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ORPO: Monolithic Preference Optimization without Reference Model (Paper Explained)

Paper: https://arxiv.org/abs/2403.07691 Abstract: While recent preference alignment algorithms for language models have demonstrated promising results, supervised fine-tuning (SFT) remains imperative for achieving successful convergence. In this paper, we study the crucial role of SFT within the co...

Watch Original03/17/2026
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