jonathan-roberts1/GPT4GEO
Accompanying repo for NeurIPSW'23: GPT4GEO: How a Language Model Sees the World's Geography
This project explores how a large language model like GPT-4 understands geography without internet access. It takes natural language questions about places, distances, routes, and demographics, and outputs structured information such as coordinates, travel plans, or population figures. Geographers, urban planners, logistics managers, and travel professionals can use this to understand a model's inherent geographic knowledge.
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Use this if you are interested in the baseline geographic knowledge and reasoning capabilities of large language models for tasks like route planning, demographic queries, or mapping.
Not ideal if you require real-time, up-to-the-minute geographical data or need to incorporate external, live data sources for your analysis.
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May 24, 2025
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