Adaptive selection among a library of audio perturbations in contrastive decoding produces task-dependent accuracy gains, including +4.3% on an existence task via a hidden-state selector.
CompA: Addressing the gap in compositional reasoning in audio-language models,
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Adaptive Perturbation Selection for Contrastive Audio Decoding
Adaptive selection among a library of audio perturbations in contrastive decoding produces task-dependent accuracy gains, including +4.3% on an existence task via a hidden-state selector.