GitHub

LLM-Check: Investigating Detection of Hallucinations

This repository contains code for the implementation of our NeurIPS 2024 paper LLM-Check: Investigating Detection of Hallucinations in Large Language Models. We analyze hallucination detection within ...
Journal of Medical Internet Research

Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study

Among the open-source models tested, BART demonstrated the best performance in detecting DDEs, achieving an F1-score of 0.86, a false positive rate of 2.8%, and a false negative rate of 6.5%, all ...
GitHub

openLCA IPC Python Library

A comprehensive Python library for interacting with openLCA desktop application through the IPC (Inter-Process Communication) protocol. Built for life cycle ...
IEEE

CGAP: A Hybrid Contrastive and Graph-Based Active Learning Pipeline to Detect Water and Sediment in Multispectral Images

Abstract: In this article, we develop a contrastive graph-based active learning pipeline (CGAP) to identify surface water and near-water sediment pixels in multispectral images. The CGAP enhances the ...
IEEE

Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks

Abstract: The rapid expansion of Internet of Things (IoT) networks has significantly increased security vulnerabilities, exposing critical infrastructures to sophisticated cyberattacks. Traditional ...