LM4OPT: Unveiling the potential of Large Language Models in formulating mathematical optimization problems

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Infor Pub Date : 2024-08-21 DOI:10.1080/03155986.2024.2388452

Tasnim Ahmed, Salimur Choudhury

引用次数: 0

Abstract

In the fast-paced domain of natural language processing, converting linguistic descriptions into mathematical optimization problems is a complex task, requiring profound comprehension and processin...

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LM4OPT：挖掘大型语言模型在数学优化问题中的潜力

在快速发展的自然语言处理领域，将语言描述转换为数学优化问题是一项复杂的任务，需要深刻的理解和处理能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.

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