🔗 Who cites «KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding»

1. 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
2. Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCRarXiv:2509.18174Khalil Hennara, Muhammad Hreden, Mohamed Motasim Hamed, et al.2025 · 3 citations
3. POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen Xu, Liangyu Chen, Liang Zhang, et al.2026 · 2 citations
4. OCRTurk: A Comprehensive OCR Benchmark for TurkishWorkshop Natural Language Processing for Turkic LanguagesDeniz Yılmaz, Evren Ayberk Munis, Cagri Toraman, et al.2026 · 1 citation
5. Cross-Lingual SynthDocs: A Large-Scale Synthetic Corpus for Any to Arabic OCR and Document UnderstandingarXiv:2511.04699Haneen Al-Homoud; Asma Ibrahim; Murtadha Al-Jubran; Fahad Al-Otaibi; Yazeed Al-Harbi; Daulet Toibazar; Kesen Wang;, Pedro J. Moreno2025 · 1 citation
6. AraMS-28k: The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts with Margin and Insertion-Anchor AnnotationsarXiv:2608.26921Mohamed Guechaoui, Mohamed Diaa Zellagui, Souleyman Chaib, et al.2026
7. InkSight: Towards AI-Aided Historical Manuscript AnalysisConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrey Sakhovskiy, Ivan Ulitin, Emilia Bojarskaja, et al.2026
8. -SEA³-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer GenerationArabic Natural Language Processing Conference (ArabicNLP)Kesen Wang, Daulet Toibazar, Pedro J Moreno Mengibar2025

1 more paper of our library cites it; it has no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/heakl-2025-kitab-bench-comprehensive-multi-domain/cited-by/