AI Agent

Research on UAV Applications in Public Administration: Based on an Improved RRT Algorithm

Zhanxi Xie, Baili Lu, Yanzhao Gu, Zikun Li, Junhao Wei, Ngai Cheong

机构 * Faculty of Humanities and Social Sciences（人文与社会科学学院） ； College of Animal Science and Technology（动物科学与技术学院） ； Faculty of Applied Sciences（应用科学学院） ； School of Economics and Management（经济与管理学院） 纠错

专题命中 规划决策 ：planning(abstract)

3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation

Nikolaos Gkanatsios, Jiahe Xu, Matthew Bronars, Arsalan Mousavian, Tsung-Wei Ke, Katerina Fragkiadaki

机构 * Carnegie Mellon University（卡内基梅隆大学） ； NVIDIA（英伟达） ； National Taiwan University（国立台湾大学） 纠错

专题命中 规划决策 ：planning(abstract)

Comments Project page: https://3d-flowmatch-actor.github.io/

MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol Fuzzing

Youssef Maklad, Fares Wael, Ali Hamdi, Wael Elsersy, Khaled Shaban

机构 * Dept. of Computer Science, Qatar University, Doha, Qatar（计算机科学系，卡塔尔大学，多哈） 纠错

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

Energy-Efficient Routing Algorithm for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach

Parham Soltani, Mehrshad Eskandarpour, Amir Ahmadizad, Hossein Soleimani

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

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration

Peilin Ji, Xiao Xue, Simeng Wang, Wenhao Yan

机构 * College of Intelligence and Computing（智能与计算学院） 纠错

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

Comments 17 pages including appendix, 6 figures

Multi-agent Auditory Scene Analysis

Caleb Rascon, Luis Gato-Diaz, Eduardo García-Alarcón

机构 * M365 Core, Microsoft Corporation（微软公司） 纠错

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

Comments Submitted to Applied Soft Computing

Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalization

Zhitao He, Zijun Liu, Peng Li, Yi R. Fung, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

机构 * Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China（人工智能产业研究院（AIR），清华大学，北京，中国） ； Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua University, Beijing, China（计算机科学与技术系，人工智能研究院，清华大学，北京，中国） ； Hong Kong University of Science and Technology, Hong Kong, China（香港科技大学，香港，中国） ； Tongyi Lab, Alibaba Group（通义实验室，阿里巴巴集团） 纠错

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

Comments Published in COLM2025

An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents

Junjie Qi, Siqi Mao, Tianyi Tan

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

Adaptive Vision-Based Coverage Optimization in Mobile Wireless Sensor Networks: A Multi-Agent Deep Reinforcement Learning Approach

Parham Soltani, Mehrshad Eskandarpour, Sina Heidari, Farnaz Alizadeh, Hossein Soleimani

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

The Agent Behavior: Model, Governance and Challenges in the AI Digital Age

Qiang Zhang, Pei Yan, Yijia Xu, Chuanpo Fu, Yong Fang, Yang Liu

机构 * School of Cyber Science and Engineering, Sichuan University, China（计算机科学与工程学院，四川大学） ； College of Computing and Data Science, Nanyang Technological University, Sinapore（计算与数据科学学院，南洋理工大学） ； College of Electronics and Information Engineering, Shenzhen University, China（电子与信息工程学院，深圳大学） ； Department of Computer Science and Technology, Tsinghua University, China（计算机科学与技术系，清华大学） 纠错

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

Distributed Asynchronous Time-Varying Quadratic Programming with Asynchronous Objective Sampling

Gabriel Behrendt, Zachary I. Bell, Matthew Hale

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

Comments 35 pages, 4 figure, 1 table

Surrogate-guided optimization in quantum networks

Luise Prielinger, Álvaro G. Iñesta, Gayane Vardoyan

机构 * QuTech ； Delft University of Technolgy（代尔夫特理工大学） ； EEMCS ； University of Massachusetts（马萨诸塞大学） 纠错

专题命中 多智能体 ：workflow(abstract)；分类 cs.LG

Comments 20 pages (including supplementary notes), 12 figures

From Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning

Lixiang Yan

机构 * School of Education, Tsinghua University（清华大学教育学院） ； Centre for Learning Analytics, Monash University（墨尔本大学学习分析中心） 纠错

专题命中 工作流自动化 ：agentic(title,abstract)；AI agent(abstract)；分类 cs.AI

AI Agents for Photonic Integrated Circuit Design Automation

Ankita Sharma, YuQi Fu, Vahid Ansari, Rishabh Iyer, Fiona Kuang, Kashish Mistry, Raisa Islam Aishy, Sara Ahmad, Joaquin Matres, Dirk R. Englund, Joyce K. S. Poon

机构 * University of Toronto（多伦多大学） ； Max Planck Institute of Microstructure Physics（马克斯·普朗克微结构物理研究所） ； GDSFactory ； Research Laboratory of Electronics, Massachusetts Institute of Technology（麻省理工学院电子研究实验室） 纠错

专题命中 工作流自动化 ：AI agent(title)；agent(abstract)；multi-agent(abstract)；分类 cs.AI

Action Engine: Automatic Workflow Generation in FaaS

Akiharu Esashi, Pawissanutt Lertpongrujikorn, Shinji Kato, Mohsen Amini Salehi

机构 * University of North Texas (UNT)（北卡罗来纳州立大学） 纠错

专题命中 工作流自动化 ：workflow(title,abstract)；分类 cs.AI、cs.LG、cs.SE

Comments Published in the Future Generation Computer Systems (FGCS) journal; Source code is available at: https://github.com/hpcclab/action_engine

SynthGuard: Redefining Synthetic Data Generation with a Scalable and Privacy-Preserving Workflow Framework

Eduardo Brito, Mahmoud Shoush, Kristian Tamm, Paula Etti, Liina Kamm

专题命中 工作流自动化 ：workflow(title)

Comments This is the extended version of the paper to appear in the Proceedings of the 1st International Workshop on Responsible Data Governance, Privacy, and Digital Transformation (RDGPT 2025), held in conjunction with the 20th International Conference on Availability, Reliability and Security (ARES 2025)

Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning

Andrea Apicella, Francesco Isgrò, Roberto Prevete

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments Published on Artificial Intelligence Review journal. The paper is in Open Access available at https://link.springer.com/article/10.1007/s10462-025-11326-3

Journal ref Artificial Intelligence Review, 2025

Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users

Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski

机构 * University of Amsterdam, Netherlands（阿姆斯特丹大学） ； Google, USA（谷歌） ； Microsoft Research, Canada（微软研究院） ； University of Cambridge, United Kingdom（剑桥大学） 纠错

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments Accepted to ICML 2022 Workshop on Interpretable ML in Healthcare

Towards a DSL to Formalize Multimodal Requirements

Marcos Gomez-Vazquez, Jordi Cabot

专题命中 工作流自动化 ：agentic(abstract)；分类 cs.SE

Design and Evaluation of a Scalable Data Pipeline for AI-Driven Air Quality Monitoring in Low-Resource Settings

Richard Sserujongi, Daniel Ogenrwot, Nicholas Niwamanya, Noah Nsimbe, Martin Bbaale, Benjamin Ssempala, Noble Mutabazi, Raja Fidel Wabinyai, Deo Okure, Engineer Bainomugisha

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.SE

Comments 15 pages, 11 figures, 34th International Conference on Software Engineering and Data Engineering

Reinforcement learning entangling operations on spin qubits

Mohammad Abedi, Markus Schmitt

专题命中 工作流自动化 ：agent(abstract)

Comments 31 pages, 10 figures

A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models

Arianna Ceccarelli, Alexander P. Browning, Tai Chaiamarit, Ilan Davis, Ruth E. Baker

专题命中 工作流自动化 ：agent(abstract)

Comments 30 pages, 8 figures SI: 21 pages, 17 figures

Messengers: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily

Mohsen Raoufi, Heiko Hamann, Pawel Romanczuk

专题命中 工作流自动化 ：agent(abstract)

Comments This paper has been peer-reviewed and accepted for publication in Nature Portfolio Journal (NPJ) Complexity

Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving

Xinji Mai, Haotian Xu, Zhong-Zhi Li, Xing W, Weinong Wang, Jian Hu, Yingying Zhang, Wenqiang Zhang

机构 * Fudan University（复旦大学） ； Xiaohongshu（小红书） ； East China Normal University（华东师范大学） ； University of Chinese Academy of Sciences（中国科学院大学） 纠错

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

Incident Analysis for AI Agents

Carson Ezell, Xavier Roberts-Gaal, Alan Chan

专题命中 GUI与网页智能体 ：AI agent(title,abstract)；agent(abstract)；分类 cs.AI

Comments 16 pages (10 pages main text), 4 figures, 3 tables. To be published in the Proceedings of the 2025 AAAI/ACM Conference on AI, Ethics, & Society (AIES)

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Ziyang Luo, Zhiqi Shen, Wenzhuo Yang, Zirui Zhao, Prathyusha Jwalapuram, Amrita Saha, Doyen Sahoo, Silvio Savarese, Caiming Xiong, Junnan Li

机构 * Salesforce AI Research（Salesforce人工智能研究） 纠错

专题命中 GUI与网页智能体 ：agent(abstract)；分类 cs.AI、cs.CL

Comments Website: https://mcp-universe.github.io

Efficient Environment Design for Multi-Robot Navigation via Continuous Control

Jahid Chowdhury Choton, John Woods, William Hsu

专题命中 GUI与网页智能体 ：planning(abstract)

Comments 12 pages, 3 figures, conference

Deep Exploration with PAC-Bayes

Bahareh Tasdighi, Manuel Haussmann, Nicklas Werge, Yi-Shan Wu, Melih Kandemir

机构 * Department of Mathematics（数学系） ； Computer Science University of Southern Denmark（计算机科学大学） 纠错

专题命中 记忆与上下文管理 ：agent(abstract)；分类 cs.LG

Comments ECAI camera-ready version; fixed acknowledgements; fixed github reference

SurveyGen-I: Consistent Scientific Survey Generation with Evolving Plans and Memory-Guided Writing

Jing Chen, Zhiheng Yang, Yixian Shen, Jie Liu, Adam Belloum, Chrysa Papagainni, Paola Grosso

机构 * University of Amsterdam（阿姆斯特丹大学） ； Vrije Universiteit Amsterdam（阿姆斯特丹自由大学） 纠错

专题命中 记忆与上下文管理 ：planning(abstract)；分类 cs.CL

Comments The code is available at https://github.com/SurveyGens/SurveyGen-I , 20 pages, 16 figures

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows

Renan Souza, Amal Gueroudji, Stephen DeWitt, Daniel Rosendo, Tirthankar Ghosal, Robert Ross, Prasanna Balaprakash, Rafael Ferreira da Silva

专题命中 Agent评测 ：agent(title,abstract)；AI agent(title,abstract)；agentic(title,abstract)；workflow(abstract)

Comments Paper accepted for publication in the Proceedings of the 2025 IEEE 21st International Conference on e-Science. Cite it as: R. Souza, A. Gueroudji, S. DeWitt, D. Rosendo, T. Ghosal, R. Ross, P. Balaprakash, R. F. da Silva, "PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows," IEEE International Conference on e-Science, Chicago, IL, USA, 2025