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News/AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient Updates
arxiv
PublishedMay 28, 2026 at 4:00 AM

AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient Updates

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arXiv:2605.28440v1 Announce Type: new Abstract: DPO has become a widely adopted alternative to RLHF for aligning LLMs with human preferences, eliminating the need for a separate reward model or RL loop. Recent theoretical analysis uncovers an asymmetric gradient behavior in DPO: the loss suppresses

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