AI Agent

Sentinel Agents for Secure and Trustworthy Agentic AI in Multi-Agent Systems

Diego Gosmar, Deborah A. Dahl

机构 * Head of AI Tesisquare（Tesisquare人工智能负责人） ； Voiceinteroperability.ai Initiative Member（Voiceinteroperability.ai 创始成员） ； Linux Foundation AI & Data（Linux基金会人工智能与数据） ； AI & Data Torino, TO 10100, Italy（人工智能与数据Torino, TO 10100, Italy） ； Principal Conversational Technologies（对话技术首席专家） ； Plymouth Meeting, Pennsylvania, USA（美国宾夕法尼亚州Plymouth Meeting） 纠错

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

Comments 25 pages, 12 figures

(P)rior(D)yna(F)low: A Priori Dynamic Workflow Construction via Multi-Agent Collaboration

Yi Lin, Lujin Zhao, Yijie Shi

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

Beyond the high score: Prosocial ability profiles of multi-agent populations

Marko Tesic, Yue Zhao, Joel Z. Leibo, Rakshit S. Trivedi, Jose Hernandez-Orallo

机构 * University of Cambridge（剑桥大学） ； Northwestern Polytechnical University（西北工业大学） ； Google DeepMind（谷歌DeepMind） ； MIT（麻省理工学院） 纠错

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

The Sum Leaks More Than Its Parts: Compositional Privacy Risks and Mitigations in Multi-Agent Collaboration

Vaidehi Patil, Elias Stengel-Eskin, Mohit Bansal

机构 * UNC Chapel Hill（北卡罗来纳大学教堂山分校） ； The University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

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

Comments Code: https://github.com/Vaidehi99/MultiAgentPrivacy

METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling

Bingxuan Li, Yiwei Wang, Jiuxiang Gu, Kai-Wei Chang, Nanyun Peng

机构 * University of California, Los Angeles（加州大学洛杉矶分校） ； University of California, Merced（加州大学默塞德分校） ； Adobe Research（Adobe研究） 纠错

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

Comments ACL2025 Main

LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning

Tianyang Duan, Zongyuan Zhang, Songxiao Guo, Dong Huang, Yuanye Zhao, Zheng Lin, Zihan Fang, Dianxin Luan, Heming Cui, Yong Cui

机构 * Department of Computer Science, The University of Hong Kong（香港大学计算机科学系） ； Institute of Data Science, National University of Singapore（新加坡国立大学数据科学研究所） ； College of International Education, Hebei University of Economics and Business（河北经贸大学国际教育学院） ； Department of Electrical and Electronic Engineering, The University of Hong Kong（香港大学电子与电气工程系） ； Department of Computer Science, City University of Hong Kong（香港城市大学计算机科学系） ； Institute for Imaging, Data and Communications, University of Edinburgh（爱丁堡大学成像、数据与通讯研究所） ； Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） 纠错

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

Comments 5 pages, 4 figures

An LLM-based multi-agent framework for agile effort estimation

Thanh-Long Bui, Hoa Khanh Dam, Rashina Hoda

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

Comments Submitted to ASE'25

Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplifications and Resistance in Multi-Agent Based LLM-as-Judge

Chiyu Ma, Enpei Zhang, Yilun Zhao, Wenjun Liu, Yaning Jia, Peijun Qing, Lin Shi, Arman Cohan, Yujun Yan, Soroush Vosoughi

机构 * Dartmouth College（达特茅斯学院） ； Yale University（耶鲁大学） 纠错

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

Predicting Multi-Agent Specialization via Task Parallelizability

Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil Bramley, Christopher G. Lucas, Natalia Velez, Thomas L. Griffiths

机构 * Princeton University（普林斯顿大学） ； University of Edinburgh（爱丁堡大学） 纠错

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

Digital Twin-based Cooperative Autonomous Driving in Smart Intersections: A Multi-Agent Reinforcement Learning Approach

Taoyuan Yu, Kui Wang, Zongdian Li, Tao Yu, Kei Sakaguchi, Walid Saad

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

Reinforcement Learning Agent for a 2D Shooter Game

Thomas Ackermann, Moritz Spang, Hamza A. A. Gardi

机构 * Faculty for Mathematics（数学系） ； Department of Electrical Engineering and Information Technology（电气工程与信息科技系） ； IIIT at ETIT（ETIT的IIIT） 纠错

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

Large Language Models as AI Agents for Digital Atoms and Molecules: Catalyzing a New Era in Computational Biophysics

Yijie Xia, Xiaohan Lin, Zicheng Ma, Jinyuan Hu, Yanheng Li, Zhaoxin Xie, Hao Li, Li Yang, Zhiqiang Zhao, Lijiang Yang, Zhenyu Chen, Yi Qin Gao

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

Comments 26 pages, 3 figures, 2 tables

A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making

Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Yanyuan Qiao, Imran Razzak, Yutong Xie

机构 * Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)（莫扎德·本·扎耶德人工智能大学） ； University of Electronic Science and Technology of China（电子科学与技术大学） ； Swiss Federal Institute of Technology Lausanne (EPFL)（苏黎世联邦理工学院） 纠错

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

Comments The paper has been accepted to the EMNLP 2025 Main Conference

Gap-Dependent Bounds for Federated $Q$-learning

Haochen Zhang, Zhong Zheng, Lingzhou Xue

机构 * Department of Statistics, The Pennsylvania State University, University Park, PA 16802, USA（统计系，宾夕法尼亚州立大学，大学公园） 纠错

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