Apple Introduces Probe Guidance for Diffusion Language Models
Apple researchers introduced probe guidance, a method that uses frozen internal states of an existing diffusion model to construct a guidance signal. It works like autoguidance but removes the need for an extra forward pass at inference. Benchmarked on continuous diffusion language models, it sets a new state-of-the-art on unconditional generation.
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