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cs.AI2026
STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning
Ruiyi Yang, Lihuan Li, Hao Xue +1
Compositional spatiotemporal reasoning often requires a system to invoke multiple heterogeneous specialists, such as geometric, temporal, topological, and trajectory agents. A cent…
cs.AI2026
TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding
Lihuan Li, Wilson Wongso, Baiyu Chen +6
Urban mobility is naturally expressed both as trajectories in space and as natural-language descriptions of travel intent, constraints, and preferences. However, prior work rarely…