% Use this file for citations not found in the ACL Anthology (contained in "anthology.bib").

@book{Aho:72,
    author  = {Alfred V. Aho and Jeffrey D. Ullman},
    title   = {The Theory of Parsing, Translation and Compiling},
    year    = "1972",
    volume  = "1",
    publisher = {Prentice-Hall},
    address = {Englewood Cliffs, NJ}
}

@book{APA:83,
    author  = {{American Psychological Association}},
    title   = {Publications Manual},
    year    = "1983",
    publisher = {American Psychological Association},
    address = {Washington, DC}
}

@article{Chandra:81,
	author = {Ashok K. Chandra and Dexter C. Kozen and Larry J. Stockmeyer},
	year = "1981",
	title = {Alternation},
	journal = {Journal of the Association for Computing Machinery},
	volume = "28",
	number = "1",
	pages = "114--133",
	doi = "10.1145/322234.322243",
}

@inproceedings{andrew2007scalable,
  title={Scalable training of {$L_1$}-regularized log-linear models},
  author={Andrew, Galen and Gao, Jianfeng},
  booktitle={Proceedings of the 24th International Conference on Machine Learning},
  pages={33--40},
  year={2007},
  url={https://dl.acm.org/doi/abs/10.1145/1273496.1273501}
}

@book{Gusfield:97,
    author  = {Dan Gusfield},
    title   = {Algorithms on Strings, Trees and Sequences},
    year    = "1997",
    publisher = {Cambridge University Press},
    address = {Cambridge, UK},
    url={https://www.cambridge.org/core/books/algorithms-on-strings-trees-and-sequences/F0B095049C7E6EF5356F0A26686C20D3}
}

@article{rasooli-tetrault-2015,
    author    = {Mohammad Sadegh Rasooli and Joel R. Tetreault},
    title     = {Yara Parser: {A} Fast and Accurate Dependency Parser},
    journal   = {Computing Research Repository},
    volume    = {arXiv:1503.06733},
    year      = {2015},
    url       = {http://arxiv.org/abs/1503.06733},
    note    = {version 2}
}

@article{Ando2005,
	Acmid = {1194905},
	Author = {Ando, Rie Kubota and Zhang, Tong},
	Issn = {1532-4435},
	Issue_Date = {12/1/2005},
	Journal = {Journal of Machine Learning Research},
	Month = dec,
	Numpages = {37},
	Pages = {1817--1853},
	Publisher = {JMLR.org},
	Title = {A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data},
	Volume = {6},
	Year = {2005},
	url={https://www.jmlr.org/papers/volume6/ando05a/ando05a.pdf}
}

@article{ct1965,
  title={An algorithm for the machine calculation of complex {F}ourier series},
  author={Cooley, James W. and Tukey, John W.},
  journal={Mathematics of Computation},
  volume={19},
  number={90},
  pages={297--301},
  year={1965},
  url={https://www.ams.org/journals/mcom/1965-19-090/S0025-5718-1965-0178586-1/S0025-5718-1965-0178586-1.pdf}
}

%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "David Rhead",
%%%     version         = "1.00",
%%%     date            = "17 Feb 1990",
%%%     time            = "17:00 GMT",
%%%     filename        = "test.bib",
%%%     address         = "Cripps Computing Centre,
%%%                        University of Nottingham,
%%%                        University Park,
%%%                        Nottingham,
%%%                        NG7 2RD,
%%%                        United Kingdom",
%%%     telephone       = "+44 602 484848 Ext 2670",
%%%     FAX             = "+44 602 588138",
%%%     checksum        = "05151 839 2908 25082",
%%%     email           = "David_Rhead at uk.ac.nott.vme (JANET)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "bibliography, citation, references",
%%%     supported       = "no",
%%%     docstring       = "This BibTeX database file contains entries
%%%                        designed for testing whether a BibTeX style
%%%                        file lays references out as recommended by
%%%                        certain authorities.  (Note, however, that
%%%                        the BS 1629 examples are from the 1976
%%%                        edition.  The file needs updating to use
%%%                        examples from the 1989 edition instead.)
%%%
%%%                        The checksum field above contains a CRC-16
%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
%%%                        count) utility output of lines, words, and
%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================


%% @COMMENT{Some standard works describing conventions for citations
%%      and bibliographies}



@misc{winata2021language,
      title={Language Models are Few-shot Multilingual Learners}, 
      author={Genta Indra Winata and Andrea Madotto and Zhaojiang Lin and Rosanne Liu and Jason Yosinski and Pascale Fung},
      year={2021},
      eprint={2109.07684},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@inproceedings{mccann2018language,
  title={Language Models are Open Information Extractors},
  author={McCann, Bryan and Bradbury, James and Xiong, Caiming and Socher, Richard},
  booktitle={Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  year={2018}
}

@article{conneau2020massively,
  title={Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond},
  author={Conneau, Alexis and Khandelwal, Kartikay and Goyal, Naman and Chaudhary, Vishrav and Wenzek, Guillaume and Guzm{\'a}n, Francisco and Grave, Edouard and Ott, Myle and Zettlemoyer, Luke and Stoyanov, Veselin},
  journal={Transactions of the Association for Computational Linguistics},
  volume={8},
  pages={264--282},
  year={2020},
  publisher={MIT Press}
}


@inproceedings{vaswani2017attention,
  title={Attention is all you need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, Lukasz and Polosukhin, Illia},
  booktitle={Advances in neural information processing systems},
  pages={5998--6008},
  year={2017}
}

@inproceedings{prabhu2018deep,
  title={Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions},
  author={Prabhu, Vinay Uday},
  booktitle={Thirty-Second AAAI Conference on Artificial Intelligence},
  year={2018}
}

@inproceedings{schwartz2018effect,
  title={The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task},
  author={Schwartz, Roy and Tsur, Oren and Rappoport, Ari and Shnarch, Eyal},
  booktitle={Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  pages={1806--1815},
  year={2018}
}

@article{goodfellow2016deep,
  title={Deep learning},
  author={Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron},
  journal={MIT press},
  year={2016}
}

@article{howard2018universal,
  title={Universal language model fine-tuning for text classification},
  author={Howard, Jeremy and Ruder, Sebastian},
  journal={arXiv preprint arXiv:1801.06146},
  year={2018}
}

@inproceedings{alrfou2013polyglot,
  title={Polyglot: Distributed word representations for multilingual NLP},
  author={Al-Rfou, Rami and Perozzi, Bryan and Skiena, Steven},
  booktitle={Proceedings of the Seventeenth Conference on Computational Natural Language Learning},
  pages={183--192},
  year={2013}
}

@article{radford2019language,
  title={Language models are unsupervised multitask learners},
  author={Radford, Alec and Wu, Jeff and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya},
  journal={OpenAI Blog},
  volume={1},
  number={8},
  pages={9},
  year={2019}
}

@article{ippolito2020discriminating,
  title={Discriminating between Human-Produced and Machine-Generated Text: A Survey},
  author={Ippolito, Daphne and Duckworth, Daniel and Callison-Burch, Chris and Eck, Douglas},
  journal={arXiv preprint arXiv:2012.03358},
  year={2020}
}

@article{brown2021language,
  title={Language Models are Few-Shot Learners},
  author={Brown, Tom B and Mann, Benjamin and Ryder, Nick and Subbiah, Melanie and Kaplan, Jared and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and others},
  journal={arXiv preprint arXiv:2105.14111},
  year={2021}
}

@misc{mccann2018natural,
      title={The Natural Language Decathlon: Multitask Learning as Question Answering}, 
      author={Bryan McCann and Nitish Shirish Keskar and Caiming Xiong and Richard Socher},
      year={2018},
      eprint={1806.08730},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@article{turing1950computing,
	author = {Alan M. Turing},
	title = {Computing Machinery and Intelligence},
	year = {1950},
	journal = {Mind},
	doi = {10.1093/mind/lix.236.433},
	number = {October},
	publisher = {Oxford University Press},
	volume = {59},
	pages = {433--60}
}

@misc{autextification,
  author       = {José Ángel González and
                  Areg Sarvazyan and
                  Marc Franco and
                  Francisco Manuel Rangel and
                  María Alberta Chulvi and
                  Paolo Rosso},
  title        = {AuTexTification},
  month        = mar,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {1.0.0},
  doi          = {10.5281/zenodo.7692961},
  url          = {https://doi.org/10.5281/zenodo.7692961}
}


@inproceedings{wolf2020transformers,
    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",
    url = "https://aclanthology.org/2020.emnlp-demos.6",
    doi = "10.18653/v1/2020.emnlp-demos.6",
    pages = "38--45",
    abstract = "Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining. Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to effectively utilize this capacity for a wide variety of tasks. Transformers is an open-source library with the goal of opening up these advances to the wider machine learning community. The library consists of carefully engineered state-of-the art Transformer architectures under a unified API. Backing this library is a curated collection of pretrained models made by and available for the community. Transformers is designed to be extensible by researchers, simple for practitioners, and fast and robust in industrial deployments. The library is available at https://github.com/huggingface/transformers.",
}

@misc{loshchilov2019decoupled,
      title={Decoupled Weight Decay Regularization}, 
      author={Ilya Loshchilov and Frank Hutter},
      year={2019},
      eprint={1711.05101},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

@article{caruana1997multitask,
author = {Caruana, Rich},
year = {1997},
month = {07},
pages = {},
title = {Multitask Learning},
volume = {28},
isbn = {978-1-4613-7527-2},
journal = {Machine Learning},
doi = {10.1023/A:1007379606734}
}

@misc{bai2021joint,
      title={Joint Unsupervised and Supervised Training for Multilingual ASR}, 
      author={Junwen Bai and Bo Li and Yu Zhang and Ankur Bapna and Nikhil Siddhartha and Khe Chai Sim and Tara N. Sainath},
      year={2021},
      eprint={2111.08137},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{adilazuarda2023indorobusta,
      title={IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages}, 
      author={Muhammad Farid Adilazuarda and Samuel Cahyawijaya and Genta Indra Winata and Pascale Fung and Ayu Purwarianti},
      year={2023},
      eprint={2311.12405},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{antoun2023robust,
      title={Towards a Robust Detection of Language Model Generated Text: Is ChatGPT that Easy to Detect?}, 
      author={Wissam Antoun and Virginie Mouilleron and Benoît Sagot and Djamé Seddah},
      year={2023},
      eprint={2306.05871},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{jawahar2020automatic,
      title={Automatic Detection of Machine Generated Text: A Critical Survey}, 
      author={Ganesh Jawahar and Muhammad Abdul-Mageed and Laks V. S. Lakshmanan},
      year={2020},
      eprint={2011.01314},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{guo2023close,
      title={How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection}, 
      author={Biyang Guo and Xin Zhang and Ziyuan Wang and Minqi Jiang and Jinran Nie and Yuxuan Ding and Jianwei Yue and Yupeng Wu},
      year={2023},
      eprint={2301.07597},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{wu2023llmdet,
      title={LLMDet: A Third Party Large Language Models Generated Text Detection Tool}, 
      author={Kangxi Wu and Liang Pang and Huawei Shen and Xueqi Cheng and Tat-Seng Chua},
      year={2023},
      eprint={2305.15004},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}


@misc{he2024mgtbench,
      title={MGTBench: Benchmarking Machine-Generated Text Detection}, 
      author={Xinlei He and Xinyue Shen and Zeyuan Chen and Michael Backes and Yang Zhang},
      year={2024},
      eprint={2303.14822},
      archivePrefix={arXiv},
      primaryClass={cs.CR}
}

@misc{mitchell2023detectgpt,
      title={DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature}, 
      author={Eric Mitchell and Yoonho Lee and Alexander Khazatsky and Christopher D. Manning and Chelsea Finn},
      year={2023},
      eprint={2301.11305},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{deng2023efficient,
      title={Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model}, 
      author={Zhijie Deng and Hongcheng Gao and Yibo Miao and Hao Zhang},
      year={2023},
      eprint={2305.16617},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

@misc{su2023detectllm,
      title={DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text}, 
      author={Jinyan Su and Terry Yue Zhuo and Di Wang and Preslav Nakov},
      year={2023},
      eprint={2306.05540},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{tian2023multiscale,
      title={Multiscale Positive-Unlabeled Detection of AI-Generated Texts}, 
      author={Yuchuan Tian and Hanting Chen and Xutao Wang and Zheyuan Bai and Qinghua Zhang and Ruifeng Li and Chao Xu and Yunhe Wang},
      year={2023},
      eprint={2305.18149},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{bhattacharjee2023fighting,
      title={Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?}, 
      author={Amrita Bhattacharjee and Huan Liu},
      year={2023},
      eprint={2308.01284},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{koike2023outfox,
      title={OUTFOX: LLM-generated Essay Detection through In-context Learning with Adversarially Generated Examples}, 
      author={Ryuto Koike and Masahiro Kaneko and Naoaki Okazaki},
      year={2023},
      eprint={2307.11729},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{yu2023gpt,
      title={GPT Paternity Test: GPT Generated Text Detection with GPT Genetic Inheritance}, 
      author={Xiao Yu and Yuang Qi and Kejiang Chen and Guoqiang Chen and Xi Yang and Pengyuan Zhu and Weiming Zhang and Nenghai Yu},
      year={2023},
      eprint={2305.12519},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{li2023deepfake,
      title={Deepfake Text Detection in the Wild}, 
      author={Yafu Li and Qintong Li and Leyang Cui and Wei Bi and Longyue Wang and Linyi Yang and Shuming Shi and Yue Zhang},
      year={2023},
      eprint={2305.13242},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{liu2023argugpt,
      title={ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models}, 
      author={Yikang Liu and Ziyin Zhang and Wanyang Zhang and Shisen Yue and Xiaojing Zhao and Xinyuan Cheng and Yiwen Zhang and Hai Hu},
      year={2023},
      eprint={2304.07666},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{chen2023gptsentinel,
      title={GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content}, 
      author={Yutian Chen and Hao Kang and Vivian Zhai and Liangze Li and Rita Singh and Bhiksha Raj},
      year={2023},
      eprint={2305.07969},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{adilazuarda2023obscure,
      title={The Obscure Limitation of Modular Multilingual Language Models}, 
      author={Muhammad Farid Adilazuarda and Samuel Cahyawijaya and Ayu Purwarianti},
      year={2023},
      eprint={2311.12375},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}