Next-Concept Modeling: Efficient Parallel Text Generation Using Coarse-to-Fine Framework

Next-Concept Modeling (NCM) introduces a two-stage coarse-to-fine framework for text generation using multiscale residual VQ-VAE and parallel transformer decoding, achieving 10-31x speed improvements over diffusion and autoregressive models while maintaining competitive perplexity and ROUGE-L scores. The approach addresses limitations of diffusion language models through hierarchical discrete code encoding and parallel sequence generation.

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