336 citations
- Nantes UniversitéFR5 papers
- Laboratoire Informatique d'AvignonFR4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Université Lumière Lyon 2FR3 papers
- Aix-Marseille UniversitéFR2 papers
- Centre Hospitalier Universitaire de NantesFR2 papers
- Laboratoire de Psychologie CognitiveFR2 papers
- Laboratoire des Sciences du Numérique de NantesFR2 papers
- Amsterdam University of the ArtsNL1 paper
- Broad InstituteUS1 paper
- Harvard UniversityUS1 paper
- Howard Hughes Medical InstituteUS1 paper
10 papers
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain
Yanis Labrak, Adrien Bazoge, Oumaima El Khettari +8
The biomedical domain has sparked a significant interest in the field of Natural Language Processing (NLP), which has seen substantial advancements with pre-trained language models…
How Important Is Tokenization in French Medical Masked Language Models?
Yanis Labrak, Adrien Bazoge, Beatrice Daille +2
Subword tokenization has become the prevailing standard in the field of natural language processing (NLP) over recent years, primarily due to the widespread utilization of pre-trai…
Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinions
Anas Belfathi, Nicolas Hernandez, Laura Monceaux
The legal domain is a vast and complex field that involves a considerable amount of text analysis, including laws, legal arguments, and legal opinions. Legal practitioners must ana…
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks
Yanis Labrak, Mickael Rouvier, Richard Dufour
We evaluate four state-of-the-art instruction-tuned large language models (LLMs) -- ChatGPT, Flan-T5 UL2, Tk-Instruct, and Alpaca -- on a set of 13 real-world clinical and biomedic…
FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain
Yanis Labrak, Adrien Bazoge, Richard Dufour +4
This paper introduces FrenchMedMCQA, the first publicly available Multiple-Choice Question Answering (MCQA) dataset in French for medical domain. It is composed of 3,105 questions…
Thread Reconstruction in Conversational Data using Neural Coherence Models
Dat Tien Nguyen, Shafiq Joty, Basma El Amel Boussaha +1
Discussion forums are an important source of information. They are often used to answer specific questions a user might have and to discover more about a topic of interest. Discuss…