From the 2 of 11 linked papers with an AI index.
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A Multi-Model Metric-based Selection Framework for Abstractive Text summarization
Ahmed Alansary, Ali Hamdi
The paper proposes a framework that combines several fine‑tuned transformer summarizers and selects the best output using automatic metrics, improving abstractive summarization qua…
Improving Answer Extraction in Context-based Question Answering Systems Using LLMs
Hafez Abdelghaffar, Ahmed Alansary, Ali Hamdi
Question answering (QA) systems have achieved notable progress with the advent of large language models (LLMs). However, they still face challenges in accurately extracting and gen…
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,…