Key papers

• R-Zero: Self-Evolving Reasoning LLM from Zero Data (2025)
  Chengsong Huang et al.
  19.72
• Autogen Studio: A No-code Developer Tool For Building And Debugging Multi-agent Systems (2024)
  Victor Dibia, Jingya Chen, Gagan Bansal, et al.
  19.59
• Agentic Reinforced Policy Optimization (2025)
  Guanting Dong et al.
  19.50
• Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL (2025)
  Weizhen Li et al.
  18.12
• ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU (2026)
  Fan Jiang et al.
  17.67
• Kimi K2.5: Visual Agentic Intelligence (2026)
  Kimi Team: Tongtong Bai et al.
  17.30
• 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
• Mapcoder: Multi-agent Code Generation For Competitive Problem Solving (2024)
  Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
  15.96
• AREX: Towards a Recursively Self-Improving Agent for Deep Research (2026)
  Shuqi Lu et al.
  15.64
• Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering (2026)
  Junlin Yang et al.
  15.36
• Dynamic Multi-robot Task Allocation Under Uncertainty And Temporal Constraints (2020)
  Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, et al.
  15.28
• MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent (2025)
  Hongli Yu et al.
  15.26
• MAPPER: Multi-agent Path Planning With Evolutionary Reinforcement Learning In Mixed Dynamic Environments (2020)
  Zuxin Liu, Baiming Chen, Hongyi Zhou, et al.
  15.19
• A Multi-agent Reinforcement Learning Approach For Efficient Client Selection In Federated Learning (2022)
  Sai Qian Zhang, Jieyu Lin, Qi Zhang
  15.00
• 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
• COVINS: Visual-inertial SLAM For Centralized Collaboration (2021)
  Patrik Schmuck, Thomas Ziegler, Marco Karrer, et al.
  14.66
• VMAS: A Vectorized Multi-agent Simulator For Collective Robot Learning (2022)
  Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, et al.
  14.32
• 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
• Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution (2026)
  Xucong Wang et al.
  13.56
• AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration (2026)
  Jiaqi Liu et al.
  13.41
• UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks (2026)
  Zhekai Chen et al.
  13.35
• UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning (2026)
  Niu Lian et al.
  13.34
• OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning (2026)
  Shuo Yang et al.
  13.31
• Learning Agent Communication Under Limited Bandwidth By Message Pruning (2019)
  Hangyu Mao, Zhengchao Zhang, Zhen Xiao, et al.
  13.23
• Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks (2026)
  Mengyu Zheng et al.
  13.22
• Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application (2026)
  Jiachun Li et al.
  13.11
• Heterogeneous Agent Collaborative Reinforcement Learning (2026)
  Zhixia Zhang et al.
  13.07
• EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World (2026)
  Qing Zong et al.
  12.97
• ACC: Compiling Agent Trajectories for Long-Context Training (2026)
  Qisheng Su et al.
  12.95
• AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints (2026)
  Jiayu Liu et al.
  12.72
• Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent (2026)
  Lei Bai et al.
  12.68
• AWorld: Orchestrating the Training Recipe for Agentic AI (2025)
  Chengyue Yu et al.
  12.66
• The Verification Horizon: No Silver Bullet for Coding Agent Rewards (2026)
  Binghai Wang et al.
  12.31
• ResearchMath-14K: Scaling Research-Level Mathematics via Agents (2026)
  Guijin Son et al.
  12.25
• Streaming Communication in Multi-Agent Reasoning (2026)
  Zhen Yang et al.
  12.21
• AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities (2026)
  Kai Chen et al.
  12.21
• Orchestra-o1: Omnimodal Agent Orchestration (2026)
  Fan Zhang et al.
  12.09
• Beyond Static Leaderboards: Predictive Validity for the Evaluation of LLM Agents (2026)
  Dhaval C. Patel et al.
  12.09
• DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation (2026)
  Yibo Wang et al.
  12.04
• Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction (2026)
  Tencent WorkBuddy Bench Team et al.
  11.87
• 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
• VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement (2026)
  Seohyun Lee et al.
  11.77
• Agent models: Internalizing Chain-of-Action Generation into Reasoning models (2025)
  Yuxiang Zhang et al.
  11.76
• Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning (2026)
  Shiding Zhu et al.
  11.76
• CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? (2026)
  Haolin Chen et al.
  11.75
• Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution (2025)
  Tianrui Qin et al.
  11.74
• MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents (2025)
  Kunlun Zhu et al.
  11.73
• ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking (2026)
  Qiang Zhang et al.
  11.73
• SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research (2026)
  Pu Ning et al.
  11.67
• 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
• Latent Collaboration in Multi-Agent Systems (2025)
  Jiaru Zou et al.
  11.55
• It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs (2026)
  Sangwoo Park et al.
  11.53
• OpenThoughts-Agent: Data Recipes for Agentic Models (2026)
  Negin Raoof et al.
  11.53
• Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning (2025)
  Haoran Luo et al.
  11.44