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Introduction Figure 1: Training loss vs. wall-clock time. EC reaches loss 3.75 in 10.6h, 2.
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Diffusion language models can achieve faster convergence and improved accuracy simply by swapping token-choice routing for expert-choice routing, and further benefit from allocating more compute to early denoising steps.
