MEG and LLM-KGMQA enhance knowledge graph-based question answering by integrating graph embeddings from a pre-trained knowledge graph encoder into a large language model and using the model's reasoning capabilities to refine query interpretations.

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)

• MEG concept
• KBQA concept