3 papers
cs.CL2026
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…
cs.CL2026
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…
cs.CL2026
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…