Mechanism

Generalizes DPO from reverse KL divergence to any convex ff-divergence (forward KL, Jensen-Shannon, α\alpha-divergence) by replacing log⁡πθπref\log \frac{\pi_\theta}{\pi_{\text{ref}}} with the derivative of the convex conjugate f′(πθ(y∣x)πref(y∣x))f'\left(\frac{\pi_\theta(y\mid x)}{\pi_{\text{ref}}(y\mid x)}\right), trading off mode-seeking vs. mass-covering generation behavior.

References

  1. Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints ↗

    Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen · 2023