Diffusion Models Finally Catch Up to Autoregressive AI in Quality and Speed

I-DLM addresses the 'introspective consistency' failure in traditional diffusion models, enabling parallel token generation without sacrificing output quality. By matching the performance of same-scale autoregressive models while delivering up to 4.1x higher throughput, it establishes a new benchmark for efficient LLM inference.