Key papers

• The Distracting Effect: Understanding Irrelevant Passages in RAG (2025)
  Chen Amiraz et al.
  4.47
• Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis (2025)
  Priyanka Kargupta et al.
  3.81
• Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts (2026)
  Dhruv Trehan et al.
  1.94
• AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context (2026)
  Lei Zhang et al.
  1.94
• RAPTOR: Ridge-Adaptive Logistic Probes (2026)
  Ziqi Gao et al.
  1.94
• FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation (2026)
  Zimu Lu et al.
  1.94
• SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks (2026)
  Xiangyi Li et al.
  1.94
• Panini: Continual Learning in Token Space via Structured Memory (2026)
  Shreyas Rajesh et al.
  1.94
• ISO-Bench: Can Coding Agents Optimize Real-World Inference Workloads? (2026)
  Ayush Nangia et al.
  1.94
• SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale (2026)
  Ibragim Badertdinov et al.
  1.94
• HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel (2026)
  The Viet Bui et al.
  1.94
• Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders (2026)
  Boqiang Zhang et al.
  1.94
• The PokeAgent Challenge: Competitive and Long-Context Learning at Scale (2026)
  Seth Karten et al.
  1.94
• HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering (2026)
  Dan Ben-Ami et al.
  1.94
• ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents (2026)
  Hao Zhang et al.
  1.94
• Qualixar OS: A Universal Operating System for AI Agent Orchestration (2026)
  Varun Pratap Bhardwaj
  1.94
• Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG (2026)
  Yiqun Sun et al.
  1.94
• Dual-View Training for Instruction-Following Information Retrieval (2026)
  Qingcheng Zeng et al.
  1.94
• From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills (2026)
  Qiliang Liang et al.
  1.94
• Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon (2026)
  Víctor Gallego
  1.94
• Learning POMDP World Models from Observations with Language-Model Priors (2026)
  Valentin Six et al.
  1.94
• LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws (2026)
  Xu Ouyang et al.
  1.94
• CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents (2026)
  Bowen Wang et al.
  1.94
• RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains (2026)
  Haoxiang Jiang et al.
  1.94
• From Prompt Injection to Persistent Control: Defending Agentic Harness Against Trojan Backdoors (2026)
  Jiejun Tan et al.
  1.94
• ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment (2026)
  Qiuyu Tian et al.
  1.94
• Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams (2026)
  Zewen Liu et al.
  1.94
• SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations (2026)
  Taewon Yun et al.
  1.94
• Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents (2026)
  Shuo Ji et al.
  1.94
• The Cold-Start Safety Gap in LLM Agents (2026)
  Chung-En Sun et al.
  1.94
• PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems (2026)
  Suraj Ranganath et al.
  1.94
• When Agents Commit Too Soon: Diagnosing Premature Commitment in LLM Agents (2026)
  Aman Mehta
  1.94
• Evaluating Temporal Semantic Caching and Workflow Optimization in Agentic Plan-Execute Pipelines (2026)
  Alimurtaza Mustafa Merchant et al.
  1.89
• PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft (2026)
  Yuchen Guo et al.
  1.89
• LACUNA: Safe Agents as Recursive Program Holes (2026)
  Yaoyu Zhao et al.
  1.89
• REPOT: Recoverable Program-of-Thought via Checkpoint Repair (2026)
  Parsa Mazaheri
  1.89
• AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks (2026)
  Prince Zizhuang Wang et al.
  1.83
• Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows (2026)
  Chenxin Li et al.
  1.83
• Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers (2026)
  Bozhou Li et al.
  1.72
• Control LLM: Controlled Evolution for Intelligence Retention in LLM (2025)
  Haichao Wei et al.
  1.28
• ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer (2025)
  Lin Yueyu et al.
  1.28
• MetaChain: A Fully-Automated and Zero-Code Framework for LLM Agents (2025)
  Jiabin Tang et al.
  1.28
• Rethinking Diverse Human Preference Learning through Principal Component Analysis (2025)
  Feng Luo et al.
  1.28
• LettuceDetect: A Hallucination Detection Framework for RAG Applications (2025)
  Ádám Kovács et al.
  1.28
• Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance (2025)
  Xueqing Peng et al.
  1.28
• LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM (2025)
  Sambal Shikhar et al.
  1.28
• BIMBA: Selective-Scan Compression for Long-Range Video Question Answering (2025)
  Md Mohaiminul Islam et al.
  1.28
• ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering (2025)
  Kaisi Guan et al.
  1.28
• AgentRxiv: Towards Collaborative Autonomous Research (2025)
  Samuel Schmidgall 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
• Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking (2025)
  Chris Samarinas et al.
  1.28
• ReasonIR: Training Retrievers for Reasoning Tasks (2025)
  Rulin Shao et al.
  1.28
• Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems (2025)
  Shaokun Zhang et al.
  1.28
• AI-Driven Scholarly Peer Review via Persistent Workflow Prompting, Meta-Prompting, and Meta-Reasoning (2025)
  Evgeny Markhasin
  1.28
• Seed1.5-VL Technical Report (2025)
  Dong Guo et al.
  1.28
• LLM Context Conditioning and PWP Prompting for Multimodal Validation of Chemical Formulas (2025)
  Evgeny Markhasin
  1.28
• Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding (2025)
  Xiaoyi Zhang et al.
  1.28
• The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets (2025)
  Shenzhe Zhu et al.
  1.28
• Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning (2025)
  Jikai Jin et al.
  1.28
• AutoMind: Adaptive Knowledgeable Agent for Automated Data Science (2025)
  Yixin Ou et al.
  1.28