3 papers
cs.CL2026
Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus
Aidan Mannion, Cécile Macaire, Armand Violle +5
Large language models (LLMs) have demonstrated remarkable capabilities across diverse domains, yet their adaptation to specialized fields remains challenging, particularly for non-…
cs.CL2026
PARHAF, a human-authored corpus of clinical reports for fictitious patients in French
Xavier Tannier, Salam Abbara, Rémi Flicoteaux +4
The development of clinical natural language processing (NLP) systems is severely hampered by the sensitive nature of medical records, which restricts data sharing under stringent…
cs.CL2025
Clinical trial cohort selection using Large Language Models on n2c2 Challenges
Chi-en Amy Tai, Xavier Tannier
Clinical trials are a critical process in the medical field for introducing new treatments and innovations. However, cohort selection for clinical trials is a time-consuming proces…