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Progressive semantic refinement no longer requires linear codebook memory growth: reusing a compact set of shared knowledge bases across residual stages achieves multi-depth transmission with a strictly bounded storage footprint.
Current image quality metrics struggle to articulate *why* one high-quality image is better than another, but this challenge shows MLLMs are closing the gap by providing expert-level explanations.
LLMs may ace the test, but they're failing to think like us: a new benchmark reveals their struggle to simulate individual cognitive consistency across research domains and time.
