TL;DR: DMax cleverly mitigates error accumulation by reforming decoding as a progressive self-refinement process, allowing the model to correct its own erroneous predictions during generation. Abstract: We present DMax, a new paradigm for efficient diffusion language models (dLLMs). It mitigates err
