Add pipeline tag, library name, and improve model card
#1
by
nielsr
HF Staff
- opened
README.md
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license: cc-by-nc-sa-4.0
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---
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# VL-LN-Bench basemodel
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@@ -13,15 +18,29 @@ VL-LN Bench is the first benchmark for **Interactive Instance Object Navigation
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The resulting model demonstrates baseline competence on IION: it can search for a specific instance in **previously unseen** environments. During exploration, the agent can either **move** by predicting a pixel-goal waypoint or **ask** a question to reduce ambiguity and improve task success and efficiency.
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### Resources
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[](https://github.com/InternRobotics/InternNav)
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[](https://arxiv.org/abs/2512.
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[](https://0309hws.github.io/VL-LN.github.io/)
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[](https://huggingface.co/datasets/InternRobotics/InternData-N1)
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## Usage
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For inference and evaluation, please refer to the [VL-LN-Bench repository](https://github.com/InternRobotics/InternNav).
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---
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license: cc-by-nc-sa-4.0
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library_name: transformers
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pipeline_tag: robotics
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# VL-LN-Bench basemodel
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This repository contains the base model for the paper [VL-LN Bench: Towards Long-horizon Goal-oriented Navigation with Active Dialogs](https://huggingface.co/papers/2512.22342).
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The resulting model demonstrates baseline competence on IION: it can search for a specific instance in **previously unseen** environments. During exploration, the agent can either **move** by predicting a pixel-goal waypoint or **ask** a question to reduce ambiguity and improve task success and efficiency.
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### Resources
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[](https://github.com/InternRobotics/InternNav)
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[](https://arxiv.org/abs/2512.22342)
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[](https://0309hws.github.io/VL-LN.github.io/)
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[](https://huggingface.co/datasets/InternRobotics/InternData-N1)
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## Usage
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For inference and evaluation, please refer to the [VL-LN-Bench repository](https://github.com/InternRobotics/InternNav).
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## Citation
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If you find our work helpful, please cite:
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```bibtex
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@misc{huang2025vllnbenchlonghorizongoaloriented,
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title={VL-LN Bench: Towards Long-horizon Goal-oriented Navigation with Active Dialogs},
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author={Wensi Huang and Shaohao Zhu and Meng Wei and Jinming Xu and Xihui Liu and Hanqing Wang and Tai Wang and Feng Zhao and Jiangmiao Pang},
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year={2025},
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eprint={2512.22342},
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archivePrefix={arXiv},
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primaryClass={cs.RO},
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url={https://arxiv.org/abs/2512.22342},
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}
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```
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