AI Agent

Game-Theoretic Lens on LLM-based Multi-Agent Systems

基于博弈论的基于大语言模型的多智能体系统视角

Jianing Hao, Han Ding, Yuanjian Xu, Tianze Sun, Ran Chen, Wanbo Zhang, Guang Zhang, Siguang Li

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；autonomous agent(abstract)；planning(abstract)

AI总结 本文通过博弈论视角，系统综述了基于大语言模型的多智能体系统，构建了理解、比较和指导未来研究的框架。

Comments 9 pages, 5 figures

Socialized Learning and Emergent Behaviors in Multi-Agent Systems based on Multimodal Large Language Models

Sureyya Akin, Shruti T. Tiwari, Ram Bhattacharya, Sagar A. Raman, Kiran Mohanty, Sita Krishnan

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；AI agent(abstract)；planning(abstract)

Comments We have identified critical issues in the code implementation that severely deviate from Algorithm 1, invalidating all experimental results and conclusions. Despite exhaustive efforts to correct these issues, we find they fundamentally undermine the paper's core claims. To uphold academic integrity and prevent misinformation, we are withdrawing this manuscript

DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration

Narjes Nourzad, Hanqing Yang, Shiyu Chen, Carlee Joe-Wong

机构 * University of Southern California（南加州大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；分类 cs.AI、cs.CL、cs.LG

MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks

Yinghao Zhu, Ziyi He, Haoran Hu, Xiaochen Zheng, Xichen Zhang, Zixiang Wang, Junyi Gao, Liantao Ma, Lequan Yu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；workflow(abstract)；分类 cs.AI、cs.CL、cs.LG

Comments Accepted by NeurIPS 2025 Datasets & Benchmarks Track

When Machines Meet Each Other: Network Effects and the Strategic Role of History in Multi-Agent AI

Yu Liu, Wenwen Li, Yifan Dou, Guangnan Ye

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；autonomous agent(abstract)；agentic(abstract)

Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration

Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li

机构 * Tsinghua University（清华大学） ； Northwestern Polytechnical University（西北工业大学） ； Institute of Artificial Intelligence (TeleAI)（人工智能研究所） ； China Telecom（中国电信） ； Zhejiang University（浙江大学） ； Shenzhen Research Institute of Northwestern Polytechnical University（西北工业大学深圳研究院） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；分类 cs.AI、cs.CL、cs.LG

Comments accepted by ACL'2025

Can Agents Judge Systematic Reviews Like Humans? Evaluating SLRs with LLM-based Multi-Agent System

Abdullah Mushtaq, Muhammad Rafay Naeem, Ibrahim Ghaznavi, Alaa Abd-alrazaq, Aliya Tabassum, Junaid Qadir

机构 * Department of Computer Science（计算机科学系） ； Information Technology University（信息技术大学） ； AI Center for Precision Health（精准健康人工智能中心） ； Weill Cornell Medicine–Qatar（韦尔·科恩医学中心–卡塔尔） ； Computer Science and Engineering Department（计算机科学与工程系） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；agentic(abstract)；分类 cs.AI、cs.CL、cs.LG

Towards Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven Approach

Minfeng Qi, Tianqing Zhu, Lefeng Zhang, Ningran Li, Wanlei Zhou

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；autonomous agent(abstract)；planning(abstract)

Comments 17 pages, 7 figures

RED.AI Id-Pattern: First Results of Stone Deterioration Patterns with Multi-Agent Systems

Daniele Corradetti, José Delgado Rodrigues

机构 * STAP Reabilitação Estrutural, SA（STAP结构修复有限公司） ； Grupo de Fisica Matematica, Instituto Superior Tecnico（数学物理小组，技术高级学院） ； Consultant in Conservation of Cultural Heritage（文化遗产保护顾问） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；AI agent(abstract)；agentic(abstract)

Comments 11 pages, 1 figure, 1 table. Contribution for REEACH 2025 Symposium

FlowForge: Guiding the Creation of Multi-agent Workflows with Design Space Visualization as a Thinking Scaffold

Pan Hao, Dongyeop Kang, Nicholas Hinds, Qianwen Wang

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；workflow(abstract)

Comments 9 pages, 10 figures, accepted by IEEE VIS 2025

CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education

Jianing Zhao, Peng Gao, Jiannong Cao, Zhiyuan Wen, Chen Chen, Jianing Yin, Ruosong Yang, Bo Yuan

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；tool use(abstract)；planning(abstract)

Comments 4 pages, 4 figures. Demo video available at: https://youtu.be/9iIVmTT4CVk

CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation

Zhendong Mi, Renming Zheng, Haowen Zhong, Yue Sun, Seth Kneeland, Sayan Moitra, Ken Kutzer, Zhaozhuo Xu Shaoyi Huang

机构 * Stevens Institute of Technology（史蒂文斯理工学院） ； University of Washington（华盛顿大学） ； Amazon（亚马逊） ； SambaNova Systems（SambaNova系统） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；agentic(abstract)；分类 cs.AI、cs.LG、cs.SE

CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom Dialogues

Disha Sheshanarayana, Tanishka Magar, Ayushi Mittal, Neelam Chaplot

机构 * Manipal University Jaipur（Manipal大学贾ipur） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；agentic(abstract)；分类 cs.AI、cs.CL、cs.LG

Comments Accepted to SICon 2025 ACL

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development

Rennai Qiu, Chen Qian, Ran Li, Yufan Dang, Weize Chen, Cheng Yang, Yingli Zhang, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun

机构 * Tsinghua University（清华大学） ； Shanghai Jiao Tong University（上海交通大学） ； Beijing University of Posts and Telecommunications（北京邮电大学） ； Siemens（西门子） ； Tencent Robotics X（腾讯机器人院） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；autonomous agent(abstract)；分类 cs.AI、cs.CL、cs.SE

Comments Work in Progress

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies

Shubham Gandhi, Dhruv Shah, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；分类 cs.AI、cs.CL、cs.SE

Journal ref AI4Research Workshop @ AAAI 2025

Multi-agent Application System in Office Collaboration Scenarios

Songtao Sun, Jingyi Li, Yuanfei Dong, Haoguang Liu, Chenxin Xu, Fuyang Li, Qiang Liu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；分类 cs.AI、cs.CL、cs.SE

Comments Technical report

MuMA-ToM: Multi-modal Multi-Agent Theory of Mind

Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；分类 cs.AI、cs.CL、cs.LG

Comments AAAI-25 (Oral). Project website: https://scai.cs.jhu.edu/projects/MuMA-ToM/ Code: https://github.com/SCAI-JHU/MuMA-ToM

IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems

Elad Levi, Ilan Kadar

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；分类 cs.AI、cs.CL、cs.LG

Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps

Kannan Parthasarathy, Karthik Vaidhyanathan, Rudra Dhar, Venkat Krishnamachari, Basil Muhammed, Adyansh Kakran, Sreemaee Akshathala, Shrikara Arun, Sumant Dubey, Mohan Veerubhotla, Amey Karan

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；agentic(abstract)；分类 cs.AI、cs.LG、cs.SE

Comments The paper has been accepted as full paper to CAIN 2025 (https://conf.researchr.org/home/cain-2025), co-located with ICSE 2025 (https://conf.researchr.org/home/icse-2025). The paper was submitted to CAIN for review on 9 November 2024

BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks

Shubham Gandhi, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；分类 cs.AI、cs.CL、cs.LG

Comments Presented at AIMLSystems '24

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects

Abdullah Mushtaq, Muhammad Rafay Naeem, Ibrahim Ghaznavi, Muhammad Imran Taj, Imran Hashmi, Junaid Qadir

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；分类 cs.AI、cs.CL、cs.LG

From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems

Leixian Shen, Haotian Li, Yun Wang, Huamin Qu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；autonomous agent(abstract)；workflow(abstract)

Comments 6 pages, 2 figures, IEEE VIS 2024 Gen4DS Workshop

MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge

Bo Ni, Markus J. Buehler

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title)；AI agent(abstract)；planning(abstract)

HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding

Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn, Jinkyoo Park

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；autonomous agent(abstract,comments)；分类 cs.AI、cs.LG

Comments Accepted as Extended Abstract in Proc. of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)

TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play

Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen, Wei-Wei Tu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments The 22nd International Conference on Autonomous Agents and Multiagent Systems(AAMAS2023)

Agentic AI-based Framework for Mitigating Premature Diagnostic Handoff and Silent Hallucination in Healthcare Applications

基于Agentic AI的框架：缓解医疗应用中的过早诊断交接和无声幻觉

Divyansh Srivastava, Shreya Ghosh, Anshul Verma, Rajkumar Buyya

机构 * Distributed Systems (qCLOUDS) Lab, School of Computing ； Information Systems, The University of Melbourne, Australia ； 2Department of Computer Science ； Engineering, School of Electrical ； Computer Sciences (SECS), Indian Institute of Technology Bhubaneswar, India ； 3Department of Computer Science Banaras Hindu University, Varanasi, India 纠错

专题命中 多智能体 ：agentic(title,title_cn)；agent(abstract)；multi-agent(abstract)；分类 cs.AI

AI总结 提出多智能体框架，通过确定性编排约束和两个安全机制（神经符号状态跟踪门和语义熵不确定性量化门）解决LLM在医疗对话中的过早诊断交接和无声幻觉问题，诊断精度提升11.3个百分点。

The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale

智能体互联网：大规模通信、协调与集体智能

Quanyan Zhu

机构 * Department of Electrical and Computer Engineering（电气与计算机工程系） ； NYU Center for Cybersecurity（纽约大学网络安全中心） ； NYU Tandon School of Engineering（纽约大学坦顿工程学院） ； New York University（纽约大学） 纠错

专题命中 多智能体 ：agentic(title,abstract)；agent(abstract)；AI agent(abstract)；autonomous agent(abstract)

AI总结 本文提出智能体互联网（IoAI）愿景，构建异构智能体在云、边缘、设备等环境中发现、协商、通信与协作的开放生态系统，并探讨其架构、机制及关键研究挑战。

Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA

Fanar-Sadiq：一种用于基于经典伊斯兰问答的多智能体架构

Ummar Abbas, Mourad Ouzzani, Mohamed Y. Eltabakh, Omar Sinan, Gagan Bhatia, Hamdy Mubarak, Majd Hawasly, Mohammed Qusay Hashim, Kareem Darwish, Firoj Alam

机构 * Qatar Computing Research Institute（卡塔尔计算研究所） ； HBKU（哈马德本·卡尔白大学） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；agentic(abstract)；分类 cs.CL

AI总结 针对大语言模型在伊斯兰问答中易产生幻觉和错误归因的问题，提出基于多智能体工具增强架构的Fanar-Sadiq系统，通过意图感知路由、检索增强教法回答、精确经文引用和确定性计算器，在公开基准上实现高效准确的伊斯兰问答。

Comments Islamic QA; Religious NLP; Retrieval-Augmented Generation; Multi-Agent LLMs; Tool-Augmented Reasoning; Faithful Generation; Fiqh Reasoning

Seeing is Believing? Evaluating Vision-Language Model Susceptibility in Agent-to-Agent Multimodal Persuasion

见多识广？评估面向Agent-to-Agent多模态说服的视觉语言模型易受性

Haoyi Qiu, Yilun Zhou, Pranav Narayanan Venkit, Kung-Hsiang Huang, Jiaxin Zhang, Nanyun Peng, Chien-Sheng Wu

机构 * University of California, Los Angeles（加州大学洛杉矶分校） ； Salesforce AI Research（Salesforce AI研究） 纠错

专题命中 多智能体 ：agent(title,title_cn)；autonomous agent(abstract)；multi-agent(abstract)；分类 cs.CL

AI总结 本文研究了在多智能体多模态说服场景中，视觉语言模型对多模态内容的易受性，提出了MMPersuade框架和数据集，通过实验揭示了多模态输入在说服中的优势，以及说服对象的领域和格式依赖性，以及心理策略在不同上下文和模型架构下的效果差异。

A message-passing algorithm for multi-agent trajectory planning

多智能体轨迹规划的消息传递算法

Jose Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan Yedidia

专题命中 多智能体 ：planning(title,abstract)；agent(title)；multi-agent(title)；分类 cs.AI

AI总结 本文提出基于改进交替方向乘子法的新型算法，用于计算多智能体的无碰撞全局轨迹，具有自然并行化和易整合不同成本函数的优点。

Comments In Advances in Neural Information Processing Systems (NIPS), 2013. Demo video available at http://www.youtube.com/watch?v=yuGCkVT8Bew