Author

Henry Gouk

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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

#machine learning Preprint Oct 2026

Generalization in Neural Networks Through the Lens of Magnitude Potential

This paper introduces the idea of {\em magnitude potential} -- a quantity based on the theory of metric magnitude -- that reflects how well an arbitrary point is represented by a given set, and finds that this basic quantity can be applied to examine various features in neural generalization.

Sahel Torkamani, Henry Gouk, Rik Sarkar · 0 citations