collaborators

7 papers

cs.CV2026

FAU at ImageCLEF 2026 Task on Multimodal Reasoning Robust Candidate Scoring and Concise Multilingual Visual Answering

Mohamed Basem, Vincent Christlein

We present our ImageCLEF 2026 Multimodal Reasoning system for the Visual Multiple Choice Question Answering (Visual MCQ) and Visual Open Question Answering (Visual OpenQA) subtasks…

cs.CL2025

!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…

cs.CL2025

!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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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,…