SGDPO modifies DPO with a subsequence-based pilot term and reports up to 9.19% relative MT-Bench gains, though the claimed gradient mechanism is not fully derived for the implemented loss.
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SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment
SGDPO modifies DPO with a subsequence-based pilot term and reports up to 9.19% relative MT-Bench gains, though the claimed gradient mechanism is not fully derived for the implemented loss.