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Who cites «MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark»

67 papers of our library cite it (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← back to «MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark»

  1. Qwen2.5-Omni Technical ReportarXiv:2503.20215Jin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 227 citations
  2. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
  3. Qwen3-Omni Technical ReportarXiv:2509.17765Jin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 117 citations
  4. Kimi-Audio Technical ReportarXiv:2504.18425KimiTeam, Ding Ding, Zeqian Ju, et al.2025 · 57 citations
  5. Step-Audio 2 Technical ReportarXiv:2507.16632Boyong Wu, Chao Yan, Chen Hu, et al.2025 · 31 citations
  6. Qwen3.5-Omni Technical ReportarXiv:2604.15804Qwen Team2026 · 29 citations
  7. MiMo-Audio: Audio Language Models are Few-Shot LearnersarXiv:2512.23808Xiaomi LLM-Core Team, Dong Zhang, Gang Wang, et al.2025 · 24 citations
  8. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
  9. Step-Audio-R1 Technical ReportarXiv:2511.15848Fei Tian, Xiangyu Tony Zhang, Yuxin Zhang, et al.2025 · 3 citations
  10. HumMusQA: A Human-written Music Understanding QA Benchmark DatasetWorkshop on NLP for Music and AudioBenno Weck, Pablo Puentes, Andrea Poltronieri, et al.2026 · 1 citation
  11. Qwen3.8-Omni: Towards Native Omni-Modal AgentsarXiv:2609.25611Qwen Team2026

39 more papers of our library cite it; they have no page here yet.

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