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Image tokens can be compressed by 94% by prioritizing semantic detail over spatial uniformity, unlocking efficient vision-language models.
Stop throwing away information: Listwise preference optimization extracts more signal from multi-candidate image datasets and continuous reward scores, boosting diffusion model alignment beyond pairwise methods.