4 citations · 11 across the 4 of their papers we have counts for
4 papers
GeoJSON Agents:A Multi-Agent LLM Architecture for Geospatial Analysis-Function Calling vs Code Generation
Qianqian Luo, Qingming Lin, Liuchang Xu +6
Large Language Models (LLMs) have demonstrated substantial progress in task automation and natural language understanding. However, without domain expertise in geographic informati…
ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing
Qingming Lin, Rui Hu, Huaxia Li +6
Vector data is one of the two core data structures in geographic information science (GIS), essential for accurately storing and representing geospatial information. Shapefile, the…
From Geometric Mimicry to Comprehensive Generation: A Context-Informed Multimodal Diffusion Model for Urban Morphology Synthesis
Fangshuo Zhou, Huaxia Li, Liuchang Xu +5
Urban morphology is fundamental to determining urban functionality and vitality. Prevailing simulation methods, however, often oversimplify morphological generation as a geometric…
Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study
Liuchang Xu, Shuo Zhao, Qingming Lin +6
The emergence of large language models such as ChatGPT, Gemini, and others highlights the importance of evaluating their diverse capabilities, ranging from natural language underst…