most citedFoundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations

32 citations · 32 across the 1 of their papers we have counts for

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1 paper

cs.CL2025★ 32 cited

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations

Yuhan Ji, Song Gao, Ying Nie +2

Applying AI foundation models directly to geospatial datasets remains challenging due to their limited ability to represent and reason with geographical entities, specifically vect…