GitHub

uqlm: Uncertainty Quantification for Language Models

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 ...
IEEE

Detection of Drones using Acoustic Signals and Machine Learning

Abstract: Drone detection using radar is popular. Diffraction effect of the signal is the main challenge in radar-based detection. An alternative approach to address the diffraction effect is acoustic ...
IEEE

Predictive Analytics in Mental Health: Machine Learning Models for Major Depressive ...

Abstract: The recent integration of Machine Learning (ML) and sensor technologies in healthcare, particularly for diagnosing Major Depressive Disorder (MDD), has paved the way for advanced predictive ...