Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models

Abstract excerpt

Large Audio-Language Models (LALMs) have unclocked audio dialogue capabilities, where audio dialogues are a direct exchange of spoken language between LALMs and humans. Recent advances, such as GPT-4o, have enabled LALMs in back-and-forth audio dialogues with humans. This progression not only underscores the potential of LALMs but also broadens their applicability across a wide range of practical scenarios support...

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Identifiers and source

Literature Corpus work

60ecf997-f635-5560-b912-e24fb74f1e26

DOI

10.32388/758n37