4 papers
MedErrBench: A Fine-Grained Multilingual Benchmark for Medical Error Detection and Correction with Clinical Expert Annotations
Congbo Ma, Yichun Zhang, Yousef Al-Jazzazi +6
Inaccuracies in existing or generated clinical text may lead to serious adverse consequences, especially if it is a misdiagnosis or incorrect treatment suggestion. With Large Langu…
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.…
MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and Benchmark
Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj +6
Arabic remains one of the most underrepresented languages in natural language processing research, particularly in medical applications, due to the limited availability of open-sou…
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…