Author

Lucas Resck

University of Cambridge

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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