arXivDaily arXiv每日学术速递 周一至周五更新

AI 大模型

AI Agent

智能体、工具调用、规划、工作流、多智能体和自主任务执行。

共收录 14880 信号源:cs.AI, cs.CL, cs.LG, cs.SE

1. 多智能体 14880 篇

2512.18669 2025-12-23 cs.AI 89%

IntelliCode: A Multi-Agent LLM Tutoring System with Centralized Learner Modeling

IntelliCode:一个具有集中式学习者建模的多智能体LLM辅导系统

Jones David, Shreya Ghosh

机构 * School of Computer Science and Engineering, VIT-AP University(计算机科学与工程学院,VIT-AP大学) School of Electrical and Computer Sciences, Indian Institute of Technology Bhubaneswar(电气与计算机科学学院,印度理工学院布巴内斯瓦尔学院)

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

AI总结 IntelliCode通过集中式学习者建模和多智能体协作,实现透明且可靠的LLM辅导系统,提升学习效率和课程适应性。

Comments Submitted to EACL 2026 System Demonstrations Track. 6 pages (main content), 6 figures, includes appendices

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2512.16214 2025-12-23 cs.AI 89%

PDE-Agent: A toolchain-augmented multi-agent framework for PDE solving

PDE-Agent:一种增强工具链的多智能体框架用于PDE求解

Jianming Liu, Ren Zhu, Jian Xu, Kun Ding, Xu-Yao Zhang, Gaofeng Meng, Cheng-Lin Liu

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

AI总结 PDE-Agent通过增强工具链的多代理协作框架,实现从自然语言描述中自动化的PDE求解。

Comments Adding Affiliation Information on arXiv

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2509.23188 2025-12-16 cs.CL 89%

Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts

诊断、定位、对齐:一种用于在指令冲突下可靠LLM多智能体系统的全栈框架

Guancheng Wan, Leixin Sun, Longxu Dou, Zitong Shi, Fang Wu, Eric Hanchen Jiang, Wenke Huang, Guibin Zhang, Hejia Geng, Xiangru Tang, Zhenfei Yin, Yizhou Sun, Wei Wang

机构 * University of California, Los Angeles(加州大学洛杉矶分校) Sea AI Lab(Sea AI 实验室) Stanford University(斯坦福大学) University of Oxford(牛津大学) Yale University(耶鲁大学) NTU(南洋理工大学) NUS(新加坡国立大学) Boston University(波士顿大学)

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

AI总结 本文提出了一种全栈框架,通过诊断、定位和对齐三个阶段提升LLM多智能体系统在指令冲突下的可靠性。

Comments Upon further review, we realized that the version submitted to arXiv was not the final draft and omits crucial results and discussion. To avoid confusion and ensure the integrity of the record, we request withdrawal and will resubmit once the complete work is ready

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2511.18259 2025-12-10 cs.CL cs.MA 89%

DiscoVerse: Multi-Agent Pharmaceutical Co-Scientist for Traceable Drug Discovery and Reverse Translation

DiscoVerse:多智能体制药合作者用于可追溯的药物发现与逆向翻译

Xiaochen Zheng, Alvaro Serra, Ilya Schneider Chernov, Maddalena Marchesi, Eunice Musvasva, Tatyana Y. Doktorova

机构 * F. Hoffmann-La Roche Ltd.(Hoffmann-La Roche有限公司)

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

AI总结 DiscoVerse通过多智能体系统实现制药领域可追溯的药物发现与逆向翻译,结合人类参与和大规模数据验证,展示出高召回率和精准决策能力。

Comments 24 pages, 5 figures, 3 tables. Updated version: added three pharmaceutical industry use cases and revised text for clarity

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2503.07675 2025-12-03 cs.MA cs.AI cs.DC 89%

DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems

DynTaskMAS: 一种基于动态任务图的异步和并行LLM多智能体系统框架

Junwei Yu, Yepeng Ding, Hiroyuki Sato

机构 * The University of Tokyo(东京大学) Hiroshima University(广岛大学) National Institute of Informatics(国家信息研究所)

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

AI总结 DynTaskMAS通过动态任务图框架提升基于LLM的多智能体系统在异步并行任务处理中的效率与性能。

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2410.00081 2025-12-01 cs.MA cs.AI 89%

From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarks

从稳态到资源共享:生物和经济对齐的多目标多智能体网格世界基于AI安全基准

Roland Pihlakas

机构 * Independent researcher(独立研究者)

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

AI总结 本文提出生物和经济对齐的多目标多智能体网格世界基准,用于评估AI安全中的稳态、 diminishing returns、可持续性和资源共享等关键问题。

Comments 21 pages, 13 figures, 2 tables

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2511.21572 2025-11-27 cs.MA cs.AI 89%

BAMAS: Structuring Budget-Aware Multi-Agent Systems

BAMAS: 构建预算感知的多智能体系统

Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen

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

AI总结 BAMAS通过整数线性规划和强化学习构建预算感知的多智能体系统,有效降低部署成本的同时保持性能。

Comments Accepted by AAAI 2026 (oral paper)

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2511.20940 2025-11-27 cs.CL 89%

Chatty-KG: A Multi-Agent AI System for On-Demand Conversational Question Answering over Knowledge Graphs

Chatty-KG:一种用于基于知识图谱的按需对话问答的多智能体AI系统

Reham Omar, Abdelghny Orogat, Ibrahim Abdelaziz, Omij Mangukiya, Panos Kalnis, Essam Mansour

机构 * Concordia University(康科德大学) IBM Research(IBM研究院)

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

AI总结 Chatty-KG通过多智能体系统实现基于知识图谱的对话问答,结合RAG检索与结构化执行,提升多轮问答的准确性和效率。

Comments This paper is accepted to SIGMOD 2026

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2510.23053 2025-11-26 cs.LG cs.DC 89%

AirFed: A Federated Graph-Enhanced Multi-Agent Reinforcement Learning Framework for Multi-UAV Cooperative Mobile Edge Computing

AirFed: 一种基于联邦图增强的多智能体强化学习框架,用于多无人机协同移动边缘计算

Zhiyu Wang, Suman Raj, Rajkumar Buyya

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

AI总结 AirFed通过联邦图增强的多智能体强化学习框架,解决多无人机协同移动边缘计算中的轨迹规划、任务卸载和资源分配问题,实现高效知识共享和显著性能提升。

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2511.19368 2025-11-25 cs.LG cs.NI 89%

LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems

基于大语言模型的站稳意识专家示范的多智能体强化学习在移动系统中的应用

Tianyang Duan, Zongyuan Zhang, Zheng Lin, Songxiao Guo, Xiuxian Guan, Guangyu Wu, Zihan Fang, Haotian Meng, Xia Du, Ji-Zhe Zhou, Heming Cui, Jun Luo, Yue Gao

机构 * Division of Computer Science, The University of Hong Kong(计算机科学系,香港大学) Department of Electrical and Electronic Engineering, The University of Hong Kong(电气电子工程系,香港大学) Department of Computer Science and Technology, Peking University(计算机科学与技术系,北京大学) Department of Computer Science, City University of Hong Kong(计算机科学系,城市大学) China Unicom Digital Technology, China Unicom co.,Ltd(中国联合数字技术,中国联合有限公司) School of Computer and Information Engineering, Xiamen University of Technology(计算机与信息工程学院,厦门理工学院) School of Computer Science, Engineering Research Center of Machine Learning and Industry Intelligence, Sichuan University(计算机科学学院,机器学习与工业智能工程研究中心,四川大学) College of Computing and Data Science, Nanyang Technological University(计算与数据科学学院,南洋理工大学) Institute of Space Internet, Fudan University(空间互联网研究院,复旦大学) School of Computer Science, Fudan University(计算机科学学院,复旦大学)

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

AI总结 本文提出RELED框架,通过大语言模型驱动的专家示范与自主探索相结合,提升多智能体强化学习在移动系统中的性能和稳定性。

Comments 15 pages, 9 figures

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2511.18840 2025-11-25 cs.MA cs.AI 89%

Addressing Situated Teaching Needs: A Multi-Agent Framework for Automated Slide Adaptation

应对情境教学需求:一种多智能体框架用于自动幻灯片适应

Binglin Liu, Yucheng Wang, Zheyuan Zhang, Jiyuan Lu, Shen Yang, Daniel Zhang-Li, Huiqin Liu, Jifan Yu

机构 * Tsinghua University, Beijing, China(清华大学,北京,中国)

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

AI总结 本文提出一种多智能体框架,用于自动化教学幻灯片适应,通过教师访谈识别关键摩擦点,并在8门课程中验证了其有效性,达到0.89的F1分数。

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2511.18604 2025-11-25 cs.RO cs.AI cs.MA 89%

An Analysis of Constraint-Based Multi-Agent Pathfinding Algorithms

基于约束的多智能体路径寻找算法分析

Hannah Lee, James D. Motes, Marco Morales, Nancy M. Amato

机构 * Parasol Lab, School of Computer Science, University of Illinois at Urbana Champaign(帕索尔实验室,计算机科学学院,伊利诺伊大学厄巴纳-香槟分校) Department of Computer Science at Instituto Tecnológico Autónomo de México (ITAM)(墨西哥自治理工学院(ITAM)计算机科学系)

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

AI总结 本文分析了基于约束的多智能体路径寻找算法,探讨了保守型与激进型约束在不同场景下的性能差异,并提供了决策流程图以指导约束选择,同时强调了拓扑特征在多机器人运动规划中的重要性。

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2511.17906 2025-11-25 cs.HC cs.AI 89%

AnimAgents: Coordinating Multi-Stage Animation Pre-Production with Human-Multi-Agent Collaboration

AnimAgents: 协调多阶段动画前期制作的人机多智能体协作

Wen-Fan Wang, Chien-Ting Lu, Jin Ping Ng, Yi-Ting Chiu, Ting-Ying Lee, Miaosen Wang, Bing-Yu Chen, Xiang 'Anthony' Chen

机构 * National Taiwan University(国立台湾大学) Google DeepMind(谷歌DeepMind) HCI Research, UCLA(人机交互研究, UCLA)

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

AI总结 AnimAgents通过人机多智能体协作系统,协调多阶段动画前期制作流程,提升协调性、一致性和信息管理效率。

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2511.17654 2025-11-25 cs.MA cs.AI 89%

Dialogue Diplomats: An End-to-End Multi-Agent Reinforcement Learning System for Automated Conflict Resolution and Consensus Building

对话外交官:一种端到端的多智能体强化学习系统,用于自动化冲突解决与共识构建

Deepak Bolleddu

机构 * School of Computing and Engineering(计算与工程学院) College of Engineering(工程学院) University of Wollongong(沃灵顿大学)

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

AI总结 Dialogue Diplomats通过端到端多智能体强化学习框架,结合分层共识网络、渐进谈判协议和上下文感知奖励机制,实现复杂环境中的自动化冲突解决与共识构建。

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2511.16916 2025-11-24 cs.AI 89%

Hybrid Differential Reward: Combining Temporal Difference and Action Gradients for Efficient Multi-Agent Reinforcement Learning in Cooperative Driving

混合差分奖励:结合时序差分和动作梯度用于高效合作驾驶多智能体强化学习

Ye Han, Lijun Zhang, Dejian Meng, Zhuang Zhang

机构 * School of Automotive Studies, Tongji University(交通学院)

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

AI总结 本文提出混合差分奖励机制,结合时序差分和动作梯度,提升多智能体协同驾驶的收敛速度和策略稳定性。

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2511.15997 2025-11-21 cs.AI cs.MM 89%

Sensorium Arc: AI Agent System for Oceanic Data Exploration and Interactive Eco-Art

Sensorium Arc:面向海洋数据探索与交互生态艺术的AI代理系统

Noah Bissell, Ethan Paley, Joshua Harrison, Juliano Calil, Myungin Lee

机构 * Immersive Media Design University of Maryland College Park(沉浸媒体设计大学马里兰大学学院公园分校) Center for the Study of the Force Majeure University of California, Santa Cruz(重大研究机构加州大学圣克鲁兹分校) Virtual Planet Technologies(虚拟星球技术)

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

AI总结 Sensorium Arc通过AI代理将海洋数据转化为生动叙事,结合科学洞察与生态诗意,实现沉浸式环境数据探索与交互生态艺术

Comments (to appear) NeurIPS 2025 Creative AI Track

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2511.09087 2025-11-19 cs.NI cs.AI 89%

Tele-LLM-Hub: Building Context-Aware Multi-Agent LLM Systems for Telecom Networks

Pranshav Gajjar, Cong Shen, Vijay K Shah

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

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2511.12792 2025-11-18 cs.AI 89%

Multi-Agent Reinforcement Learning for Heterogeneous Satellite Cluster Resources Optimization

Mohamad A. Hady, Siyi Hu, Mahardhika Pratama, Zehong Cao, Ryszard Kowalczyk

机构 * STEM, University of South Australia(南澳大利亚大学STEM学院) School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), Curtin University(Curtin大学电气工程、计算与数学科学学院) Systems Research Institute,Polish Academy of Sciences(波兰科学院系统研究所)

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

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2505.05440 2025-11-18 cs.AI 89%

EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation

Biao Yi, Xavier Hu, Yurun Chen, Shengyu Zhang, Hongxia Yang, Fan Wu

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

Comments Accepted by AAAI 2026

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2511.11393 2025-11-17 cs.AI 89%

Robust and Efficient Communication in Multi-Agent Reinforcement Learning

Zejiao Liu, Yi Li, Jiali Wang, Junqi Tu, Yitian Hong, Fangfei Li, Yang Liu, Toshiharu Sugawara, Yang Tang

机构 * Department of Mathematics, East China University of Science and Technology(东华大学数学系) Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology(能源化工过程智能制造重点实验室,东华大学) Hangzhou School of Automation, Zhejiang Normal University(浙江师范大学杭州自动化学院) Department of Computer Science, Waseda University(早稻田大学计算机科学系)

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

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2511.10949 2025-11-17 cs.MA cs.AI 89%

Exposing Weak Links in Multi-Agent Systems under Adversarial Prompting

Nirmit Arora, Sathvik Joel, Ishan Kavathekar, Palak, Rohan Gandhi, Yash Pandya, Tanuja Ganu, Aditya Kanade, Akshay Nambi

机构 * Microsoft Research(微软研究院)

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

Comments 10 pages, 3 figures. Code available at https://github.com/microsoft/SafeAgents

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2508.03404 2025-11-17 cs.CV cs.AI 89%

Visual Document Understanding and Reasoning: A Multi-Agent Collaboration Framework with Agent-Wise Adaptive Test-Time Scaling

Xinlei Yu, Chengming Xu, Zhangquan Chen, Yudong Zhang, Shilin Lu, Cheng Yang, Jiangning Zhang, Shuicheng Yan, Xiaobin Hu

机构 * National University of Singapore(新加坡国立大学) Tencent Youtu Lab(腾讯优图实验室) Tsinghua University(清华大学) University of Science and Technology of China(中国科学技术大学) Nanyang Technological University(南洋理工大学) Zhejiang University(浙江大学) DeepWisdom(深智科技)

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

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2511.09804 2025-11-14 cs.AI 89%

SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations

Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang

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

Comments 32 pages, 14 figures, accepted into EAAI 2026

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2511.08217 2025-11-13 cs.AI 89%

MADD: Multi-Agent Drug Discovery Orchestra

Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova, Nina Gubina, Anastasia Vepreva, Rodion Golovinskii, Ilya Tonkii, Ivan Dubrovsky, Ivan Gurev, Dmitry Gilemkhanov, Denis Chistiakov, Timur A. Aliev, Ivan Poddiakov, Galina Zubkova, Ekaterina V. Skorb, Vladimir Vinogradov, Alexander Boukhanovsky, Nikolay Nikitin, Andrei Dmitrenko, Anna Kalyuzhnaya, Andrey Savchenko

机构 * ITMO University(ITMO大学) Sber AI Lab(Sber AI实验室) D ONE AG HSE University(高等经济大学)

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

Comments EMNLP2025 accepted paper, Findings 2025

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2511.03023 2025-11-06 cs.AI 89%

PublicAgent: Multi-Agent Design Principles From an LLM-Based Open Data Analysis Framework

Sina Montazeri, Yunhe Feng, Kewei Sha

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

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2506.15207 2025-11-06 cs.AI cs.MA cs.RO 89%

Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study

Mohamad A. Hady, Siyi Hu, Mahardhika Pratama, Jimmy Cao, Ryszard Kowalczyk

机构 * University of South Australia(南澳大利亚大学) Systems Research Institute, Polish Academy of Sciences(波兰科学院系统研究所)

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

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2510.25929 2025-10-31 cs.MA cs.AI 89%

Multi-Agent Reinforcement Learning for Market Making: Competition without Collusion

Ziyi Wang, Carmine Ventre, Maria Polukarov

机构 * King's College London(伦敦国王学院)

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

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2510.22626 2025-10-28 cs.AI 89%

SwiftSolve: A Self-Iterative, Complexity-Aware Multi-Agent Framework for Competitive Programming

Adhyayan Veer Singh, Aaron Shen, Brian Law, Ahmed Ismail, Jonas Rohweder, Sean O'Brien, Kevin Zhu

机构 * Algoverse Research(Algoverse研究机构) UC Berkeley(加州大学伯克利分校) TU Darmstadt(德意志图林根大学) Zuse School ELIZA(Zuse学校ELIZA)

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

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2510.21566 2025-10-28 cs.MA cs.CL 89%

ColorEcosystem: Powering Personalized, Standardized, and Trustworthy Agentic Service in massive-agent Ecosystem

Fangwen Wu, Zheng Wu, Jihong Wang, Yunku Chen, Ruiguang Pei, Heyuan Huang, Xin Liao, Xingyu Lou, Huarong Deng, Zhihui Fu, Weiwen Liu, Zhuosheng Zhang, Weinan Zhang, Jun Wang

机构 * Shanghai Jiao Tong University(上海交通大学) OPPO

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

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2406.09755 2025-10-27 cs.AI cs.RO 89%

Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning

Xiaojun Bi, Mingjie He, Yiwen Sun

机构 * College of Information and Engineering, Minzu University of China(中国民族大学信息与工程学院) Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China(教育部民族语言智能分析与安全治理重点实验室) Institute for Artificial Intelligence, Peking University(北京大学人工智能学院) Beijing Institute for General Artificial Intelligence (BIGAI)(北京通用人工智能研究院)

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

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