cs.AI updates on arXiv.org 07月08日 12:33
Large Language Models for Combinatorial Optimization: A Systematic Review
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本文通过系统综述LLMs在组合优化领域的应用,基于PRISMA指南,对超过2000篇文献进行筛选和分析,最终选取103篇研究,分类讨论LLMs在CO中的任务、架构、评估数据集及应用方向。

arXiv:2507.03637v1 Announce Type: new Abstract: This systematic review explores the application of Large Language Models (LLMs) in Combinatorial Optimization (CO). We report our findings using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We conduct a literature search via Scopus and Google Scholar, examining over 2,000 publications. We assess publications against four inclusion and four exclusion criteria related to their language, research focus, publication year, and type. Eventually, we select 103 studies. We classify these studies into semantic categories and topics to provide a comprehensive overview of the field, including the tasks performed by LLMs, the architectures of LLMs, the existing datasets specifically designed for evaluating LLMs in CO, and the field of application. Finally, we identify future directions for leveraging LLMs in this field.

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LLMs 组合优化 系统综述 PRISMA指南 文献分析
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