Nicholas Richardson

GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework

Methods to evaluate Large Language Model (LLM) responses and detect inconsistencies, also known as hallucinations, with respect to the provided knowledge, are becoming increasingly important for...

SRMD: Sparse Random Mode Decomposition

Signal decomposition and multiscale signal analysis provide many useful tools for time-frequency analysis. We proposed a random feature method for analyzing time-series data by constructing a...

Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data

In this paper, we propose an adaptive group Lasso deep neural network for high-dimensional function approximation where input data are generated from a dynamical system and the target function...

Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning

GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework