The LPKG method, proposed by Wang et al. in 2024, involves Planning LLM Tuning, Inference, and Execution using GPT-3.5-Turbo, CodeQwen1.5-7B-Chat, and Llama-3-8B-Instruct models with dataset-inherent knowledge graphs (Wikidata) and Wikidata15K for KGQA and Multi-hop QA, evaluated using EM, P, and R metrics on the HotpotQA, 2WikiMQA, Bamboogle, MuSiQue, and CLQA-Wiki 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 (5)

• multi-hop knowledge base question answering concept
• Wikidata entity
• music concept
• inference concept
• Exact Match concept