Author

Songwei Liu

Zhejiang University

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Preprint Sep 2026

SelfLift: Accelerating Few-Step Diffusion via Self-Recovering Resolution Transition

SelfLift is introduced, a self-recovering progressive-resolution framework that derives both transition-repair signals and trajectory-aligned supervision from the generative model itself and reduces end-to-end latency across FLUX, establishing a stronger speed-quality frontier for few-step diffusion.

Ting-Yan Wen, Chen-Qian Yan, Xurui Peng et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Accelerating Unified Multimodal Models with Core-Expansion Routing and Unified Computation Scheduling

CE-Router is proposed, which uses a task-shared core scorer and progress-conditioned generation expansions, optimized through generation decomposition and cross-task core alignment, and retains 98.03% of dense understanding performance with a 1.93-to-end inference speedup.

Wengyi Zhan, Chen-Qian Yan, Songwei Liu et al. · 0 citations

#natural language process... Preprint Aug 2026

ReTrace: Rejected-Trajectory Conditioning for Speculative Decoding

ReTrace is introduced, a rejected-trajectory conditioning method that conditions each draft block on the rejected suffix from the previous round rather than generating it from fresh mask placeholders alone, indicating that the draft model can retain useful semantic and structural information despite local token-level e...

Luxi Lin, Zhan-Peng Zeng, Shuang Peng et al. · 2 citations