[research]By ByteBulletin Editor
Masked Diffusion Models Get a Fair Evaluation: New Benchmark Exposes Training and Sampling Trade-offs
A new benchmark measures masked diffusion models against their autoregressive and continuous-diffusion counterparts, revealing that while they match likelihood, they lag in sample quality — and that naive extensions don't always help.
