Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration
Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration explores Develop a self-evaluation tool for diffusion language models to enhance generation quality assessment through token regeneration probabilities.. Commercial viability score: 4/10 in Language Models.
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