Knowledge Tree
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Knowledge graphs serve as the foundational structured data source for multi-hop knowledge base question answering, as evidenced by their role in enabling complex reasoning tasks [1] and their integration into specialized frameworks like MetaQA [2] and SG-RAG [3].
Facts (10)
Sources
Large Language Models Meet Knowledge Graphs for Question ... arxiv.org 7 facts
referenceQiao et al. (2024) published 'GraphLLM: A general framework for multi-hop question answering over knowledge graphs using large language models' in NLPCC, pages 136–148, detailing a framework for multi-hop reasoning.
referenceSaleh et al. (2024) published 'SG-RAG: Multi-hop question answering with large language models through knowledge graphs' in ICNLSP, pages 439–448, presenting a method for multi-hop QA using knowledge graphs.
claimHybrid methods for synthesizing LLMs and KGs support multi-doc, multi-modal, multi-hop, conversational, XQA, and temporal QA tasks.
claimApproaches using Knowledge Graphs as reasoning guidelines support multi-doc, multi-modal, multi-hop, XQA, and temporal QA tasks.
claimFusing knowledge from LLMs and Knowledge Graphs augments question decomposition in multi-hop Question Answering, facilitating iterative reasoning to generate accurate final answers.
referenceGMeLLo integrates explicit knowledge from knowledge graphs with linguistic knowledge from large language models for multi-hop question-answering by introducing fact triple extraction, relation chain extraction, and query and answer generation.
claimApproaches using Knowledge Graphs as background knowledge support multi-doc, multi-modal, multi-hop, conversational, and XQA tasks.
Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 1 fact
referenceWang et al. (2024) developed 'Llm-kgmqa', a large language model-augmented multi-hop question-answering system based on knowledge graphs in the medical field.
Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com 1 fact
claimKnowledge graph-based question-answering systems enable multi-hop question answering, allowing for the production of more complex and sophisticated answers by combining facts and concepts from knowledge graphs.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com 1 fact
claimMetaQA is a benchmark for evaluating multi-hop question answering over knowledge graphs by testing a model's ability to perform multi-step reasoning over structured data.