Fine-tuning large language models for chemical text mining

Chem. Sci., 2024, 15,10600-10611DOI: 10.1039/D4SC00924J, Edge Article Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Wei Zhang, Qinggong Wang, Xiangtai Kong, Jiacheng Xiong, Shengkun Ni, Duanhua Cao, Buying Niu, Mingan Chen, Yameng Li, Runze Zhang, Yitian Wang, Lehan Zhang, Xutong Li, Zhaoping Xiong, Qian Shi, Ziming Huang, Zunyun Fu, Mingyue ZhengExtracting knowledge from complex chemical texts is essential for both experimental and computational chemists. Fine-tuned large language models (LLMs) can serve as flexible and effective extractors for automated data acquisition.The content of this RSS Feed (c) The Royal Society of Chemistry