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cs.AI2026
TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation
Siyu Li, Toan Tran, Lingyi Zhao +2
Human mobility data is important for transportation, urban planning, and epidemic control, but large-scale trajectory collection is often costly and privacy-constrained, motivating…
cs.AI2026
NARA: Anchor-Conditioned Representation Learning for Heterogeneous Vector Geoentities
Jina Kim, Gengchen Mai, Lingyi Zhao +2
Vector geospatial data represent the world as discrete geoentities, such as roads, buildings, and points of interest, each with semantic attributes, geometry, and spatial relations…