2026
Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
ICLR 2026poster
Diffusion large language models (dLLMs) generate text through iterative denoising, yet current decoding strategies discard rich intermediate predictions in favor of the final output. Our work here reveals a critical phenomenon, temporal oscillation, where correct answers often emerge in the middle p…