Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models

Ivan Sedykh, Nikita Sorokin, Valentin Malykh

Recent advances in masked diffusion language models (MDLMs) narrow the quality gap to autoregressive LMs, but their sampling remains expensive because generation requires many full…