Audio-Text-to-Text
Transformers
Safetensors
qwen2_audio
text2text-generation
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@@ -48,7 +48,7 @@ Additional Notes:
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  #### Notes
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- 1 It is the original model, identical to the one on Hugging Face and described in our technical report.
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  2️⃣ It is the model submitted to [EvalAI](https://eval.ai/web/challenges/challenge-page/2391/overview) for evaluation, trained multiple times to achieve balanced results. (**The results on the [leaderboard](https://sakshi113.github.io/mmau_homepage/#leaderboard) contain some typographical errors, and we are currently in communication with the organizers to correct them.**)
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  \* The data are sourced from the [MMAU official website](https://sakshi113.github.io/mmau_homepage/)
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  \[1\] Xie, Zhifei, et al. "Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models." arXiv preprint arXiv:2503.02318 (2025).
 
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  #### Notes
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+ 1️⃣ It is the original model, identical to the one on Hugging Face and described in our technical report.
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  2️⃣ It is the model submitted to [EvalAI](https://eval.ai/web/challenges/challenge-page/2391/overview) for evaluation, trained multiple times to achieve balanced results. (**The results on the [leaderboard](https://sakshi113.github.io/mmau_homepage/#leaderboard) contain some typographical errors, and we are currently in communication with the organizers to correct them.**)
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  \* The data are sourced from the [MMAU official website](https://sakshi113.github.io/mmau_homepage/)
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  \[1\] Xie, Zhifei, et al. "Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models." arXiv preprint arXiv:2503.02318 (2025).