Key papers

• Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation (2026)
  Pingzhi Tang et al.
  1.94
• AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context (2026)
  Lei Zhang et al.
  1.94
• Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience (2026)
  Zhongxiang Sun et al.
  1.94
• Enhancing Multi-Image Understanding through Delimiter Token Scaling (2026)
  Minyoung Lee et al.
  1.94
• Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision (2026)
  Xiaohan He et al.
  1.94
• Efficient RLVR Training via Weighted Mutual Information Data Selection (2026)
  Xinyu Zhou et al.
  1.94
• Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models (2026)
  Linghao Zhang et al.
  1.94
• Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents (2026)
  Bowen Ye et al.
  1.94
• Process Reward Agents for Steering Knowledge-Intensive Reasoning (2026)
  Jiwoong Sohn et al.
  1.94
• PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research (2026)
  Tingjia Miao et al.
  1.94
• Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction (2026)
  Zhuofeng Li et al.
  1.94
• LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models (2026)
  Songtao Wei et al.
  1.94
• Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values (2026)
  Haonan Dong et al.
  1.94
• DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes (2026)
  Caijun Xu et al.
  1.94
• Task-Focused Memorization for Multimodal Agents (2026)
  Tao Zou et al.
  1.94
• Geometric Latent Reasoning Induces Shorter Generations in LLMs (2026)
  Shashi Kumar et al.
  1.94
• The Cold-Start Safety Gap in LLM Agents (2026)
  Chung-En Sun et al.
  1.94
• N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization (2026)
  Xukun Zhu et al.
  1.94
• ChLogic: Evaluating Robustness of Logical Reasoning in Chinese Expressions (2026)
  Peixian Zhou et al.
  1.94
• DataComp-VLM: Improved Open Datasets for Vision-Language Models (2026)
  Matteo Farina et al.
  1.94
• Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation (2026)
  Chenghao Zhang et al.
  1.89
• Dynin-Omni: Omnimodal Unified Large Diffusion Language Model (2026)
  Jaeik Kim et al.
  1.83
• InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis (2026)
  Oliver Bentham et al.
  1.83
• Qianfan-OCR: A Unified End-to-End Model for Document Intelligence (2026)
  Daxiang Dong et al.
  1.78
• BEAVER: A Training-Free Hierarchical Prompt Compression Method via Structure-Aware Page Selection (2026)
  Zhengpei Hu et al.
  1.78
• Agentic Reasoning for Large Language Models (2026)
  Tianxin Wei et al.
  1.67
• Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025)
  Xiaoxi Li et al.
  1.28
• Baichuan-Omni-1.5 Technical Report (2025)
  Yadong Li et al.
  1.28
• The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering (2025)
  Zhuowei Li et al.
  1.28
• Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation (2025)
  Mohammad Mahdi Abootorabi et al.
  1.28
• The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1 (2025)
  Kaiwen Zhou et al.
  1.28
• MVL-SIB: A Massively Multilingual Vision-Language Benchmark for Cross-Modal Topical Matching (2025)
  Fabian David Schmidt et al.
  1.28
• OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference (2025)
  Xiangyu Zhao et al.
  1.28
• VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model (2025)
  Jiani Zheng et al.
  1.28
• Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content (2025)
  Zicheng Zhang et al.
  1.28
• VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering (2025)
  Yanling Wang et al.
  1.28
• Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning (2025)
  Yufei Zhan et al.
  1.28
• Video-R1: Reinforcing Video Reasoning in MLLMs (2025)
  Kaituo Feng et al.
  1.28
• APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay (2025)
  Akshara Prabhakar et al.
  1.28
• MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models (2025)
  Wulin Xie et al.
  1.28
• SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning (2025)
  Prabhat Pandey et al.
  1.28
• Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding (2025)
  Tao Zhang et al.
  1.28
• DataDecide: How to Predict Best Pretraining Data with Small Experiments (2025)
  Ian Magnusson et al.
  1.28
• NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes (2025)
  Tianyang Xu et al.
  1.28
• Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family (2025)
  Pierre-Carl Langlais et al.
  1.28
• Phi-4-reasoning Technical Report (2025)
  Marah Abdin et al.
  1.28
• Seed1.5-VL Technical Report (2025)
  Dong Guo et al.
  1.28
• s3: You Don't Need That Much Data to Train a Search Agent via RL (2025)
  Pengcheng Jiang et al.
  1.28
• Visual Agentic Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning (2025)
  Xiaoyun Zhang et al.
  1.28
• Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding (2025)
  Xiaoyi Zhang et al.
  1.28
• Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents (2025)
  Jenny Zhang 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
• Play to Generalize: Learning to Reason Through Game Play (2025)
  Yunfei Xie et al.
  1.28
• StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling (2025)
  Meng Wei et al.
  1.28
• Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs (2025)
  Yangning Li et al.
  1.28
• (Almost) Free Modality Stitching of Foundation Models (2025)
  Jaisidh Singh et al.
  1.28
• WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization (2025)
  Zhengwei Tao et al.
  1.28
• MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning (2025)
  Run-Ze Fan et al.
  1.28
• A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence (2025)
  Huan-ang Gao et al.
  1.28