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"title": "Direct Preference Optimization: Your Language Model is Secretly a Reward Model —",
"description": "DPO introduces a simple classification loss that directly optimizes language model policies on human preference data, eliminating the need for reinforcement learning while maintaining theoretical equivalence to the RLHF objective.",
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