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

Compression-Based Complexity Analysis of Thalamic EEG Using Multiscale Preprocessing Techniques

Abstract: Quantifying the complexity of biomedical signals offers critical insight into underlying physiological and pathological dynamics. This study systematically evaluates compression-based ...
GitHub

A methodology to pre-process text data for preventing lookahead bias in Large Language Models (LLMs), particularly in financial text analysis.

Entity Neutering is a text preprocessing technique designed to anonymize financial documents and news articles to prevent LLMs from using prior knowledge about specific companies, industries, or time ...
IEEE

A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing

Abstract: As the global population ages, the prevalence of dementia is expected to surge, necessitating innovative solutions to support the growing number of affected individuals. This research shows ...