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

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