Abstract: Rapid detection and diagnosis of respiratory illnesses like COVID-19 and pneumonia are crucial for controlling outbreaks and managing public health resources. This paper presents a novel ...
Abstract: Automatic detection and prevention of open-set failures are crucial in closed-loop robotic systems. Recent studies often struggle to simultaneously identify unexpected failures reactively ...
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 ...
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