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Simple Diffusion Language Models Are More Effective Few-Step Generators Than Reported

Amin, Hasan et al.
arXiv (All) · Papers
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computation-and-language
Diffusion language models (DLMs) promise fast parallel generation, yet high-quality samples often require large number of refinement steps, which diminishes their advantage in practice. This has led to massive interest in and rapid development of new methods for effective few-step generation. We sho
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