A multi-agent LLM system with critic retries scores FAIR compliance of geospatial datasets at about five cents each, with 89% repeated-run agreement and 82% expert-label alignment in a small pilot.
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AgentFAIR: A Multi-Agent Collaborative Framework for FAIRness Evaluation of Geospatial Datasets
A multi-agent LLM system with critic retries scores FAIR compliance of geospatial datasets at about five cents each, with 89% repeated-run agreement and 82% expert-label alignment in a small pilot.