AI Agent

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

Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization

具有非单位整数边成本的多智能体路径规划：通过增强的基于冲突搜索和图离散化

Hongkai Fan, Qinjing Xie, Bo Ouyang, Yaonan Wang, Zhi Yan, Jiawen He, Zheng Fang

机构 * China Mobile Group Hunan Company Limited（中国移动通信集团湖南有限公司） 纠错

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

AI总结 本文提出MAPFZ，一种处理非单位整数边成本的多智能体路径规划变种，通过增强的基于冲突搜索框架和图离散化方法，提升了求解效率和现实准确性。

Comments 16 pages, 7 figures, submitted to cs.AI, Multi-Agent Systems, Pathfinding Optimization

Evolution of AI in Education: Agentic Workflows

人工智能在教育中的演变：代理工作流

Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif

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

AI总结 本研究探讨了AI代理在教育中的应用，提出多代理框架用于自动评分，并指出其在一致性上的优势及需进一步研究的可解释性问题。

Comments made the abstract more succinct, revised the methodology, added PRISMA flow chart, updated references

Thucy: An LLM-based Multi-Agent System for Claim Verification across Relational Databases

Thucy：基于LLM的多智能体系统，用于跨关系数据库的声明验证

Michael Theologitis, Dan Suciu

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

AI总结 Thucy是一种基于LLM的多智能体系统，能够跨关系数据库验证声明，并提供支持裁定的SQL查询，准确率达94.3%。

Comments Accepted at AAAI 2026 Workshop on LLM-based Multi-Agent Systems (LaMAS)