Preprint
Jul 2026
Speculative Correction: Draft-then-Refine Decoding for Diffusion Language Models
Overall, same-model draft-and-refine provides evidence that bidirectional refinement is a useful decoding primitive for DLMs, while speculative correction demonstrates a training-free route to fast DLM generation.
Brian K. Chen, Chongwu Wu, Kenji Kawaguchi
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