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【第171期】DivPO:Diverse Preference Optimization

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Diverse Preference Optimization

Summary

The research introduces Diverse Preference Optimization (DivPO), a novel training method designed to enhance the diversity of language model outputs while maintaining quality. Current optimization techniques often lead to a reduction in diversity, especially in creative tasks. DivPO addresses this by selecting preference pairs based on both quality and diversity, contrasting diverse, high-reward responses with less diverse, lower-reward ones. The method demonstrates significant improvements in diversity…

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