5 papers
SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes
Tianhui Liu, Jie Feng, Zhiheng Zheng +6
Humans can effortlessly perceive spatial layouts, form cognitive representations, reason about spatial relations, and translate such reasoning into actions in everyday 3D environme…
Urban mobility network centrality predicts social resilience
Lin Chen, Fengli Xu, Esteban Moro +3
Cities thrive on social interactions that foster well-being, innovation, and prosperity; yet, exogenous shocks such as pandemics, hurricanes, and wildfires can severely disrupt the…
Invisible Walls in Cities: Designing LLM Agent to Predict Urban Segregation Experience with Social Media Content
Bingbing Fan, Lin Chen, Songwei Li +4
Understanding experienced segregation in urban daily life is crucial for addressing societal inequalities and fostering inclusivity. The abundance of user-generated reviews on soci…
CityRiSE: Reasoning Urban Socio-Economic Status in Large Vision-Language Models via Reinforcement Learning
Tianhui Liu, Hetian Pang, Xin Zhang +3
Urban socio-economic sensing plays a vital role in advancing global sustainable development goals. With the advent of Large Vision-Language Models (LVLMs), new opportunities have e…
Simulating Generative Social Agents via Theory-Informed Workflow Design
Yuwei Yan, Jinghua Piao, Xiaochong Lan +3
Recent advances in large language models have demonstrated strong reasoning and role-playing capabilities, opening new opportunities for agent-based social simulations. However, mo…