AI RESEARCH
AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA
arXiv CS.CL
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ArXi:2604.21766v1 Announce Type: new Existing audio question answering benchmarks largely emphasize sound event classification or caption-grounded queries, often enabling models to succeed through shortcut strategies, short-duration cues, lexical priors, dataset-specific biases, or even bypassing audio via metadata and captions rather than genuine reasoning Thus, we present AUDITA (Audio Understanding from Diverse Internet Trivia Authors), a large-scale, real-world benchmark to rigorously evaluate audio reasoning beyond surface-level acoustic recognition.