Author

Ej Zhou

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#natural language process... Oct 2025

Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models

This work conducts the first large-scale, systematic studies of multilingual calibration across six model families and over 100 languages, revealing that non-English languages suffer from systematically worse calibration.

Ej Zhou, Caiqi Zhang, Tiancheng Hu et al. · arXiv.org · 10 citations · ⚡1

Preprint Jul 2026

Lower-Resource, Higher Scores: Language Bias in LLM Evaluators

LLM evaluators (trained reward models and prompted LLM-as-a-Judge) are routinely validated via pairwise accuracy. In a multilingual setting, this operates under the premise that high pairwise accuracy implies reliable, language-neutral scoring. We show that this assumption does not hold. We conduct experiments with sem...

Yijie Zhou, Lucas Resck, Zheng Hui et al. · 1 citation