Comparison
10 contributions
Exploring Interpretability of Knowledge Graph-enhanced Large Language Models
The large language model (LLM) interpretability indicates to the explanation and understanding of the internal workings and decision-making tasks of a large language model. Knowledge Graphs are utilizing to improve the interpretability of Large Language Models. This comparisons explores 10 models to check different parameters.
Comparison update
ORKG Comparisons have changed. We have added new features and improved the user interface. Comparisons might look slightly different, but the comparison data itself remains unchanged.References
- Danilevsky, M., Qian, K., Aharonov, R., Katsis, Y., Kawas, B., & Sen, P. (2020). A survey of the state of explainable AI for natural language processing. arXiv preprint arXiv:2010.00711.
- Unifying Large Language Models and Knowledge Graphs: A Roadmap