Introduction: Knowledge graphs power modern question-answering, recommendation, and entity-aware language models, but are perennially incomplete. The task of knowledge graph completion (KGC) infers missing triples and is increasingly approached by finetuning a large language model (LLM) to select the correct entity from a candidate list produced by a lightwei...
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