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Prompt engineering is directly applied to the task of Knowledge Graph completion, as described in [1], where it is used to guide Large Language Models in inferring missing information within the graph.
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Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 1 fact
claimPrompt engineering for Knowledge Graph (KG) completion involves designing input prompts to guide Large Language Models (LLMs) in inferring and filling missing parts of KGs, which enhances multi-hop link prediction and allows handling of unseen cues in zero-sample scenarios.