AI RESEARCH
SpurAudio: A Benchmark for Studying Shortcut Learning in Few-Shot Audio Classification
arXiv CS.CV
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ArXi:2605.13672v1 Announce Type: new Few-shot classification (FSC) is widely used for learning from limited labeled data, yet most evaluations implicitly assume that target concepts are independent of contextual cues. In real-world settings, however, examples often appear within rich contexts, allowing models to exploit spurious correlations between foreground content and background signals.