2026
LUGS: Latent-aware Guidance for Efficient Unmasking in Diffusion Large Language Models
ICML 2026poster
Diffusion Language Models (DLMs) have emerged as a flexible alternative to autoregressive (AR) models. They can decode tokens in any order, but the generation quality critically depends on the decoding strategy. Existing approaches predominantly rely on local heuristics, such as confidence or entrop…