Masked Diffusion Models

Researchers introduced Masked Language Flow Models (MLFMs), combining masked diffusion and flow-based methods for efficient language generation. MLFMs enable conditional generation via continuous flow…

Researchers introduced Learned Relay Representations (Relay), a method that enables Masked Diffusion Models to propagate latent information between denoising steps rather than discarding internal comp…

Researchers have developed Progressive Self-Correction (ProSeCo), a framework that enables masked diffusion models to correct previously generated tokens rather than leaving them fixed. The method reu…