4 papers
Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection
Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan +7
Large Language Models (LLMs) perform strongly in English medical tasks but degrade substantially in Arabic, a gap widely attributed to limited training data. We systematically inve…
Cross-Lingual Empirical Evaluation of Large Language Models for Arabic Medical Tasks
Chaimae Abouzahir, Congbo Ma, Nizar Habash +1
In recent years, Large Language Models (LLMs) have become widely used in medical applications, such as clinical decision support, medical education, and medical question answering.…
AraHealthQA 2025: The First Shared Task on Arabic Health Question Answering
Hassan Alhuzali, Walid Al-Eisawi, Muhammad Abdul-Mageed +9
We introduce AraHealthQA 2025, the Comprehensive Arabic Health Question Answering Shared Task, held in conjunction with ArabicNLP 2025 (co-located with EMNLP 2025). This shared tas…
MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks
Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf +3
Large Language Models (LLMs) have demonstrated significant promise for various applications in healthcare. However, their efficacy in the Arabic medical domain remains unexplored d…