Author

Jia-Zhen Liu

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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

Better, Stronger, Faster, and Broader: Structured All-Mask Prediction for MLLM-Based Segmentation

STAMPlus resolves the trilemma beyond single-target prediction, decoupling autoregressive dialogue from non-autoregressive mask prediction and achieves state-of-the-art segmentation performance, preserves general multimodal instruction following, and reduces 12-category latency.

Jia-Zhen Liu, Mingkuan Feng, Long Chen · 0 citations

Preprint Aug 2026

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors

GeoFlow is a novel framework designed to achieve efficient driving video generation by harnessing explicit geometric priors, using a Geometry-Aligned Prior (GAP) distribution as starting point, and can achieve remarkable efficiency of both training and inference.

Jia-Zhen Liu, Hangbiao Li, J. Zhang et al. · 0 citations