| --- |
| license: mit |
| datasets: |
| - SoundMind-RL/SoundMindDataset |
| language: |
| - en |
| base_model: |
| - Qwen/Qwen2.5-Omni-7B |
| pipeline_tag: audio-to-audio |
| --- |
| |
| # SoundMind Model |
|
|
| 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. |
|
|
| [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) |
|
|
| ## Citation |
|
|
| If you find our work helpful, feel free to give us a cite. |
|
|
| ```bibtex |
| @article{diao2025soundmind, |
| title={SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models}, |
| 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}, |
| journal={arXiv preprint arXiv:2506.12935}, |
| year={2025} |
| } |
| ``` |
