Rationalism in the face of GPT hypes: Benchmarking the output of large language models against human expert-curated biomedical knowledge graphs

Biomedical knowledge graphs (KGs) hold valuable information regarding biomedical entities such as genes, diseases, biological processes, and drugs. KGs have been successfully employed in challenging biomedical areas such as the identification of pathophysiology mechanisms or drug repurposing. The cr...

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Detalles Bibliográficos

Principais autores:	Negin Sadat Babaiha, Sathvik Guru Rao, Jürgen Klein, Bruce Schultz, Marc Jacobs, Martin Hofmann-Apitius
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2024-06-01
Series:	Artificial Intelligence in the Life Sciences
Assuntos:	Large language models (LLMs) Natural language processing (NLP) Biomedical text mining Biomedical knowledge graphs Biological expression language (BEL)
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2667318524000023
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