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The University of Hong Kong
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Scaling diffusion model alignment just got a whole lot cheaper: Sol-RL uses FP4 rollouts to accelerate training convergence by up to 4.64x without sacrificing performance.
Swap out slow, one-token-at-a-time generation in VLMs for a 6x speed boost, without sacrificing quality, using a surprisingly simple direct conversion to block-diffusion decoding.
