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cs.AI2026
Mobility Anomaly Generation using LLM-Driven Behavior with Kinematic Constraints
Yueyang Liu, Joon-Seok Kim, Andreas Züfle
Although the study of human trajectory anomalies is critical for advancing spatial data mining, empirical research remains severely hindered by a pervasive lack of ground-truth dat…
cs.AI2026
An Infectious Disease Spread Simulation Based on Large Language Model Decision Making
Yonchanok Khaokaew, Ruochen Kong, Andreas Zufle +6
Modelling individual decision-making during infectious disease outbreaks is crucial for understanding behavioural dynamics and informing effective public health interventions. Prio…