Masked diffusion language models have a metric-dependent efficiency tradeoff: near-optimal perplexity in constant steps, but sequence-level correctness needs linearly many steps in the worst case.
Dirichlet diffusion score model for biological sequence generation
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Theoretical Benefit and Limitation of Diffusion Language Model
Masked diffusion language models have a metric-dependent efficiency tradeoff: near-optimal perplexity in constant steps, but sequence-level correctness needs linearly many steps in the worst case.