2 papers
cs.CL2026
Rethinking the Generation Order of Block Diffusion Language Models
Kai Syun Hou, James Kwok
Diffusion language models enable flexible arbitrary-order generation, but existing sampling methods are mostly designed for early masked diffusion models (MDMs). In this work, we s…
cs.CL2026
Attention-Based Sampler for Diffusion Language Models
Yuyan Zhou, Kai Syun Hou, Weiyu Chen +1
Auto-regressive models (ARMs) have established a dominant paradigm in language modeling. However, their strictly sequential sampling paradigm imposes fundamental constraints on bot…