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News/Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels
arxiv
PublishedJuly 21, 2026 at 4:00 AM

Metadata-Free Meta-Reweighted Direct Preference Optimization under Noisy Preference Labels

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arXiv:2607.09796v2 Announce Type: replace Abstract: Direct Preference Optimization (DPO) has become an important method for aligning large language models (LLMs) with human preferences because it removes the need for explicit reward modeling and reinforcement learning. However, its performance depen

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