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STEMMA: Song-to-Stem Multi-Audio Reasoning for Large Audio Language Models
Music understanding often requires comparing excerpts and reasoning about relationships among songs, sections, and stems. However, existing large audio-language models (LALMs) and music question-answering datasets typically operate on single recordings or compare independently sampled tracks with no
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