PFP preserves the distribution of human preference features during online preference learning by mapping each new instruction to a feature set, converting it to system prompts, and training with DPO.
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Debiasing Online Preference Learning via Preference Feature Preservation
PFP preserves the distribution of human preference features during online preference learning by mapping each new instruction to a feature set, converting it to system prompts, and training with DPO.