Key papers

• Agentic Reinforced Policy Optimization (2025)
  Guanting Dong et al.
  19.50
• Arcee's Mergekit: A Toolkit For Merging Large Language Models (2024)
  Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.
  18.99
• R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning (2025)
  Huatong Song et al.
  18.62
• Tool Learning With Large Language Models: A Survey (2024)
  Changle Qu, Sunhao Dai, Xiaochi Wei, et al.
  18.48
• SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning (2025)
  Haozhan Li et al.
  18.29
• Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL (2025)
  Weizhen Li et al.
  18.12
• Kimi K2.5: Visual Agentic Intelligence (2026)
  Kimi Team: Tongtong Bai et al.
  17.30
• EASYTOOL: Enhancing Llm-based Agents With Concise Tool Instruction (2024)
  Siyu Yuan, Kaitao Song, Jiangjie Chen, et al.
  16.88
• AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis (2026)
  Bing Yan et al.
  16.55
• InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners (2025)
  Yuhang Liu et al.
  16.16
• Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable (2026)
  Ruhan Wang et al.
  15.69
• AREX: Towards a Recursively Self-Improving Agent for Deep Research (2026)
  Shuqi Lu et al.
  15.64
• Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments (2026)
  Qiuyue Wang et al.
  14.99
• SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning (2026)
  Jinyang Wu et al.
  14.72
• AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security (2026)
  Dongrui Liu et al.
  14.67
• Tool Learning With Foundation Models (2023)
  Yujia Qin, Shengding Hu, Yankai Lin, et al.
  14.58
• A New Role for Relevance: Guiding Corpus Interaction in Agentic Search (2026)
  Jiangnan Li et al.
  14.53
• APPO: Agentic Procedural Policy Optimization (2026)
  Xucong Wang et al.
  14.49
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models (2025)
  DeepSeek-AI et al.
  14.19
• Deep Research Agents: A Systematic Examination And Roadmap (2025)
  Yuxuan Huang et al.
  13.91
• ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory (2026)
  Jiayi Tian et al.
  13.83
• Agent Explorative Policy Optimization for Multimodal Agentic Reasoning (2026)
  Minki Kang et al.
  13.64
• LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories (2026)
  Baochang Ren et al.
  13.47
• AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration (2026)
  Jiaqi Liu et al.
  13.41
• UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning (2026)
  Niu Lian et al.
  13.34
• Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks (2026)
  Mengyu Zheng et al.
  13.22
• Can AI agents conduct open-ended AI research? Early evidence from two case studies (2026)
  Peter Kirgis et al.
  13.04
• ACC: Compiling Agent Trajectories for Long-Context Training (2026)
  Qisheng Su et al.
  12.95
• ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog (2026)
  Lingao Xiao et al.
  12.91
• OpenComputer: Verifiable Software Worlds for Computer-Use Agents (2026)
  Jinbiao Wei et al.
  12.83
• SWE-Pruner Pro: The Coder LLM Already Knows What to Prune (2026)
  Yuhang Wang et al.
  12.73
• From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI (2026)
  Yongheng Zhang et al.
  12.64
• COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation (2026)
  Tianyi Zhou et al.
  12.59
• EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments (2026)
  Zhilin Wang et al.
  12.56
• ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes (2026)
  Qihao Zhao et al.
  12.56
• LightMem-Ego: Your AI Memory for Everyday Life (2026)
  Yijun Chen et al.
  12.31
• Planning, Creation, Usage: Benchmarking Llms For Comprehensive Tool Utilization In Real-world Complex Scenarios (2024)
  Shijue Huang, Wanjun Zhong, Jianqiao Lu, et al.
  12.31
• KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill (2026)
  Yunxin Li et al.
  12.06
• DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation (2026)
  Yibo Wang et al.
  12.04
• AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security (2026)
  Dongrui Liu et al.
  12.01
• Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model (2026)
  Xinghang Li et al.
  11.97
• GrepSeek: Training Search Agents for Direct Corpus Interaction (2026)
  Alireza Salemi et al.
  11.95
• Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents (2026)
  Suji Kim et al.
  11.92
• Mellum2 Technical Report (2026)
  Marko Kojic et al.
  11.92
• Prompt Injection Attacks in Large Language Models and AI Agent Systems: A Comprehensive Review of Vulnerabilities, Attack Vectors, and Defense Mechanisms (2026)
  Saidakhror Gulyamov et al.
  11.81
• AgenticDataBench: A Comprehensive Benchmark for Data Agents (2026)
  Zhaoyan Sun et al.
  11.78
• Agent models: Internalizing Chain-of-Action Generation into Reasoning models (2025)
  Yuxiang Zhang et al.
  11.76
• See2Think: Do Multimodal Models Really Use Intermediate Visual States? (2026)
  Siyu Yan et al.
  11.70
• Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models (2026)
  Yubo Wang et al.
  11.69
• AutoMem: Automated Learning of Memory as a Cognitive Skill (2026)
  Shengguang Wu et al.
  11.65
• Playful Agentic Robot Learning (2026)
  Junyi Zhang et al.
  11.62
• WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning (2026)
  Zelai Xu et al.
  11.59
• Relay Hindsight Experience Replay: Self-guided Continual Reinforcement Learning For Sequential Object Manipulation Tasks With Sparse Rewards (2022)
  Yongle Luo, Yuxin Wang, Kun Dong, et al.
  11.58
• OpenThoughts-Agent: Data Recipes for Agentic Models (2026)
  Negin Raoof et al.
  11.53
• EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery (2026)
  Amy Xin et al.
  11.44
• Guava: An Effective and Universal Harness for Embodied Manipulation (2026)
  Haowen Liu et al.
  11.44
• Personal AI Agent for Camera Roll VQA (2026)
  Thao Nguyen et al.
  11.34
• SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution (2026)
  Zhiyuan Yao et al.
  11.33
• Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism (2026)
  Haoxiang Zhang et al.
  11.32
• Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills (2026)
  Siyuan Huang et al.
  11.27