🧑‍🔬 Ahmed Heakl

🏛️ Affiliations

🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2024–2026 · 17 paperscurrent🎓Egypt-Japan University of Science and TechnologyAlexandria · Egypt2024 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 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. CAMEL-Bench: A Comprehensive Arabic LMM Benchmark (2025 · 22 citations)
   Most benchmarks for large multimodal models (LMMs) are built around English. This leaves Arabic, with more than 400 million speakers, without a broad way to test models. CAMEL-Bench fills that gap. It is an Arabic evaluation suite covering eight domains and 38 sub-domains:
2. KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding (2025 · 21 citations)
   Arabic OCR trails English OCR. The script is cursive and written right to left, and its typography is rich. Existing Arabic datasets mostly cover isolated handwriting or printed lines, not full document understanding. KITAB-Bench fills this gap with 8,809 evaluation samples spread over 9 major tasks and 36…
3. AIN: The Arabic INclusive Large Multimodal Model (2025 · 11 citations)
   Arabic text-only LLMs have improved, but Arabic multimodal models still cover only narrow slices of vision-language understanding.
4. SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant Reasoning (2026 · 4 citations)
   Arabic financial NLP has almost no evaluation resources, even though Gulf economies and the Islamic finance industry produce large amounts of Arabic regulatory, juristic and corporate text.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkFindings of the Association for Computational LinguisticsSara Ghaboura, Ahmed Heakl, Omkar Thawakar, et al.2025 · 22 citations
2. KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document UnderstandingFindings of the Association for Computational LinguisticsAhmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, et al.2025 · 21 citations
3. AIN: The Arabic INclusive Large Multimodal ModelarXiv:2502.00094Ahmed Heakl, Sara Ghaboura, Omkar Thawkar, et al.2025 · 11 citations
4. SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Rania Elbadry, Sarfraz Ahmad, Ahmed Heakl, et al.2026 · 4 citations
5. VideoMolmo: Spatio-Temporal Grounding Meets Pointing ↗arXiv (Cornell University) · no summary yetGhazi Shazan Ahmad et al.2025 · 2 citations

🤝 Co-authors here

12 of 17 co-authors with a page, the most papers together first.

• Fahad Shahbaz Khan ×3
• Salman Khan ×3
• Rania Elbadry ×2
• Rao Muhammad Anwer ×2
• Sara Ghaboura ×2
• Hisham Cholakkal
• Jimin Huang
• Jorma Laaksonen
• Momina Ahsan
• Mukul Ranjan
• Omkar Thawakar
• Salem Lahlou

Venues

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

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2025 ×2
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026

🔗 Cited by

Papers of our library cite their works 45 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated 1 November 2026

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