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News/TeCoP: Accelerating Diffusion Large Language Model Decoding via Tentative Context Pipelining
arxiv
PublishedOctober 21, 2026 at 4:00 AM

TeCoP: Accelerating Diffusion Large Language Model Decoding via Tentative Context Pipelining

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arXiv:2610.27583v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) predict multiple token positions per forward pass, yet block-wise decoders serialize generation and repeatedly recompute stable predictions. We attribute this inefficiency to coupling a prediction's readiness for

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