4 citations · 6 across the 6 of their papers we have counts for
8 papers
Prompting language influences diagnostic reasoning and accuracy of large language models
Adrien Bazoge, Josselin Corvellec, Sofiane Djillali Sid-Ahmed +1
Large language models (LLMs) are increasingly explored for clinical decision support, yet most evaluations are conducted in English, leaving their reliability in other languages un…
Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
Trung Hieu Ngo, Adrien Bazoge, Solen Quiniou +2
Large Language Models (LLMs) excel in Natural Language Processing (NLP) tasks, but they often propagate biases embedded in their training data, which is potentially impactful in se…
Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models
Adrien Bazoge, Pacôme Constant dit Beaufils, Mohammed Hmitouch +6
Social determinants of health (SDoH) significantly influence health outcomes, shaping disease progression, treatment adherence, and health disparities. However, their documentation…
Adaptation of Biomedical and Clinical Pretrained Models to French Long Documents: A Comparative Study
Adrien Bazoge, Emmanuel Morin, Beatrice Daille +1
Recently, pretrained language models based on BERT have been introduced for the French biomedical domain. Although these models have achieved state-of-the-art results on biomedical…
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…
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
Yanis Labrak, Adrien Bazoge, Emmanuel Morin +3
Large Language Models (LLMs) have demonstrated remarkable versatility in recent years, offering potential applications across specialized domains such as healthcare and medicine. D…
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…