Showing 2026Show all
2 papers · 1 filter
cs.CL2026
Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?
Alexander Shabalin, Simon Elistratov, Viacheslav Meshchaninov +2
Diffusion models have become a standard approach for generative modeling in continuous domains, yet their application to discrete data remains challenging. We investigate why Gauss…
cs.CL2026
How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
Viacheslav Meshchaninov, Alexander Shabalin, Egor Chimbulatov +4
Latent diffusion models offer an attractive alternative to discrete diffusion for non-autoregressive text generation by operating on continuous text representations and denoising e…