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Could hierarchical latent representations be a practical alternative to next-token generation?

Been looking into Next-Concept Modeling (NCM). The approach has two main stages: A multiscale VQ-VAE learns coarse-to-fine representations of text. A transformer predicts each level of discrete codes in parallel, conditioned on previous levels. Once the hierarchy is complete, a decoder reconstructs…

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  1. 2026-10-23 07:29 · r/deeplearning
    Could hierarchical latent representations be a practical alternative to next-token generation?

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