Overview

Multi-agent reasoning examines how AI agents combine knowledge and perspectives to solve problems that may exceed one agent’s abilities, including mathematical and scientific question answering, games, robotics, and clinical decisions. Common approaches include role-specialized agents, chain-of-thought debate and critique, voting or mixture-of-agents aggregation, and learned routing that decides who should contribute and when. Other work trains collaboration with reinforcement learning or distills group reasoning into a single model, while benchmarks test coordination under partial information and strategic interaction. A central tension is that collaboration can correct individual errors, but communication costs, correlated mistakes, and pressure to conform can erase its gains; when it helps depends on the task, evidence quality, and compute budget.

Latest papers

CardsList

233 papers29 papers in the last four weeks, up 142% on the four weeks before. 0.2% of all new papers.

  1. ForecastAgentSearch: Towards a Multi-Expert Agent Search System for Geopolitical Event Forecasting

    Jun 30, 2026Miaomiao Cai, He Chang, Yunshan Ma +1Multi-Agent Reasoning

  2. Investigating Multi-Agent Deliberation in Law

    Jun 29, 2026Cor Steging, Ludi van Leeuwen, Tadeusz ZbiegieńMulti-Agent SystemsMulti-Agent Reasoning

  3. Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning

    Jun 28, 2026Dayong Liang, Kaisong Gong, Yi Cai +2Multi-Agent DebateMixture-of-Experts Models

  4. Preventing Error Propagation in Multi-Agent AI through Runtime Monitoring

    Jun 27, 2026Shahnewaz Karim Sakib, Anindya Bijoy DasAI Agent ReliabilityMulti-Agent Systems

  5. Multi-Agent Goal Recognition with Team- and Goal-Conditioned Reinforcement Learning and Factorized Branch-and-Bound

    Jun 24, 2026Thiago Thomas, Gabriel de Oliveira Ramos, Felipe MeneguzziBranch and BoundMulti-Agent Systems

  6. ReM-MoA: Reasoning Memory Sustains Mixture-of-Agents Scaling

    Jun 23, 2026Heng Ping, Arijit Bhattacharjee, Peiyu Zhang +5Multi-Agent System OptimizationLLM Agent Memory

  7. SIGMA: Skill-Incidence Graphs for Compositional Multi-Agent Design

    Jun 18, 2026Kun Zeng, Yu Huo, Siyu Zhang +5Multi-Agent System OptimizationMulti-Agent Systems

  8. Hidden Anchors in Multi-Agent LLM Deliberation

    Jun 17, 2026Apurba Pokharel, Ram DantuOpinion DynamicsMulti-Agent Debate

  9. Enhancing Decision-Making with Large Language Models through Multi-Agent Fictitious Play

    Jun 17, 2026Leyang Shen, Yang Zhang, Xiaoyan Zhao +2Multi-Agent LLM SystemsLLM Decision-Making

  10. Let Large Language Models Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question Answering

    Jun 13, 2026Zaifu Zhan, Shuang Zhou, Rui ZhangMulti-Agent LLM SystemsLLM Answer Verification

  11. ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model Reasoning

    Jun 11, 2026Fuqiang Niu, Bowen ZhangMulti-Agent DebateMulti-Agent Consensus

  12. MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning

    Jun 10, 2026Shang Ma, Jisheng Dang, Wencan Zhang +6Multi-Agent ReasoningSocial Reasoning

  13. Multi-Agent Reasoning with Adaptive Worker Allocation for Stance Detection

    Jun 10, 2026Meysam Sabbaghan, Arman Zareian Jahromi, Doina CarageaStance DetectionMulti-Agent Reasoning

  14. MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning

    Jun 10, 2026Abdelrahman Abdallah, AbdelRahim A. Elmadany, Sameh Al Natour +3Table QALLM Answer Verification

  15. Visual Para-Thinker++: A Single-Policy Multi-Agent Framework for Visual Reasoning

    Jun 8, 2026Haoran Xu, Hongyu Wang, Yifei Gao +4Object Hallucination in VLMsMulti-Agent Collaboration

  16. MAGIS: Evidence-Based Multi-Agent Reasoning for Interpretable Strabismus Clinical Decision-Making

    Jun 8, 2026Xikai Tang, Yifan Wang, Jiafan Zhuang +12Medical DiagnosisMedical VLMs

  17. MARDoc: A Memory-Aware Refinement Agent Framework for Multimodal Long Document QA

    Jun 4, 2026Kaifeng Chen, Hongtao Liu, Qiyao Peng +4Multimodal RAGMultimodal QA

  18. Critic-Guided Heterogeneous Multi-Agent Reasoning for Reliable Mathematical Problem Solving

    Jun 4, 2026Muhammad Talha Sharif, Abdul RehmanLLM Self-CorrectionMulti-Agent Reasoning

  19. Streaming Communication in Multi-Agent Reasoning

    Jun 3, 2026Zhen Yang, Xiaogang Xu, Wen Wang +3Multi-Agent LLM SystemsMulti-Agent System Optimization

  20. Enhancing the MADDPG Algorithm for Multi-Agent Learning via Action Inference and Importance Sampling

    Jun 3, 2026Marc Walden, Jason Liu, Shaashwath Sivakumar +2Opponent ModelingImportance Sampling

  21. DeliChess: A Multi-party Dialogue Dataset for Deliberation in Chess Puzzle Solving

    Jun 3, 2026Xiaochen Zhu, Georgi Karadzhov, Tom Stafford +1Multi-Agent Reasoning

  22. Consensus is Strategically Insufficient: Reasoning-Trace Disagreement as a Knowledge-Representation Signal

    Jun 2, 2026Michał Wawer, Jarosław A. ChudziakMulti-Agent LLM SystemsMulti-Agent Reasoning

  23. TechRAG: Evidence-Gated Multimodal Agentic RAG for Technical Literature Reasoning

    Jun 1, 2026Kanwar Bharat SinghMultimodal RAGScientific QA

  24. Diagnosing Failure Modes of Shared-State Collaboration in Resource-Constrained Visual Agents

    May 29, 2026Yunpeng ZhouVisual Question AnsweringMulti-Agent Collaboration

  25. Generalized Intention Modeling in Multi-Agent Reinforcement Learning

    May 29, 2026Mateusz Odrowaz-Sypniewski, Jasmine Bayrooti, Ajay Shankar +1Opponent ModelingMulti-Agent Reasoning

  26. Can LLM Teams Play What? Where? When?

    May 28, 2026Anastasia Kotelnikova, Viktor Byzov, Maria Dolzhenkova +1Multi-Agent LLM SystemsLLM Agent Evaluation