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DrBERT: Un modèle robuste pré-entraîné en français pour les domaines biomédical et clinique.

, , , , , , and . CORIA-TALN (4), page 109-120. ATALA, (2023)

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FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain., , , , , , and . CoRR, (2023)Adaptation of Biomedical and Clinical Pretrained Models to French Long Documents: A Comparative Study., , , and . CoRR, (2024)Revue de la littérature : entrepôts de données biomédicales et traitement automatique de la langue (Literature review : biomedical data warehouse and natural language processing ).. TALN-RECITAL, page 96-109. ATALA, (2021)FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain., , , , , , and . LOUHI@EMNLP, page 41-46. Association for Computational Linguistics, (2022)How Important Is Tokenization in French Medical Masked Language Models?, , , , and . CoRR, (2024)DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains., , , , , , and . ACL (1), page 16207-16221. Association for Computational Linguistics, (2023)DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain., , , , , , , , , and 1 other author(s). CoRR, (2024)BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains., , , , , and . CoRR, (2024)DrBERT: Un modèle robuste pré-entraîné en français pour les domaines biomédical et clinique., , , , , , and . CORIA-TALN (4), page 109-120. ATALA, (2023)