Learned Relay Representations enable masked diffusion models to propagate useful latent information across denoising steps, scaling to Fast-dLLM v2 to outperform supervised finetuning on coding tasks while cutting inference latency by up to 32%.
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking , 2025
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Learned Relay Representations for Forward-Thinking Discrete Diffusion Models
Learned Relay Representations enable masked diffusion models to propagate useful latent information across denoising steps, scaling to Fast-dLLM v2 to outperform supervised finetuning on coding tasks while cutting inference latency by up to 32%.