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Multimodal models struggle with consistency, showing significant judgment discrepancies between text and speech inputs, especially in Arabic contexts.
Manipulating just a few sparse neurons can steer Arabic LLMs to generate dialect-specific outputs without the need for extensive fine-tuning.