{"slug": "representation-space-mmd-for-diffusion-language-models", "title": "Representation-Space MMD for Diffusion Language Models", "summary": "Researchers introduced a post-training method for diffusion language models (DLMs) that minimizes Maximum Mean Discrepancy (MMD) between generated and reference distributions in the feature space of a frozen pretrained DLM. The method estimates MMD by retaining contextual features at individual token positions.", "body_md": "We introduce a post-training method for diffusion language models (DLMs) that minimizes Maximum Mean Discrepancy (MMD) between generated and reference distributions in the feature space of a frozen pretrained DLM. To estimate MMD, we retain contextual features at individual token positions, obtainin", "url": "https://wpnews.pro/news/representation-space-mmd-for-diffusion-language-models", "canonical_source": "https://aiflash.com/news/131805/", "published_at": "2026-10-06 07:00:00+00:00", "updated_at": "2026-10-06 07:17:37.371346+00:00", "lang": "en", "topics": ["large-language-models", "machine-learning", "ai-research", "natural-language-processing"], "entities": [], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/representation-space-mmd-for-diffusion-language-models", "markdown": "https://wpnews.pro/news/representation-space-mmd-for-diffusion-language-models.md", "text": "https://wpnews.pro/news/representation-space-mmd-for-diffusion-language-models.txt", "jsonld": "https://wpnews.pro/news/representation-space-mmd-for-diffusion-language-models.jsonld"}}