4 papers
!MSA at AraHealthQA 2025 Shared Task: Enhancing LLM Performance for Arabic Clinical Question Answering through Prompt Engineering and Ensemble Learning
Mohamed Tarek, Seif Ahmed, Mohamed Basem
We present our systems for Track 2 (General Arabic Health QA, MedArabiQ) of the AraHealthQA-2025 shared task, where our methodology secured 2nd place in both Sub-Task 1 (multiple-c…
!MSA at BAREC Shared Task 2025: Ensembling Arabic Transformers for Readability Assessment
Mohamed Basem, Mohamed Younes, Seif Ahmed +1
We present MSAs winning system for the BAREC 2025 Shared Task on fine-grained Arabic readability assessment, achieving first place in six of six tracks. Our approach is a confidenc…
Two-Stage Quranic QA via Ensemble Retrieval and Instruction-Tuned Answer Extraction
Mohamed Basem, Islam Oshallah, Ali Hamdi +2
Quranic Question Answering presents unique challenges due to the linguistic complexity of Classical Arabic and the semantic richness of religious texts. In this paper, we propose a…
Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models
Mohamed Basem, Islam Oshallah, Baraa Hikal +2
Understanding the deep meanings of the Qur'an and bridging the language gap between modern standard Arabic and classical Arabic is essential to improve the question-and-answer syst…