Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats

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HAL (Le Centre pour la Communication Scientifique Directe)
Published
2026-05-11
Primary Topic
Biomedical Text Mining and Ontologies
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article
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article

Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats

Adrien Coulet, Pierre Epron, Mehwish Alam
HAL (Le Centre pour la Communication Scientifique Directe)
Biomedical Text Mining and Ontologies
article

Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats

Adrien Coulet, Pierre Epron, Mehwish Alam
article en

Abstract

No abstract available for this paper.
HAL (Le Centre pour la Communication Scientifique Directe)
Télécom Paris (FR), Institut Polytechnique de Paris (FR), Organisation Mondiale de la Santé Animale (FR)
Grand Équipement National De Calcul Intensif
Partnerships for the goals
Openalex Percentile: Top 38%
Biomedical Text Mining and Ontologies
Open Access PDFOpenAlex
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Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats — Adrien Coulet, Pierre Epron, et al. · HAL (Le Centre pour la Communication Scientifique Directe) (2026) | TGRS Research Map | TGRS