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README.md
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license: apache-2.0
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---
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<div align="center">
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<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/
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<a href='https://huggingface.co/hmhm1229/
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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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## 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)
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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
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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,
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```
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hm.cypeng@gmail.com
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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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```
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