Large language models for causal hypothesis generation in science

Towards the goal of understanding the causal structure underlying complex systems—such as the Earth, the climate, or the brain—integrating Large language models (LLMs) with data-driven and domain-expertise-driven approaches has the potential to become a game-changer, especially in data and expertise...

詳細記述

書誌詳細

出版年:	Machine Learning: Science and Technology
主要な著者:	Kai-Hendrik Cohrs, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls
フォーマット:	論文
言語:	英語
出版事項:	IOP Publishing 2025-01-01
主題:	causality large language models hypothesis generation science causal discovery
オンライン･アクセス:	https://doi.org/10.1088/2632-2153/ada47f