Can ChatGPT be used to generate scientific hypotheses?

Yang Jeong Park, Daniel Kaplan, Zhichu Ren, Chia-Wei Hsu, Changhao Li +3 more
3/30/2023
cs.CL

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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.

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Cite this paper

@article{park2023chatgpt,
  title  = {Can ChatGPT be used to generate scientific hypotheses?},
  author = {Yang Jeong Park and Daniel Kaplan and Zhichu Ren and Chia-Wei Hsu and Changhao Li and Haowei Xu and Sipei Li and Ju Li},
  year   = {2023},
  eprint = {2304.12208},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.12208v1}
}

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