From Position Risks to Block Survival: Faster Generation for Diffusion Language Models
Diffusion language models (DLMs) can accelerate generation by predicting multiple tokens in parallel, but there is a mismatch between how these tokens are predicted and how they ultimately contribute to generation. Parallel predictions can hardly condition on the tokens selected earlier within the same block, even thou...
Si-Wei Chen, Yu-Xiang Wan, Yi-Fan Yu et al.
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