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arXiv · 2305.16896

MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting

Tatsuro Inaba·Hirokazu Kiyomaru·Fei Cheng·Sadao Kurohashi
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Abstract

Large language models (LLMs) have achieved impressive performance on various reasoning tasks. To further improve the performance, we propose MultiTool-CoT, a novel framework that leverages chain-of-thought (CoT) prompting to incorporate multiple external tools, such as a calculator and a knowledge retriever, during the reasoning process. We apply MultiTool-CoT to the Task 2 dataset of NumGLUE, which requires both numerical reasoning and domain-specific knowledge. The experiments show that our method significantly outperforms strong baselines and achieves state-of-the-art performance.

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Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng, Sadao Kurohashi. 2023-05-26. MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting. https://arxiv.org/abs/2305.16896

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