Author

Lu-Yang Fang

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#machine learning Review Sep 2026

A Statistical Perspective on Knowledge Distillation: Foundations, Classical Methods, and Large Language Model Extensions

This review presents a unified Bayesian formulation of KD that formulates teacher predictions as prior information and establishes a rigorous connection to uncertainty quantification, providing a principled interpretation of how teacher information is incorporated into student learning.

Lu-Yang Fang, Hao-Ran Lu, Jia-Zhang Cai et al. · 0 citations

#machine learning Review Sep 2026

Complex Problem Solving in Large Language Models: A Statistical Control Survey and Diagnostic Framework

This framework organizes existing methods around five components: explicit state representation, transition structuring, validation and constraint enforcement, search and rollback, and uncertainty management, and yields a diagnostic hypothesis: interventions should be most effective when they target the error or uncert...

Jia-Zhang Cai, Tao Wang, Rui-Dong Zhang et al. · 0 citations