arxiv
PublishedOctober 27, 2026 at 4:00 AM
Unbiased Alignment for Large Language Models with Noisy Preferences
Publisher summary· verbatim
arXiv:2607.03248v2 Announce Type: replace-cross Abstract: The alignment of large language models with human preferences is commonly achieved through Reinforcement Learning from Human Feedback or Direct Preference Optimization. However, these methods are vulnerable to the significant noise prevalent
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Originally published on arxiv ↗