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...

Descripción completa

Detalles Bibliográficos

Autores principales:	Rodrigo del Moral-González, Helena Gómez-Adorno, Orlando Ramos-Flores
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	BioMed Central 2025-02-01
Colección:	Genomics & Informatics
Materias:	Zero-shot Named entity recognition Generative language models Clinical domain BLAH8
Acceso en línea:	https://doi.org/10.1186/s44342-024-00036-x
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!