code and data for a study on enhancing knowledge graph consistency through LLMs
This repository has the code and data used to support the results of a paper in the 2024 AAAI Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE).
Ankur Padia, Frank Ferraro, and Tim Finin, Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study, AAAI-MAKE: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge, AAAI Spring Symposia, March 2024.