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Auditory Illusion Benchmark for Large Audio Language Models
Perceptual illusions have long served as crucial probes into human cognition, revealing biases and limitations of perception. In the auditory domain, such illusions provide a unique lens for testing whether Large Audio Language Models (LALMs) replicate human perceptual tendencies. Despite their importance, most benchmarks focus on visual illusions or general audio tasks, leaving auditory illusions underexplored. To this end, we present AIB, the first auditory illusion benchmark for LALMs, covering ten representative illusions across music, sound, and speech, each annotated for the presence of
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T08:23:36.000Z
First collected: 2026-09-21T05:32:15.665Z. This is not the publication date.