Researchers introduce Self-Correcting Coupled Markov Jump Processes (SC-CMJP), a framework enabling concurrent image understanding and generation through cross-modal coupling, and its training-free sa…
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…