MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of
  Thought Prompting
Tatsuro Inaba Hirokazu Kiyomaru Fei Cheng Sadao Kurohashi
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.