AI RESEARCH
DSB: Dynamic Sliding Block Scheduling for Diffusion LLMs
arXiv CS.CL
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ArXi:2602.05992v2 Announce Type: replace Diffusion large language models (dLLMs) have emerged as a promising alternative for text generation, distinguished by their native for parallel decoding. In practice, block inference is crucial for avoiding order misalignment in global bidirectional decoding and improving output quality.