GeoJSEval: An Automated Evaluation Framework for Large Language Models on JavaScript-Based Geospatial Computation and Visualization Code Generation

With the widespread adoption of large language models (LLMs) in code generation tasks, geospatial code generation has emerged as a critical frontier in the integration of artificial intelligence and geoscientific analysis. This growing trend underscores the urgent need for systematic evaluation meth...

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Auteurs principaux:	Guanyu Chen, Haoyue Jiao, Shuyang Hou, Ziqi Liu, Lutong Xie, Shaowen Wu, Huayi Wu, Xuefeng Guan, Zhipeng Gui
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-09-01
Collection:	ISPRS International Journal of Geo-Information
Sujets:	geospatial code generation large language models JavaScript automated evaluation unit test benchmark
Accès en ligne:	https://www.mdpi.com/2220-9964/14/10/382
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