4 papers
Trade-offs in Medical LLM Adaptation: An Empirical Study in French QA
Ikram Belmadani, Oumaima El Khettari, Carlos Ramisch +3
The development of large language models (LLMs) has led to an increased focus on their adaptation to specialized domains and languages, yet the effectiveness of domain adaptation s…
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…
LLM, Reporting In! Medical Information Extraction Across Prompting, Fine-tuning and Post-correction
Ikram Belmadani, Parisa Nazari Hashemi, Thomas Sebbag +5
This work presents our participation in the EvalLLM 2025 challenge on biomedical Named Entity Recognition (NER) and health event extraction in French (few-shot setting). For NER, w…