AI Agent

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)

Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models

Siqiao Xue, Danrui Qi, Caigao Jiang, Wenhui Shi, Fangyin Cheng, Keting Chen, Hongjun Yang, Zhiping Zhang, Jianshan He, Hongyang Zhang, Ganglin Wei, Wang Zhao, Fan Zhou, Hong Yi, Shaodong Liu, Hongjun Yang, Faqiang Chen

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

The Foundations of Computational Management: A Systematic Approach to Task Automation for the Integration of Artificial Intelligence into Existing Workflows

Tamen Jadad-Garcia, Alejandro R. Jadad

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

Comments 29 pages, 3 appendices

Whom to Trust? Elective Learning for Distributed Gaussian Process Regression

Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab

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

Comments 9 pages, conference preprint

How the level sampling process impacts zero-shot generalisation in deep reinforcement learning

Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht

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

Comments Currently under review, 9 pages

Automated Bioinformatics Analysis via AutoBA

Juexiao Zhou, Bin Zhang, Xiuying Chen, Haoyang Li, Xiaopeng Xu, Siyuan Chen, Xin Gao

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

Exploring MLOps Dynamics: An Experimental Analysis in a Real-World Machine Learning Project

Awadelrahman M. A. Ahmed

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

Comments 9 figures

Sensitivity Analysis of High-Dimensional Models with Correlated Inputs

Juraj Kardos, Wouter Edeling, Diana Suleimenova, Derek Groen, Olaf Schenk

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

Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering

Francesco Salvetti, Simone Angarano, Mauro Martini, Simone Cerrato, Marcello Chiaberge

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

Comments Accepted at ECML PKDD 2022

Journal ref Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Lecture Notes in Computer Science(), vol 13718, Springer

Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories

Aastha Acharya, Rebecca Russell, Nisar R. Ahmed

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

Comments Accepted to ICRA 2023