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ToolLLM: Facilitating Large Language Models to Master 16000+ Real-World APIs

Computer Science

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-World APIs

Y. Qin, S. Liang, et al.

ToolLLM bridges the tool-use gap in open-source LLMs by introducing ToolBench — a ChatGPT-generated instruction-tuning dataset of 16,464 real-world RESTful APIs — along with a depth-first search decision-tree for richer reasoning, a neural API retriever, and the automatic evaluator ToolEval. This research, conducted by the authors listed in the <Authors> tag, produces ToolLLaMA with ChatGPT-comparable tool-use and strong zero-shot generalization.

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~3 min • Beginner • English
Citation Metrics
Citations
41
Influential Citations
158
Reference Count
65
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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