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Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT. (arXiv:2210.04186v2 [cs.CL] UPDATED)
Oct. 12, 2022, 1:18 a.m. | Bhavya Bhavya, Jinjun Xiong, Chengxiang Zhai
cs.CL updates on arXiv.org arxiv.org
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). We found that it is feasible to
prompt InstructGPT to generate meaningful analogies and the best …
analogy arxiv case case study instructgpt language language models large language models study
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