--- title: "Who cites ImageEval 2025: The First Arabic — 12 citing papers" description: "12 papers of the Elamur Research library cite «ImageEval 2025: The First Arabic Image Captioning Shared Task», found in their…" canonical: "https://research.elamur.ai/free/en/papers/bashiti-2025-imageeval-2025-first-arabic-image/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/bashiti-2025-imageeval-2025-first-arabic-image/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ImageEval 2025: The First Arabic Image Captioning…](https://md.research.elamur.ai/free/en/papers/bashiti-2025-imageeval-2025-first-arabic-image/) / cited by # Who cites «ImageEval 2025: The First Arabic Image Captioning Shared Task» 12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «ImageEval 2025: The First Arabic Image Captioning Shared Task»](https://md.research.elamur.ai/free/en/papers/bashiti-2025-imageeval-2025-first-arabic-image/) 1. **[Averroes at ImageEval 2025 Shared Task: Advancing Arabic Image Captioning with Augmentation and Two-Stage Generation](https://md.research.elamur.ai/free/en/papers/saeed-2025-averroes-imageeval-2025-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mariam Saeed, Sarah Elshabrawy, Abdelrahman Hagrass, et al.*2025 · 3 citations* 2. **[ImpactAi at ImageEval 2025 Shared Task: Region-Aware Transformers for Arabic Image Captioning – A Case Study on the Palestinian Narrative](https://md.research.elamur.ai/free/en/papers/qasem-2025-impactai-imageeval-2025-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Rabee Al-Qasem, Mohannad Hendi*2025 · 3 citations* 3. [**Multimodal Arabic Captioning with Interpretable Visual Concept Integration arXiv:2510.03295**Passant Elchafei, Amany Fashwan*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/elchafei-2025-multimodal-arabic-captioning-interpretable-visual/) 4. **[NU_Internship team at ImageEval 2025: From Zero-Shot to Ensembles: Enhancing Grounded Arabic Image Captioning](https://md.research.elamur.ai/free/en/papers/gaber-2025-nu-internship-team-imageeval-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Rana Gaber, Seif Eldin Amgad, Ahmed Sherif Nasri, et al.*2025 · 2 citations* 5. **[VLCAP at ImageEval 2025 Shared Task: Multimodal Arabic Captioning with Interpretable Visual Concept Integration](https://md.research.elamur.ai/free/en/papers/elchafei-2025-vlcap-imageeval-2025-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Passant Elchafei, Amany Fashwan*2025 · 2 citations* 6. **[AraREQ: A Dataset and End-to-End System for Conflict Detection and Resolution in Software Requirements](https://md.research.elamur.ai/free/en/papers/hammouda-2026-arareq-dataset-end-end-system/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tymaa Hasanain Hammouda, Alaa Aljabari, Nagham Fahim Hamad, et al.*2026* 7. **[Building Arabic NLP from the Ground Up: Twenty Years of Lessons, Failures, and Open Problems](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-building-arabic-nlp-ground-up/) [Big Picture v2: Crafting a Research Narrative](https://md.research.elamur.ai/free/en/venues/bigpicture/)**Wajdi Zaghouani*2026* 8. **[How Foundation Models Behave for Arabic Image Captioning?](https://md.research.elamur.ai/free/en/papers/dahimi-2026-how-foundation-models-behave-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Khaoula Dahimi, Amel Belabbaci, Hadda Cherroun, et al.*2026* 9. **[BZU-AUM@ImageEval2025: An Arabic Image Captioning Dataset for Conflict Narratives with Human Annotation](https://md.research.elamur.ai/free/en/papers/alkhanafseh-2025-bzu-aum-imageeval2025-arabic-image/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohammed Alkhanafseh, Ola Surakhi, Abdallah Abedaljalill*2025* 10. **[Codezone Research Group at ImageEval Shared-Task 2: Arabic Image Captioning Using BLIP and M2M100: A Two-Stage Translation Approach for ImageEval 2025](https://md.research.elamur.ai/free/en/papers/bichi-2025-codezone-research-group-imageeval-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Shehu Bichi, Abdulkadir*2025* 11. **[PhantomTroupe at ImageEval 2025 Shared Task: Multimodal Arabic Image Captioning through Translation-Based Fine-Tuning of LLM Models](https://md.research.elamur.ai/free/en/papers/horaira-2025-phantomtroupe-imageeval-2025-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Muhammad Abu Horaira, Farhan Amin, Sakibul Hasan, et al.*2025* 1 more paper of our library cites it; it has no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/bashiti-2025-imageeval-2025-first-arabic-image/) — ImageEval 2025: The First Arabic Image Captioning Shared Task