Portfolio item number 1
Published:
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Published:
Short description of portfolio item number 2
publications
TCE at Qur’an QA 2022: Arabic Language Question Answering Over Holy Qur’an Using a Post-Processed Ensemble of BERT-based Models
Published in OSACT workshop (LREC), 2022
My submission to Qur'an QA 2022 Shared Task, which received the First place 🥇 performance award. 👉 Competition Official Page 🔗
Recommended citation:
Download Paper | Download Slides
TCE at Qur’an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur’anic QA
Published in ArabicNLP Conference (EMNLP), 2023
This work was my submission to Qur'an QA 2023 Shared Task, which, hopefully, got the performance First place award 🥇 in both sub-tasks of Quran QA shared-task 2023 👉 Competition Official Page 🔗
Recommended citation:
Download Paper | Download Slides
Improving Ranking-based Question Answering with Weak Supervision for Low-Resource Qur’anic Texts
Published in Artificial Intelligence Review Springer Journal, 2024
This work introduces, among other findings, a novel weakly supervised learning mechanism tailored for ranking-based question answering over the Holy Qur’an. 👉 Paper Link (Open access) 🔗
Recommended citation:
Download Paper
Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
Published in NeurIPS 2025 Proceedings, Datasets and Benchmarks Track, 2025
Published in NeurIPS 2025 Proceedings, Datasets and Benchmarks Track. This work addresses key challenges in KGQA datasets and proposes a universal framework leveraging LLMs to automatically create high-quality benchmarks for KGQA.
Recommended citation:
Download Paper
TCE at IslamicEval 2025: Retrieval-Augmented LLMs for Quranic and Hadith Content Identification and Verification
Published in ArabicNLP2025 (EMNLP2025), IslamicEval 2025, 2025
Presented at ArabicNLP2025 conference, co-held with EMNLP2025. This work proposes a framework to detect and cross-check religious content in generated Arabic text, achieving 86.11% accuracy for segment detection and 89.82% accuracy in content verification from authoritative sources.
Recommended citation:
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.