Unlocking the Power of LLM-Based Question Answering Systems: Enhancing Reasoning, Insight, and Automation with Knowledge Graphs

Author:

Koohborfardhaghighi Somayeh,De Geyter Gert,Kaliner Evan

Publisher

Springer Nature Switzerland

Reference34 articles.

1. Badea, C., Gilpin, L.: Establishing meta-decision-making for AI: an ontology of relevance, representation and reasoning. arXiv preprint arXiv:2210.00608 (2022)

2. Kutiyanawala, A., Verma, P.: Towards a simplified ontology for better e-commerce search. arXiv preprint arXiv:1807.02039 (2018)

3. Caufield, J.H., et al.: Structured prompt interrogation and recursive extraction of semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. arXiv preprint arXiv:2304.02711 (2023)

4. Dong, X.L.: Generations of knowledge graphs: the crazy ideas and the business impact. arXiv preprint arXiv:2308.14217 (2023)

5. Liu, J., et al.: Generated knowledge prompting for commonsense reasoning. arXiv preprint arXiv:2110.08387 (2021)

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