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README.md
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@@ -17,13 +17,11 @@ The benchmark supports evaluation under varied member-to-non-member **ratios** (
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If you find this work helpful, please consider citing our paper:
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```latex
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@
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title={Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach},
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author={Yuanheng Li and Zhuoyang Chen and Xiaoyun Liu and Yuhao Wang and Mingwei Liu and Yang Shi and Kaifeng Huang and Shengjie Zhao},
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archivePrefix={arXiv},
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primaryClass={cs.CR}
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}
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```
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If you find this work helpful, please consider citing our paper:
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```latex
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@inproceedings{li2025synprune,
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title={Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach},
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author={Yuanheng Li and Zhuoyang Chen and Xiaoyun Liu and Yuhao Wang and Mingwei Liu and Yang Shi and Kaifeng Huang and Shengjie Zhao},
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booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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year={2026},
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}
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```
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