ChatGPT-like large language models for testing and verification of autonomous intelligent systems: a systematic review
可靠性科学与工程学报(英文)2026年2卷第2期 页码:1-24
作者机构:
Department of Industrial Engineering, Tsinghua University, 100084 Beijing, People's Republic of China
作者简介:
Dun Li received a PhD degree in computer science from Institut Polytechnique de Paris, France, in 2025. He is currently a Postdoctoral Researcher with the Department of Industrial Engineering, Tsinghua University, China. His research interests include large language models, Industrial Internet of Things, digital twin, and system reliability.
Ruiguan Lin received a PhD degree in engineering from Nanjing University of Aeronautics and Astronautics, China, in 2024. He is currently a Postdoctoral Researcher and Assistant Researcher with the Department of Industrial Engineering, Tsinghua University, China. His research interests include intelligent operation and maintenance of high-end equipment, reliability assessment and management for civil aviation systems, and maintenance decision-making for civil aircraft structures.
Zisheng Wang received a BS degree in Mechanical Engineering from Northeastern University, Shenyang, China, in 2018, and a PhD degree in Mechanical Engineering from Huazhong University of Science and Technology, Wuhan, China, in 2023. He is currently an Assistant Research Fellow with the Department of Industrial Engineering, Tsinghua University, China, supported by the Shuimu Tsinghua Scholar Talent Program. His research interests include intelligent monitoring and maintenance for high-end equipment and multimodal large language models.
Yan-Fu Li (Senior Member, IEEE) was a Faculty Member with the Laboratory of Industrial Engineering, CentraleSupélec, University of Paris-Saclay, Gif-sur-Yvette, France, from 2011 to 2016. He is currently a Professor with the Department of Industrial Engineering, Tsinghua University, Beijing, China. He has led or participated in several research projects supported by the European Union, France, and Chinese governmental funding agencies, as well as various industrial partners. He has authored or coauthored more than 100 publications in international journals, conference proceedings, and books. His research interests include reliability, availability, maintainability, and safety (RAMS) assessment and optimization for industrial systems. Dr. Li is an Associate Editor of IEEE Transactions on Reliability.
Dun Li, Ruiguan Lin, Zisheng Wang, et al. 用于自主智能系统测试与验证的类ChatGPT大语言模型:系统综述[J]. 可靠性科学与工程学报(英文), 2026, 2: 022001.
Dun Li, Ruiguan Lin, Zisheng Wang, et al. ChatGPT-like large language models for testing and verification of autonomous intelligent systems: a systematic review[J]. Journal of Reliability Science and Engineering, 2026, 2: 022001.
Dun Li, Ruiguan Lin, Zisheng Wang, et al. 用于自主智能系统测试与验证的类ChatGPT大语言模型:系统综述[J]. 可靠性科学与工程学报(英文), 2026, 2: 022001.DOI: 10.1088/3050-2454/ae524c.
Dun Li, Ruiguan Lin, Zisheng Wang, et al. ChatGPT-like large language models for testing and verification of autonomous intelligent systems: a systematic review[J]. Journal of Reliability Science and Engineering, 2026, 2: 022001.DOI: 10.1088/3050-2454/ae524c.