Papers with Arabic VLMs

2 papers
JEEM: Vision-Language Understanding in Four Arabic Dialects (2026.findings-eacl)

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Challenge: Existing evaluation datasets feature Western-centric images and English text, while their non-English counterparts are often derived from the latter.
Approach: They propose to evaluate Vision-Language Models (VLMs) on visual understanding across four Arabic-speaking countries: Jordan, The Emirates, Egypt, and Morocco.
Outcome: The proposed model underperforms in visual understanding and dialect-specific generation across four Arabic-speaking countries.
AraVQA: Building a New Arabic Factoid Visual Question Answering Dataset from Wikipedia (2026.acl-long)

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Challenge: Existing Arabic VQA datasets focus on culturally-specific and dialect-aware domains.
Approach: They propose a pipeline that leverages Wikipedia template tags to extract relevant information for each image and utilize it to generate a new visual question answering dataset.
Outcome: The proposed pipeline can enhance existing VLMs on Arabic VQA tasks by leveraging Wikipedia template tags.

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