Enhancing Diffusion Language Models with Autoregressive Post-Training Weights

Yiming Qin, Ke Wang, Amel Abdelraheem +2

Diffusion language models (dLLMs) have emerged as a promising alternative to autoregressive (AR) language models, offering flexible token-update orders and parallel decoding. Recen…