Author

Dongyue Li

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Preprint Aug 2026

MoPLEx: Estimating Plackett-Luce Mixture Models for Multi-Objective Alignment

The effectiveness of MoPLEx for tackling multi-way rankings following heterogeneous preferences through measuring alignment via gradients through measuring alignment via gradients is demonstrated.

Dong-Yue Li, Zi-Niu Zhang, Lu Wang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Learning Mixtures of Plackett-Luce Models for Multi-Objective Alignment

We consider the problem of learning a mixture of $k$ Plackett-Luce models given multi-way ranking responses from annotators that may represent heterogeneous underlying preferences. This problem has many applications in AI alignment and preference optimization. Prior work has studied mixtures of Bradley-Terry models fro...

Dongyue Li, Ziniu Zhang, Lu Wang et al. · 0 citations