Cord: Confidence-Anchored Order Residual Decoding for Masked Diffusion Language Models
arXiv:2610.39372v1 Announce Type: cross Abstract: The decoding order of masked diffusion language models (dLLMs) can substantially affect generation quality, yet common decoders typically apply the same reveal rule throughout generation. Confidence provides a strong default, but it measures how decisively a position can be predicted now, not how useful revealing that position will be for subsequent decoding. We propose Cord, a lightweight prompt-conditioned policy that retains confidence decodi…