Comparative analysis of generative LLMs for labeling entities in clinical notes

Abstract This paper evaluates and compares different fine-tuned variations of generative large language models (LLM) in the zero-shot named entity recognition (NER) task for the clinical domain. As part of the 8th Biomedical Linked Annotation Hackathon, we examined Llama 2 and Mistral models, includ...

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Hlavní autoři:	Rodrigo del Moral-González, Helena Gómez-Adorno, Orlando Ramos-Flores
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BioMed Central 2025-02-01
Edice:	Genomics & Informatics
Témata:	Zero-shot Named entity recognition Generative language models Clinical domain BLAH8
On-line přístup:	https://doi.org/10.1186/s44342-024-00036-x
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