The KG-CoT method, proposed by Zhao et al. in 2024, uses chain-of-thought-based joint reasoning between knowledge graphs and LLMs (GPT-4, GPT-3.5-Turbo, Llama-7B, Llama-13B) to perform KBQA and multi-hop QA tasks, evaluated using Acc and Hit@K metrics on WQSP, CWQ, SQ, and WQ 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 (4)

• GPT-4 concept
• multi-hop knowledge base question answering concept
• ComplexWebQuestions concept
• KBQA concept