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  ## Abstract
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- **AudioMarathon** is a large-scale, multi-task audio understanding benchmark designed to systematically evaluate audio language models' capabilities in processing and comprehending long-form audio content. It provides a diverse set of tasks built upon three pillars:
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  long-context audio inputs with durations ranging from **90.0 to 300.0** seconds, which
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  correspond to encoded sequences of 2,250 to 7,500 audio tokens, respectively, full
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  domain coverage across speech, sound, and music, and complex reasoning that
 
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  ## Abstract
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+ **AudioMarathon** is a large-scale, multi-task audio understanding benchmark designed to systematically evaluate audio language models' capabilities in processing and comprehending long-form audio content. It provides a diverse set of **10** tasks built upon three pillars:
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  long-context audio inputs with durations ranging from **90.0 to 300.0** seconds, which
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  correspond to encoded sequences of 2,250 to 7,500 audio tokens, respectively, full
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  domain coverage across speech, sound, and music, and complex reasoning that