The InteractiveKBQA method, proposed by Xiong et al. in 2024, uses Multi-turn Interaction for Observation and Thinking with GPT-4-Turbo, Mistral-7B, and Llama-2-13B models and Freebase, Wikidata, and Movie KG knowledge graphs for KBQA and domain-specific QA, evaluated using F1, Hits@1, EM, and Acc metrics on the WQSP, CWQ, KQA Pro, and MetaQA 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 (8)

• Wikidata entity
• anterior cingulate cortex concept
• ComplexWebQuestions concept
• Exact Match concept
• F1 concept
• multi-turn conversations concept
• Freebase concept
• KBQA concept