# Test-Time Scaling for Diffusion Language Models with Frequency-Aware Remasking

> Source: <https://aiflash.com/news/149954/>
> Published: 2026-11-11 18:30:01+00:00

Diffusion language models (DLMs) generate text through iterative denoising, where decisions about which tokens to commit or remask strongly affect output quality. Existing certainty-aware strategies rely on instantaneous confidence or entropy, but these local signals can be misleading on difficult r
