Comparison
7 contributions
Comparison on Large Language Model augmented Knowledge Graph Query Answering
Knowledge graph question answering (KGQA) providing answers to natural language questions based on the structured information stored in knowledge graphs. Recently, studies are adopting LLMs to bridge the gap between natural language questions and structured knowledge graphs. This comparison will explore the models for Knowledge Graph Query Answering.
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
- Pan, S., Luo, L., Wang, Y., Chen, C., Wang, J., & Wu, X. (2023). Unifying Large Language Models and Knowledge Graphs: A Roadmap. arXiv preprint arXiv:2306.08302