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Even advanced LLMs struggle to prevent privacy breaches in multi-user settings, exposing critical data spillage risks that current benchmarks overlook.
Grounding audio captioning in structured AudioSet semantics allows for high-quality descriptions without the computational burden of large language models.
A shared encoder for targeted sound detection leaps past prior art, achieving a new state-of-the-art F1 score of 83.15% on URBAN-SED while simplifying the model architecture.
