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+ ---
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+ datasets:
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+ - dmarsili/Omni3D-Bench
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ base_model:
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+ - Qwen/Qwen3-8B
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+ tags:
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+ - reasoning
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+ - visual-programming
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+ - program-synthesis
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+ - visual-reasoning
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+ ---
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ This is the RL-tuned Qwen3-8B model from the paper: [No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers](https://glab-caltech.github.io/valor/)
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+
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+ For further information please refer to the [project webpage](https://glab-caltech.github.io/valor/), [paper](https://arxiv.org/abs/2512.08889), and [repository](https://github.com/damianomarsili/VALOR).
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+
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+ ## Citation [optional]
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+
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+ If you use VALOR in your research, please consider citing our work:
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+
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+ **BibTeX:**
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+ ```bibtex
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+ @misc{marsili2025labelsproblemtrainingvisual,
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+ title={No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers},
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+ author={Damiano Marsili and Georgia Gkioxari},
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+ year={2025},
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+ eprint={2512.08889},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2512.08889},
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+ }
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+ ```