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Preprint Aug 2026

Measuring Fairness in Large Audio Language Models via Semantic-Aware Bias Estimation

This work proposes a semantic-aware mixed-effects regression framework for fairness evaluation in LALMs that incorporates sentence-level semantic embeddings of reference text as covariates and models speaker identity as a random effect.

Zhe Liu · 0 citations

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