4 papers
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,…
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…
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…