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20232026
most citedFuture-proofing geotechnics workflows: accelerating problem-solving with large language models

4 citations · 8 across the 12 of their papers we have counts for

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cs.SE2025★ 1 cited

AutoGEEval++: A Multi-Level and Multi-Geospatial-Modality Automated Evaluation Framework for Large Language Models in Geospatial Code Generation on Google Earth Engine

Shuyang Hou, Zhangxiao Shen, Huayi Wu +10

Geospatial code generation is becoming a key frontier in integrating artificial intelligence with geo-scientific analysis, yet standardised automated evaluation tools for this task…