Knowledge Tree
Relations (1)
related 2.32 — strongly supporting 4 facts
Knowledge graphs serve as the foundational data structure for multi-hop knowledge base question answering, enabling iterative reasoning [1], data preprocessing [2], and the mitigation of complex reasoning challenges [3]. Furthermore, they are utilized to refine and validate the intermediate reasoning steps performed by Large Language Models during multi-hop question-answering tasks [4].
Facts (4)
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Large Language Models Meet Knowledge Graphs for Question ... arxiv.org 3 facts
claimMulti-hop Question Answering involves decomposing complex questions and generating answers based on multi-step and iterative reasoning over a factual Knowledge Graph.
claimApproaches that leverage retrieved factual evidence from knowledge graphs for refinement and validation are designed to augment Large Language Model capabilities in understanding user interactions and verifying intermediate reasoning for multi-hop question-answering (Chen et al., 2024b) and conversational question-answering (Xiong et al., 2024).
claimJoint reasoning over factual knowledge graphs and LLMs can mitigate challenges related to knowledge retrieval, conflicts across modalities and knowledge sources, and complex reasoning in multi-document, multi-modal, and multi-hop question answering.
How to Improve Multi-Hop Reasoning With Knowledge Graphs and ... neo4j.com 1 fact
perspectiveMany multi-hop question-answering issues can be resolved by preprocessing data before ingestion and connecting it to a knowledge graph, rather than relying solely on query-time processing.