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  # CodeRM-NT
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- [Paper](TODO) |
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  [Github](https://github.com/THUDM/CodeRM-NT)
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  Providing accurate reward signals for code generated by LLMs is a significant challenge in applying reinforcement learning (RL) to code generation. Existing methods rely on unit tests, which are expensive to curate and unreliable when automatically synthesized.
 
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  # CodeRM-NT
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+ [Paper](https://github.com/THUDM/CodeRM-NT/blob/main/assets/CodeRM-NT.pdf) |
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  [Github](https://github.com/THUDM/CodeRM-NT)
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  Providing accurate reward signals for code generated by LLMs is a significant challenge in applying reinforcement learning (RL) to code generation. Existing methods rely on unit tests, which are expensive to curate and unreliable when automatically synthesized.