% 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}
}

@article{yunxiang2023chatdoctor,
  title={Chatdoctor: A medical chat model fine-tuned on llama model using medical domain knowledge},
  author={Yunxiang, Li and Zihan, Li and Kai, Zhang and Ruilong, Dan and You, Zhang},
  journal={arXiv preprint arXiv:2303.14070},
  year={2023}
}

@article{han2023medalpaca,
  title={MedAlpaca--An Open-Source Collection of Medical Conversational AI Models and Training Data},
  author={Han, Tianyu and Adams, Lisa C and Papaioannou, Jens-Michalis and Grundmann, Paul and Oberhauser, Tom and L{\"o}ser, Alexander and Truhn, Daniel and Bressem, Keno K},
  journal={arXiv preprint arXiv:2304.08247},
  year={2023}
}

@article{wu2023pmc,
  title={Pmc-llama: Further finetuning llama on medical papers},
  author={Wu, Chaoyi and Zhang, Xiaoman and Zhang, Ya and Wang, Yanfeng and Xie, Weidi},
  journal={arXiv preprint arXiv:2304.14454},
  year={2023}
}

@article{xiong2023doctorglm,
  title={Doctorglm: Fine-tuning your chinese doctor is not a herculean task},
  author={Xiong, Honglin and Wang, Sheng and Zhu, Yitao and Zhao, Zihao and Liu, Yuxiao and Wang, Qian and Shen, Dinggang},
  journal={arXiv preprint arXiv:2304.01097},
  year={2023}
}

@article{gao2023ophglm,
  title={OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue},
  author={Gao, Weihao and Deng, Zhuo and Niu, Zhiyuan and Rong, Fuju and Chen, Chucheng and Gong, Zheng and Zhang, Wenze and Xiao, Daimin and Li, Fang and Cao, Zhenjie and others},
  journal={arXiv preprint arXiv:2306.12174},
  year={2023}
}

@article{singhal2023large,
  title={Large language models encode clinical knowledge},
  author={Singhal, Karan and Azizi, Shekoofeh and Tu, Tao and Mahdavi, S Sara and Wei, Jason and Chung, Hyung Won and Scales, Nathan and Tanwani, Ajay and Cole-Lewis, Heather and Pfohl, Stephen and others},
  journal={Nature},
  volume={620},
  number={7972},
  pages={172--180},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

@article{lievin2022can,
  title={Can large language models reason about medical questions?},
  author={Li{\'e}vin, Valentin and Hother, Christoffer Egeberg and Winther, Ole},
  journal={arXiv preprint arXiv:2207.08143},
  year={2022}
}

@inproceedings{moor2023med,
  title={Med-flamingo: a multimodal medical few-shot learner},
  author={Moor, Michael and Huang, Qian and Wu, Shirley and Yasunaga, Michihiro and Dalmia, Yash and Leskovec, Jure and Zakka, Cyril and Reis, Eduardo Pontes and Rajpurkar, Pranav},
  booktitle={Machine Learning for Health (ML4H)},
  pages={353--367},
  year={2023},
  organization={PMLR}
}

@article{nori2023capabilities,
  title={Capabilities of gpt-4 on medical challenge problems},
  author={Nori, Harsha and King, Nicholas and McKinney, Scott Mayer and Carignan, Dean and Horvitz, Eric},
  journal={arXiv preprint arXiv:2303.13375},
  year={2023}
}

@article{acerbi2023large,
  title={Large language models show human-like content biases in transmission chain experiments},
  author={Acerbi, Alberto and Stubbersfield, Joseph M},
  journal={Proceedings of the National Academy of Sciences},
  volume={120},
  number={44},
  pages={e2313790120},
  year={2023},
  publisher={National Acad Sciences}
}

@article{jullien2023semeval,
  title={SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data},
  author={Jullien, Ma{\"e}l and Valentino, Marco and Frost, Hannah and O'Regan, Paul and Landers, Donal and Freitas, Andr{\'e}},
  journal={arXiv preprint arXiv:2305.02993},
  year={2023}
}

@article{raffel2020exploring,
  title={Exploring the limits of transfer learning with a unified text-to-text transformer},
  author={Raffel, Colin and Shazeer, Noam and Roberts, Adam and Lee, Katherine and Narang, Sharan and Matena, Michael and Zhou, Yanqi and Li, Wei and Liu, Peter J},
  journal={The Journal of Machine Learning Research},
  volume={21},
  number={1},
  pages={5485--5551},
  year={2020},
  publisher={JMLRORG}
}

@article{lehman2023we,
  title={Do We Still Need Clinical Language Models?},
  author={Lehman, Eric and Hernandez, Evan and Mahajan, Diwakar and Wulff, Jonas and Smith, Micah J and Ziegler, Zachary and Nadler, Daniel and Szolovits, Peter and Johnson, Alistair and Alsentzer, Emily},
  journal={arXiv preprint arXiv:2302.08091},
  year={2023}
}

@article{chung2022scaling,
  title={Scaling instruction-finetuned language models},
  author={Chung, Hyung Won and Hou, Le and Longpre, Shayne and Zoph, Barret and Tay, Yi and Fedus, William and Li, Yunxuan and Wang, Xuezhi and Dehghani, Mostafa and Brahma, Siddhartha and others},
  journal={arXiv preprint arXiv:2210.11416},
  year={2022}
}

@inproceedings{kanakarajan2023saama,
  title={Saama AI Research at SemEval-2023 Task 7: Exploring the Capabilities of Flan-T5 for Multi-evidence Natural Language Inference in Clinical Trial Data},
  author={Kanakarajan, Kamal Raj and Sankarasubbu, Malaikannan},
  booktitle={Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)},
  pages={995--1003},
  year={2023}
}

@article{romanov2018lessons,
  title={Lessons from natural language inference in the clinical domain},
  author={Romanov, Alexey and Shivade, Chaitanya},
  journal={arXiv preprint arXiv:1808.06752},
  year={2018}
}

@article{jiang2023mistral,
  title={Mistral 7B},
  author={Jiang, Albert Q and Sablayrolles, Alexandre and Mensch, Arthur and Bamford, Chris and Chaplot, Devendra Singh and Casas, Diego de las and Bressand, Florian and Lengyel, Gianna and Lample, Guillaume and Saulnier, Lucile and others},
  journal={arXiv preprint arXiv:2310.06825},
  year={2023}
}

@article{yang2022gatortron,
  title={Gatortron: A large clinical language model to unlock patient information from unstructured electronic health records},
  author={Yang, Xi and Chen, Aokun and PourNejatian, Nima and Shin, Hoo Chang and Smith, Kaleb E and Parisien, Christopher and Compas, Colin and Martin, Cheryl and Flores, Mona G and Zhang, Ying and others},
  journal={arXiv preprint arXiv:2203.03540},
  year={2022}
}

@article{phan2021scifive,
  title={Scifive: a text-to-text transformer model for biomedical literature},
  author={Phan, Long N and Anibal, James T and Tran, Hieu and Chanana, Shaurya and Bahadroglu, Erol and Peltekian, Alec and Altan-Bonnet, Gr{\'e}goire},
  journal={arXiv preprint arXiv:2106.03598},
  year={2021}
}

@article{hu2021lora,
  title={Lora: Low-rank adaptation of large language models},
  author={Hu, Edward J and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu},
  journal={arXiv preprint arXiv:2106.09685},
  year={2021}
}

@article{ravichander2019equate,
  title={EQUATE: A benchmark evaluation framework for quantitative reasoning in natural language inference},
  author={Ravichander, Abhilasha and Naik, Aakanksha and Rose, Carolyn and Hovy, Eduard},
  journal={arXiv preprint arXiv:1901.03735},
  year={2019}
}

@article{li2022data,
  title={Data augmentation approaches in natural language processing: A survey},
  author={Li, Bohan and Hou, Yutai and Che, Wanxiang},
  journal={Ai Open},
  volume={3},
  pages={71--90},
  year={2022},
  publisher={Elsevier}
}

@article{rajaee2022looking,
  title={Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference},
  author={Rajaee, Sara and Yaghoobzadeh, Yadollah and Pilehvar, Mohammad Taher},
  journal={arXiv preprint arXiv:2211.03862},
  year={2022}
}

@article{moosavi2020improving,
  title={Improving robustness by augmenting training sentences with predicate-argument structures},
  author={Moosavi, Nafise Sadat and de Boer, Marcel and Utama, Prasetya Ajie and Gurevych, Iryna},
  journal={arXiv preprint arXiv:2010.12510},
  year={2020}
}

@article{min2020syntactic,
  title={Syntactic data augmentation increases robustness to inference heuristics},
  author={Min, Junghyun and McCoy, R Thomas and Das, Dipanjan and Pitler, Emily and Linzen, Tal},
  journal={arXiv preprint arXiv:2004.11999},
  year={2020}
}

@article{poliak2018hypothesis,
  title={Hypothesis only baselines in natural language inference},
  author={Poliak, Adam and Naradowsky, Jason and Haldar, Aparajita and Rudinger, Rachel and Van Durme, Benjamin},
  journal={arXiv preprint arXiv:1805.01042},
  year={2018}
}

@article{mccoy2019right,
  title={Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference},
  author={McCoy, R Thomas and Pavlick, Ellie and Linzen, Tal},
  journal={arXiv preprint arXiv:1902.01007},
  year={2019}
}

@article{stacey2020avoiding,
  title={Avoiding the hypothesis-only bias in natural language inference via ensemble adversarial training},
  author={Stacey, Joe and Minervini, Pasquale and Dubossarsky, Haim and Riedel, Sebastian and Rockt{\"a}schel, Tim},
  journal={arXiv preprint arXiv:2004.07790},
  year={2020}
}

@inproceedings{jullien-etal-2024-semeval,
    title = "{S}em{E}val-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials",
    author = {Jullien, Ma{\"e}l  and
      Valentino, Marco  and
      Freitas, Andr{\'e}},
    booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
    year = "2024",
    publisher = "Association for Computational Linguistics",
}