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Jaewoo Lee

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#machine learning Preprint Sep 2026

FestDPO: Few-step Generator Alignment with Direct Preference Optimization

This work introduces Few-step DPO (FestDPO), an extension of DPO for few-step generative models that leverages nonparametric likelihood estimation from empirical samples that makes sample-based approximation of DPO loss computationally feasible.

Jaewoo Lee, Kyuil Sim, Hyeongyu Kang et al. · 0 citations