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Can ChatGPT be used to generate scientific hypotheses?

Authors :
Park, Yang Jeong
Kaplan, Daniel
Ren, Zhichu
Hsu, Chia-Wei
Li, Changhao
Xu, Haowei
Li, Sipei
Li, Ju
Publication Year :
2023

Abstract

We investigate whether large language models can perform the creative hypothesis generation that human researchers regularly do. While the error rate is high, generative AI seems to be able to effectively structure vast amounts of scientific knowledge and provide interesting and testable hypotheses. The future scientific enterprise may include synergistic efforts with a swarm of "hypothesis machines", challenged by automated experimentation and adversarial peer reviews.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2304.12208
Document Type :
Working Paper