The EFSUM method, proposed by Ko et al. in 2024, performs KG Fact Summarization and uses KG Helpfulness and Faithfulness Filters with GPT-3.5-Turbo, Flan-T5-XL, and Llama-2-7B-Chat models and dataset-inherent knowledge graphs (Freebase, Wikidata) for KGQA and Multi-hop QA, evaluated using Accuracy (Acc) on the WQSP and Mintaka datasets.

Authors

• Person: Not available Organization: arXiv
  Large Language Models Meet Knowledge Graphs for Question ...

Sources

• Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv via serper

Referenced by nodes (4)

• accuracy concept
• multi-hop knowledge base question answering concept
• Wikidata entity
• Freebase concept