
• Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images (2025)
  Boyang Deng et al.
  1.28
• SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning (2025)
  Prabhat Pandey et al.
  1.28
• NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes (2025)
  Tianyang Xu et al.
  1.28
• BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation (2025)
  Yiting Ran et al.
  1.28
• PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models (2025)
  Shi Qiu et al.
  1.28
• Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading (2025)
  Cfir Avraham Hadar et al.
  1.28
• The Aloe Family Recipe for Open and Specialized Healthcare LLMs (2025)
  Dario Garcia-Gasulla et al.
  1.28
• Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models (2025)
  Yunxin Li et al.
  1.28
• EfficientLLM: Efficiency in Large Language Models (2025)
  Zhengqing Yuan et al.
  1.28
• Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks (2025)
  Hongyuan Tao et al.
  1.28
• Fostering Video Reasoning via Next-Event Prediction (2025)
  Haonan Wang et al.
  1.28
• The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models (2025)
  Ganqu Cui et al.
  1.28
• DINGO: Constrained Inference for Diffusion LLMs (2025)
  Tarun Suresh et al.
  1.28
• SiLVR: A Simple Language-based Video Reasoning Framework (2025)
  Ce Zhang et al.
  1.28
• LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning (2025)
  Zihang Liu et al.
  1.28
• Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem (2025)
  Yubo Wang et al.
  1.28
• TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems (2025)
  Shaina Raza et al.
  1.28
• MIRIAD: Augmenting LLMs with millions of medical query-response pairs (2025)
  Qinyue Zheng et al.
  1.28
• VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos (2025)
  Jiashuo Yu et al.
  1.28
• Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts (2025)
  Zain Muhammad Mujahid et al.
  1.28
• RExBench: Can coding agents autonomously implement AI research extensions? (2025)
  Nicholas Edwards et al.
  1.28
• Evaluating, Synthesizing, and Enhancing for Customer Support Conversation (2025)
  Jie Zhu et al.
  1.28
• Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering (2025)
  Bolei He et al.
  1.28