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Can Large Language Models Solve Complex Engineering Issues? Practical Applications in Reliability Systems Engineering
DOI:10.1016/j.eng.2025.07.037.png)
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En
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11.6
论文数:
2.8K
被引数:
1.5W
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Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM frameworkMostajabdaveh M, Yu TT, Ramamonjison R, Carenini G, Zhou Z, Zhang Y. 基于多智能体多阶段LLM框架从问题规范进行优化建模与验证。INFOR Inf Syst Oper Res 2024;62(4):599–617.
On the use of large language models in model-driven engineeringDi Rocco J, Di Ruscio D, Di Sipio C, Nguyen PT, Rubei R. 关于在模型驱动工程中使用大型语言模型。Soft Syst Model 2025;24(3):923–48.
Zhai Y, Yang T, Xu K, Feng D, Yang C, Ding B, et al. Enhancing decision-making for LLM agents via step-level Q-value models. Proc Conf AAAI Artif Intell 2025;39(25):27161–9.翟宇、杨涛、徐可、冯东、杨晨、丁博等。通过分层Q值模型增强LLM代理的决策能力。人工智能协会会议论文集2025;39(25):27161–9。
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
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Large Language Model Empowered by Domain-Specific Knowledge Base for Industrial Equipment Operation and Maintenance王 H, 李 YF. 面向工业设备运维的领域知识库赋能大语言模型. 见: 2023 5th International Conference on System Reliability and Safety Engineering (SRSE) 会议论文集; 2023年10月20–23日; 北京, 中国. Piscataway: IEEE; 2023. 第474–479页.
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