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@@ -5,6 +5,8 @@ tags: [debugging, code, reinforcement-learning, grpo, precisecoder]
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  ---
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  # PreciseCoder-9B
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  Qwen3.5-9B post-trained with reinforcement learning for **precise debugging**: given buggy Python
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  code, produce a minimal, correct fix (PreciseCoder project).
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@@ -21,3 +23,14 @@ code, produce a minimal, correct fix (PreciseCoder project).
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  `no-op` = share of clean (bug-free) inputs returned unchanged; `damage` = share broken by an edit.
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  Load with `transformers` / vLLM (>=0.17) as a standard Qwen3.5 model (thinking enabled by default).
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # PreciseCoder-9B
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+ 馃搫 [Paper (arXiv:2610.18755)](https://arxiv.org/abs/2610.18755) 路 馃寪 [Project page](https://precise-coder-rl.github.io/) 路 馃捇 [Code](https://github.com/precise-coder-rl/PreciseCoder)
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+
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  Qwen3.5-9B post-trained with reinforcement learning for **precise debugging**: given buggy Python
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  code, produce a minimal, correct fix (PreciseCoder project).
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  `no-op` = share of clean (bug-free) inputs returned unchanged; `damage` = share broken by an edit.
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  Load with `transformers` / vLLM (>=0.17) as a standard Qwen3.5 model (thinking enabled by default).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{precisecoder,
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+ title = {{PreciseCoder}: Faithful and Generalizable Debugging Beyond Unit-Test Rewards},
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+ author = {Zhan, Yunkai and Chai, Miaosen and Wang, Shangshang and Zhong, Jike and Yang, Yuqing and Fu, Deqing and Chang, Serina and Zhu, Wang Bill},
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+ journal = {arXiv preprint arXiv:2610.18755},
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+ year = {2026}
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+ }
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+ ```