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#artificial intelligence Preprint Oct 2026

Mind the Spatial Gap: A Benchmark for Geospatial Reasoning and Constrained Spatial Editing

Understanding and manipulating spatial relations is fundamental to AI systems that reason about physical environments and construct grounded world models. However, existing evaluations of multimodal large language models (MLLMs) for spatial reasoning rely predominantly on static question-answering (QA) over small-scale...

Zheng Ren, Yan-Ning Wang, Zi-Heng Huang et al. · 0 citations
Aug 2026

SGAP-Place: A Social Semantics-Augmented Representation Learning Framework for Urban Places

SGAP-Place provides an approach for incorporating higher-order social meanings into place representation and indicates that social semantics can serve as an explicit and useful information layer in place representation.

Jin Zeng, Yu-Yi Cai, Yang Yue et al. · 0 citations

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