Apple Scales Categorical Flow Maps for Language Modeling
Apple researchers present a method to scale categorical flow maps (CFMs) for language modeling. CFMs generate discrete data via continuous flow matching between Gaussian noise and one-hot encoded data, enabling accelerated sampling. The work demonstrates competitive performance, positioning continuous diffusion as a viable alternative to autoregressive LMs.
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