Papers with Arabic Factoid Visual Question Answering dataset
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. |