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Hypothesis Generation with Large Language Models
Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava et al., 2024. Proceedings of the 1st Workshop on NLP for Science (NLP4Science).
Tests large language models as generators of hypotheses from labelled examples, starting from a few examples and refining the hypotheses step by step with a bandit-style reward.
What it's used for here
The inquiry-framework report cites it as an LLM hypothesis generator.
Cited by on this site 1 record
1 methods surveys
SRCFrameworks of inquiry
Cite it
Zhou, Y., Liu, H., Srivastava, T., Mei, H., & Tan, C. (2024). Hypothesis Generation with Large Language Models. Proceedings of the 1st Workshop on NLP for Science (NLP4Science). https://doi.org/10.18653/v1/2024.nlp4science-1.10
@article{zhou2024hypothesis,
author = {Zhou, Yangqiaoyu and Liu, Haokun and Srivastava, Tejes and Mei, Hongyuan and Tan, Chenhao},
title = {Hypothesis Generation with Large Language Models},
journal = {Proceedings of the 1st Workshop on NLP for Science (NLP4Science)},
year = {2024},
doi = {10.18653/v1/2024.nlp4science-1.10},
url = {https://doi.org/10.18653/v1/2024.nlp4science-1.10}
}TY - GEN TI - Hypothesis Generation with Large Language Models AU - Zhou, Yangqiaoyu AU - Liu, Haokun AU - Srivastava, Tejes AU - Mei, Hongyuan AU - Tan, Chenhao PY - 2024 JO - Proceedings of the 1st Workshop on NLP for Science (NLP4Science) DO - 10.18653/v1/2024.nlp4science-1.10 UR - https://doi.org/10.18653/v1/2024.nlp4science-1.10 ER -
Zhou, Yangqiaoyu et al.. “Hypothesis Generation with Large Language Models.” Proceedings of the 1st Workshop on NLP for Science (NLP4Science) (2024). https://doi.org/10.18653/v1/2024.nlp4science-1.10.