A simple recipe for language generation with continuous flow models over one-hot tokens
alec_helbling · x · 2026-09-18
The author summarizes a growing line of work applying continuous flow models to discrete problems like language generation: represent vocabulary items as one-hot vectors, learn a flow in the continuous space, then decode at simplex corners — enabling few-step, even one-step, high-quality generation.
Related event: Flow Map Language Models: One-Step Generation Beats Multi-Step Diffusion(2 posts)→
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