quchangle1/LLM-Tool-Survey
A curated collection of academic papers on tool learning with large language models, organized as a comprehensive survey published in Frontiers of Computer Science.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is quchangle1/LLM-Tool-Survey?
- A curated collection of academic papers on tool learning with large language models, organized as a comprehensive survey published in Frontiers of Computer Science.
- Is LLM-Tool-Survey open source?
- Yes — quchangle1/LLM-Tool-Survey is an open-source project tracked on heatdrop.
- How popular is LLM-Tool-Survey?
- quchangle1/LLM-Tool-Survey has 485 stars on GitHub.
- Where can I find LLM-Tool-Survey?
- quchangle1/LLM-Tool-Survey is on GitHub at https://github.com/quchangle1/LLM-Tool-Survey.