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Fixed-point convergence enables adaptive computation in reasoning tasks, allowing models to efficiently tackle complex challenges without unnecessary resource expenditure.
Low-Pass Flow Matching reduces sampling costs while enhancing image quality by aligning flow matching with the natural frequency decay of data.
