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- ---
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- license: mit
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- ---
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- # Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation
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-
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- <div align="center" class="authors">
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- <a href="https://scholar.google.com/citations?user=IYLvsCQAAAAJ&hl" target="_blank">Shuo Wang</a>,
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- <a href="https://yongcaiwang.github.io/" target="_blank">Yongcai Wang</a>,
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- <a>Wanting Li</a>,
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- <a href="https://scholar.google.com/citations?user=TkwComsAAAAJ&hl=en" target="_blank">Xudong Cai</a>, <br>
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- <text>Yucheng Wang</text>,
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- <text>Maiyue Chen</text>,
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- <text>Kaihui Wang</text>,
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- <a href="https://scholar.google.com/citations?user=HQfc8TEAAAAJ&hl=en" target="_blank">Zhizhong Su</a>,
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- <text>Deying Li</text>,
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- <a href="https://zhaoxinf.github.io/" target="_blank">Zhaoxin Fan</a>
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- </div>
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-
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-
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- <div align="center" style="line-height: 3;">
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- <a href="https://horizonrobotics.github.io/robot_lab/aux-think" target="_blank" style="margin: 2px;">
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- <img alt="Homepage" src="https://img.shields.io/badge/Homepage-green" style="display: inline-block; vertical-align: middle;"/>
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- </a>
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- <a href="https://arxiv.org/abs/2505.11886" target="_blank" style="margin: 2px;">
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- <img alt="Paper" src="https://img.shields.io/badge/Paper-Arxiv-red" style="display: inline-block; vertical-align: middle;"/>
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- </a>
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- </div>
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-
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- ## Introduction
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- Aux-Think internalizes Chain-of-Thought (CoT) only during training, enabling efficient Vision-Language Navigation without explicit reasoning at inference, and achieving strong performance with minimal data.
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-
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- ![](https://horizonrobotics.github.io/robot_lab/aux-think/stats/x3.png)
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-
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-
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- ## Citation
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-
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- ```bibtex
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- @article{wang2025think,
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- title={Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation},
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- author={Wang, Shuo and Wang, Yongcai and Li, Wanting and Cai, Xudong and Wang, Yucheng and Chen, Maiyue and Wang, Kaihui and Su, Zhizhong and Li, Deying and Fan, Zhaoxin},
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- journal={arXiv preprint arXiv:2505.11886},
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- year={2025}
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- }
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  ```
 
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+ ---
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+ license: mit
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+ ---
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+ # Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation
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+
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+ <div align="center" class="authors">
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+ <a href="https://scholar.google.com/citations?user=IYLvsCQAAAAJ&hl" target="_blank">Shuo Wang</a>,
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+ <a href="https://yongcaiwang.github.io/" target="_blank">Yongcai Wang</a>,
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+ <a>Wanting Li</a>,
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+ <a href="https://scholar.google.com/citations?user=TkwComsAAAAJ&hl=en" target="_blank">Xudong Cai</a>, <br>
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+ <a>Yucheng Wang</a>,
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+ <a>Maiyue Chen</a>,
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+ <a>Kaihui Wang</a>,
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+ <a href="https://scholar.google.com/citations?user=HQfc8TEAAAAJ&hl=en" target="_blank">Zhizhong Su</a>,
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+ <a>Deying Li</a>,
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+ <a href="https://zhaoxinf.github.io/" target="_blank">Zhaoxin Fan</a>
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+ </div>
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+
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+
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+ <div align="center" style="line-height: 3;">
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+ <a href="https://horizonrobotics.github.io/robot_lab/aux-think" target="_blank" style="margin: 2px;">
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+ <img alt="Homepage" src="https://img.shields.io/badge/Homepage-green" style="display: inline-block; vertical-align: middle;"/>
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+ </a>
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+ <a href="https://arxiv.org/abs/2505.11886" target="_blank" style="margin: 2px;">
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+ <img alt="Paper" src="https://img.shields.io/badge/Paper-Arxiv-red" style="display: inline-block; vertical-align: middle;"/>
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+ </a>
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+ </div>
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+
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+ ## Introduction
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+ Aux-Think internalizes Chain-of-Thought (CoT) only during training, enabling efficient Vision-Language Navigation without explicit reasoning at inference, and achieving strong performance with minimal data.
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+
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+ ![](https://horizonrobotics.github.io/robot_lab/aux-think/stats/x3.png)
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+
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{wang2025think,
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+ title={Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation},
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+ author={Wang, Shuo and Wang, Yongcai and Li, Wanting and Cai, Xudong and Wang, Yucheng and Chen, Maiyue and Wang, Kaihui and Su, Zhizhong and Li, Deying and Fan, Zhaoxin},
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+ journal={arXiv preprint arXiv:2505.11886},
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+ year={2025}
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+ }
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  ```