13 citations · 32 across the 15 of their papers we have counts for
3 papers · 1 filter
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…
DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains
Yanis Labrak, Adrien Bazoge, Richard Dufour +4
In recent years, pre-trained language models (PLMs) achieve the best performance on a wide range of natural language processing (NLP) tasks. While the first models were trained on…
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…