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@@ -23,16 +23,17 @@ viewer: false
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  <p align="center">
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  Official training data for <a href="https://arxiv.org/abs/2610.11816"><i>Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers</i></a>
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  </p>
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-
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  <p align="center">
 
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  <a href="https://arxiv.org/abs/2610.11816"><img src="https://img.shields.io/badge/arXiv-2610.11816-b31b1b.svg" alt="arXiv"></a>
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  <a href="https://github.com/OpenBMB/Trident"><img src="https://img.shields.io/badge/GitHub-OpenBMB%2FTrident-blue.svg" alt="Code"></a>
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  <a href="https://huggingface.co/OpenBMB/Trident-Qwen3VL-2B"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Model-Trident--Qwen3VL--2B-yellow.svg" alt="Model"></a>
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  <a href="https://huggingface.co/datasets/OpenBMB/Trident-Train"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Data-Trident--Train-orange.svg" alt="Train data"></a>
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  <a href="https://huggingface.co/datasets/OpenBMB/Trident-Eval"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Data-Trident--Eval-orange.svg" alt="Eval data"></a>
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- <a href="https://github.com/OpenBMB/Trident/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-MIT-green.svg" alt="License"></a>
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  </p>
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  ## Overview
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  Dense retrievers tend to assign higher similarity scores to *text* representations than to semantically equivalent *image* representations, which makes mixed-modality retrieval fragile. Trident-Train is the **modality-balanced** training set used to mitigate this bias.
@@ -205,11 +206,10 @@ The annotations released here are under the [MIT License](https://github.com/Ope
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  If you find this work useful, please cite:
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  ```bibtex
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- @article{trident2026chaos,
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- title = {Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers},
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- author = {Sun, Yubo and Peng, Chunyi and Yan, Yukun and Liu, Zhenghao and Xu, Zhipeng and Mei, Sen and Xin, Linlin and Zeng, Zheni and Sun, Maosong},
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- journal = {arXiv preprint arXiv:2610.11816},
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- year = {2026},
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- url = {https://arxiv.org/abs/2610.11816}
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  }
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  ```
 
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  <p align="center">
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  Official training data for <a href="https://arxiv.org/abs/2610.11816"><i>Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers</i></a>
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  </p>
 
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  <p align="center">
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+ <a href="https://chaos-in-texts.github.io/"><img src="https://img.shields.io/badge/%F0%9F%94%B1%20Project%20Page-chaos--in--texts-5b3fd1.svg" alt="Project Page"></a>
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  <a href="https://arxiv.org/abs/2610.11816"><img src="https://img.shields.io/badge/arXiv-2610.11816-b31b1b.svg" alt="arXiv"></a>
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  <a href="https://github.com/OpenBMB/Trident"><img src="https://img.shields.io/badge/GitHub-OpenBMB%2FTrident-blue.svg" alt="Code"></a>
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  <a href="https://huggingface.co/OpenBMB/Trident-Qwen3VL-2B"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Model-Trident--Qwen3VL--2B-yellow.svg" alt="Model"></a>
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  <a href="https://huggingface.co/datasets/OpenBMB/Trident-Train"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Data-Trident--Train-orange.svg" alt="Train data"></a>
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  <a href="https://huggingface.co/datasets/OpenBMB/Trident-Eval"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Data-Trident--Eval-orange.svg" alt="Eval data"></a>
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+ <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-green.svg" alt="License"></a>
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  </p>
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+
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  ## Overview
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  Dense retrievers tend to assign higher similarity scores to *text* representations than to semantically equivalent *image* representations, which makes mixed-modality retrieval fragile. Trident-Train is the **modality-balanced** training set used to mitigate this bias.
 
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  If you find this work useful, please cite:
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  ```bibtex
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+ @article{sun2026chaos,
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+ title={Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers},
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+ author={Sun, Yubo and Peng, Chunyi and Yan, Yukun and Liu, Zhenghao and Xu, Zhipeng and Mei, Sen and Xin, Linlin and Zeng, Zheni and Sun, Maosong},
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+ journal={arXiv preprint arXiv:2610.11816},
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+ year={2026}
 
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  }
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  ```