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  ---
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  license: apache-2.0
 
 
 
 
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  ---
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  <div align="center">
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- <h1> R1-Router: Learning to Route Queries across Knowledge Bases for Step-wise Retrieval-Augmented Reasoning </h1>
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  <h5 align="center">
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  <a href='https://arxiv.org/abs/2505.22095'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
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- <a href='https://huggingface.co/hmhm1229/R1-Router'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-blue'>
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- <a href='https://huggingface.co/hmhm1229/R1-Router-3B'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-blue'>
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  Chunyi Peng<sup>1,3</sup>,
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  Zhipeng Xu<sup>1</sup>,
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  Zhenghao Liu<sup>1</sup>,
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  Yishan Li<sup>3</sup>,
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  Yukun Yan<sup>2</sup>,
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- Zhiyuan Liu<sup>2</sup>,
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  Yu Gu<sup>1</sup>
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  Minghe Yu<sup>1</sup>
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  Ge Yu<sup>1</sup>
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  </div>
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  ## News
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- 8.22 We upload [R1-Router-3B](https://huggingface.co/hmhm1229/R1-Router-3B).
 
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  ## Environment
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  For training, answer generation, and evaluation processes:
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  bash src/data_synthesis/data_synthesis.sh
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  ```
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  ### Step-GRPO Training
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- Our training framework is based on [EasyR1](https://github.com/hiyouga/EasyR1), only you need to do is to download it and replace some files with the files in `./Easy-R1`.
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  Then start training with the command:
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  ```bash
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  conda activate router
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  - [OmniSearch](https://github.com/Alibaba-NLP/OmniSearch)
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  ## Citation
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- We appreciate your citations if you find our paper related and useful to your research!
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  ```
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  @article{peng2025r1,
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  title={Learning to Route Queries across Knowledge Bases for Step-wise Retrieval-Augmented Reasoning},
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  ```
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  ## Contact Us
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- If you have questions, suggestions, and bug reports, please email us, we will try our best to help you.
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  ```
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  hm.cypeng@gmail.com
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- ```
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-
 
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  ---
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  license: apache-2.0
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+ language:
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+ - en
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+ base_model:
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+ - Qwen/Qwen2.5-VL-7B-Instruct
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  ---
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  <div align="center">
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+ <h1> MoRE: Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation </h1>
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  <h5 align="center">
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  <a href='https://arxiv.org/abs/2505.22095'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
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+ <a href='https://huggingface.co/hmhm1229/MoRE'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-blue'>
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+ <a href='https://huggingface.co/hmhm1229/MoRE-3B'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-blue'>
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  Chunyi Peng<sup>1,3</sup>,
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  Zhipeng Xu<sup>1</sup>,
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  Zhenghao Liu<sup>1</sup>,
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  Yishan Li<sup>3</sup>,
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  Yukun Yan<sup>2</sup>,
 
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  Yu Gu<sup>1</sup>
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  Minghe Yu<sup>1</sup>
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  Ge Yu<sup>1</sup>
 
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  </div>
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  ## News
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+ 2026.04.08 Our work is accepted by SIGIR 2026!
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+ 8.22 We upload [MoRE-3B](https://huggingface.co/hmhm1229/MoRE-3B).
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  ## Environment
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  For training, answer generation, and evaluation processes:
 
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  bash src/data_synthesis/data_synthesis.sh
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  ```
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  ### Step-GRPO Training
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+ Our training framework is based on [EasyR1](https://github.com/hiyouga/EasyR1). All you need to do is download it and replace some files with the files in `./Easy-R1`.
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  Then start training with the command:
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  ```bash
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  conda activate router
 
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  - [OmniSearch](https://github.com/Alibaba-NLP/OmniSearch)
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  ## Citation
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+ We appreciate your citations if you find our paper relevant and useful to your research!
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  ```
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  @article{peng2025r1,
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  title={Learning to Route Queries across Knowledge Bases for Step-wise Retrieval-Augmented Reasoning},
 
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  ```
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  ## Contact Us
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+ If you have questions, suggestions, or bug reports, please email us. We will try our best to help you.
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  ```
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  hm.cypeng@gmail.com
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+ ```