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@@ -196,7 +196,6 @@ You can refer to ```search_r1/search/retriever_server.py``` for an example of la
The concept of Search-R1 is inspired by [Deepseek-R1](https://github.com/deepseek-ai/DeepSeek-R1) and [TinyZero](https://github.com/Jiayi-Pan/TinyZero/tree/main). The concept of Search-R1 is inspired by [Deepseek-R1](https://github.com/deepseek-ai/DeepSeek-R1) and [TinyZero](https://github.com/Jiayi-Pan/TinyZero/tree/main).
Its implementation is built upon [veRL](https://github.com/volcengine/verl) and [RAGEN](https://github.com/ZihanWang314/RAGEN/tree/main). Its implementation is built upon [veRL](https://github.com/volcengine/verl) and [RAGEN](https://github.com/ZihanWang314/RAGEN/tree/main).
We sincerely appreciate the efforts of these teams for their contributions to open-source research and development. We sincerely appreciate the efforts of these teams for their contributions to open-source research and development.
We thank Jinsung Yoon and Sercan Arik for insightful discussions.
## Awesome work powered or inspired by Search-R1 ## Awesome work powered or inspired by Search-R1
@@ -209,8 +208,8 @@ We thank Jinsung Yoon and Sercan Arik for insightful discussions.
```bibtex ```bibtex
@article{jin2025search, @article{jin2025search,
title={Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning}, title={Search-r1: Training llms to reason and leverage search engines with reinforcement learning},
author={Jin, Bowen and Zeng, Hansi and Yue, Zhenrui and Wang, Dong and Zamani, Hamed and Han, Jiawei}, author={Jin, Bowen and Zeng, Hansi and Yue, Zhenrui and Yoon, Jinsung and Arik, Sercan and Wang, Dong and Zamani, Hamed and Han, Jiawei},
journal={arXiv preprint arXiv:2503.09516}, journal={arXiv preprint arXiv:2503.09516},
year={2025} year={2025}
} }