DEdit: Iterative Draft Editing for Speculative Decoding
DEdit is introduced, a diffusion-based drafter that can not only draft by conventional parallel unmasking but also iteratively edit its draft through token-to-token predictions, and ProposalMix, a training scheme that mixes draft predictions with ground-truth tokens based on first-pass confidence during training.