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UrbanDS: A Graph-Guided LLM Multi-Agent System for Data-Intensive Urban Tasks

Zhou, Zhilun et al.
arXiv (All) · Papers
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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 they face challenges in data-intensive scenarios that require discovering and leveraging relevant information from large-sc
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