The Oreo method, proposed by Hu et al. in 2022, uses knowledge interaction, injection, and knowledge graph random walks with RoBERTA-base and T5-base models to perform CBQA, OBQA, and multi-hop QA tasks, evaluated using accuracy on NQ, WQ, WQSP, TriviaQA, CWQ, and HotpotQA 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 (3)

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