This repository collects and organizes research papers on tool learning with large language models. Tool learning is an approach for augmenting LLMs by enabling them to use external tools to solve complex problems. The papers are categorized according to the published survey paper, covering topics such as tool retrieval, tool use in agents, and autonomous agent systems built on LLMs.