Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

1 code implementation • 9 Oct 2022 • Bhavya Bhavya, JinJun Xiong, ChengXiang Zhai

We propose a novel application of prompting Pre-trained Language Models (PLMs) to generate analogies and study how to design effective prompts for two task settings: generating a source concept analogous to a given target concept (aka Analogous Concept Generation or ACG), and generating an explanation of the similarity between a given pair of target concept and source concept (aka Analogous Explanation Generation or AEG).

Explanation Generation