A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models

• URL: http://arxiv.org/abs/2601.19673v1
• Date: Tue, 27 Jan 2026 14:54:10 GMT
• Title: A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models
• Authors: Iwona Christop, Mateusz Czyżnikiewicz, Paweł Skórzewski, Łukasz Bondaruk, Jakub Kubiak, Marcin Lewandowski, Marek Kubis,
• Abstract summary: The present benchmarks for testing the audio modality of multimodal large language models concentrate on testing various audio tasks such as speaker diarization or gender identification in isolation.<n>We propose Audio Reasoning Tasks (ART), a new benchmark for assessing the ability of multimodal models to solve problems that require reasoning over audio signal.
• Score: 3.770636357625305
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: The present benchmarks for testing the audio modality of multimodal large language models concentrate on testing various audio tasks such as speaker diarization or gender identification in isolation. Whether a multimodal model can answer the questions that require reasoning skills to combine audio tasks of different categories, cannot be verified with their use. To address this issue, we propose Audio Reasoning Tasks (ART), a new benchmark for assessing the ability of multimodal models to solve problems that require reasoning over audio signal.

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