The KELDaR method, proposed by Li et al. in 2024, employs a question decomposition tree and atomic knowledge graph retrieval using GPT-3.5-Turbo and GPT-4-Turbo models to perform KGQA and multi-hop QA tasks, evaluated using the EM metric on WQSP and CWQ 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 (2)

• multi-hop knowledge base question answering concept
• ComplexWebQuestions concept