# Zhou 2024: Hypothesis Generation with Large Language Models

> Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava et al., 2024. 1 records on Mysteries Department cite it. The inquiry-framework report cites it as an LLM…

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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Zhou 2024

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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.

**Voynich Manuscript** Preprintdoi: **[10.18653/v1/2024.nlp4science-1.10](https://doi.org/10.18653/v1/2024.nlp4science-1.10)** Checked against the original0

## 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]

Frameworks of inquiry

SRC

## 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
```

[Read it free at doi.org](https://doi.org/10.18653/v1/2024.nlp4science-1.10)[PDF stored here · 23 pages](https://mysteriesdept.com/sources/SRC0D8MTRG6095Q/hypothesis-generation-with-large-language-models/pdf)

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**SRC** 0D8MTRG6095Q

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Preprint

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CC-BY-4.0

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