--- title: "Who cites CAMEL-Bench: A Comprehensive — 20 citing papers" description: "20 papers of the Elamur Research library cite «CAMEL-Bench: A Comprehensive Arabic LMM Benchmark», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/ghaboura-2025-camel-bench-comprehensive-arabic-lmm/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ghaboura-2025-camel-bench-comprehensive-arabic-lmm/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CAMEL-Bench: A Comprehensive Arabic LMM Benchmark](https://md.research.elamur.ai/free/en/papers/ghaboura-2025-camel-bench-comprehensive-arabic-lmm/) / cited by # Who cites «CAMEL-Bench: A Comprehensive Arabic LMM Benchmark» 20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · [← back to «CAMEL-Bench: A Comprehensive Arabic LMM Benchmark»](https://md.research.elamur.ai/free/en/papers/ghaboura-2025-camel-bench-comprehensive-arabic-lmm/) 1. **[PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture](https://md.research.elamur.ai/free/en/papers/alwajih-2025-palmx-2025-first-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Fakhraddin Alwajih, Abdellah El Mekki, Hamdy Mubarak, et al.*2025 · 23 citations* 2. **[KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding](https://md.research.elamur.ai/free/en/papers/heakl-2025-kitab-bench-comprehensive-multi-domain/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ahmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, et al.*2025 · 21 citations* 3. [**Fanar 2.0: Arabic Generative AI Stack arXiv:2603.16397**FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.*2026 · 11 citations*](https://md.research.elamur.ai/free/en/papers/team-2026-fanar-2-0-arabic-generative/) 4. [**AIN: The Arabic INclusive Large Multimodal Model arXiv:2502.00094**Ahmed Heakl, Sara Ghaboura, Omkar Thawkar, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/heakl-2025-ain-arabic-inclusive-large-multimodal/) 5. **[Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset](https://md.research.elamur.ai/free/en/papers/alwajih-2025-pearl-multimodal-culturally-aware-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki, et al.*2025 · 11 citations* 6. [**Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and Gaps arXiv:2510.13430**Ahmed Alzubaidi, Shaikha Alsuwaidi, Basma El Amel Boussaha, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alzubaidi-2025-evaluating-arabic-large-language-models/) 7. [**OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA arXiv:2510.06371**Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/alam-2025-oasis-multilingual-multimodal-dataset-culturally/) 8. [**The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language Technology arXiv:2506.01340**Shahad Al-Khalifa; Nadir Durrani; Hend Al-Khalifa;, Firoj Alam*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/al-khalifa-2025-landscape-arabic-large-language-models/) 9. **[ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark](https://md.research.elamur.ai/free/en/papers/ghaboura-2026-arb-comprehensive-arabic-multimodal-reasoning/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sara Ghaboura, Shubham Patle, Ketan More, et al.*2026 · 3 citations* 10. [**Arabic Multimodal Machine Learning: Datasets, Applications, Approaches, and Challenges arXiv:2508.12227**Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/haouhat-2025-arabic-multimodal-machine-learning-datasets/) 11. **[AraVQA: Building a New Arabic Factoid Visual Question Answering Dataset from Wikipedia](https://md.research.elamur.ai/free/en/papers/alrowili-2026-aravqa-building-new-arabic-factoid/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sultan Alrowili, Younes Samih, Abed Alhakim Freihat, et al.*2026 · 1 citation* 12. **[AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models](https://md.research.elamur.ai/free/en/papers/althnian-2025-araeval-arabic-multi-task-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.*2025 · 1 citation* 13. [**Multi-Agent Interactive Question Generation Framework for Long Document Understanding arXiv:2507.20145**Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wang-2025-multi-agent-interactive-question-generation/) 14. [**ALPS: A Diagnostic Challenge Set for Arabic Linguistic & Pragmatic Reasoning arXiv:2602.17054**Hussein S. Al-Olimat, Ahmad Alshareef*2026*](https://md.research.elamur.ai/free/en/papers/al-olimat-2026-alps-diagnostic-challenge-set-arabic/) 15. [**Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning arXiv:2608.18361**Mena Attia, Mona Diab, Thamar Solorio*2026*](https://md.research.elamur.ai/free/en/papers/attia-2026-figurative-cultural-knowledge-llms-investigating/) 16. [**ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation arXiv:2608.30475**Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abdaljalil-2026-imageeval-2026-culturally-grounded-arabic/) 17. **[-SEA³-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation](https://md.research.elamur.ai/free/en/papers/wang-2025-mathbfa-sea-3-mathbfl-qa/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Kesen Wang, Daulet Toibazar, Pedro J Moreno Mengibar*2025* 3 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/ghaboura-2025-camel-bench-comprehensive-arabic-lmm/) — CAMEL-Bench: A Comprehensive Arabic LMM Benchmark