利用多代理多阶段 LLM 框架，从问题规格进行优化建模和验证

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Infor Pub Date : 2024-08-07 DOI:10.1080/03155986.2024.2381306

Mahdi Mostajabdaveh, Timothy T. Yu, Rindranirina Ramamonjison, Giuseppe Carenini, Zirui Zhou, Yong Zhang

引用次数: 0

摘要

本文探讨了大语言模型（LLM）在现实世界优化问题建模中的应用。我们具体定义了将自然语言描述转化为优化问题的任务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework

This paper explores the use of Large Language Models (LLMs) in modeling real-world optimization problems. We concretely define the task of translating natural language descriptions into optimizatio...

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来源期刊

Infor 管理科学-计算机：信息系统

CiteScore

2.60

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.