Finetuning PLM-based KGE models is generally costly and requires large amounts of annotated data, whereas prompting is more cost-effective but introduces privacy-related risks.

Authors

• Person: Not available Organization: Frontiers
  Combining large language models with enterprise knowledge graphs

Sources

• Combining large language models with enterprise knowledge graphs www.frontiersin.org Frontiers via serper

Referenced by nodes (2)

• knowledge graph embeddings concept
• pre-trained language models concept