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Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
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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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