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Model Architecture

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Wednesday, 16 September 2026

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation

Apple Machine Learning Research 1 month ago 37

Discrete flow matching for text generation replaces noise tokens with language via many iterative forward passes, but distillation can train a student to follow a similar multi-step trajectory in far fewer steps. The approach targets the fact that the method can require hundreds of forward passes in the baseline process. It argues the trajectory quality—not the student’s capacity—is the bottleneck, since early low-quality decisions can propagate through later steps during training.

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