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@@ -79,8 +79,9 @@ The GRPO (Generative Reinforcement Learning from Preference Optimization) traini
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  ```
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  ## Citation
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- Please cite our paper if you use our model:
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  @misc{wang2025verireasonreinforcementlearningtestbench,
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  title={VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation},
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  author={Yiting Wang and Guoheng Sun and Wanghao Ye and Gang Qu and Ang Li},
@@ -90,7 +91,7 @@ Please cite our paper if you use our model:
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  primaryClass={cs.AI},
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  url={https://arxiv.org/abs/2505.11849},
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  }
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-
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  ## Acknowledgement
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  This repo benefits from OpenR1 and LLamaFactory.
 
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  ```
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  ## Citation
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+ Please cite our paper if you use our model or dataset:
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+ ```bibtex
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  @misc{wang2025verireasonreinforcementlearningtestbench,
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  title={VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation},
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  author={Yiting Wang and Guoheng Sun and Wanghao Ye and Gang Qu and Ang Li},
 
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  primaryClass={cs.AI},
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  url={https://arxiv.org/abs/2505.11849},
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  }
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+ ```
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  ## Acknowledgement
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  This repo benefits from OpenR1 and LLamaFactory.