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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.
DFL gets a communication and privacy boost: PaME exchanges only sparse coordinates, achieving linear convergence under milder assumptions than existing methods.
