I just came across Next-Concept Modeling and the idea is fascinating[R]

Overview

I've been learning how language models work, especially next-token prediction, and came across this paper on Next-Concept Modeling (NCM). The interesting part is how it generates text. Instead of predicting tokens one by one, NCM learns a hierarchy of discrete codes. It generates the coarse level first, then predicts the codes at each finer level in parallel. A decoder finally converts those representations into text. The researchers report up to 31x faster generation compared with diffusion

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