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Can LLMs be Good Graph Judge for Knowledge Graph Construction?
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GraphJudge is a framework designed to enhance Knowledge Graph Construction quality. It employs a closed-source LLM for initial entity-centric text denoising and triple extraction, then fine-tunes an open-source LLM to act as a "graph judge" for verifying and filtering the correctness of the extracted triples, addressing issues like noise, domain-specific inaccuracies, and hallucinations in KG construction.
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