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 10469 信号源:cs.AI, cs.CL, cs.LG, cs.SE

1. 工作流自动化 10469 篇

2506.23260 2025-12-16 cs.CR cs.AI 85%

From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows

从提示注入到协议利用:LLM驱动的AI代理工作流中的威胁

Mohamed Amine Ferrag, Norbert Tihanyi, Djallel Hamouda, Leandros Maglaras, Abderrahmane Lakas, Merouane Debbah

机构 * Department of Computer and Network Engineering, College of Information Technology, United Arab Emirates University(阿联酋大学计算机与网络工程系) Technology Innovation Institute(技术创新研究所) Eötvös Loránd University(埃奥瓦大学) Department of Computer Science, Guelma University(古尔马大学计算机科学系) De Montfort University(德蒙福特大学) Khalifa University of Science and Technology(卡里玛科学技术大学)

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

AI总结 本文提出了一种统一的端到端威胁模型,系统分类了LLM代理生态系统中的三十多种攻击技术,涵盖输入操纵、模型妥协、系统和隐私攻击及协议漏洞,并提供缓解策略以设计安全的代理AI系统。

Comments The paper is published in ICT Express (Elsevier)

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2512.06006 2025-12-09 cs.CV cs.AI 85%

Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization

简单代理在生物医学影像工作流优化中胜过专家

Xuefei, Wang, Kai A. Horstmann, Ethan Lin, Jonathan Chen, Alexander R. Farhang, Sophia Stiles, Atharva Sehgal, Jonathan Light, David Van Valen, Yisong Yue, Jennifer J. Sun

机构 * Caltech(加州理工学院) Cornell(康奈尔大学) UT Austin(得克萨斯大学奥斯汀分校) Rensselaer Polytechnic Institute(罗切斯特理工学院)

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

AI总结 本文提出简单代理在生物医学影像工作流优化中优于专家,通过系统评估框架验证了代理设计的实用性。

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2511.20656 2025-11-27 cs.HC cs.AI 85%

Context-Aware Visual Prompting: Automating Geospatial Web Dashboards with Large Language Models and Agent Self-Validation for Decision Support

基于上下文的视觉提示:利用大语言模型和代理自我验证自动化地理空间网络看板

Haowen Xu, Jose Tupayachi, Xiao-Ying Yu

机构 * Computational Urban Sciences Group, Oak Ridge National Laboratory(计算城市科学组,橡树岭国家实验室) Materials Science and Technology Division, Oak Ridge National Laboratory(材料科学与技术 division,橡树岭国家实验室) Industrial and Systems Engineering, The University of Tennessee, Knoxville(工业与系统工程,田纳西大学, Knoxville)

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

AI总结 本文提出基于大语言模型和代理自我验证的地理空间看板自动化框架,通过上下文感知视觉提示提升风险分析和决策支持的可视化能力。

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2510.10675 2025-11-13 cs.AI 85%

Simpliflow: A Lightweight Open-Source Framework for Rapid Creation and Deployment of Generative Agentic AI Workflows

Deven Panchal

机构 * Georgia Institute of Technology(佐治亚理工学院)

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

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2511.05696 2025-11-11 cs.LG 85%

AI-assisted workflow enables rapid, high-fidelity breast cancer clinical trial eligibility prescreening

Jacob T. Rosenthal, Emma Hahesy, Sulov Chalise, Menglei Zhu, Mert R. Sabuncu, Lior Z. Braunstein, Anyi Li

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

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2507.08619 2025-11-04 cs.AI 85%

Agentic Large Language Models for Conceptual Systems Engineering and Design

Soheyl Massoudi, Mark Fuge

机构 * ETH Zurich(苏黎世联邦理工学院)

专题命中 工作流自动化 :agentic(title);agent(abstract);workflow(abstract);multi-agent(abstract)

Comments 32 pages, 4 figures

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2509.11507 2025-09-16 cs.AI 85%

MedicalOS: An LLM Agent based Operating System for Digital Healthcare

Jared Zhu, Junde Wu

机构 * University of Oxford(牛津大学)

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

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2509.08088 2025-09-11 cs.AI cs.MA 85%

EnvX: Agentize Everything with Agentic AI

Linyao Chen, Zimian Peng, Yingxuan Yang, Yikun Wang, Wenzheng Tom Tang, Hiroki H. Kobayashi, Weinan Zhang

机构 * EnvX Team(EnvX团队) Shanghai Innovation Institute(上海创新研究院) Shanghai Jiao Tong University(上海交通大学) The University of Tokyo(东京大学) Zhejiang University(浙江大学) Fudan University(复旦大学)

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

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2508.13915 2025-08-27 cs.AI 85%

Structured Agentic Workflows for Financial Time-Series Modeling with LLMs and Reflective Feedback

Yihao Ang, Yifan Bao, Lei Jiang, Jiajie Tao, Anthony K. H. Tung, Lukasz Szpruch, Hao Ni

机构 * National University of Singapore(新加坡国立大学) University College London(伦敦大学学院) University of Edinburgh(爱丁堡大学)

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

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2508.05660 2025-08-11 cs.IR cs.AI 85%

Open-Source Agentic Hybrid RAG Framework for Scientific Literature Review

Aditya Nagori, Ricardo Accorsi Casonatto, Ayush Gautam, Abhinav Manikantha Sai Cheruvu, Rishikesan Kamaleswaran

机构 * Department of Surgery, Department of Anesthesiology, Duke University School of Medicine Durham North Carolina United States Faculty of Technology, University of Brasilia Brasilia Federal District Brazil Indian Institute of Technology Goa Goa India Birla Institute of Technology \& Science Pilani Hyderabad India Department of Electrical Computer Engineering, Duke University Pratt School of Engineering Department of Surgery, Department of Anesthesiology, Duke University School of Medicine Durham North Carolina United States Department of Surgery, Department of Anesthesiology, Duke University School of Medicine Faculty of Technology, University of Brasilia Indian Institute of Technology Goa Birla Institute of Technology \& Science Pilani Computer Engineering, Duke University Pratt School of Engineering

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

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2507.07115 2025-07-11 cs.AI cs.MA cs.SY eess.SY 85%

Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation

Javal Vyas, Mehmet Mercangoz

机构 * Autonomous Industrial Systems Lab,Imperial College London(自主工业系统实验室,帝国理工学院伦敦)

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

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2506.05010 2025-06-06 cs.CL cs.CV 85%

ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development

Zhenran Xu, Xue Yang, Yiyu Wang, Qingli Hu, Zijiao Wu, Longyue Wang, Weihua Luo, Kaifu Zhang, Baotian Hu, Min Zhang

机构 * Alibaba International Digital Commerce(阿里巴巴国际数字商业集团) Harbin Institute of Technology (Shenzhen)(哈尔滨工业大学(深圳))

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

Comments ACL 2025 Demo. Github: https://github.com/AIDC-AI/ComfyUI-Copilot

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2504.04785 2025-04-08 cs.AI 85%

Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors

Fan Nie, Lan Feng, Haotian Ye, Weixin Liang, Pan Lu, Huaxiu Yao, Alexandre Alahi, James Zou

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

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2408.08571 2024-08-19 cs.MA cs.AI 85%

AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation

Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, Han van der Aa, Heiner Stuckenschmidt

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

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2403.15076 2024-03-25 q-bio.QM cs.AI q-bio.BM q-bio.SC 85%

Comprehensive Lipidomic Automation Workflow using Large Language Models

Connor Beveridge, Sanjay Iyer, Caitlin E. Randolph, Matthew Muhoberac, Palak Manchanda, Amy C. Clingenpeel, Shane Tichy, Gaurav Chopra

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

Comments 53 pages, 4 main figures, 23 Supporting figures, 10 Supporting Tables

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1709.04524 2017-09-15 cs.AI 85%

Workflow Complexity for Collaborative Interactions: Where are the Metrics? -- A Challenge

Kartik Talamadupula, Biplav Srivastava, Jeffrey O. Kephart

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

Comments 4 pages, 1 figure, 1 table Appeared in the ICAPS 2017 UISP Workshop

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2607.07052 2026-07-09 cs.SE cs.AI cs.DC cs.ET cs.MA 新提交 85%

Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production

渐进式结晶:将代理探索转化为生产中确定性、低成本的工作流程

Arun Malik

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

AI总结 研究针对IT运营中AI代理成本高问题,提出渐进式结晶方法,通过三阶段执行分类法及证据提升机制,将代理探索转化为低成本工作流程,在生产云网络AIOps系统上评估效果良好,提升确定性执行、降低成本并提高安全性。

Comments Conference-style paper; 10 pages (estimated from manuscript formatting if applicable); focuses on agentic AI, AIOps, workflow automation, deterministic execution, and LLM cost optimization

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2510.04023 2025-10-07 cs.AI cs.CL 85%

LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions

Mizanur Rahman, Amran Bhuiyan, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Ridwan Mahbub, Ahmed Masry, Shafiq Joty, Enamul Hoque

机构 * York University(约克大学) Vector Institute for AI(人工智能矢量研究所) Dialpad Inc.(Dialpad公司) Nanyang Technological University(南洋理工大学) Salesforce AI Research(Salesforce人工智能研究)

专题命中 工作流自动化 :agent(abstract);AI agent(abstract);tool use(abstract);planning(abstract)

Comments Survey paper; 45 data science agents; under review

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1703.08428 2017-03-27 cs.HC cs.AI cs.CL 85%

Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop

Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andrés Monroy-Hernández

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

Comments 10 pages

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2608.19861 2026-08-21 cs.AI cs.CL cs.LG 新提交 85%

PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents

PolicyGuide:从单一动作防护到合规LLM智能体的全流程引导

Seongjae Kang, Taehyung Yu, Sung Ju Hwang

机构 * KAIST(韩国科学技术院)

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

AI总结 PolicyGuide将领域政策编译为工作流图,通过主动验证器引导LLM智能体合规执行,在多领域提升了合规率,且工作流可跨模型迁移,攻击成功率低、程序性合规性强。

Comments 26 pages, 15 figures, including appendices

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2601.14735 2026-08-11 cs.DC 版本更新 85%

FAME: QoS-aware Async Service Orchestration for Agentic Workflows

为MCP启用的智能工作流优化FaaS平台

Haseeb Abdullah Kollorath, Vaibhav Jha, Varad Kulkarni, Vinay, Nikhil Reddy, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan

专题命中 工作流自动化 :agentic(title,abstract);agent(abstract);workflow(abstract)

AI总结 本文提出FAME架构,利用FaaS平台优化MCP启用的智能工作流,实现模块化组合和状态持久化,提升效率与成本效益。

Comments Extended version of paper to appear in the proceedings of the International Conference on Web Services (ICWS), 2026

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2608.06771 2026-08-10 physics.soc-ph 新提交 85%

Agentic Artificial Intelligence for Reproducible Human-in-the-Loop Environmental Health Research

用于可复现人在环环境健康研究的智能体式人工智能

Edmund Seto

专题命中 工作流自动化 :agentic(title,abstract);planning(abstract);workflow(abstract)

AI总结 本文提出人在环智能体框架,结合领域知识与编码素养,利用智能体式大语言模型生成R代码,通过美国超级基金场地案例验证其可提升环境健康研究结果的严谨性与可复现性。

Comments 41 pages, 3 figures

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2603.10161 2026-07-24 q-bio.GN 版本更新 85%

Omics Data Discovery Agents: Agent-Supported Retrieval, Reanalysis, and Synthesis of Published Omics Data

组学数据发现代理

Alexandre Hutton, Jesse G. Meyer

专题命中 工作流自动化 :agent(title,abstract);workflow(abstract);agentic(abstract)

AI总结 本文提出了一种基于代理的框架,通过自动化提取和处理组学数据,实现对生物医学文献的可执行查询和大规模数据重用。

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2606.28467 2026-06-30 cs.LG cs.AI cs.CL 85%

An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations

一种用于设备级能源异常检测和基于LLM的推荐建议的智能体AI流水线

Dihia Falouz, Aida Douaibia, Amine Bechar, Youssef Elmir, Abbes Amira, Adel Oulefki

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

AI总结 提出一种端到端智能体流水线,结合深度时间序列预测、变分异常检测和LLM推理,为办公建筑设备级能耗生成优先级排序的可操作维护建议。

Comments 07 pages, 01 figure, accepted for presentation at the IEEE International Conference on Communication, Computing, Networking, and Control in Cyber-Physical Systems (CCNCPS 2026)

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2606.24598 2026-06-24 cs.SE cs.AI cs.LG 新提交 85%

Toward Self-Evolution-Ready Workflow Harnesses: A Reversible Migration Path and Convertibility Taxonomy for Expert LLM Pipelines

面向自进化就绪工作流工具:专家大语言模型管道的可逆迁移路径与可转换性分类法

Yimo Lin, Zhen Zhang, Yibin Li

机构 * Yunyong Century (Beijing) Artificial Intelligence Technology Co., Ltd.(云涌世纪(北京)人工智能科技有限公司) Tsinghua University(清华大学)

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

AI总结 针对专家验证的“LLM+脚本”工作流静态、无法自适应的问题,提出一种基于绞杀者模式的可逆迁移路径,将遗留工作流重构为可组合、类型化、可审计的阶段,并引入三级可转换性分类法(A/B/C)作为路由阶段诊断工作流就绪状态。

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2606.15116 2026-06-16 cs.HC 新提交 85%

Graph of Trace: Visualizing Execution Traces of Scientific Agent

追踪图:科学智能体执行轨迹的可视化

Tianci Gao, Haoxuan Li, Jianhe Li, Tianxiang Zhao, Runze Shi, Weiran Wang, Zezhao Wu, Lu Mi

专题命中 工作流自动化 :agent(title,abstract);AI agent(abstract);workflow(abstract)

AI总结 提出一种监控与可视化框架,通过记录细粒度执行事件并组织为有向图,实时展示科学智能体的工作流结构,提升可解释性与人机协作效率。

Comments Accepted to ACL 2026 Demo Track

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2606.09422 2026-06-15 cond-mat.mtrl-sci 新提交 85%

A Robust Agentic Framework for Expert-Level Automation of Atomistic Simulations

用于原子模拟专家级自动化的鲁棒智能体框架

Yutack Park, Yeonwoo Chung, Jinmu You, Jisu Kim, Suyeon Ju, Seungwu Han

专题命中 工作流自动化 :agentic(title,abstract);agent(abstract);workflow(abstract)

AI总结 提出Paimon平台,通过抑制静默错误、支持外部科学智能体协作和自主复现文献方法,实现原子模拟全生命周期的连续自动化。

Comments added data availability

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2606.12916 2026-06-12 cs.AI cs.CL cs.LG 新提交 85%

MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback

MDForge:稀疏模拟器反馈下的智能分子动力学流水线设计

Zehong Wang, Yijun Ma, Connor R. Schmidt, Tianyi Ma, Weixiang Sun, Ziming Li, Xiaoguang Guo, Chuxu Zhang, Matthew J. Webber, Yanfang Ye

机构 * University of Notre Dame(圣母大学) University of Connecticut(康涅狄格大学)

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

AI总结 提出MDForge,利用LLM智能体通过多智能体辩论将稀疏奖励稠密化,自动设计分子动力学流水线,在SAMPL基准上达到专家水平,并发现新型高亲和力CB[7]结合剂。

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2606.08091 2026-06-09 cs.CV 新提交 85%

VideoWeaver: Evaluating and Evolving Skills for Agentic Long Video Generation

VideoWeaver: 评估与进化智能体长视频生成技能

Jianhui Wei, Jie Tan, Hengchuan Zhu, Xiaotian Zhang, Yan Zhang, Ziyi Chen, Daoan Zhang, Wei Xu, Zuozhu Liu

机构 * Zhejiang University(浙江大学) ByteDance(字节跳动)

专题命中 工作流自动化 :agentic(title);agent(abstract);tool use(abstract);workflow(abstract)

AI总结 提出VideoWeaver框架,让智能体自主组合基础技能生成视频,并设计智能体裁判评估过程与结果,通过技能进化算法提升生成质量。

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2606.04037 2026-06-05 cs.AI cs.LG cs.SE 85%

Toward Pre-Deployment Assurance for Enterprise AI Agents: Ontology-Grounded Simulation and Trust Certification

面向企业AI代理的部署前保障:基于本体的仿真与信任认证

Thanh Luong Tuan, Abhijit Sanyal

机构 * Golden Gate University(金门大学) Data, Digital & IT, Novartis Healthcare Pvt. Ltd.(数据、数字与IT,诺华健康护理私人有限公司)

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

AI总结 提出一种基于本体的验证框架,通过本体驱动的场景生成和信任证书,实现企业AI代理在部署前的自动化监管合规与安全认证。

Comments 26 pages, 3 figures. Companion to arXiv:2604.00555. Code and data: https://github.com/frank-luongt/faos-research/tree/main/RA-6

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