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Ge-Ge Zhang

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#artificial intelligence Preprint Sep 2026

Geometry-Aware Test-Time Learning for Quantitative Spatial Reasoning

Quantitative spatial reasoning in visual-language models (VLMs) aims to infer spatial distances and directional relationships among objects in 3D space from a 2D image and a natural language query. Despite recent progress, VLM spatial reasoning remains brittle under distribution shifts, largely due to the high cost of...

Ge-Ge Zhang, Shuai-Cheng Niu, Gang Dai et al. · 0 citations