Author

Xiang-Wen Xia

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Preprint Aug 2026

DAVET: Denoising-Aware Visual Evidence Trajectory Allocation for Diffusion Vision-Language Models

Denoising-Aware Visual Evidence Trajectory Allocation (DAVET), a training-free framework that allocates visual evidence according to the evolving generation state, achieves an average speedup of 1.55 times with an average relative performance drop of 1.86%, showing that denoising-aware visual evidence allocation can re...

Yongkang Zhou, Xiang-Wen Xia, Cheng Yan et al. · 0 citations

Preprint Aug 2026

REFLEX: Rethinking MoE Inference as Refinement-Aware Compute Allocation in Diffusion Language Models

REFLEX is proposed, a training-free method that keeps the default router unchanged while reorganizing expert computation around the evolving refinement process, and introduces a coarse-to-fine hierarchy for expert-budget allocation that aligns computation with block-relative refinement roles while using the Frontier-Pr...

Xiang-Wen Xia, Chen Yan, Yiming Zhang et al. · 0 citations

Preprint Aug 2026

Beyond Global Routing Aggregation: Phase-Aware Expert Merging for MoE Vision-Language Models

RoleMerge, a training-free method that constructs each expert's Routing Role Profile (RRP) from phase-normalized routing statistics, capturing its relative phase preference, is proposed, and results validate phase-conditioned expert roles as a more effective basis than global routing aggregation for MoE-VLM expert merg...

Hong-Yu Zhang, Cheng Yan, Xiang-Wen Xia et al. · 1 citation