quchangle1/LLM-Tool-Survey

This is a curated collection of research papers focused on how Large Language Models (LLMs) can be enhanced by learning to use external tools. It categorizes existing literature by 'why' tool learning is beneficial and 'how' it is implemented, including task planning, tool selection, tool calling, and response generation. The target audience is researchers and developers working on LLMs who want to understand and implement advanced LLM capabilities.

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