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Molei Liu

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Preprint Sep 2026

Human-Anchored Inference for Ranking New Models with Large Language Model Judges

Human pairwise comparisons provide a reference for evaluating large language models (LLMs), but collecting sufficient judgments for each new release is costly and time-consuming. LLM judges offer a scalable alternative, although their comparisons may differ systematically from human preferences and across judges. We st...

Xin Zhou, Si-Nian Zhang, Zhan-Yan Yang et al. · 0 citations
#machine learning Preprint Sep 2026

Shapley Value Estimation for Multi-Site Data with Blockwise-Missing Features

FUSHAP is proposed, a method that leverages partially-observed auxiliary sites to reduce the variance of a preliminary single-site Shapley estimate without imputation and reduces MSE on multi-site air quality and multi-center clinical data.

Siqi Li, Wang-Xuan Fan, Yi-Ming Li et al. · 0 citations
Preprint Aug 2026

Inferential Evaluation of Surrogate-Derived Models under Covariate Shift

Cross-fitted estimators that transport information from the two labeled sources through source-specific density ratios are proposed that establish asymptotically linear inference for TPR and FPR, consistency and pointwise inference for the ROC curve, and asymptotically normal inference for AUC.

Long-Tian Shi, Molei Liu, Dou-Dou Zhou · 0 citations

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