Introspective Diffusion Language Models (5 minute read)

Diffusion language models (DLMs) offer a compelling promise that parallel token generation could break the sequential bottleneck of autoregressive (AR) decoding. However, DLMs consistently lag behind AR models in quality. This gap stems from a fundamental failure of