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2 results for “classifier-free guidance”
SPIN Processed News Frame: The Hype
Commitment Before Realization: When Classifier-Free Guidance Becomes Unnecessary in Masked Diffusion Language Models
Researchers propose a method to dynamically deactivate classifier-free guidance (CFG) during masked diffusion language model decoding once a 'commitment horizon' is reached, improving efficiency without sacrificing constraint satisfaction across 13 subtasks.
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arXiv Computation and Language
Aug 11, 2026
SPIN Processed News Frame: The Hype
D2PO: Optimizing Diffusion Samplers via Dynamic Preference
D2PO is a new diffusion sampling optimization framework that reframes sampler training as a dynamic preference alignment problem to improve perceptual fidelity under low-NFE constraints.
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arXiv Machine Learning
Jul 10, 2026