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ORCIDYanis Labrak
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2020 – today
- 2024
[c11]Yanis Labrak, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, Richard Dufour:
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains. ACL (Findings) 2024: 5848-5864- [c10]Yanis Labrak, Mickael Rouvier, Richard Dufour:
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks. LREC/COLING 2024: 2049-2066 - [c9]Yanis Labrak, Adrien Bazoge, Oumaima El Khettari, Mickael Rouvier, Pacome Constant dit Beaufils, Natalia Grabar, Béatrice Daille, Solen Quiniou, Emmanuel Morin, Pierre-Antoine Gourraud, Richard Dufour:
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain. LREC/COLING 2024: 5376-5390 - [c8]Yanis Labrak, Adrien Bazoge, Béatrice Daille, Mickael Rouvier, Richard Dufour:
How Important Is Tokenization in French Medical Masked Language Models? LREC/COLING 2024: 8223-8234 - [c7]Adrien Bazoge, Yanis Labrak, Richard Dufour, Benoît Favre, Mickael Rouvier:
Tâches et systèmes de sélection automatique de réponses à des QCM dans le domaine médical : Présentation de la campagne DEFT 2024. DEFT@TALN 2024: 1-10 - [e1]Richard Dufour, Benoît Favre, Mickael Rouvier, Adrien Bazoge, Yanis Labrak:
Actes du Défi Fouille de Textes@TALN 2024, Toulouse, France, July 8-12, 2024. ATALA and AFPC 2024 [contents] - [i10]Yanis Labrak, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, Richard Dufour:
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains. CoRR abs/2402.10373 (2024) - [i9]Yanis Labrak, Adrien Bazoge, Oumaima El Khettari, Mickael Rouvier, Pacome Constant dit Beaufils, Natalia Grabar, Béatrice Daille, Solen Quiniou, Emmanuel Morin, Pierre-Antoine Gourraud, Richard Dufour:
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain. CoRR abs/2402.13432 (2024) - [i8]Yanis Labrak, Adrien Bazoge, Béatrice Daille, Mickael Rouvier, Richard Dufour:
How Important Is Tokenization in French Medical Masked Language Models? CoRR abs/2402.15010 (2024) - [i7]Yanis Labrak, Adel Moumen, Richard Dufour, Mickael Rouvier:
Zero-Shot End-To-End Spoken Question Answering In Medical Domain. CoRR abs/2406.05876 (2024) - [i6]Yanis Labrak, Gabriel Meseguer-Brocal, Elena V. Epure:
Detecting Synthetic Lyrics with Few-Shot Inference. CoRR abs/2406.15231 (2024) - 2023
- [c6]Yanis Labrak, Adrien Bazoge, Richard Dufour, Mickael Rouvier, Emmanuel Morin, Béatrice Daille, Pierre-Antoine Gourraud:
DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains. ACL (1) 2023: 16207-16221 - [c5]Yanis Labrak, Mickael Rouvier, Richard Dufour:
MORFITT : Un corpus multi-labels d'articles scientifiques français dans le domaine biomédical. ARTS@CORIA-TALN 2023: 66-70 - [c4]Yanis Labrak, Adrien Bazoge, Richard Dufour, Mickael Rouvier, Emmanuel Morin, Béatrice Daille, Pierre-Antoine Gourraud:
DrBERT: Un modèle robuste pré-entraîné en français pour les domaines biomédical et clinique. CORIA-TALN (4) 2023: 109-120 - [i5]Yanis Labrak, Adrien Bazoge, Richard Dufour, Mickael Rouvier, Emmanuel Morin, Béatrice Daille, Pierre-Antoine Gourraud:
DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains. CoRR abs/2304.00958 (2023) - [i4]Yanis Labrak, Adrien Bazoge, Richard Dufour, Mickael Rouvier, Emmanuel Morin, Béatrice Daille, Pierre-Antoine Gourraud:
FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain. CoRR abs/2304.04280 (2023) - [i3]Yanis Labrak, Mickael Rouvier, Richard Dufour:
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks. CoRR abs/2307.12114 (2023) - 2022
- [j1]Qingyu Chen, Alexis Allot
, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Saipradeep Vg, Zhiyong Lu:
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(2022) (2022) - [c3]Yanis Labrak, Adrien Bazoge, Richard Dufour, Béatrice Daille, Pierre-Antoine Gourraud, Emmanuel Morin, Mickael Rouvier:
FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain. LOUHI@EMNLP 2022: 41-46 - [c2]Jason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz:
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. NeurIPS 2022 - [c1]Yanis Labrak, Richard Dufour:
ANTILLES: An Open French Linguistically Enriched Part-of-Speech Corpus. TSD 2022: 28-38 - [i2]Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Dogan, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Zhiyong Lu:
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. CoRR abs/2204.09781 (2022) - [i1]Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz:
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing. CoRR abs/2206.15076 (2022)
Coauthor Index
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