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@@ -26,7 +26,8 @@ If you are interested in our work, please refer to our blog and research paper f
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  # **Citation**
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  If you find our model and data helpful, please cite our paper:
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- ```
 
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  @misc{shen2025satorireinforcementlearningchainofactionthought,
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  title={Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search},
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  author={Maohao Shen and Guangtao Zeng and Zhenting Qi and Zhang-Wei Hong and Zhenfang Chen and Wei Lu and Gregory Wornell and Subhro Das and David Cox and Chuang Gan},
@@ -36,4 +37,17 @@ If you find our model and data helpful, please cite our paper:
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  primaryClass={cs.CL},
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  url={https://arxiv.org/abs/2502.02508},
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  }
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  # **Citation**
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  If you find our model and data helpful, please cite our paper:
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+ ## Satori
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+ ```bibtex
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  @misc{shen2025satorireinforcementlearningchainofactionthought,
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  title={Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search},
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  author={Maohao Shen and Guangtao Zeng and Zhenting Qi and Zhang-Wei Hong and Zhenfang Chen and Wei Lu and Gregory Wornell and Subhro Das and David Cox and Chuang Gan},
 
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  primaryClass={cs.CL},
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  url={https://arxiv.org/abs/2502.02508},
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  }
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+ ```
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+
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+ ## Satori-SWE
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+ ```bibtex
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+ @misc{zeng2025satorisweevolutionarytesttimescaling,
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+ title={Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering},
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+ author={Guangtao Zeng and Maohao Shen and Delin Chen and Zhenting Qi and Subhro Das and Dan Gutfreund and David Cox and Gregory Wornell and Wei Lu and Zhang-Wei Hong and Chuang Gan},
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+ year={2025},
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+ eprint={2505.23604},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2505.23604},
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+ }
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  ```