Fine-tuning Large Language Models for Chemical Text Mining
Work
Year: 2024
Type: article
Abstract: Extracting knowledge from complex and diverse chemical texts is a pivotal task for both experimental and computational chemists. The task is still considered to be extremely challenging due to the com... more
Source: Chemical Science
Institutions Shanghai Institute of Materia Medica, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Nanjing University of Chinese Medicine, Zhejiang Lab +4 more
Cites: 27
Cited by: 11
Related to: 10
FWCI: 6.863
Citation percentile (by year/subfield): 100
Subfield: Molecular Biology
Domain: Life Sciences
Sustainable Development Goal Quality education
Open Access status: diamond
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Key Research and Development Program of China
Grant IDS 82204278, T2225002, 82273855, 2022YFC3400504