data-intensive tasks 1graph-based dataset management 1LLM agents 1multi-agent systems 1urban data analysis 1
From the 1 of 7 linked papers with an AI index.
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cs.AI2026
UrbanDS: A Graph-Guided LLM Multi-Agent System for Data-Intensive Urban Tasks
Zhilun Zhou, Jianghao Yu, Yuming Lin +4
The paper presents UrbanDS, a graph-guided multi-agent system that uses large language models to organize heterogeneous urban datasets in a unified graph and coordinate specialized…
cs.AI2025
CityGPT: Empowering Urban Spatial Cognition of Large Language Models
Jie Feng, Tianhui Liu, Yuwei Du +3
Large language models(LLMs), with their powerful language generation and reasoning capabilities, have already achieved notable success in many domains, e.g., math and code generati…
cs.AI2025
A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science
Jie Feng, Jinwei Zeng, Qingyue Long +15
Over the past year, the development of large language models (LLMs) has brought spatial intelligence into focus, with much attention on vision-based embodied intelligence. However,…