The KBIGER method, proposed by Du et al. in 2022, uses iterative instruction reasoning with an LSTM-based pre-trained model and dataset-inherent knowledge graphs or Freebase to perform multi-hop KBQA tasks, evaluated using Hits@1 and F1 metrics on WQSP, CWQ, and GrailQA 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)

• ComplexWebQuestions concept
• Freebase concept