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A Step in the Right Place: Understanding and Optimizing Timestep Placement in Continuous Diffusion Language Models
Continuous diffusion language models represent an emerging paradigm for language modeling. They generate text in parallel by iteratively refining continuous representations and mapping them back to tokens through a decoder. However, realizing the efficiency advantage of parallel generation requires
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