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Yang Lu

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Book Open access Nov 2026

Multi-Task Dense Prediction with Mixture of Unit-Rank Experts

Multi-task dense prediction has recently achieved significant performance gains but remains challenging in learning fine-grained and discriminative task-specific representations. In this paper, we propose a novel decoder-focused Mixture of Unit-Rank Experts (MURE) for multi-task dense prediction. Inspired by the subspa...

Hao Xu, Zhen-Chun Wei, Zheng Wang et al. · 0 citations
Conference Open access Sep 2026

GeoMind: Explicit Spatial Reasoning via Dual-Reference Geometric Modeling

GeoMind, a model-then-reason framework that employs a single LLM to autoregressively generate an explicit Geometric Description Language (GDL) map, serving as a grounded context to derive the final answer, suggests that explicit geometric grounding enables robust spatial reasoning without human annotation.

Xing Wei, Ao-Xiang Tian, Shaofan Liu et al. · 0 citations

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