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related 2.00 — strongly supporting 3 facts

GPT-4 is utilized as a core large language model component in various KBQA methodologies, including the ToG method [1], the KG-CoT framework [2], and the ODA retrieval approach [3].

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Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv 3 facts

referenceThe ODA method, proposed by Sun et al. in 2024, uses ODA-based knowledge graph retrieval with GPT-4 and GPT-3.5 models to perform KBQA tasks, evaluated using Hits@1 and Acc metrics on the QALD10-en dataset.

referenceThe 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.

referenceThe ToG method, proposed by Sun et al. in 2024, uses beam-search-based retrieval and LLM agents with GPT-3.5-Turbo, GPT-4, and Llama-2-70B-Chat models to perform KBQA and open-domain QA tasks, evaluated using Hits@1 on CWQ, WQSP, GrailQA, QALD10-en, and WQ datasets.