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

Automatic Object Detection-and-Counting Method Using Single-Shot Self-Supervised Learning and 3D Sensing in Resource-Limited Environments

Abstract: Custom object detection systems are essential for meeting the specialized requirements of diverse applications, including manufacturing and biomedical engineering. Conventional deep-learning ...