Author

Yuangang Pan

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#artificial intelligence Dec 2025

The Reward Model Selection Crisis in Personalized Alignment

The findings reveal that the field has been optimizing for proxy metrics that do not predict deployment performance, and that current personalized alignment methods fail to operationalize preferences into behavioral adaptation under realistic deployment constraints, and finds simple in-context learning (ICL) to be high...

Fady Rezk, Yuangang Pan, Chuan-Sheng Foo et al. · arXiv.org · 3 citations