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 ...
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 ...
A comprehensive Python library for interacting with openLCA desktop application through the IPC (Inter-Process Communication) protocol. Built for life cycle ...
Graph Deep Reinforcement Learning for Multi-Cycle Queuing and Scheduling in Deterministic Networking
Abstract: Deterministic networking (DetNet) offers guaranteed transmission services for critical real-time applications, such as industrial automation and intelligent transport systems. It is ...
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 ...
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