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NeuronEye: Query-Guided Visual Concept Activation for Vision-Language Reasoning
Current vision-language models (VLMs) encode visual information in dense hidden states where object identity, spatial layout, and local attributes are implicitly entangled rather than explicitly disentangled, limiting their ability to isolate and modulate the specific visual evidence required by a g
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