@comment@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    = {Proceedings of Advances in Neural Information Processing Systems},
  year         = {2017}
}

@article{kim2020han,
  author  = {Kim, Dong-Kyum and Lee, Byunghwee and Kim, Daniel and Jeong, Hawoong},
  title   = {Multi-Label Classification of Historical Documents Using Hierarchical Attention Networks},
  journal = {Journal of the Korean Physical Society},
  year    = {2020},
  volume  = {76},
  number  = {4},
  pages   = {368--377},
  doi     = {10.3938/jkps.76.368}
}
@article{zhang2014review,
  author  = {Zhang, Min-Ling and Zhou, Zhi-Hua},
  title   = {A Review on Multi-Label Learning Algorithms},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  year    = {2014},
  volume  = {26},
  number  = {8},
  pages   = {1819--1837},
  doi     = {10.1109/TKDE.2013.39}
}

@inproceedings{brown2020fewshot,
  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 Agarwal, Sandhini and Herbert-Voss, Ariel and Krueger, Gretchen and Henighan, Tom and others},
  title   = {Language Models Are Few-Shot Learners},
  booktitle = {Advances in Neural Information Processing Systems},
  year    = {2020},
  volume  = {33},
  pages   = {1877--1901},
  url     = {https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html}
}

checked, replaced with official
@inproceedings{peskine2023definitions,
    title = "Definitions Matter: Guiding {GPT} for Multi-label Classification",
    author = "Peskine, Youri  and
      Koren{\v{c}}i{\'c}, Damir  and
      Grubisic, Ivan  and
      Papotti, Paolo  and
      Troncy, Raphael  and
      Rosso, Paolo",
    editor = "Bouamor, Houda  and
      Pino, Juan  and
      Bali, Kalika",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-emnlp.267/",
    doi = "10.18653/v1/2023.findings-emnlp.267",
    pages = "4054--4063"
}


@inproceedings{gokceoglu2024multi,
  author  = {{G{\"o}k{\c{c}}eo{\u{g}}lu}, G{\"o}k{\c{c}}en and {{\c{C}}avuşo{\u{g}}lu}, Devrim and Akbas, Emre and Dolcerocca, {\"O}zen},
  title   = {A Multi-Level Multi-Label Text Classification Dataset of 19th Century {Ottoman} and {Russian} Literary and Critical Texts},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2024},
  address = {Bangkok, Thailand},
  year    = {2024},
  pages   = {6585--6596},
  doi     = {10.18653/v1/2024.findings-acl.393},
  url     = {https://aclanthology.org/2024.findings-acl.393}
}

@article{tarekegn2024deep,
  title={Deep Learning for Multi-Label Learning: A Comprehensive Survey},
  author={Tarekegn, Adane Nega and Giacobini, Mario and Michalak, Krzysztof},
  journal={arXiv preprint arXiv:2401.16549},
  year={2024}
}

@article{chen2021research,
  title={Research on Multi-label Text Classification Method Based on {tALBERT-CNN}},
  author={Chen, Xudong and others},
  journal={International Journal of Computational Intelligence Systems},
  volume={14},
  number={1},
  pages={3436--3454},
  year={2021}
}

@article{wang2025hierarchical,
  title={Hierarchical contrastive learning for multi-label text classification},
  author={Wang, Qian and Zhang, Hongyu and Zhang, Wei and others},
  journal={Scientific Reports},
  volume={15},
  pages={1234},
  year={2025}
}

@article{sahoo2024systematic,
  title={A systematic survey of prompt engineering in large language models: Techniques and applications},
  author={Sahoo, Pranab and Singh, Ayush Kumar and Saha, Sriparna and Jain, Vinija and Mondal, Samrat and Chadha, Aman},
  journal={arXiv preprint arXiv:2402.07927},
  year={2024}
}

@article{vatsal2024survey,
  title={A Survey of Prompt Engineering Methods in Large Language Models for Different {NLP} Tasks},
  author={Vatsal, Shubham and Dubey, Harsh},
  journal={arXiv preprint arXiv:2407.12994},
  year={2024}
}

@article{zhang2025unleashing,
  title={Unleashing the potential of prompt engineering for large language models},
  author={Zhang, Yiming and Chen, Zhuosheng and others},
  journal={Information Fusion},
  volume={103},
  pages={102084},
  year={2025}
}

@article{brown2020language,
  title={Language Models are Few-Shot Learners},
  author={Brown, Tom B and Mann, Benjamin and Ryder, Nick and others},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={1877--1901},
  year={2020}
}

@inproceedings{an2023skill,
  title={Skill-Based Few-Shot Selection for In-Context Learning},
  author={An, Shengnan and Zhou, Bo and Lin, Zeqi and others},
  booktitle={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
  pages={13472--13492},
  year={2023}
}

@article{wu2024incontext,
  title={Why In-Context Learning Models are Good Few-Shot Learners?},
  author={Wu, Xinyi and Chen, Yao and others},
  journal={arXiv preprint arXiv:2410.12345},
  year={2024}
}

@article{panigrahi2024representation,
  title={The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models},
  author={Panigrahi, Aarushi and Sutherland, Dara J and others},
  journal={Advances in Neural Information Processing Systems},
  volume={37},
  year={2024}
}

@article{mustafa2021word2vec,
  title={{Word2Vec} Based Multi-Label Classification of Research Articles},
  author={Mustafa, Ghulam and Habib, Muhammad Awais and Khan, Abid Ali and Ashraf, Muhammad Usman and Ashraf, Muhammad Wasif},
  journal={IEEE Access},
  volume={9},
  pages={142569--142582},
  year={2021},
  publisher={IEEE}
}

@inproceedings{chalkidis2019neural,
  title={Neural Legal Judgment Prediction in {English}},
  author={Chalkidis, Ilias and Androutsopoulos, Ion and Aletras, Nikolaos},
  booktitle={Proceedings of ACL},
  pages={4317--4323},
  year={2019}
}

% I think this is fully hallucinated, removed from main.tex
@inproceedings{peskine2023llmclassification,
  title={Large Language Models for Zero-Shot Multi-Label Text Classification},
  author={Peskine, Adam and Moulin, Lou and Scialom, Thomas},
  booktitle={Proceedings of EMNLP'23},
  year={2023}
}

@inproceedings{schick2021exploiting,
  title={Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference},
  author={Schick, Timo and Sch{\"u}tze, Hinrich},
  booktitle={Proceedings of EACL},
  pages={255--269},
  year={2021}
}
@article{petukhova2024text,
title = {Text clustering with large language model embeddings},
journal = {International Journal of Cognitive Computing in Engineering},
volume = {6},
pages = {100-108},
year = {2025},
issn = {2666-3074},
doi = {https://doi.org/10.1016/j.ijcce.2024.11.004},
url = {https://www.sciencedirect.com/science/article/pii/S2666307424000482},
author = {Alina Petukhova and João P. Matos-Carvalho and Nuno Fachada}
}

@article{chalkidis2019neural,
  title={Neural Legal Judgment Prediction in {English}},
  author={Chalkidis, Ilias and others},
  journal={Proceedings of ACL 2019},
  pages={4317--4323},
  year={2019},
  note={Verify this is the BERT multi-label paper you want}
}


@article{cohen1960kappa,
  author  = {Cohen, Jacob},
  title   = {A Coefficient of Agreement for Nominal Scales},
  journal = {Educational and Psychological Measurement},
  year    = {1960},
  volume  = {20},
  number  = {1},
  pages   = {37--46},
  doi     = {10.1177/001316446002000104}
}

@article{landis1977measurement,
  author  = {Landis, J. Richard and Koch, Gary G.},
  title   = {The Measurement of Observer Agreement for Categorical Data},
  journal = {Biometrics},
  year    = {1977},
  volume  = {33},
  number  = {1},
  pages   = {159--174},
  doi     = {10.2307/2529310}
}

@article{artstein2008agreement,
  author  = {Artstein, Ron and Poesio, Massimo},
  title   = {Inter-Coder Agreement for Computational Linguistics},
  journal = {Computational Linguistics},
  year    = {2008},
  volume  = {34},
  number  = {4},
  pages   = {555--596},
  doi     = {10.1162/coli.07-034-R2}
}

@article{lombard2002intercoder,
  author  = {Lombard, Matthew and Snyder-Duch, Jennifer and Bracken, Cheryl Campanella},
  title   = {Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability},
  journal = {Human Communication Research},
  year    = {2002},
  volume  = {28},
  number  = {4},
  pages   = {587--604},
  doi     = {10.1111/j.1468-2958.2002.tb00826.x}
}

@book{krippendorff2013content,
  author    = {Krippendorff, Klaus},
  title     = {Content Analysis: An Introduction to Its Methodology},
  edition   = {3},
  year      = {2013},
  publisher = {SAGE},
  address   = {Thousand Oaks, CA},
  isbn      = {9781412983150}
}

@article{hayes2007kalpha,
  author  = {Hayes, Andrew F. and Krippendorff, Klaus},
  title   = {Answering the Call for a Standard Reliability Measure for Coding Data},
  journal = {Communication Methods and Measures},
  year    = {2007},
  volume  = {1},
  number  = {1},
  pages   = {77--89},
  doi     = {10.1080/19312450709336664}
}

@inproceedings{nowak2010multilabelIAA,
  author    = {Nowak, Steffen and R{\"u}ger, Stefan},
  title     = {How Reliable Are Annotations via Crowdsourcing? A Study about Inter-Annotator Agreement for Multi-Label Image Annotation},
  booktitle = {Proceedings of the International Conference on Multimedia Information Retrieval},
  year      = {2010},
  pages     = {557--566},
  doi       = {10.1145/1743384.1743478}
}

@article{davani2022disagreements,
  author  = {Mostafazadeh Davani, Aida and D{\'i}az, Mark and Prabhakaran, Vinodkumar},
  title   = {Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations},
  journal = {Transactions of the Association for Computational Linguistics},
  year    = {2022},
  volume  = {10},
  pages   = {92--110},
  doi     = {10.1162/tacl_a_00449}
}