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When Capabilities Fail to Compose: Diagnosing the Compositionality Gap in Large Audio-Language Models
Large audio-language models (LALMs) perform strongly on individual audio tasks, but whether these capabilities can be reliably composed remains underexplored. We conduct a controlled diagnostic study of capability composition in LALMs, requiring models to integrate audio-attribute recognition, cue-c
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