4 citations · 7 across the 3 of their papers we have counts for
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★ 3 cited
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★ 4 cited
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…