The SR method, proposed by Zhang et al. in 2022, utilizes a trainable subgraph retriever and fine-tuning with the RoBERTa-base language model and dataset-inherent knowledge graphs to perform KBQA tasks, evaluated using Hits@1 and F1 metrics 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)

• ComplexWebQuestions concept
• KBQA concept