Multi-Agent

Papers

• R-Zero: Self-Evolving Reasoning LLM from Zero Data (2025)
  Chengsong Huang et al.
  19.83
• Agentic Reinforced Policy Optimization (2025)
  Guanting Dong et al.
  19.61
• 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
• Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL (2025)
  Weizhen Li et al.
  18.23
• InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners (2025)
  Yuhang Liu et al.
  16.27
• Mapcoder: Multi-agent Code Generation For Competitive Problem Solving (2024)
  Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
  15.96
• MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent (2025)
  Hongli Yu et al.
  15.38
• Dynamic Multi-robot Task Allocation Under Uncertainty And Temporal Constraints (2020)
  Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, et al.
  15.28
• 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
• AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security (2026)
  Dongrui Liu et al.
  14.78
• 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
• Deep Research Agents: A Systematic Examination And Roadmap (2025)
  Yuxuan Huang et al.
  14.02
• Kimi K2.5: Visual Agentic Intelligence (2026)
  Kimi Team: Tongtong Bai et al.
  13.84
• Agent Explorative Policy Optimization for Multimodal Agentic Reasoning (2026)
  Minki Kang et al.
  13.75
• Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution (2026)
  Xucong Wang et al.
  13.67
• AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration (2026)
  Jiaqi Liu et al.
  13.52
• Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks (2026)
  Mengyu Zheng et al.
  13.33
• Learning Agent Communication Under Limited Bandwidth By Message Pruning (2019)
  Hangyu Mao, Zhengchao Zhang, Zhen Xiao, et al.
  13.23
• Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application (2026)
  Jiachun Li et al.
  13.22
• Heterogeneous Agent Collaborative Reinforcement Learning (2026)
  Zhixia Zhang et al.
  13.18
• ACC: Compiling Agent Trajectories for Long-Context Training (2026)
  Qisheng Su et al.
  13.06
• AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints (2026)
  Jiayu Liu et al.
  12.83
• AWorld: Orchestrating the Training Recipe for Agentic AI (2025)
  Chengyue Yu et al.
  12.78
• ResearchMath-14K: Scaling Research-Level Mathematics via Agents (2026)
  Guijin Son et al.
  12.37
• Streaming Communication in Multi-Agent Reasoning (2026)
  Zhen Yang et al.
  12.32
• Orchestra-o1: Omnimodal Agent Orchestration (2026)
  Fan Zhang et al.
  12.21
• HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry (2026)
  Tingyang Chen et al.
  11.97
• Agent models: Internalizing Chain-of-Action Generation into Reasoning models (2025)
  Yuxiang Zhang et al.
  11.87
• CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? (2026)
  Haolin Chen et al.
  11.86
• Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution (2025)
  Tianrui Qin et al.
  11.85
• MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents (2025)
  Kunlun Zhu et al.
  11.84
• SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research (2026)
  Pu Ning et al.
  11.78
• WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning (2026)
  Zelai Xu et al.
  11.70
• Latent Collaboration in Multi-Agent Systems (2025)
  Jiaru Zou et al.
  11.66
• It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs (2026)
  Sangwoo Park et al.
  11.64
• EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery (2026)
  Amy Xin et al.
  11.55
• Personal AI Agent for Camera Roll VQA (2026)
  Thao Nguyen et al.
  11.45
• A Cordial Sync: Going Beyond Marginal Policies For Multi-agent Embodied Tasks (2020)
  Unnat Jain, Luca Weihs, Eric Kolve, et al.
  11.39
• $\pi$-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows (2026)
  Haoran Zhang et al.
  11.23
• GIS Copilot: Towards An Autonomous GIS Agent For Spatial Analysis (2024)
  Temitope Akinboyewa, Zhenlong Li, Huan Ning, et al.
  11.08
• MARS: Modular Agent with Reflective Search for Automated AI Research (2026)
  Jiefeng Chen et al.
  10.85
• Dif-maml: Decentralized Multi-agent Meta-learning (2020)
  Mert Kayaalp, Stefan Vlaski, Ali H. Sayed
  10.85
• Fast Decomposition Of Temporal Logic Specifications For Heterogeneous Teams (2020)
  Kevin Leahy, Austin Jones, Cristian-Ioan Vasile
  10.85
• GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar Reselection (2026)
  Zheng Wu et al.
  10.77
• Mix-Quant: Quantized Prefilling, Precise Decoding for Agentic LLMs (2026)
  Haiquan Lu et al.
  10.69
• Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning (2025)
  Guanting Dong et al.
  10.67
• TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning (2026)
  Heming Zou et al.
  10.60
• 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.
  10.60