Author

Zhe Liu

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Preprint Aug 2026

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

Large Audio Language Models (LALMs) have seen increasing use for audio understanding tasks such as speech recognition and audio question answering, raising concerns about fairness across demographic subgroups. Fairness evaluation in spoken-input settings is challenging due to confounding factors, including semantic var...

Zhe Liu · 0 citations

#machine learning Preprint Aug 2026

Machine Unlearning for Speech Question Answering in Large Audio-Language Models

This work presents and evaluates multiple unlearning strategies, including gradient ascent, task arithmetic, and alignment-based fine-tuning methods that enforce safe refusal responses, to remove private knowledge while still preserving performance on core capabilities.

Zhe Liu · 0 citations