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Time-Anchored Diffusion Language Models: Latent-Space Caching for Fast Generation
Recent work on anchored diffusion language models improves denoising by shaping an intermediate latent space with supervised important-token targets. In this work, we introduce time-based (self-supervised) anchoring, which learns and reuses latent anchors without requiring such targets. Our key obse
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