Yanis Labrak

Orcid: 0000-0003-1072-3862

According to our database1, Yanis Labrak authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
How Important Is Tokenization in French Medical Masked Language Models?
CoRR, 2024

DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain.
CoRR, 2024

BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains.
CoRR, 2024

2023
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks.
CoRR, 2023

MORFITT : Un corpus multi-labels d'articles scientifiques français dans le domaine biomédical.
Proceedings of the Actes de CORIA-TALN 2023. Actes de l'atelier "Analyse et Recherche de Textes Scientifiques", 2023

DrBERT: Un modèle robuste pré-entraîné en français pour les domaines biomédical et clinique.
Proceedings of the Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles, TALN 2023, 2023

DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing.
CoRR, 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.
CoRR, 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.
Database J. Biol. Databases Curation, 2022

ANTILLES: An Open French Linguistically Enriched Part-of-Speech Corpus.
Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022


FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain.
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022


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