A structured prompting pipeline with five stages, a shared information pool, retrieval from geospatial knowledge bases, and iterative debugging improves LLM-generated geospatial code on a self-built benchmark.
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Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation
A structured prompting pipeline with five stages, a shared information pool, retrieval from geospatial knowledge bases, and iterative debugging improves LLM-generated geospatial code on a self-built benchmark.