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Lin-Ye Wei

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#natural language process... Preprint Oct 2026

A Step in the Right Place: Understanding and Optimizing Timestep Placement in Continuous Diffusion Language Models

It is demonstrated that changing timestep placement alone can substantially alter the final latent representations and thereby affect the decoded token distributions and establish timestep placement as a practical means of improving the quality-efficiency trade-off in continuous diffusion language models.

Shu-Tian Zheng, Zhi-Hong Yu, Lin-Ye Wei et al. · 0 citations
#natural language process... Preprint Sep 2026

Reciprocal Guidance: Orchestrating Draft and Verify Budgets for Advancing the Diffusion-AR Self-Speculation Frontier

Reciprocal Guidance is introduced, a runtime draft-verify orchestration framework that adapts speculative decoding to varying serving loads and exploits spare compute capacity through verification-overlapped drafting at low concurrency, while dynamically allocating request-specific draft block sizes as the workload bec...

Lin-Ye Wei, Shu-Tian Zheng, Hao-Yu Zeng et al. · 0 citations

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