ModelHub XC 3d71e2063c 初始化项目,由ModelHub XC社区提供模型
Model: bmbgsj/ProRAG
Source: Original Platform
2026-06-23 11:44:17 +08:00

language, license, library_name, tags, base_model, pipeline_tag, arxiv
language license library_name tags base_model pipeline_tag arxiv
en
zh
apache-2.0 transformers
qwen3
text-generation
casual-lm
Qwen/Qwen3-8B text-generation 2601.21912

Model Card for ProRAG

This model is a fine-tuned version of Qwen/Qwen3-8B based on the methodology described in the paper associated with arXiv ID: 2601.21912.

Model Details

  • Base Model: Qwen3-8B
  • Language: English, Chinese (and others supported by Qwen3)
  • Paper: View on arXiv
  • Library: Transformers

💻 Code & Inference

For inference code, usage examples, and reproduction scripts, please refer to our GitHub repository:

👉 Click here to view the GitHub Repository

(Please verify the details and instructions on the GitHub page.)

Citation

If you use this model or the associated paper in your research, please cite:

@misc{wang2026proragprocesssupervisedreinforcementlearning,
      title={ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation}, 
      author={Zhao Wang and Ziliang Zhao and Zhicheng Dou},
      year={2026},
      eprint={2601.21912},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2601.21912}, 
}
Description
Model synced from source: bmbgsj/ProRAG
Readme 2 MiB
Languages
Jinja 100%