MaPPO incorporates prior reward knowledge into a Maximum a Posteriori objective for LLM preference optimization, generalizing DPO and variants while supporting offline and online settings.
21 Response yl, r = 0.43 Step 1: Interpret the problem and set up equations based on the given information
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MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
MaPPO incorporates prior reward knowledge into a Maximum a Posteriori objective for LLM preference optimization, generalizing DPO and variants while supporting offline and online settings.