The ToG-2 method, proposed by Ma et al. in 2025, utilizes hybrid RAG and knowledge-guided context retrieval with GPT-3.5-Turbo, GPT-4o, Llama-3-8B, and Qwen2-7B models to perform multi-hop KBQA, document QA, and domain-specific QA tasks, evaluated using Acc, EM, R, and F1 metrics on WQSP, QALD10-en, AdvHotpotQA, HotpotQA, and ToG-FinQA 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 (1)

• GPT-4 concept