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In the landscape of modern machine learning, the pursuit of has traditionally overshadowed the pursuit of diversity . Standard models are optimizers; they ask, "Which item best fits the query?" However, in real-world applications—ranging from search engine results to recommendation systems and document summarization—a list of perfectly relevant but identical items is useless.

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