Mitigating Mismatch within Reference-based Preference Optimization | ScienceToStartup | ScienceToStartup

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References (75)

[1]

Unifying Stable Optimization and Reference Regularization in RLHF

2026Li He, Qiang Qu et al.

[2]

Is Gradient Ascent Really Necessary? Memorize to Forget for Machine Unlearning

2026Zhuo Huang, Qizhou Wang et al.

[3]

FORCE: Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction

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"Develop HyPO, an algorithm improving preference alignment by conditionally debiasing reference signals in Direct Preference Optimization."

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Mitigating Mismatch within Reference-based Preference Optimization

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References (75)

Founder's Pitch

"Develop HyPO, an algorithm improving preference alignment by conditionally debiasing reference signals in Direct Preference Optimization."

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Mitigating Mismatch within Reference-based Preference Optimization

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References (75)

Founder's Pitch

"Develop HyPO, an algorithm improving preference alignment by conditionally debiasing reference signals in Direct Preference Optimization."

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