Qwen / MODEL EVIDENCE

Qwen2-Audio

3 benchmarks · 4 observations · 3 sources

Scores at a glance

3 benchmarks · large dot: Qwen2-Audio; small dots: closest models where reported

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

There are not enough shared scored settings to identify close comparisons reliably.

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. VoiceBench: Benchmarking LLM-Based Voice Assistants — published result table ↗

    Yiming Chen, Xianghu Yue, Chen Zhang, Xiaoxue Gao, Robby T. Tan, Haizhou Li · 2024

  2. MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark — published result table ↗

    S Sakshi, Utkarsh Tyagi, Sonal Kumar, Ashish Seth, Ramaneswaran Selvakumar, Oriol Nieto et al. · 2024

    All 9 authors

    S Sakshi, Utkarsh Tyagi, Sonal Kumar, Ashish Seth, Ramaneswaran Selvakumar, Oriol Nieto, Ramani Duraiswami, Sreyan Ghosh, Dinesh Manocha

  3. AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension — published result table ↗

    Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou et al. · 2024

    All 11 authors

    Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou

Names used in source tables

Qwen2-Audio