Multi-Agent Communication

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Overview

Multi-agent communication examines how agents share information, form common beliefs, and coordinate actions when each may have only a partial view of a task. Approaches include learned signaling in decentralized reinforcement learning, graph-based routing and debate among language-model agents, and compact symbolic or latent messages designed to reduce bandwidth and latency. Researchers evaluate these methods in settings such as cooperative navigation, StarCraft, reasoning and coding tasks, and embodied collaboration with limited or unreliable communication. A central tension is that messages can reveal information teammates need, but added communication can also create overhead, spread errors, reduce diversity, or expose systems to attacks.

Latest papers

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380 papers65 papers in the last four weeks, up 59% on the four weeks before. 0.4% of all new papers.

  1. Locating and Closing Information Gaps in Multi-Agent Systems

    Oct 29, 2026Yaxin Gong, Chongming Gao, Gangyi Zhang +7LLM Agent Workflow OptimizationMulti-Agent Systems

    University of Science and Technology of China · Qwen Business Unit of Alibaba · National University of Singapore

  2. Agent Transfer Protocol: Server-Mediated Agent-to-Agent Communication Architecture for the Agentic Web

    Oct 28, 2026Yuqi Qiu, Zuyao Xu, Lu Sun +5Agent Communication ProtocolsMulti-Agent Communication

    Nankai University Tianjin, China · Tsinghua University Beijing, China · Quancheng Laboratory Jinan, China

  3. Minimum Sufficient Communication for Independent Behaviour Tree Robot Teams

    Oct 28, 2026Sherry Jiang, Oliver ObstMulti-Agent CommunicationMulti-Robot Coordination

    School of Computer Science and Engineering UNSW Sydney, Australia

  4. Who Else Is In? Multi-Agent Collusion Initation Via Strategic Vagueness

    Oct 27, 2026Pramod Kaushik, Sarath Sivaprasad, Laura Ferrarotti +4Multi-Agent System SecurityMulti-Agent LLM Systems

    University of Trento · Fondazione Bruno Kes sler · CISPA +4

  5. Selective and Hybrid-State Communication for Latent Multi-Agent Systems

    Oct 27, 2026Miles Liao, Aaron Smieszek, Yuhao GeMulti-Agent CommunicationMulti-Agent LLMs

    Independent Researcher

  6. TeamGym: A Gym for Team Decision-Making by AI Agents with Distributed Information

    Oct 27, 2026Chanwoo Park, Jaywoong Jeong, Zachary Wojtowicz +4Multi-Agent CollaborationMulti-Agent Systems

    MIT · KAIST · UT Austin +1

  7. Test-Time Communication in Trading Agent Swarms

    Oct 27, 2026Avid Fayaz, Harry Zhang, Håvard Alstadheim +3Multi-Agent CommunicationMulti-Agent Systems

    Infinite Ascent, Stockholm, Sweden

  8. The Inbox as a Coordination Primitive for LLM Agent Societies

    Oct 26, 2026Karthik Sreedhar, Leo Yuan, Pradyumna Chari +1Multi-Agent CoordinationMulti-Agent Communication

    MIT Media Lab, Cambridge, USA

  9. Collective Emergent Alignment: Measuring and Amplifying Interaction-Induced Reasoning Alignment in Multi-Agent LLMs

    Oct 26, 2026Boxuan Wang, Zhuoyun Li, Sarvapali D. Ramchurn +2Multi-Agent ReasoningMulti-Agent LLMs

    School of Computer Science and Informatics, University of Liverpool, UK · School of Electronics and Computer Science, University of Southampton, UK

  10. Networked Humanoid Intelligence: Communication, Coordination, Collaboration, and Social Interaction

    Oct 26, 2026Loc X. Nguyen, Huy Q. Le, Ji Su Yoon +3Humanoid RoboticsMulti-Agent Communication

    School of Computing, Kyung Hee University, Republic of Korea · The University of Sydney, Australia

  11. J-Comm: Jacobian-Guided Latent Communication between LLM Agents

    Oct 23, 2026Xiangwei Wang, Wei Wang, Sachith Seneviratne +4Multi-Agent CommunicationMulti-LLM Collaboration

    The University of Melbourne · Shanghai Jiao Tong University

  12. Beyond Final Outcomes: Quantifying Claim-Level Information Dynamics in Multi-Agent LLM Interaction

    Oct 23, 2026Haocheng Jiang, Herun Wan, Yongyuan Peng +1Multi-Agent LLM SystemsLLM Agent Evaluation

    Xi’an Jiaotong University

  13. Understanding Communication Failures in Multi-Agent LLM Systems

    Oct 23, 2026Priya Pitre, Jun Hou, Yi Fang +2Multi-Agent LLM SystemsMulti-Agent Communication

    Virginia Tech, Blacksburg, VA 24061, USA

  14. Muffin - A Shared Memory Buffer for Asynchronous AI Agents

    Oct 22, 2026Ping-Lin Kuo, Suman Navaratnarajah, Christian Frey +2Multi-Agent LLM SystemsShared-Memory Multi-Agent Systems

    Department of Computer Science & Artificial Intelligence, University of Technology Nuremberg, Dr.-Luise-Herzberg-Straße 4, 90461 Nuremberg, Germany

  15. LatBridge: Efficient and Stable Model Replacement in Latent-Communication Multi-Agent Systems

    Oct 20, 2026Jiajun Zhu, Haobo Li, Zixin Chen +2Multi-Agent LLM SystemsMulti-Agent Systems

    The Hong Kong University of Science and Technology

  16. Measuring Consensus in AI Agent Networks

    Oct 17, 2026Jin GaoMulti-Agent ConsensusMulti-Agent Systems

    Independent Researcher, USA

  17. Neuro-Inspired Inhibitory Message Passing for Accurate and Token-Efficient Multi-Agent Reasoning

    Oct 17, 2026Nima H. Siboni, Magdalena Springer, Vahid RostamiMulti-Agent ReasoningMulti-Agent Communication

    Computational Systems Neuroscience, Institute of Zoology, University of Cologne, Germany

  18. The Weight of Teamwork: Does Communication Structure Help LLM Scientists Search for Scientific Laws?

    Oct 16, 2026Jianing Shi, Zaibin Zhang, Shijun Lei +1Multi-LLM CollaborationMulti-Agent Communication

    The University of Chicago (uchicago.edu) · Dalian University of Technology (dlut.edu.cn) · Northwestern Polytechnical University (nwpu.edu.cn) +1

  19. Towards High Semantic Fidelity: Hyperdimensional Symbolic Messages in Multi-Agent Communication

    Oct 16, 2026Shoucheng Song, Chang Yao, Hao Wu +3Semantic CommunicationMulti-Agent Communication

    School of Computer Science & Technology, Beijing Jiaotong University, Beijing, China · Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, Beijing, China · Institute of Artificial Intelligence of China Telecom (TeleAI), Beijing, China

  20. Cryptographically Secure Agent-to-Agent Communication in Multi-Agent Systems

    Oct 16, 2026Karol Budzyn, Adrian Brodzik, Mateusz SzczepkowskiMulti-Agent System SecurityMulti-Agent Communication

    Orange Innovation Poland

  21. Thought Blocks: Non-Autoregressive Latent Communication for Multi-Agent Systems via Trajectory-to-State Compilation

    Oct 16, 2026Zhenhan Guan, Xiaolong Liu, Hengwei Ye +1Multi-Agent CommunicationMulti-Agent LLM Systems

    ShanghaiTech University, Shanghai, China · AI Lab, The Yangtze River Delta, Changzhou, China

  22. Gossip Agents: Reputation through Opinion Dynamics over Evolving Networks

    Oct 15, 2026Yutong Wu, Arlei SilvaCooperative MARLMulti-Agent Communication

    Rice University Houston, United States

  23. FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds

    Oct 15, 2026Ohad Dan, Abhinav TaliyanMulti-Agent OrchestrationAI Agent Architecture

  24. Robust Multi-Agent Pursuit with Preemptive Communication via Reachability-Based Control Barrier Functions

    Oct 15, 2026Madison Book, Justin BradleyMulti-Agent SystemsMulti-Agent Communication

    Department of Computer Science, NC State University, Raleigh, NC, USA

  25. Augment the Cache, Replace the Activation: A 2x2 Study of Internal-State Sharing

    Oct 15, 2026Adam Deng, Shicheng Liu, Yada ZhuMulti-Agent CommunicationMulti-Agent LLM Systems

    MIT ORC · MIT CSAIL · IBM Research

  26. A Responsibility-Centered Coordination Mechanism for Decentralized Multi-Agent Systems

    Oct 15, 2026Thi-Nhung Nguyen, Viet-Thanh Pham, Linhao Luo +2Multi-Agent CoordinationMulti-Agent Systems

    Department of Data Science & AI, Monash University

  27. Do AI Agents Gossip? Evaluative Talk in Human and AI-Agent Online Communities

    Oct 14, 2026Yong-Hui Hua, Chih-Han Lin, Shu-Kai HsiehLLM AgentsMulti-Agent Communication

    Graduate Institute of Linguistics, National Taiwan University

  28. What and Where in Identifying and Quantifying Conventions in Humans and AI Agents

    Oct 14, 2026Makoto Fukushima, Tim PuphalMulti-Agent CommunicationMulti-Agent Coordination

    Honda Research Institute Europe

  29. Drivers of LLM Consensus Formation Under Competing Incentives: A Simulation Study

    Oct 14, 2026Isabel Jones, Matthew Edwards, Janina A. HoffmannMulti-Agent ConsensusMulti-Agent LLM Systems

    University of Bristol Bristol, United Kingdom · University of Bath Bath, United Kingdom

  30. What Makes a Social Agent's Interactions Effective? Learning from Verifiable Outcomes in Paired Worlds

    Oct 14, 2026Caixin Kang, Ke Wang, Yuchuan Wu +5LLM Agent EvaluationLLM Agent Training

    Alibaba Token Hub, Alibaba Group · The University of Tokyo