8 papers
CityReal: Human-Aligned Urban Behavior and City Dynamics Simulation with Large-Scale LLM Agents
Nicolas Bougie, Xiaotong Ye, Narimasa Watanabe
Large-scale urban simulation plays a pivotal role in social science, traffic safety, and transportation policy. Recent work has shown that large language models, when prompted as a…
PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation
Nicolas Bougie, Xiaotong Ye, Gian Maria Marconi +1
User interface (UI) and user experience (UX) evaluation is central to product development, yet reliable feedback still relies on recruiting human participants or running online A/B…
Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation
Nicolas Bougie, Gian Maria Marconi, Xiaotong Ye +1
Recommender systems are central to online services, enabling users to navigate through massive amounts of content across various domains. However, their evaluation remains challeng…
MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation
Xiaotong Ye, Nicolas Bougie, Toshihiko Yamasaki +1
Generative agents offer promising capabilities for simulating realistic urban behaviors. However, existing methods oversimplify transportation choices, rely heavily on static agent…
AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation
Nicolas Bougie, Gian Maria Marconi, Tony Yip +1
Evaluating recommender systems remains challenging due to the gap between offline metrics and real user behavior, as well as the scarcity of interaction data. Recent work explores…
CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation
Nicolas Bougie, Narimasa Watanabe
Modeling human behavior in urban environments is fundamental for social science, behavioral studies, and urban planning. Prior work often rely on rigid, hand-crafted rules, limitin…