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Multi-hop Question Answering

Multi-hop question answering is a task in Natural Language Processing where a system must gather and synthesize information from multiple text sources to formulate a correct response to a complex question. This process often necessitates the decomposition of the original question into a series of simpler, answerable sub-questions, with the final answer being constructed from the intermediate results.

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Updated 2026-04-30

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Ch.3 Prompting - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences

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