Overview

Multi-agent collaboration studies how groups of AI agents divide work, communicate, coordinate actions, and combine evidence or expertise to solve tasks that may exceed a single agent’s abilities. Common approaches include role-specialized teams, learned or adaptive communication graphs, debate and consensus protocols, shared memory, and multi-agent reinforcement learning for settings such as ad hoc teamwork, software engineering, reasoning, and robotics. Researchers evaluate systems on task-specific benchmarks and increasingly measure collaboration traces, handoffs, information use, and robustness to unfamiliar or unreliable teammates. A central tension is that added agents and communication can improve coverage and verification but also increase cost, propagate errors, suppress useful disagreement, or create coordination bottlenecks.

Latest papers

CardsList

320 papers63 papers in the last four weeks, up 142% on the four weeks before. 0.4% of all new papers.

  1. Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration

    Apr 18, 2026Sukwon Yun, Jie Peng, Pingzhi Li +5LLM Agent OrchestrationMulti-Agent Collaboration

  2. The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming

    Apr 17, 2026Tim Dorn, Saara A. Khan, Julie MumfordMulti-Agent CollaborationMulti-Agent Systems

  3. MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation

    Apr 17, 2026Yi Lin, Yihao Ding, Yonghui Wu +1Radiology Report GenerationMulti-Agent Collaboration

  4. Weak-Link Optimization for Multi-Agent Reasoning and Collaboration

    Apr 17, 2026Haoyu Bian, Chaoning Zhang, Jiaquan Zhang +4Multi-Agent CollaborationInference-Time Compute Allocation

  5. BOOKAGENT: Orchestrating Safety-Aware Visual Narratives via Multi-Agent Cognitive Calibration

    Apr 17, 2026Bo Gao, Chang Liu, Yuyang Miao +2Multimodal GroundingMulti-Agent Collaboration

  6. MARS2^2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation

    Apr 16, 2026Pengfei Li, Shijie Wang, Fangyuan Li +7RL for Code GenerationMulti-Agent Collaboration

  7. Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI

    Apr 14, 2026Tanmay Srivastava, Amartya Basu, Shubham Jain +1Privacy-Preserving Speech ProcessingConversational Agents

  8. PAINT: Partner-Agnostic Intent-Aware Cooperative Transport with Legged Robots

    Apr 14, 2026Zhihao Cao, Tianxu An, Chenhao Li +2Multi-Agent CollaborationLegged Robotics

  9. How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm

    Apr 14, 2026Taisei Hishiki, Takaya Arita, Reiji SuzukiLarge Language Model-Based Social SimulationEmergent Behavior in Multi-Agent Systems

  10. Evaluating Cooperation in LLM Social Groups through Elected Leadership

    Apr 13, 2026Ryan Faulkner, Anushka Deshpande, David Guzman Piedrahita +2AI Agent GovernanceMulti-Agent Collaboration

  11. PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints

    Apr 13, 2026Minjun Park, Donghyun Kim, Hyeonjong Ju +5Multi-Agent CollaborationMulti-Agent Coordination

  12. TriDeliver: Cooperative Air-Ground Instant Delivery with UAVs, Couriers, and Crowdsourced Ground Vehicles

    Apr 10, 2026Junhui Gao, Yan Pan, Qianru Wang +4Multi-Agent Collaboration

  13. Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems

    Apr 10, 2026Keyu Li, Jin Gao, Dequan WangAlgorithmic BiasMulti-Agent Systems

  14. Beyond the Individual: Virtualizing Multi-Disciplinary Reasoning for Clinical Intake via Collaborative Agents

    Apr 10, 2026Huangwei Chen, Wu Li, Junhao Jia +7Clinical ReasoningClinical Decision-Making

  15. More Capable, Less Cooperative? When LLMs Fail At Zero-Cost Collaboration

    Apr 9, 2026Advait Yadav, Sid Black, Oliver SourbutMulti-Agent CoordinationMulti-Agent Collaboration

  16. Leaderless Collective Motion in Affine Formation Control over the Complex Plane

    Apr 7, 2026Jesus Bautista, Enric Morella, Lili Wang +1Multi-Robot Formation ControlMulti-Agent Collaboration

  17. EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering

    Apr 6, 2026Jiatan Huang, Zheyuan Zhang, Kaiwen Shi +2LLM Agent RoutingMulti-Agent Collaboration

  18. Single-agent vs. Multi-agents for Automated Video Analysis of On-Screen Collaborative Learning Behaviors

    Apr 4, 2026Likai Peng, Shihui FengVision-Language ModelsMulti-Agent Collaboration

  19. HCP-MAD:Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate

    Apr 3, 2026Yiqing Liu, Hantao Yao, Wu Liu +2Multi-Agent DebateMulti-Agent Reasoning

  20. Improving Role Consistency in Multi-Agent Collaboration via Quantitative Role Clarity

    Apr 3, 2026Guoling Zhou, Wenpei Han, Fengqin Yang +3Behavioral Consistency of LLM AgentsLLM Agents

  21. XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis

    Apr 3, 2026Shawn Young, Lijian XuChest X-Ray ClassificationMulti-Agent Reasoning

  22. Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent Systems

    Apr 3, 2026Vira Kasprova, Amruta Parulekar, Abdulrahman AlRabah +5LLM SycophancyMulti-Agent Collaboration

  23. Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges

    Apr 2, 2026Srivaths Ranganathan, Abhishek Dharmaratnakar, Anushree Sinha +1Recommender SystemsMulti-Agent Collaboration

  24. CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

    Apr 2, 2026Ao Qu, Han Zheng, Zijian Zhou +14Large Language Model-Guided OptimizationMulti-Agent Collaboration