Knowledge graphs may contain fuzzy or incomplete data, such as entities with inconsistent attributes, while Large Language Models provide context-sensitive knowledge that varies based on training corpora and model architecture, leading to potential contradictions in reasoning paths or question-answering tasks as cited by Zhang X. et al. (2022).

Authors

• Person: Not available Organization: Frontiers
  Practices, opportunities and challenges in the fusion of knowledge ...

Sources

• Practices, opportunities and challenges in the fusion of knowledge ... www.frontiersin.org Frontiers via serper

Referenced by nodes (2)

• Large Language Models concept
• knowledge graphs concept