The KG-Adapter method, proposed by Tian et al. in 2024, utilizes parameter-efficient fine-tuning and joint reasoning with Llama-2-7B-base and Zephyr-7B-alpha language models, incorporating ConceptNet and Freebase knowledge graphs to perform KGQA, MCQA, OBQA, and CWQ tasks on the OBQA, CSQA, WQSP, and CWQ datasets, evaluated using Acc and Hits@1 metrics.

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