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.

Jul 13Week of Sep 28

Latest papers 231

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GPTNT: Benchmarking Real-Time Collaboration Between Multimodal Agents on Keep Talking And Nobody Explodes
Jun 26, 2026Amit Parekh, Sabrina McCallum, Kareem Al-Hasan +3Game-Playing Agents Multi-Agent Collaboration
Heriot-Watt University · University of Edinburgh
QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems
Jun 25, 2026Congjia Tian, Yuhang Yao, Jiaming CuiMulti-Agent LLM Systems Multi-Agent System Optimization
Virginia Tech, Blacksburg, VA · Carnegie Mellon University, Pittsburgh, PA
Integrated cloud-based architecture for robot-robot and human-robot collaboration using ROS 2--MQTT in Mediterranean Greenhouses
Jun 21, 2026F. Cañadas-Aránega, M. Muñoz, J. C. Moreno +1Robotics Multi-Robot Coordination
Department of Informatics, CIESOL, ceiA3, Universidad de Almería, Ctra.2026 Sacramento s/n, Almería, 04120, Spain · Department of Engineering, CIESOL, ceiA3, Universidad de Almería, Ctra. Sacramento s/n, Almería, 04120, Spain
Monitoring Diameters of Causal Communication Graph with Spatio-Temporal Logic
Jun 19, 2026Lydia Bakiri, Jérémy Dubut, Sergio MoverReachability Analysis Spatiotemporal Reasoning
LIX, CNRS, École polytechnique, Institut Polytechnique de Paris, Palaiseau, France
Communication Heterogeneity and Collective Consensus in Neural Cellular Automata
Jun 19, 2026Nishit SinghNeural Cellular Automata Multi-Agent Coordination
Birla Institute of Technology and Science, Pilani · Pilani, Rajasthan, India
Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination
Jun 18, 2026Esmaeil Seraj, Rohan Paleja, Luis Pimentel +7Multi-Robot Coordination Multi-Agent Communication
Georgia Institute of Technology · Carnegie Mellon University · Sandia National Laboratories
SIGMA: Skill-Incidence Graphs for Compositional Multi-Agent Design
Jun 18, 2026Kun Zeng, Yu Huo, Siyu Zhang +5Multi-Agent System Optimization Multi-Agent Systems
Sun Yat-sen University · School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen · Taiyuan University of Technology +1
Formal Verification of Learned Multi-Agent Communication Policies via Decision Tree Distillation
Jun 17, 2026Ahmad Farooq, Kamran IqbalNeural Network Verification Multi-Robot Coordination
Department of Electrical and Computer Engineering, University of Arkansas at Little Rock, Little Rock, AR 72204 USA
A Technical Taxonomy of LLM Agent Communication Protocols
Jun 17, 2026Linus Sander, Habtom Kahsay Gidey, Alexander Lenz +1Agent Communication Protocols Multi-Agent Communication
Technische Universität München, Munich, Germany.
EARS: Explanatory Abstention for Reliable Sub-Agent Modeling in Large-scale Multi-Agent Systems
Jun 17, 2026Shuang Xie, Yunan Lu, Han Li +1AI Agent Reliability Multi-Agent LLM Systems
Shopify · Columbia University
Distributed General-Purpose Agent Networks: Architecture, Key Mechanisms, and Prototypes
Jun 15, 2026Shengli Zhang, Deen Ma, Zibin Lin +1Multi-Agent Collaboration Multi-Agent Systems
College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, China
From Parasocial Scripts to Dyadic Persistence in Autonomous AI-Agent Communities
Jun 15, 2026Mohammadsadegh Abolhasani, Hamid Reza Firoozfar, Reza Mousavi +1Multi-Agent Communication
University of Utah · University of Virginia
BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning
Jun 15, 2026Almond Kiruthu MurimiMulti-Agent Systems Multi-Agent System Security
Carnegie Mellon University Department of Electrical and Computer Engineering Pittsburgh, Pennsylvania, United States
Misinformation Propagation in Benign Multi-Agent Systems
Jun 15, 2026Jonas Becker, Jan Philip Wahle, Terry Ruas +1Multi-Agent Debate Multi-Agent Communication
University of Göttingen, Germany · LKA NRW, Germany
Privacy-Preserving Text Sanitization for Distributed Agents Collaboration via Disentangled Representations
Jun 13, 2026Xuan Liu, Hefeng Zhou, Sicheng Chen +6Disentangled Representation Learning Privacy-Preserving ML
Shanghai Artificial Intelligence Laboratory
tap: A File-Based Protocol for Heterogeneous LLM Agent Collaboration
Jun 12, 2026Minseo KimMulti-Agent Communication Multi-LLM Collaboration
HUA Labs, Seoul, Republic of Korea
Faithful, Not Corrective: Model Capability Governs Message-Format Effects in Multi-Hop Agent Relays
Jun 12, 2026Sicheng ZengLLM Agents Multi-Agent Communication
Independent Researcher
LatentDx: Latent Multi-Agent Communication for Cross-Hospital Rare-Disease Diagnosis
Jun 11, 2026Ziqing Wang, Lili Zhao, Kaize DingMulti-Agent LLM Systems Rare Disease Diagnosis
Northwestern University
See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents
Jun 11, 2026Siyi Chen, Xiaoyan Zhang, Meng Wu +7Multi-Agent Communication Multi-Agent LLMs
University of Michigan · NVIDIA · University of Pennsylvania +2
How Task Structure Limits Multi-Agent Success: An Information-Theoretic Analysis
Jun 11, 2026Shi Pan, Ming LuoMulti-Agent Collaboration Multi-Agent Systems
University College London London, UK · University of Bristol Bristol, UK
The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale
Jun 11, 2026Quanyan ZhuMulti-Agent Coordination Multi-Agent Orchestration
Department of Electrical and Computer Engineering and the NYU Center for Cybersecurity, NYU Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA.
CCKS: Consensus-based Communication and Knowledge Sharing
Jun 10, 2026Jinyuan Zu, Xiaowei Lv, Yongcai Wang +5Multi-Agent Consensus Decentralized MARL
School of Information, Renmin University of China, Beijing 100872, China · State Key Laboratory of Multimodal Artificial Intelligence Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China · The Information Science Academy, China Electronics Technology Group Corporation, Beijing 100043, China +1
SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems
Jun 10, 2026Ruxue Shi, Yili Wang, Mengnan Du +4LLM Agent Security Multi-Agent System Security
School of Artificial Intelligence, Jilin University, Changchun, China · The Chinese University of Hong Kong, Shenzhen, China · School of Information and Communication Technology, Griffith University, Australia
LLM-Mediated Demand Response Coordination in Smart Microgrids
Jun 9, 2026J. de Curtò, I. de ZarzàMulti-Agent Coordination Agent-Based Modeling
Department of Computer Applications in Science & Engineering, BARCELONA Supercomputing Center, 08034 Barcelona, Spain · Escuela T´ecnica Superior de Ingenier´ıa (ICAI), Universidad Pontificia Comillas, 28015 Madrid, Spain · Human Centered AI, Data & Software, LUXEMBOURG Institute of Science and Technology, L-4362 Esch-sur-Alzette, Luxembourg
Guide Me Out: A Framework to Benchmark VLM Operators Communication in Crisis Scenarios
Jun 8, 2026Giacomo Gonella, Stefano Menini, Marco GueriniVLM Evaluation Disaster Response
Fondazione Bruno Kessler, Italy · University of Trento, Italy
MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics
Jun 8, 2026Ahmet Gunhan Aydin, Elif Tugce CeranSemantic Communication Multi-Robot Coordination
Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, 06800, Turkey · Aselsan Inc., Ankara, Turkey
Benchmarking Open-Ended Multi-Agent Coordination in Language Agents
Jun 6, 2026Kale-ab Abebe Tessera, Andras Szecsenyi, Cameron Barker +7Multi-Agent Coordination LLM Agent Evaluation
University of Edinburgh · University of Oxford · University College London
Aligned but Not Partner-Specific: How Multimodal LLM Agents Succeed in Reference Games Without Forming Conceptual Pacts
Jun 6, 2026Po-Ya Angela Wang, Chinmaya Mishra, Aslı Özyürek +2Repeated Games LLM Agent Evaluation
Co-Intelligence Humanities AI Future Lab and Graduate Institute of Linguistics, National Taiwan University · Multimodal Language Department, Max Planck Institute for Psycholinguistics · Donders Institute for Brain, Cognition and Behaviour, Radboud University +1
Byzantine Cheap Talk: Adversarial Resilience and Topology Effects in LLM Coordination Games
Jun 5, 2026Aya El Mir, Martin Takáč, Salem LahlouMulti-Agent LLM Systems Multi-Agent Coordination
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE
Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL
Jun 5, 2026Xinren Zhang, Zixin Zhong, Jiadong YuSequential MARL Agent Communication Protocols
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

Jun 26, 2026, cs.AIJ/K move · Enter open · S save

GPTNT: Benchmarking Real-Time Collaboration Between Multimodal Agents on Keep Talking And Nobody Explodes

Amit Parekh, Sabrina McCallum, Kareem Al-Hasan, Malvina Nikandrou+2

Heriot-Watt University · University of Edinburgh

Game-Playing Agents Multi-Agent Collaboration AI Agent Benchmarks Multimodal Agents Multi-Agent Communication

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Multimodal models are increasingly deployed to solve tasks collaboratively with humans or other artificial agents. Existing benchmarks show that these models possess many of the required component capabilities, but the conditions that coincide in collaboration, including time pressure, information asymmetry, and imperfect communication, are usually studied in isolation. We introduce GPTNT, a benchmark built on the cooperative video game Keep Talking and Nobody Explodes, in which two agents must coordinate to defuse procedurally generated bomb puzzles against a live countdown. One agent can see and manipulate the bomb but does not have the defusal instructions; the other has the instructions but cannot see or manipulate the bomb. Neither agent can succeed alone: success requires effective and efficient communication. Unlike turn-based proxies, GPTNT requires agents to act asynchronously and communicate in real time. GPTNT is designed to separate collaboration from reliance on memorized solutions: the instruction manual, the partner, or both can be withheld to isolate what a model derives in the moment from what it already knows. We show that GPTNT poses a substantial challenge for state-of-the-art systems: none of the closed- or open-source models we test defuses a single bomb in real time, a bar that human players clear. Through controlled experiments, we identify critical weaknesses in state tracking, efficient action under time pressure, ambiguity handling, and error recovery. We release GPTNT as a benchmark for collaborative performance that current evaluations leave unmeasured. Because it runs on the real game, GPTNT benefits from procedural generation and inherits a living modding community, allowing the benchmark to evolve as models improve rather than being solved once and retired.

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Latest papers 231