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Achieving fleet-wide localization accuracy without sharing sensitive position data could redefine privacy standards in multi-robot systems.
ExtractConf reduces selective prediction risk by 70% over traditional log-probability methods, transforming how we assess trustworthiness in LLM-driven document processing.
