When to Commit? Towards Variable-Size Self-Contained Blocks for Discrete Diffusion Language Models
arXiv:2604.23994v1 Announce Type: cross
Abstract: Discrete diffusion language models (dLLMs) enable parallel token updates with bidirectional attention, yet practical generation typically adopts blockwise semi-autoregressive decoding. This switch crea…