% --- 1. The Shared Task (CRITICAL: You must cite the task overview) ---
@inproceedings{orel-etal-2026-semeval-2026,
  title = "{S}em{E}val-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application Scenarios",
  author = "Orel, Daniil and Azizov, Dilshod and Paul, Indraneil and Wang, Yuxia and Gurevych, Iryna and Nakov, Preslav",
  booktitle = "Proceedings of the 20th International Workshop on Semantic Evaluation (SemEval-2026)",
  month = jun,
  year = "2026",
  address = "San Diego, USA",
  publisher = "Association for Computational Linguistics"
}


@article{liu2019roberta,
    title={RoBERTa: A Robustly Optimized BERT Pretraining Approach},
    author={Liu, Yinhan and Ott, Myle and Goyal, Naman and Du, Jingfei and Joshi, Mandar and Chen, Danqi and Levy, Omer and Lewis, Mike and Zettlemoyer, Luke and Stoyanov, Veselin},
    journal={arXiv preprint arXiv:1907.11692},
    year={2019}
}

% --- 3. Tools & Libraries (Tree-Sitter, Transformers, PyTorch) ---
@inproceedings{wolf-etal-2020-transformers,
    title = "Transformers: State-of-the-Art Natural Language Processing",
    author = "Wolf, Thomas and Debut, Lysandre and Sanh, Victor and Chaumond, Julien and Delangue, Clement and Moi, Anthony and Cistac, Pierric and Rault, Tim and Louf, Remi and Funtowicz, Morgan and Davison, Joe and Shleifer, Sam and von Platen, Patrick and Ma, Clara and Jernite, Yacine and Plu, Julien and Xu, Canwen and Le Scao, Teven and Gugger, Sylvain and Drame, Mariama and Lhoest, Quentin and Rush, Alexander",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = oct,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    pages = "38--45",
    url = "https://aclanthology.org/2020.emnlp-demos.6"
}

@inproceedings{paszke2019pytorch,
    title={PyTorch: An Imperative Style, High-Performance Deep Learning Library},
    author={Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and others},
    booktitle={Advances in Neural Information Processing Systems},
    volume={32},
    year={2019}
}

@misc{treesitter,
    title = {Tree-sitter: A Parser Generator Tool and Incremental Parsing Library},
    author = {Brunsfeld, Max and others},
    year = {2024},
    howpublished = {\url{https://tree-sitter.github.io/tree-sitter/}},
    note = {Accessed: 2026-06-01}
}

% --- 4. Optimization & Training Techniques ---
@inproceedings{loshchilov2018decoupled,
    title={Decoupled Weight Decay Regularization},
    author={Loshchilov, Ilya and Hutter, Frank},
    booktitle={International Conference on Learning Representations},
    year={2019},
    url={https://openreview.net/forum?id=Bkg6RiCqY7}
}

@article{smith2019superconvergence,
    title={Super-convergence: Very fast training of neural networks using large learning rates},
    author={Smith, Leslie N and Topin, Nicholay},
    journal={Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications},
    volume={11006},
    pages={1100612},
    year={2019},
    publisher={International Society for Optics and Photonics}
}

% --- 5. Software Engineering Metrics (Theory) ---
@article{mccabe1976complexity,
    title={A complexity measure},
    author={McCabe, Thomas J},
    journal={IEEE Transactions on Software Engineering},
    number={4},
    pages={308--320},
    year={1976},
    publisher={IEEE}
}

@inproceedings{guo2022unixcoder,
  title={UniXcoder: Unified Cross-Modal Pre-training for Code Representation},
  author={Guo, Daya and Lu, Shuai and Duan, Nan and Wang, Yanlin and Zhou, Ming and Yin, Jian},
  booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={7212--7225},
  year={2022}
}

@article{wang2023codet5plus,
  title={CodeT5+: Open Code Large Language Models for Code Understanding and Generation},
  author={Wang, Yue and Le, Hung and Gotmare, Akhilesh Deepak and Bui, Nghi DQ and Li, Junnan and Hoi, Steven CH},
  journal={arXiv preprint arXiv:2305.07922},
  year={2023}
}

@inproceedings{guo-etal-2021-graphcodebert,
    title = "{G}raph{C}ode{BERT}: Pre-training Code Representations with Data Flow",
    author = "Guo, Daya  and
      Ren, Shuo  and
      Luo, Shuai  and
      Wang, Ziyuan  and
      Liao, Shujie  and
      Itiki, Horacio  and
      Zhou, Jianfeng  and
      Chen, Jianchi  and
      Zhou, Tijn  and
      Duan, Nan  and
      Zhou, Ming",
    booktitle = "International Conference on Learning Representations (ICLR)",
    year = "2021"
}

@article{liu-etal-2022-elcodebert,
    title = "EL-CodeBERT: Layer-wise Representations for Code Smell Detection",
    author = "Liu, Jing and others",
    journal = "Journal of Software Engineering Research and Development",
    year = "2022"
}

@misc{tree-sitter,
  author = {Max Brunsfeld},
  title = {Tree-sitter: a new incremental parsing system for programming tools},
  url = {https://github.com/tree-sitter/tree-sitter},
  year = {2018}
}

@book{mccabe1976cyclomatic,
  title={A complexity measure},
  author={McCabe, Thomas J},
  year={1976},
  publisher={IEEE Transactions on Software Engineering}
}

@inproceedings{orel2026aicdbenchchallengingbenchmark,
  title     = "{AICD} Bench: A Challenging Benchmark for {AI}-Generated Code Detection",
  author    = {Orel, Daniil and Azizov, Dilshod and Paul, Indraneil and Wang, Yuxia and Gurevych, Iryna and Nakov, Preslav},
  booktitle = {Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year      = {2026},
  address   = {Rabat, Morocco},
  publisher = {Association for Computational Linguistics},
  url       = {https://arxiv.org/abs/2602.02079}
}

@article{chen2021codex,
    title={Evaluating Large Language Models Trained on Code},
    author={Chen, Mark and Tworek, Jerry and Jun, Heewoo and Yuan, Qiming and Pinto, Henrique Ponde de Oliveira and Kaplan, Jared and Edwards, Harri and Burda, Yuri and Joseph, Nicholas and Brockman, Greg and others},
    journal={arXiv preprint arXiv:2107.03374},
    year={2021}
}

@article{roziere2023code,
    title={Code Llama: Open Foundation Models for Code},
    author={Rozi{\`e}re, Baptiste and Gehring, Jonas and Gloeckle, Fabian and Sootla, Sten and Gat, Itai and Zheng, Xiaoqing and Zhou, Martin and others},
    journal={arXiv preprint arXiv:2308.12950},
    year={2023}
}

@inproceedings{guo2021graphcodebert,
    title={GraphCodeBERT: Pre-training Code Representations with Data Flow},
    author={Guo, Daya and Ren, Shuo and Lu, Shuai and Feng, Zhangyin and Tang, Duyu and Liu, Shujie and Zhou, Long and Duan, Nan and Svyatkovskiy, Alexey and Fu, Shengyu and others},
    booktitle={International Conference on Learning Representations},
    year={2021},
    url={https://openreview.net/forum?id=jLoC4ez43PZ}
}

@inproceedings{wang2021codet5,
    title={CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation},
    author={Wang, Yue and Wang, Weishi and Joty, Shafiq and Hoi, Steven C. H.},
    booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
    pages={8696--8708},
    year={2021},
    publisher={Association for Computational Linguistics}
}

@inproceedings{guo-etal-2022-unixcoder,
    title = "{U}ni{XC}oder: Unified Cross-Modal Pre-training for Code Representation",
    author = "Guo, Daya and Lu, Shuai and Duan, Nan and Wang, Yanlin and Zhou, Ming and Yin, Jian",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    pages = "7212--7225"
}
@article{scikit-learn,
    title={Scikit-learn: Machine Learning in {P}ython},
    author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
            and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
            and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
            Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
    journal={Journal of Machine Learning Research},
    volume={12},
    pages={2825--2830},
    year={2011}
}
@inproceedings{micikevicius2018mixed,
    title={Mixed Precision Training},
    author={Micikevicius, Paulius and Narang, Sharan and Alben, Jonah and Diamos, Gregory and Elsen, Erich and Garcia, David and Ginsburg, Boris and Houston, Michael and Kuchaiev, Oleksii and Venkatesh, Ganesh and Wu, Hao-Yen},
    booktitle={International Conference on Learning Representations},
    year={2018},
    url={https://openreview.net/forum?id=r1wO2a9B-}
}