Tag: masked

Training-Free Self-Correction for Multimodal Masked Diffusion Models arXiv:2602.02927v1 Announce Type: new Abstract: Masked diffusion models have emerged as a powerful framework for text and multimodal generation. However, their sampling procedure updates multiple tokens simultaneously and treats generated tokens as immutable, which may lead to error accumulation when early mistakes cannot be revised. In this work,…