This repository aggregates academic papers on using large language models and foundation models for combinatorial optimization tasks. It covers two main areas: applying existing LLMs to generate or improve optimization solutions, and building domain-specific foundation models for CO problems. The list includes papers from venues like NeurIPS and arXiv covering applications such as supply chain optimization, graph problem solving, and hyper-heuristic algorithm generation.