Users appreciate using pretrained MLLMs as zero-shot reward models for text-to-image generation because the approach is cleaner than managing separate heavy reward systems.
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@_akhaliq Using these models as their own reward functions is way cleaner than trying to manage separate, heavy reward systems just to get the generation loops to work.
9:29 AM · Jul 15, 2026Read It Back Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation
8:51 AM · Jul 15, 2026Users appreciate using pretrained MLLMs as zero-shot reward models for text-to-image generation because the approach is cleaner than managing separate heavy reward systems.
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