Multi-hop reasoning involves connecting disparate pieces of information to arrive at conclusions or answer complex questions, enhancing the depth of understanding AI can achieve in natural language tasks.
Question answering systems
Researchers, Developers
Difficulty answering complex questions requiring multiple references.
An AI assistant uses multi-hop reasoning to answer a user's question by synthesizing information from several documents rather than relying on a single source.
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