Research3h ago
Apple Research Scales Categorical Flow Maps
Apple researchers developed Categorical Flow Maps to generate discrete data using continuous flow matching. This method enables faster sampling and tilting compared to standard autoregressive language models. By mapping Gaussian distributions to one-hot encoded data, the team achieves competitive sample quality. Practitioners can now explore non-autoregressive alternatives for efficient text generation.