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: The recent rapid developments in generative-AI research has made it exceedingly hard to distinguish artificially generated audio-visual content from real ones. As a result, reliably ...
Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
Abstract: The need for advanced Speech Emotion Recognition (SER) systems has grown with the development of human-machine interaction technologies. This paper introduces a CNN model specifically ...
Abstract: Monitoring the environment, particularly air quality, is vital for protecting public health, ensuring safety, and effectively reducing pollution levels. However, using physical models often ...
Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
Abstract: Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches.
Abstract: The recognition of handwritten regional scripts remains a significant challenge in the domain of Optical Character Recognition (OCR), particularly for complex languages such as Telugu. This ...
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Every year, in the middle of summer, hundreds of Hong Kong construction workers and engineers walk up some 200 steps to Ching Lin Terrace in the seaside neighborhood of Kennedy Town. There, in one of ...
Abstract: Melon cultivation is significantly affected by various leaf diseases that hinder productivity and crop quality. Accurate identification of melon leaf conditions-such as healthy leaves, ...
(CNN) — The US Food and Drug Administration is urging nicotine pouch manufacturers to use child-resistant packaging on their products. This comes as a rise in nicotine pouch exposure cases has been ...