UQLM: A Python Package for Uncertainty Quantification in Large Language Models

Summary

UQLM is a Python package for detecting hallucinations in Large Language Models using uncertainty quantification (UQ) techniques. It provides a suite of UQ-based scorers that produce response-level confidence scores from 0 to 1, offered as an off-the-shelf library that can be integrated to improve the reliability of LLM outputs.