Author

Jitian Zhao

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#artificial intelligence Feb 2026

CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation

CARE is introduced, a confounder-aware aggregation framework that explicitly models LLM judge scores as arising from both a latent true-quality signal and shared confounding factors and separates quality from confounders without access to ground-truth labels.

Jitian Zhao, Chang-Ho Shin, Tzu-Heng Huang et al. · arXiv.org · 11 citations · ⚡2