arXiv cs.AI
· Papers
Beyond Block Boundaries: Multi-Block Editing for Diffusion Large Language Models
arXiv:2607.22663v2 Announce Type: replace Abstract: Block diffusion is the dominant approach for scaling discrete diffusion language models (dLLMs), as fixed-size blocks preserve parallel decoding while keeping quadratic attention costs tractable. Yet blockwise generation creates a structural weakness: tokens near a bl