Hao Yang

GRAFT: Restoring the Missing Sampling Interface in Continuous Diffusion Language Models

Continuous diffusion language models generate a whole sequence in parallel, never drawing a single word at any intermediate step; only the final step turns embeddings into text. Models such as ELF now report autoregressive-level quality at a fraction of the sampling steps of discrete-token diffusion models, and this de...