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Selective Tie Learning: Mitigating Spurious Correlations in Preference Optimization
Preference optimization can learn spurious correlations, and augmenting the preference data with ties (equally preferred responses) can reduce spurious reliance. However, ties differ in their corrective effect, making their selection for augmentation important. For log-linear policies, we derive eac
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