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A development team is creating a language model for a question-answering system. The system's primary function is to provide precise, factually correct, short-phrase answers to user queries (e.g., answering 'What is the main component of glass?' with 'Silicon dioxide'). The team's most critical objective is to measure how often the model produces the factually correct text. Which evaluation metric and justification best aligns with this objective?
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A development team is creating a language model for a question-answering system. The system's primary function is to provide precise, factually correct, short-phrase answers to user queries (e.g., answering 'What is the main component of glass?' with 'Silicon dioxide'). The team's most critical objective is to measure how often the model produces the factually correct text. Which evaluation metric and justification best aligns with this objective?
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