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---
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license:
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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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---
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license: apache-2.0
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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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@misc
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{diao2025soundmindrlincentivizedlogicreasoning,
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title={SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models},
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author={Xingjian Diao and Chunhui Zhang and Keyi Kong and Weiyi Wu and Chiyu Ma and Zhongyu Ouyang and Peijun Qing and Soroush Vosoughi and Jiang Gui},
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year={2025},
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eprint={2506.12935},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2506.12935},
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}
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```
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