---
title: "Who cites AraCLIP: Cross-Lingual Learning — 4 citing papers"
description: "4 papers of the Elamur Research library cite «AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/barham-2024-araclip-cross-lingual-learning-effective/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/barham-2024-araclip-cross-lingual-learning-effective/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [AraCLIP: Cross-Lingual Learning for Effective…](https://md.research.elamur.ai/free/en/papers/barham-2024-araclip-cross-lingual-learning-effective/) / cited by

# Who cites «AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval»](https://md.research.elamur.ai/free/en/papers/barham-2024-araclip-cross-lingual-learning-effective/)

1. [**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/)
2. **[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*

2 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/barham-2024-araclip-cross-lingual-learning-effective/) — AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval
