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Monash University
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Fine-grained text-to-audio retrieval improves significantly when structured logical reasoning meets efficient cross-modal alignment.
Toxic audio retrieval can be effectively mitigated without sacrificing accuracy, thanks to a novel debiasing framework that preserves context and intent.
