49 lines
1.3 KiB
Markdown
49 lines
1.3 KiB
Markdown
---
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language:
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- en
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- zh
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license: apache-2.0
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library_name: transformers
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tags:
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- qwen3
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- text-generation
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- casual-lm
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base_model: Qwen/Qwen3-8B
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pipeline_tag: text-generation
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arxiv: 2601.21912
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---
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# Model Card for ProRAG
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This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) based on the methodology described in the paper associated with arXiv ID: **2601.21912**.
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## Model Details
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- **Base Model:** Qwen3-8B
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- **Language:** English, Chinese (and others supported by Qwen3)
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- **Paper:** [View on arXiv](https://arxiv.org/abs/2601.21912)
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- **Library:** Transformers
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## 💻 Code & Inference
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For inference code, usage examples, and reproduction scripts, please refer to our GitHub repository:
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👉 **[Click here to view the GitHub Repository](https://github.com/lilinwz/ProRAG/tree/main)**
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*(Please verify the details and instructions on the GitHub page.)*
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## Citation
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If you use this model or the associated paper in your research, please cite:
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```bibtex
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@misc{wang2026proragprocesssupervisedreinforcementlearning,
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title={ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation},
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author={Zhao Wang and Ziliang Zhao and Zhicheng Dou},
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year={2026},
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eprint={2601.21912},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2601.21912},
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}
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``` |