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Researchers introduce Next-Concept Modeling, a two-stage framework that generates text in parallel. At matched parameter scales, the system achieves better perplexity than the strongest diffusion baseline on LM1B while running 21 times faster. It also matches diffusion performance on XSum while being 31 times faster. The team reports these results on arXiv.
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