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Gaze Attention: Query-Adaptive Visual Routing for Efficient Multimodal LLMs
When humans describe a visual scene, they do not process the entire image uniformly; instead, they selectively fixate on regions relevant to their intended description. In contrast, current multimodal large language models (MLLMs) attend to all visual tokens, leading to diluted focus and unnecessary
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