arXiv (OAI Expanded)
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Temporal Self-Distillation: Faster Inference in Discrete Diffusion Language Models
Diffusion language models (dLLMs) promise fast inference by generating multiple tokens in parallel, but suffer severe performance degradation when parallel decoding is pushed too aggressively. We introduce Temporal Self-Distillation (TSD), a simple on-policy method that trains dLLMs for fast inferen
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