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cs.CL2026
PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language Models
Xiaocheng Lu, Shuhan Guo, Ziyue Ma +5
Diffusion language models (dLLMs), such as LLaDA and Dream, have become competitive with autoregressive (AR) LLMs in generation quality while supporting native parallel decoding. A…
cs.CL2026
OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models
Xiaocheng Lu, Hualei Zhang, Shuhan Guo +8
Diffusion language models (dLLMs) can predict many tokens in parallel, but accurate generation still requires many iterative denoising steps. Few-step distillation accelerates deco…