2 papers
cs.AI2026
UrbanDS: A Graph-Guided LLM Multi-Agent System for Data-Intensive Urban Tasks
Zhilun Zhou, Jianghao Yu, Yuming Lin +4
Large language model (LLM) agents have been widely applied in automating data science tasks. However, existing methods typically rely on a limited set of provided datasets, and the…
cs.MA2026
CoRenew: A large language model agent-based policy simulation platform for multifamily residential redevelopment
Yudi Zhang, Yuming Lin, Li Tian +2
The difficulty of collective action remains a central challenge in the design of policies for multifamily residential redevelopment. Stakeholders continually adjust their decisions…