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KG-CRAFT is a novel method that leverages knowledge graphs to formulate structured contrastive questions. These KG-derived questions guide LLMs during the inference stage of fact-checking, improving their ability to assess claim veracity by providing distilled, evidence-based summaries. The primary goal is to enhance the LLM's performance in automated fact-checking through structured reasoning based on KG information.
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