5 papers
Intent Speaks Louder: Controllable User Simulation Beyond Response Imitation
Bo Wang, Ruixing Zhang, Yunqi Liu +4
User simulators are widely used as scalable environments for training and evaluating interactive assistants. Generating the next user turn is inherently one-to-many: the same profi…
Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary
Xinshun Feng, Mingzhe Liu, Yi Qiao +3
Recent advances in explainable recommendations have explored the integration of language models to analyze natural language rationales for user-item interactions. Despite their pot…
JiuTian Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
Liangzhe Han, Leilei Sun, Tongyu Zhu +3
As a window for urban sensing, human mobility contains rich spatiotemporal information that reflects both residents' behavior preferences and the functions of urban areas. The anal…
Urban In-Context Learning: Bridging Pretraining and Inference through Masked Diffusion for Urban Profiling
Ruixing Zhang, Bo Wang, Tongyu Zhu +2
Urban profiling aims to predict urban profiles in unknown regions and plays a critical role in economic and social censuses. Existing approaches typically follow a two-stage paradi…
Eyes Will Shut: A Vision-Based Next GPS Location Prediction Model by Reinforcement Learning from Visual Map Feed Back
Ruixing Zhang, Yang Zhang, Tongyu Zhu +2
Next Location Prediction is a fundamental task in the study of human mobility, with wide-ranging applications in transportation planning, urban governance, and epidemic forecasting…