AI Agent

Automated Network Protocol Testing with LLM Agents

Yunze Wei, Kaiwen Wei, Shibo Du, Jianyu Wang, Zhangzhong Liu, Yawen Wang, Zhanyou Li, Congcong Miao, Xiaohui Xie, Yong Cui

机构 * Tsinghua University（清华大学） ； Beijing Xinertel Technology Co., Ltd.（北京新ertel技术有限公司） ； Tencent（腾讯） 纠错

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

Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design

Junhua Liu, Fanfan Lin, Xinze Li, Kwan Hui Lim, Shuai Zhao

专题命中 工作流自动化 ：agent(abstract)；autonomous agent(abstract)；planning(abstract)；分类 cs.AI

Comments Accepted to AAAI 2026 Innovative Applications of AI

Comparing Open-Source and Commercial LLMs for Domain-Specific Analysis and Reporting: Software Engineering Challenges and Design Trade-offs

Theo Koraag, Niklas Wagner, Felix Dobslaw, Lucas Gren

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

A Whole New World: Creating a Parallel-Poisoned Web Only AI-Agents Can See

Shaked Zychlinski

机构 * JFrog 纠错

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

Comments 10 pages, 1 figure

CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents

Qingbin Zeng, Ruotong Zhao, Jinzhu Mao, Haoyang Li, Fengli Xu, Yong Li

机构 * Department of Electronic Engineering, Tsinghua University（清华大学电子工程系） ； Department of Sociology, Hong Kong Baptist University（香港 Baptist 大学社会学系） 纠错

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

Comments Typos corrected

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents

Yao Fehlis

机构 * Artificial, Inc.（Artificial公司） 纠错

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

Get Experience from Practice: LLM Agents with Record & Replay

Erhu Feng, Wenbo Zhou, Zibin Liu, Le Chen, Yunpeng Dong, Cheng Zhang, Yisheng Zhao, Dong Du, Zhichao Hua, Yubin Xia, Haibo Chen

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

WorkTeam: Constructing Workflows from Natural Language with Multi-Agents

Hanchao Liu, Rongjun Li, Weimin Xiong, Ziyu Zhou, Wei Peng

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

Comments Accepted in NAACL 2025 Industry Track

Can AI Assist in Olympiad Coding

Samuel Ren

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

Comments 7 pages, 4 figures

Saarthi: The First AI Formal Verification Engineer

Aman Kumar, Deepak Narayan Gadde, Keerthan Kopparam Radhakrishna, Djones Lettnin

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

Comments Published at the DVCon U.S. 2025

Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents

Antony Seabra, Claudio Cavalcante, Joao Nepomuceno, Lucas Lago, Nicolaas Ruberg, Sergio Lifschitz

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

Comments KDIR 2024 - Knowledge Discovery and Information Retrieval

LLM Agents as 6G Orchestrator: A Paradigm for Task-Oriented Physical-Layer Automation

Zhuoran Xiao, Chenhui Ye, Yunbo Hu, Honggang Yuan, Yihang Huang, Yijia Feng, Liyu Cai, Jiang Chang

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

S-Agents: Self-organizing Agents in Open-ended Environments

Jiaqi Chen, Yuxian Jiang, Jiachen Lu, Li Zhang

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

Comments ICLR 2024 Workshop on Large Language Model (LLM) Agents

OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation

Zilong Wang, Yuedong Cui, Li Zhong, Zimin Zhang, Da Yin, Bill Yuchen Lin, Jingbo Shang

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

Comments Preprint

ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development

Kristen M. Edwards, Binyang Song, Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed

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

Comments 14 pages, 11 figures, to be published in the proceedings of IDETC-CIE 2023

A Conversational Digital Assistant for Intelligent Process Automation

Yara Rizk, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, Rania Khalaf

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

Comments International Conference on Business Process Management 2020 RPA Forum

A Unified Conversational Assistant Framework for Business Process Automation

Yara Rizk, Abhishek Bhandwalder, Scott Boag, Tathagata Chakraborti, Vatche Isahagian, Yasaman Khazaeni, Falk Pollock, Merve Unuvar

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

AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation

Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby

专题命中 工作流自动化 ：AI agent(abstract,comments)；agent(abstract)；分类 cs.AI、cs.CL、cs.LG

Comments To appear in AI Magazine (AAAI), 2023. This draft is an extended and revised version of the previous work - "Self-initiated Open World Learning for Autonomous AI Agents" arXiv preprint arXiv:2110.11385 (2021), which was published in AAAI 2022 Spring Symposium Series

PolicyKG: An Agentic LLM Pipeline for Translating Institutional Policies into SHACL Knowledge Graphs

PolicyKG：一种用于将机构政策转换为SHACL知识图谱的智能体大语言模型流水线

Ponkrit Kaewsawee, Chaklam Silpasuwanchai, Chutiporn Anutariya

机构 * Asian Institute of Technology（亚洲理工学院） 纠错

专题命中 工作流自动化 ：agentic(title)；分类 cs.AI、cs.CL

AI总结 本研究提出PolicyKG流水线，可自动将机构政策转换为SHACL知识图谱，在AIT语料库上取得高分类准确率，适配新领域仅需替换注册表，解决了人工转换的效率问题。

Comments 23 pages, 3 figures, 4 tables. Under review at IJCKG 2026, Bangkok, Thailand

Faithful, Not Corrective: Message-Format Effects in Multi-Hop Agent Relays Are Tier-Dependent

忠实而非纠正：多跳智能体中继中的消息格式效应取决于层级

Zayx Shawn

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

AI总结 研究多跳智能体中继中消息格式效应，引入可控测试平台，发现格式效应取决于层级，强中继近乎无损，弱中继下跨格式差异增大，配对分叉注入中错误值保留情况与真实值保留匹配，结构提供错误定位通道，格式选择应依最弱中继。

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials

InvDesFlow-AL: 基于主动学习的反向设计功能材料工作流程

Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Hao Sun, Zhong-Yi Lu

机构 * School of Physics, Renmin University of China（中国人民大学物理学院） ； Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院） ； School of Engineering Science, University of Chinese Academy of Sciences（中国科学院大学工程科学学院） 纠错

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

AI总结 本研究提出了一种基于主动学习的反向设计功能材料框架InvDesFlow-AL，通过迭代优化材料生成过程，提高性能特征的准确性，并在低形成能和低Ehull材料设计中取得显著成果，成功发现超导材料Li₂AuH₆。

Comments 29 pages, 11 figures

Journal ref npj Computational Materials 11, 364 (2025)

Many AI Analysts, One Dataset: Navigating the Agentic Data Science Multiverse

众多AI分析师，一个数据集：导航代理数据科学多宇宙

Martin Bertran, Riccardo Fogliato, Zhiwei Steven Wu

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

AI总结 本研究展示基于LLM的AI分析师能生成多样化的分析结果，揭示了自动化经验科学中的透明性挑战。

SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models

SpeechIQ: 大型语言模型在语音理解中的跨认知层级语音智能商

Zhen Wan, Chao-Han Huck Yang, Yahan Yu, Jinchuan Tian, Sheng Li, Ke Hu, Zhehuai Chen, Shinji Watanabe, Fei Cheng, Chenhui Chu, Sadao Kurohashi

机构 * Kyoto University（京都大学） ； NVIDIA ； Carnegie Mellon University（卡内基梅隆大学） ； Institute of Science Tokyo（东京科学研究院） 纠错

专题命中 工作流自动化 ：agentic(title)；分类 cs.AI、cs.CL

AI总结 SpeechIQ是一种基于语音的智能评估框架，通过三个认知层级评估大型语言模型在语音理解中的能力，提供统一的比较和识别标注错误与幻觉。

Comments ACL 2025 main. Our Speech-IQ leaderboard is hosted at huggingface.co/spaces/nvidia/Speech-IQ-leaderboard. Speech-IQ Calculator: https://github.com/YukinoWan/SpeechIQ

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up

Sakhinana Sagar Srinivas, Shivam Gupta, Venkataramana Runkana

机构 * Tata Research Development（塔塔研究发展） ； Design Center, Bangalore（设计中心，班加罗尔） 纠错

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

Making Software FAIR: A machine-assisted workflow for the research software lifecycle

Petr Knoth, Laurent Romary, Patrice Lopez, Roberto Di Cosmo, Pavel Smrz, Tomasz Umerle, Melissa Harrison, Alain Monteil, Matteo Cancellieri, David Pride

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

Comments 5 pages

RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models

Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu

专题命中 工作流自动化 ：agent(title)；分类 cs.AI、cs.CL

From Words to Worlds: Transforming One-line Prompt into Immersive Multi-modal Digital Stories with Communicative LLM Agent

Samuel S. Sohn, Danrui Li, Sen Zhang, Che-Jui Chang, Mubbasir Kapadia

专题命中 工作流自动化 ：agent(title)；分类 cs.AI、cs.CL

Comments 16 pages, 13 figures

Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications

Negar Arabzadeh, Julia Kiseleva, Qingyun Wu, Chi Wang, Ahmed Awadallah, Victor Dibia, Adam Fourney, Charles Clarke

专题命中 工作流自动化 ：agent(title)；分类 cs.AI、cs.CL

Artificial Intelligence in archival and historical scholarship workflow: HTS and ChatGPT

Salvatore Spina

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

Comments 12 pages, 9 figures

Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI

Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian

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

Comments 5 pages, 5 figures