2 citations · 2 across the 5 of their papers we have counts for
12 papers
Learning Dynamic Belief Graphs for Theory-of-mind Reasoning
Ruxiao Chen, Xilei Zhao, Thomas J. Cova +2
Theory of Mind (ToM) reasoning with Large Language Models (LLMs) requires inferring how people's implicit, evolving beliefs shape what they seek and how they act under uncertainty…
From Image Generation to Infrastructure Design: a Multi-agent Pipeline for Street Design Generation
Chenguang Wang, Xiang Yan, Yilong Dai +2
Realistic visual renderings of street-design scenarios are essential for public engagement in active transportation planning. Traditional approaches are labor-intensive, hindering…
Multi-Task Anti-Causal Learning for Reconstructing Urban Events from Residents' Reports
Liangkai Zhou, Susu Xu, Shuqi Zhong +1
Many real-world machine learning tasks are anti-causal: they require inferring latent causes from observed effects. In practice, we often face multiple related tasks where part of…
Persona-aware and Explainable Bikeability Assessment: A Vision-Language Model Approach
Yilong Dai, Ziyi Wang, Chenguang Wang +4
Bikeability assessment is essential for advancing sustainable urban transportation and creating cyclist-friendly cities, and it requires incorporating users' perceptions of safety…
Wildfire Evacuation Analysis Using Facebook Data: Evidence from Palisades and Eaton Fires
Shangkun Jiang, Ruggiero Lovreglio, Thomas J. Cova +3
The growing frequency and intensity of wildfires pose serious threats to communities in wildland-urban interface regions. Understanding evacuation behavior is critical for effectiv…
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
Ruxiao Chen, Chenguang Wang, Yuran Sun +2
Evacuation decision prediction is critical for efficient and effective wildfire response by helping emergency management anticipate traffic congestion and bottlenecks, allocate res…