#natural language process...
Oct 2026
Where and When to Commit: Candidate-Aware Decoding for Diffusion Language Models
A training-free, candidate-aware early-exit framework that keeps the two axes separate and matches each decision to evidence of its own scope is introduced, referred to as LATCH ( Localized Acceleration with Tracked-Candidate Halting ).
Chia-Ming Lee, Ming-Ching Chang, Xin Li et al.
· arXiv.org · 0 citations