3 papers
cs.SE2025
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…
cs.AI2024
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…
cs.CL2024
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…