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20242026
most citedEvaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

AxiomOcean: Forecasting the Three-Dimensional Structure of the Upper Ocean

Sensen Wu, Yifan Chen, Guantao Pu +9

Short-term ocean forecast skill depends strongly on the three-dimensional ocean structure of the upper ocean, which governs stratification, subsurface heat storage, and the respons…

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…

physics.geo-ph2024

Mitigating Interpretation Bias in Rock Records with Large Language Models: Insights from Paleoenvironmental Analysis

Luoqi Wang, Haipeng Li, Linshu Hu +2

The reconstruction of Earth's history faces significant challenges due to the nonunique interpretations often derived from rock records. The problem has long been recognized but th…