Key papers

• AVO: Agentic Variation Operators for Autonomous Evolutionary Search (2026)
  Terry Chen et al.
  4.04
• MemSyco-Bench: Benchmarking Sycophancy in Agent Memory (2026)
  Zhishang Xiang et al.
  2.00
• AgenticDataBench: A Comprehensive Benchmark for Data Agents (2026)
  Zhaoyan Sun et al.
  2.00
• WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks (2026)
  Hao Bai et al.
  1.94
• Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts (2026)
  Dhruv Trehan et al.
  1.94
• Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction (2026)
  Muzhao Tian et al.
  1.94
• EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines (2026)
  Shuo Zhang et al.
  1.94
• DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems (2026)
  Maojun Sun et al.
  1.94
• OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution (2026)
  Le Zhang et al.
  1.94
• Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience (2026)
  Zhongxiang Sun et al.
  1.94
• ContextBench: A Benchmark for Context Retrieval in Coding Agents (2026)
  Han Li et al.
  1.94
• POINTS-GUI-G: GUI-Grounding Journey (2026)
  Zhongyin Zhao et al.
  1.94
• Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception (2026)
  Lai Wei et al.
  1.94
• SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks (2026)
  Xiangyi Li et al.
  1.94
• REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents (2026)
  Zheng Chu et al.
  1.94
• ResearchGym: Evaluating Language Model Agents on Real-World AI Research (2026)
  Aniketh Garikaparthi 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
• Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? (2026)
  Dadi Guo et al.
  1.94
• HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel (2026)
  The Viet Bui 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
• PRBench: End-to-end Paper Reproduction in Physics Research (2026)
  Shi Qiu et al.
  1.94
• Learning to Retrieve from Agent Trajectories (2026)
  Yuqi Zhou et al.
  1.94
• Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents (2026)
  Bowen Ye et al.
  1.94
• HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help? (2026)
  Mohamed Elfeki et al.
  1.94
• MERRIN: A Benchmark for Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments (2026)
  Han Wang et al.
  1.94
• Latent Preference Modeling for Cross-Session Personalized Tool Calling (2026)
  Yejin Yoon et al.
  1.94
• Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents (2026)
  Seyed Moein Abtahi 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
• Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction (2026)
  Yuxuan Huang et al.
  1.94
• FORTIS: Benchmarking Over-Privilege in Agent Skills (2026)
  Shawn Li et al.
  1.94
• Continual Harness: Online Adaptation for Self-Improving Foundation Agents (2026)
  Seth Karten et al.
  1.94
• Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values (2026)
  Haonan Dong et al.
  1.94
• MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning (2026)
  Yaolun Zhang et al.
  1.94
• Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces (2026)
  William Lugoloobi et al.
  1.94
• Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems (2026)
  Shihao Qi et al.
  1.94
• AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents (2026)
  Sharareh Younesian et al.
  1.94
• HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents (2026)
  Woongyeng Yeo et al.
  1.94
• MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems (2026)
  Hyunji Lee et al.
  1.94
• MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents (2026)
  Ziyun Zeng et al.
  1.94
• SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents (2026)
  Bingchen Zhao et al.
  1.94
• From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills (2026)
  Zisu Huang et al.
  1.94
• SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking (2026)
  Guohong Liu et al.
  1.94
• CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents (2026)
  Bowen Wang et al.
  1.94
• LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know? (2026)
  HuiMing Fan et al.
  1.94
• WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction (2026)
  Chengzhi Liu et al.
  1.94
• From Prompt Injection to Persistent Control: Defending Agentic Harness Against Trojan Backdoors (2026)
  Jiejun Tan et al.
  1.94
• Task-Focused Memorization for Multimodal Agents (2026)
  Tao Zou et al.
  1.94
• ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment (2026)
  Qiuyu Tian et al.
  1.94
• FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search (2026)
  James Xu Zhao et al.
  1.94
• SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces (2026)
  Qi Hu 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
• AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents (2026)
  Yiheng Shu et al.
  1.94
• AURA: Action-Gated Memory for Robot Policies at Constant VRAM (2026)
  Josef Chen
  1.94
• EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management (2026)
  Zherui Yang et al.
  1.94
• AURA: Intent-Directed Probing for Implicit-Need Surfacing in Situated LLM Agents (2026)
  Yang Li et al.
  1.94
• Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents (2026)
  Shuo Ji et al.
  1.94
• OpenSkill: Open-World Self-Evolution for LLM Agents (2026)
  Zhiling Yan et al.
  1.94
• Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking (2026)
  Fan Zhang et al.
  1.94
• The Cold-Start Safety Gap in LLM Agents (2026)
  Chung-En Sun et al.
  1.94