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<
https://doi.org/10.48550/arXiv.2410.13080
>
dct:title
"Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models" ;
<
http://purl.org/spar/cito/describes
> <
https://neverblink.eu/ontologies/llm-kg/methods#graphConstrainedReasoning
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<
http://purl.org/spar/cito/discusses
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> , <
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> , <
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https://neverblink.eu/ontologies/llm-kg/methods#structGPT
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>
dct:subject
<
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> ;
a
<
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> ;
rdfs:comment
"GCR is a novel framework that bridges structured knowledge in KGs with unstructured reasoning in LLMs to eliminate hallucinations and ensure faithful reasoning. It integrates KG structure into the LLM decoding process via a KG-Trie, leverages a lightweight KG-specialized LLM for graph-constrained decoding to generate paths, and a powerful general LLM for inductive reasoning over multiple generated paths. This approach deeply combines LLM and KG reasoning capabilities." ;
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