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Broadening Uncertainty Estimation for Audio Question Answering Across Methods, Formats, and Inputs
Audio-language models can produce confident answers unsupported by the audio, motivating uncertainty estimates that identify unreliable responses. We compare probability-based, sampling-based, self-verification, evidential, and contrastive measures across four open-weight models and five audio QA be
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