VIBE: Benchmarking Bias in Audio Language Models
Yi-Cheng Lin · hf · 2026-07-09
VIBE is a novel method for evaluating bias in large audio language models, testing for systematic biases during generation using real-world recordings and open-ended tasks. The research found that bias intensity varies significantly across different tasks, with gender and accent cues acting as major triggers.
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