多模态大语言模型音频推理能力基准测试 / A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models
1️⃣ 一句话总结
这篇论文提出了一个新的测试标准，专门用来评估多模态AI模型能否像人一样，通过综合理解不同声音信息（比如谁在说话、声音特征等）来进行逻辑推理和解决问题，弥补了现有测试只关注单一声音任务的不足。
arXiv 提交日期: 2026-01-27
Abstract - A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models
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.
源自 arXiv: 2601.19673