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Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language Models
Diffusion large language models (dLLMs) re-encode the entire prefix at every denoising step, causing recomputation that scales quadratically with context length and becomes prohibitive for long-context scenarios. We propose Prefilling-dLLM, a training-free prefill-decode disaggregation framework
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