6 papers · 1 filter
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 SemEval-2025 Task 3: High Quality Weak Labeling and LLM Ensemble Verification for Multilingual Hallucination Detection
Baraa Hikal, Ahmed Nasreldin, Ali Hamdi
This paper describes our submission for SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. The task invo…
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…
Few-Shot Optimized Framework for Hallucination Detection in Resource-Limited NLP Systems
Baraa Hikal, Ahmed Nasreldin, Ali Hamdi +1
Hallucination detection in text generation remains an ongoing struggle for natural language processing (NLP) systems, frequently resulting in unreliable outputs in applications suc…