Abstract: FER, or facial emotion recognition, is a core area in computer vision, whereby emotions are recognized and classified from facial expressions. Its applications lie in marketing, social ...
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: As deepfake technologies continue to evolve, proactive defense techniques have gained increasing attention for their potential to either neutralize deepfake operations or simplify detection ...