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Uniform-state diffusion models can outperform masked diffusion models in blockwise generation, challenging prior assumptions about their relative effectiveness.
Uniform-state diffusion models can now achieve state-of-the-art generative performance in language modeling, thanks to a new Predictor-Corrector sampler that breaks the quality plateau of ancestral sampling.
Uniform-state diffusion models, often overlooked in favor of masked diffusion, surprisingly outperform autoregressive and masked diffusion models on GSM8K when scaled to 1.7B parameters, despite worse perplexity.