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APAVI.AI, France
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Arabic hateful memes pose unique challenges that current detection models are ill-equipped to handle, revealing critical gaps in our understanding of online hate.
Training VLMs on a unified, multilingual, multitask meme dataset reveals that robust meme understanding requires multimodal training and is highly sensitive to dataset-specific overfitting.