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Zengqing Wu

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#machine learning Preprint Oct 2026

MotiveMob: Motivation as Semantic Action for Closed-Loop Human Mobility Generation

Human mobility generation, an important task in urban research, synthesizes trajectory data for urban planning and transportation management. Human mobility can be characterized as a"why-where-when"decision process: people form an intention to move and then determine where and when the corresponding activity will take...

Meng-Kun Gao, Zeng-Qing Wu, Ren-He Jiang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

SIMLIFE: Pattern Understanding for Long-Horizon Human-Agent Partnership

SimLife is introduced, a scalable platform for simulating long-term household life with rich visual observations, ground-truth action logs, and synthetic dialogues with audio that evaluates long-context pattern understanding: the ability to infer latent behavioral rules from weeks or months of everyday observations.

Run Peng, Zinnia Nie, Jing Ding et al. · 0 citations
Preprint Aug 2026

Proxy reliance in large language model decisions is uncalibrated to predictive evidence

Large language models are entering decisions in triage and lending, where task-relevant inference must be distinguished from impermissible proxy use, and causal proxy effects in four LLMs on a clinical-ranking task with known ground truth are measured.

Zeng-Qing Wu, Chuan Xiao · 0 citations
#small language model Preprint Aug 2026

Predicting the scale limits of social mechanisms in agent societies

An audit is introduced that predicts a mechanism's fate as a population grows, asking how often the mechanism can act, whether agents use the information it supplies, and whether the measurement itself creates apparent scale effects.

Zeng-Qing Wu, Chuan Xiao · 0 citations

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