5 papers
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…
Few-Shot Prompting for Extractive Quranic QA with Instruction-Tuned LLMs
Mohamed Basem, Islam Oshallah, Ali Hamdi +1
This paper presents two effective approaches for Extractive Question Answering (QA) on the Quran. It addresses challenges related to complex language, unique terminology, and deep…
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors
Baraa Hikal, Mohamed Basem, Islam Oshallah +1
We present MSA-MathEval, our submission to the BEA 2025 Shared Task on evaluating AI tutor responses across four instructional dimensions: Mistake Identification, Mistake Location,…
Cross-Language Approach for Quranic QA
Islam Oshallah, Mohamed Basem, Ali Hamdi +1
Question answering systems face critical limitations in languages with limited resources and scarce data, making the development of robust models especially challenging. The Qurani…
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…