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Xiamen University
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Current Omni-modal LLMs can ace perception tasks but still fail at basic social interactions like knowing when and how to jump into a conversation.
By aligning attention patterns between intact and corrupted image processing paths, CrystaL crystallizes task-relevant visual semantics in MLLM latent spaces without needing extra annotations.
