🧑‍🔬 Abubakr Mohamed

🏛️ Affiliations

🎓Hamad bin Khalifa UniversityDoha · Qatar2025 · 2 paperscurrent🎓High Institute for Management SciencesCairo · Egypt2019–2025 · 2 papersEmployment since 2019 · computer sciencecurrent🎓Mansoura UniversityAl Mansurah · Egypt2025 · 1 papercurrent🎓Zagazig UniversityZagazig · Egypt2020–2024 · 3 papersEducation 2020–2024 · master, computer science🎓Helwan UniversityCairo · Egypt2002–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture (2025 · 23 citations)
   Large language models learn mostly from web data, which leans toward Western, high-resource cultures. As a result, they understand Arab and Islamic customs, history and religious practice poorly, and there was no common yardstick to measure this. PalmX 2025 is a shared task built to fill that gap. It is divided into…
2. IslamicEval 2025: The First Shared Task of Capturing LLMs Hallucination in Islamic Content (2025 · 19 citations)
   LLMs used for Arabic religious questions often misquote or invent Qur'anic verses and Hadiths. IslamicEval 2025 is the first shared task built around measuring and catching such errors. It has two parts.
3. AraSafe: Benchmarking Safety in Arabic LLMs (2025 · 6 citations)
   Arabic has lacked a large safety benchmark built from genuine user input. Existing resources are mostly English or Chinese, and the Arabic ones are small, translated, or limited to a few labels such as hate or abuse. AraSafe addresses this gap. Recruited speakers from several Arab countries interacted with Arabic…
4. Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models (2025 · 5 citations)
   Written Modern Standard Arabic usually omits diacritics, the marks for short vowels and grammatical endings. As a result, one consonant skeleton can stand for several different words. The authors improve automatic restoration of these marks in three ways: better training data, better evaluation, and better models.
5. Nahw: A Comprehensive Benchmark of Arabic Grammar Understanding, Error Detection, Correction, and Explanation (2026 · 3 citations)
   The paper builds Nahw, a benchmark for Modern Standard Arabic grammar taken from school grammar material. It has four tasks in a ladder: grammar understanding (5K multiple-choice questions, Nahw-MCQ, grades 6 to 12), error detection and correction in 100 short passages with about five errors each (Nahw-Passage, 511…

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Hamdy Mubarak ×5
• Majd Hawasly ×4
• Abdellah El Mekki
• Fakhraddin Alwajih
• Kareem Darwish
• Mahmoud Fawzi
• Muhammad Abdul-Mageed
• Rana Malhas
• Tamer Elsayed
• Walid Magdy
• Watheq Mansour

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Arabic Natural Language Processing Conference (ArabicNLP) ×2: ArabicNLP 2025 ×2
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2025

🔗 Cited by

Papers of our library cite their works 171 times (of the 149,439 papers whose bibliographies we read); 117 citing papers with a page here →.

Updated 31 October 2026

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