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KICGPT is a framework that integrates an LLM with a triple-based KGC retriever to improve Knowledge Graph Completion performance, particularly for long-tail entities. The LLM re-ranks candidate entities provided by the retriever, leveraging its internal knowledge and external KG context to enhance the KG task.
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