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

Bhavya Bhavya, Jinjun Xiong, ChengXiang Zhai


Anthology ID:
2022.inlg-main.25
Volume:
Proceedings of the 15th International Conference on Natural Language Generation
Month:
July
Year:
2022
Address:
Waterville, Maine, USA and virtual meeting
Editors:
Samira Shaikh, Thiago Ferreira, Amanda Stent
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
298–312
Language:
URL:
https://aclanthology.org/2022.inlg-main.25
DOI:
10.18653/v1/2022.inlg-main.25
Bibkey:
Cite (ACL):
Bhavya Bhavya, Jinjun Xiong, and ChengXiang Zhai. 2022. Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT. In Proceedings of the 15th International Conference on Natural Language Generation, pages 298–312, Waterville, Maine, USA and virtual meeting. Association for Computational Linguistics.
Cite (Informal):
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT (Bhavya et al., INLG 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-3/2022.inlg-main.25.pdf