Exploring the role of large language models in the scientific method: from hypothesis to discovery
8月 5, 2025·
,,,,,,,,,,,,·
0 分钟阅读时长
Yanbo Zhang
Sumeer A. Khan
Adnan Mahmud
Huck Yang
Alexander Lavin
Michael Levin
Jeremy Frey
Jared Dunnmon
James Evans
Alan Bundy
Saso Dzeroski
Jesper Tegner
Hector Zenil

摘要
We review how Large Language Models (LLMs) are redefining the scientific method and explore their potential applications across different stages of the scientific cycle, from hypothesis testing to discovery. We conclude that, for LLMs to serve as relevant and effective creative engines and productivity enhancers, their deep integration into all steps of the scientific process should be pursued in collaboration and alignment with human scientific goals, with clear evaluation metrics.
类型
出版物
npj Artificial Intelligence