Large Language Models as Analogical Reasoners

arXiv:2310.01714v3 Announce Type: replace
Abstract: Chain-of-thought (CoT) prompting for language models demonstrates impressive performance across reasoning tasks, but typically needs labeled exemplars of the reasoning process. In this work, we introduce a new prompting approach, analogical prompting, designed to automatically guide the reasoning process of large language models. Inspired by analogical reasoning, a cognitive process in which humans draw from relevant past experiences to tackle new problems, our approach prompts language models to self-generate relevant exemplars or knowledge in the …

abstract arxiv cognitive cs.lg guide language language models large language large language models performance process prompting reasoning tasks thought type work