Author

Caiqi Zhang

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#natural language process... Jun 2026

When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs

It is shown that raw global calibration metrics are not robust for cross-model comparison, and that fair calibration comparison requires accuracy-aware evaluation, and proposed ACE, an accuracy-controlled evaluation framework, is proposed.

Zhichao Yang, Caiqi Zhang, Ruihan Yang et al. · arXiv.org · 1 citation

#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