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Encode Once, Decode Never: Reusing Audio LM Internals for Efficient Temporal Localization
Audio language models process input audio into rich frame-level representations, but the standard approach to temporal localization generates timestamps as sequences of text tokens, which discards the frame-level representations in favor of autoregressive decoding. However, generating timestamps as
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