
MDM-Prime: A generalized Masked Diffusion Models (MDMs) Framework that Enables Partially Unmasked Tokens during Sampling
Introduction to MDMs and Their Inefficiencies Masked Diffusion Models (MDMs) are powerful tools for generating discrete data, such as text or symbolic sequences, by gradually unmasking tokens over time. In each step, tokens are either […]