The combination of knowledge fusion, Retrieval-Augmented Generation (RAG), Chain-of-Thought (CoT) reasoning, and ranking-based refinement accelerates complex question decomposition for multi-hop Question Answering, enhances context understanding for conversational Question Answering, facilitates cross-modal interactions for multi-modal Question Answering, and improves the explainability of generated answers.

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 (7)

• Retrieval-Augmented Generation (RAG) concept
• chain-of-thought concept
• explainability concept
• multi-hop knowledge base question answering concept
• knowledge fusion concept
• multi-modal question answering concept
• conversational question answering concept