Key papers

• AVO: Agentic Variation Operators for Autonomous Evolutionary Search (2026)
  Terry Chen et al.
  4.04
• Autonomous Scientific Discovery via Iterative Meta-Reflection (2026)
  Bingchen Zhao et al.
  2.00
• Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts (2026)
  Dhruv Trehan et al.
  1.94
• OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution (2026)
  Le Zhang et al.
  1.94
• ResearchGym: Evaluating Language Model Agents on Real-World AI Research (2026)
  Aniketh Garikaparthi et al.
  1.94
• Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents (2026)
  Bowen Ye et al.
  1.94
• PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research (2026)
  Tingjia Miao et al.
  1.94
• Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents (2026)
  Seyed Moein Abtahi et al.
  1.94
• Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values (2026)
  Haonan Dong 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
• EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management (2026)
  Zherui Yang et al.
  1.94
• Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation (2026)
  Chenghao Zhang et al.
  1.89
• Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory (2026)
  Jiaqi Liu et al.
  1.83
• UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience (2026)
  Zichuan Lin et al.
  1.78
• Agentic Reasoning for Large Language Models (2026)
  Tianxin Wei et al.
  1.67
• A3: Android Agent Arena for Mobile GUI Agents (2025)
  Yuxiang Chai 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
• Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey (2025)
  Yaoting Wang et al.
  1.28
• SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills (2025)
  Boyuan Zheng et al.
  1.28
• Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding (2025)
  Xiaoyi Zhang et al.
  1.28
• Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO (2025)
  Muzhi Zhu et al.
  1.28
• SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems (2025)
  Peiran Li et al.
  1.28
• SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution (2025)
  Han Li et al.
  1.28
• Scaling Agents via Continual Pre-training (2025)
  Liangcai Su et al.
  1.28
• Position: Privacy Is Not Just Memorization! (2025)
  Niloofar Mireshghallah et al.
  1.28
• From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence (2025)
  Jian Yang et al.
  1.28
• OpenREAD: Reinforced Open-Ended Reasoing for End-to-End Autonomous Driving with LLM-as-Critic (2025)
  Songyan Zhang et al.
  1.28
• EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models (2025)
  Zechen Bai et al.
  1.28
• OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web (2024)
  Raghav Kapoor et al.
  —
• Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence (2024)
  Weize Chen et al.
  —
• AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases (2024)
  Zhaorun Chen et al.
  —
• The Vision of Autonomic Computing: Can LLMs Make It a Reality? (2024)
  Zhiyang Zhang et al.
  —
• HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale (2024)
  Huy Nhat Phan et al.
  —
• Revealing the Barriers of Language Agents in Planning (2024)
  Jian Xie et al.
  —