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GeoAI assistants remain unproductive because they lack a crucial agency layer for iterative human-AI collaboration, a gap this paper addresses with nine core primitives.
LLMs can get a 12% performance boost in low-resource languages by using a new framework that tailors data refinement, synthetic text generation, and continual pretraining to each language's digital footprint.
