{"slug": "test-time-scaling-for-diffusion-language-models-with-frequency-aware-remasking", "title": "Test-Time Scaling for Diffusion Language Models with Frequency-Aware Remasking", "summary": "A research paper proposes frequency-aware remasking, a test-time scaling method for diffusion language models (DLMs) that replaces instantaneous confidence or entropy signals with frequency-based ones when deciding which tokens to commit or remask during iterative denoising. The authors argue existing certainty-aware strategies can be misleading on difficult reasoning tasks because their local signals are unreliable. The work targets output quality in DLM text generation without requiring model retraining.", "body_md": "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", "url": "https://wpnews.pro/news/test-time-scaling-for-diffusion-language-models-with-frequency-aware-remasking", "canonical_source": "https://aiflash.com/news/149954/", "published_at": "2026-11-11 18:30:01+00:00", "updated_at": "2026-11-11 18:53:37.118476+00:00", "lang": "en", "topics": ["large-language-models", "ai-research", "generative-ai", "machine-learning", "natural-language-processing"], "entities": [], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/test-time-scaling-for-diffusion-language-models-with-frequency-aware-remasking", "markdown": "https://wpnews.pro/news/test-time-scaling-for-diffusion-language-models-with-frequency-aware-remasking.md", "text": "https://wpnews.pro/news/test-time-scaling-for-diffusion-language-models-with-frequency-aware-remasking.txt", "jsonld": "https://wpnews.pro/news/test-time-scaling-for-diffusion-language-models-with-frequency-aware-remasking.jsonld"}}