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TAG-Bench: Benchmarking Temporal Audio Grounding in Large Audio Language Models
Large audio language models (LALMs) can describe what is heard, but their ability to localize when queried content occurs remains less systematically evaluated. We present TAG-Bench, a benchmark for temporal audio grounding in which a model returns every time interval that matches a natural-language
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