UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: Efficient management of resources such as CPU, RAM, and disk storage is a critical challenge for object detection systems that rely on multi-camera video streaming, especially for ...
Abstract: Pedestrian dead reckoning (PDR) based on smartphones plays an important role in indoor positioning, activity recognition, and health management. However, existing PDR methods generally ...
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