AI Agent

From AutoRecSys to AutoRecLab: A Call to Build, Evaluate, and Govern Autonomous Recommender-Systems Research Labs

Joeran Beel, Bela Gipp, Tobias Vente, Moritz Baumgart, Philipp Meister

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

DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding

Yue Jiang, Jichu Li, Yang Liu, Dingkang Yang, Feng Zhou, Quyu Kong

机构 * Fudan University（复旦大学） ； Center for Applied Statistics and School of Statistics, Renmin University of China（应用统计中心和中国人民大学统计学院） ； Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing（北京未来区块链与隐私计算高级创新中心） 纠错

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

Comments Accepted by Neural Information Processing Systems (NeurIPS 2025)

ProofOptimizer: Training Language Models to Simplify Proofs without Human Demonstrations

Alex Gu, Bartosz Piotrowski, Fabian Gloeckle, Kaiyu Yang, Aram H. Markosyan

机构 * Meta FAIR & MIT CSAIL（Meta FAIR 与 MIT CSAIL） ； Meta FAIR ； Meta FAIR & École des Ponts Paris（Meta FAIR 与 巴黎École des Ponts） 纠错

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

Comments 52 pages, 16 figures, website: http://proof-optimizer.github.io/

LLM-REVal: Can We Trust LLM Reviewers Yet?

Rui Li, Jia-Chen Gu, Po-Nien Kung, Heming Xia, Junfeng liu, Xiangwen Kong, Zhifang Sui, Nanyun Peng

机构 * Peking University（北京大学） ； University of California, Los Angeles（加州大学洛杉矶分校） ； The Hong Kong Polytechnic University（香港理工大学） ； StepFun AI 纠错

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

Medchain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence

Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Yihang SU, Kao-Jung Chang, Wenting Chen, Haoliang Li, Linlin Shen, Michael Lyu

机构 * The City University of Hong Kong（香港城市大学） ； Renmin University of China（中国人民大学） ； The Chinese University of Hong Kong（香港中文大学） ； Shenzhen University（深圳大学） ； National Yang Ming Chiao Tung University（阳明交通大学） ； Taipei Veterans General Hospital（台北荣民总医院） 纠错

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

Comments Accepted by NeurIPS25 Spotlight

HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation

Rosni Vasu, Peter Jansen, Pao Siangliulue, Cristina Sarasua, Abraham Bernstein, Peter Clark, Bhavana Dalvi Mishra

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

Comments 10 pages (main), 65 pages total

AI-Driven Self-Evolving Software: A Promising Path Toward Software Automation

Liyi Cai, Yijie Ren, Yitong Zhang, Jia Li

机构 * College of AI, Tsinghua University（清华大学人工智能学院） ； School of Computer Science, Peking University（北京大学计算机学院） ； School of Computer Science and Engineering, Beihang University（北航计算机科学与工程学院） 纠错

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

FedAgentBench: Towards Automating Real-world Federated Medical Image Analysis with Server-Client LLM Agents

Pramit Saha, Joshua Strong, Divyanshu Mishra, Cheng Ouyang, J. Alison Noble

机构 * Department of Engineering Science, University of Oxford（工程科学系，牛津大学） 纠错

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

Match Chat: Real Time Generative AI and Generative Computing for Tennis

Aaron Baughman, Gozde Akay, Eduardo Morales, Rahul Agarwal, Preetika Srivastava

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

Comments 12 pages, 5 Figures, 4 Tables

Conformal Safety Shielding for Imperfect-Perception Agents

William Scarbro, Calum Imrie, Sinem Getir Yaman, Kavan Fatehi, Corina S. Pasareanu, Radu Calinescu, Ravi Mangal

机构 * Colorado State University, USA（科罗拉多州立大学） ； University of York, UK（约克大学） ； Carnegie Mellon University, USA（卡内基梅隆大学） 纠错

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

Comments 32 pages; Equal contribution by W. Scarbro and C. Imrie; Accepted at 25th International Conference on Runtime Verification, 2025 (RV25)

From Intention To Implementation: Automating Biomedical Research via LLMs

Yi Luo, Linghang Shi, Yihao Li, Aobo Zhuang, Yeyun Gong, Ling Liu, Chen Lin

机构 * School of Informatics, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen（信息学院、医学数据科学国家研究院、厦门大学、厦门） ； School of Medicine, Xiamen University, Xiamen（医学院、厦门大学、厦门） ； Microsoft Research Asia, Beijing（微软亚洲研究院、北京） ； College of Computing, Georgia Institute of Technology, Atlanta（计算学院、佐治亚理工学院、亚特兰大） ； Zhongguancun Academy, Beijing（中关村学院、北京） 纠错

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

Comments To appear in SCIENCE CHINA Information Sciences. If you find our work useful, please cite us as: @article{ BioResearcher, author = "Yi Luo and Linghang Shi and Yihao Li and Aobo Zhuang and Yeyun Gong and Ling Liu and Chen Lin", title = "From Intention To Implementation: Automating Biomedical Research via LLMs", journal = "SCIENCE CHINA Information Sciences", year = "2025" }

Journal ref SCIENCE CHINA Information Science, 2025, 68(7): 78-95

From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation

Peter Pfeiffer, Alexander Rombach, Maxim Majlatow, Nijat Mehdiyev

机构 * German Research Center for Artificial Intelligence (DFKI) and Saarland University（德国人工智能研究中心（DFKI）和萨尔兰州大学） 纠错

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

Comments Accepted to the Next Gen Data and Process Management: Large Language Models and Beyond workshop at SIGMOD 2025

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing

Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah

机构 * Department of Electrical & Computer Engineering, Clemson University（电气与计算机工程系，克莱姆森大学） 纠错

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

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents

Taro Yano, Yoichi Ishibashi, Masafumi Oyamada

机构 * NEC Corporation（日本电报电话株式会社） 纠错

专题命中 工作流自动化 ：agent(abstract)；tool-use(abstract)；分类 cs.AI、cs.CL

AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research

Renqi Chen, Haoyang Su, Shixiang Tang, Zhenfei Yin, Qi Wu, Hui Li, Ye Sun, Nanqing Dong, Wanli Ouyang, Philip Torr

机构 * Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； Department of Engineering Science, University of Oxford（牛津大学工程科学系） ； Shanghai Institute for Science of Science（上海科学科学研究院） ； School of Mathematics, Southeast University（东南大学数学学院） ； Shanghai Innovation Institute（上海创新研究院） ； Department of Information Engineering, Chinese University of Hong Kong（香港中文大学信息工程系） 纠错

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

LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study

Nishath Rajiv Ranasinghe, Shawn M. Jones, Michal Kucer, Ayan Biswas, Daniel O'Malley, Alexander Buschmann Most, Selma Liliane Wanna, Ajay Sreekumar

机构 * Los Alamos National Laboratory（洛斯阿拉莫斯国家实验室） ； School of Information, University of Arizona（信息学院，亚利桑那大学） 纠错

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

Comments 12 pages, 7 figures, 2 tables

From Deep Learning to LLMs: A survey of AI in Quantitative Investment

Bokai Cao, Saizhuo Wang, Xinyi Lin, Xiaojun Wu, Haohan Zhang, Lionel M. Ni, Jian Guo

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

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu

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

Comments ICLR 2025 Oral

DeFine: A Decomposed and Fine-Grained Annotated Dataset for Long-form Article Generation

Ming Wang, Fang Wang, Minghao Hu, Li He, Haiyang Wang, Jun Zhang, Tianwei Yan, Li Li, Zhunchen Luo, Wei Luo, Xiaoying Bai, Guotong Geng

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

Target Return Optimizer for Multi-Game Decision Transformer

Kensuke Tatematsu, Akifumi Wachi

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

Comments 10 pages

CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation

Hamza Landolsi, Kais Letaief, Nizar Taghouti, Ines Abdeljaoued-Tej

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

Comments 14 pages, 5 Figures, 3 Tables

VISTA: Visual Integrated System for Tailored Automation in Math Problem Generation Using LLM

Jeongwoo Lee, Kwangsuk Park, Jihyeon Park

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

Comments Accepted at NeurIPS 2024 Workshop on Large Foundation Models for Educational Assessment (FM-Assess)

Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch

Malek Mechergui, Sarath Sreedharan

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

Validation of the Scientific Literature via Chemputation Augmented by Large Language Models

Sebastian Pagel, Michael Jirasek, Leroy Cronin

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

Comments 22 pages, 7 figures, 34 references

Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics

Malte Schneevogt, Karsten Binninger, Noah Klarmann

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

Comments 18 pages, 8 pages

Learning by Self-Explaining

Wolfgang Stammer, Felix Friedrich, David Steinmann, Manuel Brack, Hikaru Shindo, Kristian Kersting

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

Journal ref Transactions on Machine Learning Research 2024

Painful intelligence: What AI can tell us about human suffering

Aapo Hyvärinen

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

Comments Second Edition of this book with 258 pages

Multi-Robot System Architecture design in SysML and BPMN

Ahmed R. Sadik, Christian Goerick

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

Journal ref 2022 Advances in Science, Technology and Engineering Systems Journal (ASTESJ) - Special Issue on Multidisciplinary Sciences and Engineering

ML Updates for OpenStreetMap: Analysis of Research Gaps and Future Directions

Lasith Niroshan, James D. Carswell

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

Comments 21 pages, 10 figures

TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection

Long Cheng, Qihao Shao, Christine Zhao, Sheng Bi, Gina-Anne Levow

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

Comments Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (ACL 2024)