19 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…
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models
Mohamed Adel, Bashar Alhafni, Nizar Habash
Large language models (LLMs) perform strongly on many NLP tasks, but their ability to produce explicit linguistic structure remains unclear. We evaluate instruction-tuned LLMs on t…
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…
A Tale of Two Scripts: Transliteration and Post-Correction for Judeo-Arabic
Juan Moreno Gonzalez, Bashar Alhafni, Nizar Habash
Judeo-Arabic refers to Arabic variants historically spoken by Jewish communities across the Arab world, primarily during the Middle Ages. Unlike standard Arabic, it is written in H…