Papers with Arabic Factoid Visual Question Answering dataset

1 papers
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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