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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

MLLM-based segmentation faces a core segmentation trilemma: high segmentation performance, preserved dialogue ability, and fast inference. Embedding-prediction methods may disrupt language modeling through pixel-level objectives, whereas next-token generation is inefficient for dense masks. We propose All-Mask Predicti...

Jiazhen 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

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