arXiv · 2601.19673
A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models
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.
Explore related subjects
Keep this discovery
Iwona Christop, Mateusz Czyżnikiewicz, Paweł Skórzewski, Łukasz Bondaruk, Jakub Kubiak, Marcin Lewandowski, Marek Kubis. 2026-01-27. A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models. https://arxiv.org/abs/2601.19673
Cite the original work for its findings. Save a collection to share your selection of sources.