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Prefilling-dLLM v2: Learned Chunk Routing for Long-Context Diffusion Language Models
Diffusion language models apply bidirectional attention over the whole context at every denoising step, so a longer context makes each step substantially more expensive. Sparsifying only at inference leaves the pretrained weights unchanged, so the model is never trained under the sparse pattern it r
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