Abstract: Shoplifting is a major concern for retailers, leading to substantial financial losses worldwide. Traditional surveillance methods rely on manual monitoring ...
Abstract: Detecting distant small objects under adverse visual conditions such as rain, fog, or low light remains a critical challenge in autonomous driving. To address this issue, we propose a novel ...
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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