Improving Variable-Length Generation in Diffusion Language Models via Length Regularization

Zicong Cheng, Ruixuan Jia, Jia Li +3

Diffusion Large Language Models (DLLMs) are inherently ill-suited for variable-length generation, as their inference is defined on a fixed-length canvas and implicitly assumes a kn…