Multi-Agent Communication

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33 papers in the last four weeks, up 136% on the four weeks before. 0.3% of all new papers.

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Latest papers 229

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Ahoy: LLMs Enacting Multiagent Interaction Protocols
Jun 3, 2026Omkar J. Joshi, Munindar P. Singh, Amit K. ChopraLLM Agents Multi-Agent Systems
North Carolina State University, Raleigh, NC, USA · Lancaster University, Lancaster, UK
What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems
Jun 3, 2026Chen Huang, Yuhao Wu, Wenxuan ZhangMulti-Agent LLM Systems Multi-Agent System Optimization
Singapore University of Technology and Design
Streaming Communication in Multi-Agent Reasoning
Jun 3, 2026Zhen Yang, Xiaogang Xu, Wen Wang +3Multi-Agent LLM Systems Multi-Agent System Optimization
HKUST(GZ) · ZJU · Alibaba Group +1
Channel Fracture: Three Instances of Cross-Boundary Silent Delivery Reliability Failures in Multi-Agent Systems
Jun 3, 2026Dexing LiuAgent Failure Analysis Multi-Agent Systems
Shanghai Qijing Digital Technology Co., Ltd.
SMAC-Talk: A Natural Language Extension of the StarCraft Multi-Agent Challenge for Large Language Models
Jun 2, 2026Joel Sol, Homayoun NajjaranMulti-Agent Coordination LLM Agent Evaluation
Faculty of Engineering and Computer Science University of Victoria Victoria, BC, Canada
Capability Advertisement as a Market for Lemons: A Trust Layer for Heterogeneous Agent Networks
Jun 2, 2026Gaurav Naresh MittalAI Agent Reliability Agent Communication Protocols
Self-Regulation through Communication in Evolved Neural Agents
Jun 1, 2026Joshua NunleyMulti-Agent Communication Emergent Communication
Indiana University, Bloomington, IN, USA
MOC: Multi-Order Communication in LLM-based Multi-Agent Systems
Jun 1, 2026Yao Guan, Lin Wang, Zhihu Lu +3Multi-Agent LLM Systems Multi-Agent System Optimization
Fudan University · Nanjing Normal University · Pennsylvania State University
Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
Jun 1, 2026Youssef Mahran, Zeyad Gamal, Aamir Ahmad +1Multi-Agent Control Quadrotor Control
Mechatronics Engineering Department, German University in Cairo (GUC), Egypt · Institute of Flight Mechanics and Control (IFR), Head of Flight Robotics, University of Stuttgart, Germany · Faculty of EMS, Head of Mechatronics Engineering Department, German University in Cairo (GUC), Egypt
Dynamic Trust-Aware Sparse Communication Topology for LLM-Based Multi-Agent Consensus
Jun 1, 2026Wanshuang Gou, Zihan LiuMulti-Agent LLM Systems Multi-Agent System Optimization
Chengdu University
Spatio-Temporal Reconnection for Multi-Robot Networks using Adaptive Prescribed-Time CBFs
Jun 1, 2026Hao Liu, Yupeng Yang, Yanze Zhang +1Multi-Robot Systems Control Barrier Functions
Department of Computer Science, University of Illinois Chicago, Chicago, IL 60607, USA · Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
The Ringelmann Effect in Multi-Agent LLM Systems: A Scaling Law for Effective Team Size
May 31, 2026Blaž Bertalanič, Carolina FortunaMulti-Agent LLM Systems Multi-Agent Debate
Jozef Stefan Institute
SS-ZKR: Spatial-Semantic Zero-Knowledge Routing for Privacy-Preserving Multi-Agent Collaboration
May 31, 2026Hassan TouheedAgent Communication Protocols Multi-Agent System Security
Scaling Behavior of Single LLM-Driven Multi-Agent Systems
May 30, 2026Jialing Li, Zhouhong Gu, Yin Cai +1Multi-Agent LLM Systems Multi-Agent Coordination
Fudan University
Counterfactual Graph for Multi-Agent LLM Calibration
May 28, 2026Jiatan Huang, Mingchen Li, Ziming Li +3AI Agent Reliability Language Model Calibration
University of Connecticut · University of Massachusetts, Amherst
Enhancing Multi-Agent Communication through Attention Steering with Context Relevance
May 28, 2026Hongxiang Zhang, Yuan Tian, Tianyi ZhangMulti-Agent LLM Systems Multi-Agent System Optimization
Purdue University West Lafayette, IN, USA
CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems
May 28, 2026Ziyang Ma, Dingyi Zhang, Sichu Liang +4Multi-Agent System Optimization Multi-Agent Orchestration
Southeast University · Huawei Technologies Ltd
PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent Collaboration
May 28, 2026Shuyu Zhang, Yaqi Shi, Jiarui Zhang +2AI Agent Reliability Multi-Agent LLM Systems
School of Computer Science and Technology Xidian University Xi’an, China
Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system
May 28, 2026Junping Wang, Zhizhong Zhang, Yongqiang Tang +5Multi-Robot Systems Multi-Robot Coordination
1*State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, No.95 Zhongguancun East Road, Haidian District, Beijing, 100190, Beijing, China. · School of Artificial Intelligence, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing, 100049, Beijing, China. · 5Liupanshan Laboratory, Ningxia University, No.489, Helanshan West Road, Xixia District, Yingchuan, 750021, Ningxia, China. +2
Out of Sight, Not Out of Mind: Unveiling Latent Attack in Latent-based Multi-Agent Systems
May 27, 2026Chenxi Wang, Ruiyang Huang, Jiayan Sun +2Multi-Agent LLM Systems Adversarial Attacks
Southeast University, Nanjing, China · Peking University, Beijing, China
Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification
May 27, 2026Yaoyang Luo, Zhi Zheng, Ziwei Zhao +5Multi-Agent LLM Systems Fake News Detection
University of Science and Technology of China · North Automatic Control Technology Institute · Shenzhen Institute for Advanced Study, UESTC
TCP-MCP: Landscape-Guided Co-Evolution of Prompts and Communication Topologies for Multi-Agent Systems
May 27, 2026Yi Ding, Zijie Xuan, Haowei Zhou +6Multi-Agent LLM Systems Multi-Agent System Optimization
National Institute of Metrology, China · University of California, Berkeley · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences +5
SCALE-COMM: Shared, Contrastively-Aligned Latent Embeddings for MARL Communication
May 26, 2026Mahmoud Abouelyazid, Eman HammadMulti-Robot Coordination Decentralized MARL
Electrical and Computer Engineering Department Texas A&M University, College Station, TX, USA
Cost of Structural Learning Under Censored Feedback: A Threshold-Bandit Approach
May 26, 2026Michael Ledford, William RegliMulti-Armed Bandits Multi-Agent Coordination
University of Maryland, College Park
PEAR: Permutation-Equivariant Adaptive Routing Multi-Agent Debate
May 26, 2026Yang Feng, Ziwei Xu, Xia Hu +1Multi-Agent Debate Multi-Agent Systems
University of Edinburgh · Shanghai AI Laboratory
Sentinel: Embodied Cooperative Spatial Reasoning and Planning
May 25, 2026Xiangye Lin, Hongxin Zhang, Ruxi Deng +2AI Agent Benchmarks Multi-Agent Planning
University of Massachusetts Amherst · University of Illinois Urbana-Champaign
AgentSociety: Incentivizing Agentic Social Intelligence
May 25, 2026Aditya Vema Reddy Kesari, Krishna Reddy KesariMechanism Design Multi-Agent Collaboration
IIT Bombay, India · Amazon, US
A Token/KV-Cache Communication Media Selection and Resource Allocation Strategy for Multi-Agent Collaboration
May 25, 2026Lipeng Dai, Luping Xiang, Kun YangMulti-Agent LLM Systems Multi-Agent Collaboration
State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, 210008, China · Institute of Intelligent Networks and Communications (NINE), Nanjing University (Suzhou Campus), Suzhou, 215163, China
HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol
May 25, 2026Xinyi Mou, Siyuan Wang, Zejun Li +2Agent Communication Protocols LLM Agent Training
1Fudan University · 2The Chinese University of Hong Kong · 3King’s College London +2
DarkForest: Less Talk, Higher Accuracy for Multi-Agent LLMs
May 24, 2026Yi Li, Songtao Wei, Dongming Jiang +3Multi-Agent LLM Systems Multi-Agent System Optimization
University of Texas at Dallas · Independent Researcher · University of California, Davis

Jun 3, 2026, cs.MAJ/K move · Enter open · S save

Ahoy: LLMs Enacting Multiagent Interaction Protocols

Omkar J. Joshi, Munindar P. Singh, Amit K. Chopra

North Carolina State University, Raleigh, NC, USA · Lancaster University, Lancaster, UK

LLM Agents Multi-Agent Systems Multi-Agent Communication

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An interaction protocol formalizes how the agents in a multiagent system interact, which facilitates implementing agents. Existing approaches yield agent implementations specific to the selected protocols. How can we engineer intelligent agents that can enact protocols but are programming-free? Our contribution, Ahoy, addresses this question by creating LLM agents that dynamically select and enact declarative protocols to achieve user goals. We demonstrate that an Ahoy agent can correctly and intelligently enact multiple protocols - concurrently if appropriate to the user goal - without specialized training. Ahoy's significance lies in that it brings together declarative protocols and LLMs, both approaches that promise improved knowledge engineering for agents.

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