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How to Guide Your Language Flow

Apple Machine Learning Research · article · Sep 23, 2026 · UTC

We introduce a new method to guide flow matching models. Our approach, which we call probe guidance, uses the frozen internal states of an existing diffusion model to construct a guidance signal. This works using a similar principle as autoguidance, but eliminates the need for an additional forward pass at inference time and provides a reliable path to ensure that the weak and strong model share similar dynamics. We apply and benchmark this method on continuous diffusion language models, where probe guidance sets a new state-of-the-art performance on unconditional generation. When applied to a

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Evidence & attribution

First collected: 2026-09-23T23:22:23.312Z. This is not the publication date.