DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models
DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models explores Dependency-Oriented Sampler enhances masked diffusion language models by leveraging inter-token dependencies for improved generation efficiency.. Commercial viability score: 7/10 in NLP.
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