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--- |
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license: mit |
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datasets: |
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- SoundMind-RL/SoundMindDataset |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen2.5-Omni-7B |
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pipeline_tag: audio-to-audio |
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--- |
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# SoundMind Model |
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The SoundMind Model is an audio language model (ALM) trained using SoundMind, a rule-based reinforcement learning (RL) algorithm designed to equip ALMs with advanced bimodal reasoning capabilities. |
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[Github](https://github.com/xid32/SoundMind) [Paper](https://arxiv.org/abs/2506.12935) [Dataset](https://huggingface.co/datasets/SoundMind-RL/SoundMindDataset) [Model](https://huggingface.co/SoundMind-RL/SoundMindModel) |
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## Citation |
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If you find our work helpful, feel free to give us a cite. |
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```bibtex |
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@article{diao2025soundmind, |
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title={SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models}, |
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author={Diao, Xingjian and Zhang, Chunhui and Kong, Keyi and Wu, Weiyi and Ma, Chiyu and Ouyang, Zhongyu and Qing, Peijun and Vosoughi, Soroush and Gui, Jiang}, |
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journal={arXiv preprint arXiv:2506.12935}, |
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year={2025} |
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} |
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``` |
