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Multi-Hop Reasoning is a cognitive process in artificial intelligence (AI) and natural language processing (NLP) where information is collected and synthesized across contexts or repositories of knowledge. It involves connecting various inference steps to reach a comprehensive answer, enabling enhanced comprehension and problem-solving.
Multi-Hop Reasoning
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