5 papers
MedInjection-FR: Exploring the Role of Native, Synthetic, and Translated Data in Biomedical Instruction Tuning
Ikram Belmadani, Oumaima El Khettari, Pacôme Constant dit Beaufils +2
Instruction tuning has become essential for adapting large language models (LLMs) to follow domain-specific prompts. Yet, in specialized fields such as medicine, the scarcity of hi…
Who Judges the Judge? Evaluating LLM-as-a-Judge for French Medical open-ended QA
Ikram Belmadani, Oumaima El Khettari, Pacôme Constant dit Beaufils +2
Automatic evaluation of medical open-ended question answering (OEQA) remains challenging due to the need for expert annotations. We evaluate whether large language models (LLMs) ca…
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…
Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs
Jong Ho Jhee, Alberto Megina, Pacôme Constant Dit Beaufils +4
Background: With the increasing availability of healthcare data, predictive modeling finds many applications in the biomedical domain, such as the evaluation of the level of risk f…
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…