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ResearchOctober 26, 2026

DELA: Learning Controllable Edits for Diffusion Language Models

arXiv:2610.32096v1 Announce Type: new Abstract: Diffusion language models (DLMs) support bidirectional denoising and iterative refinement, but generation remains largely controlled by token-level masking schedules. This leaves draft-level refinement implicit and limits explicit…

Xinsong Feng, Chenan Wang, Leshu Tang, Johnny Liu, Dong Li, Da Li, Haipeng Chen·arXiv — cs.AI
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Key Takeaways
  • 01.arXiv:2610.32096v1 Announce Type: new Abstract: Diffusion language models (DLMs) support bidirectional denoising and iterative refinement, but generation remains largely controlled by token-level masking schedules
  • 02.This leaves draft-level refinement implicit and limits explicit…

This material is provided as an extended analytical summary.

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