Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
Toward AI-Friendly Cartography: Understanding How Color Design Influences Foundation Model Spatial Reasoning on Sequential Choropleth Maps
Yonghe Sun, Zhenjia Liu, Hua Liao +4
Foundation models (FMs) increasingly support multimodal and geospatial reasoning, yet it remains unclear whether cartographic principles designed for human perception are equally e…
cs.AI2026
Do Maps Still Matter for Machines: Revisiting the Role of Choropleth Maps in Foundation Model Spatial Understanding
Zhiwei Wei, Yonghe Sun, Zhenjia Liu +5
Spatial understanding is crucial for foundation models (FMs), and maps have long helped humans organize and reason about geographic information. This study examines whether choropl…
cs.AI2026
Thinking on Maps: How Foundation Model Agents Explore, Remember, and Reason Map Environments
Zhiwei Wei, Yuxing Liu, Hua Liao +1
Map environments provide a fundamental medium for representing spatial structure. Understanding how foundation model (FM) agents understand and act in such environments is therefor…