KG-FIT (Jiang P. et al., 2024) and GraphEval (Sansford et al., 2024) are modular frameworks that inject knowledge graph-derived signals during fine-tuning or evaluation to make large language models more robust, verifiable, and explainable in knowledge-intensive tasks.

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
• GraphEval concept