[16] Jason Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen Bach, Stella Biderman, Mario Sanger, Bo Wang, Alison Callahan, Daniel León Perinán, Théo Gigant, Patrick Haller, Jenny Chim, Jose Posada, John Giorgi, Karthik Rangasai Sivaraman, Marc Pamies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, and Benjamin Beilharz. Bigbio: A framework for data-centric biomedical natural language processing. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, and A. Oh, editors, Advances in Neural Information Processing Systems, volume 35, pages 25792-25806. Curran Associates, Inc., 2022. URL https://proceedings.neurips.cc/paper_files/paper/2022/file/a583d2197eafc4afdd41f5b876555c5-Paper-Datasets_and_Benchmarks.pdf.
[17] Leo Gao, Jonathan Tow, Stella Biderman, Sid Black, Anthony DiPofi, Charles Foster, Laurence Golding, Jeffrey Hsu, Kyle McDonell, Niklas Muennighoff, Jason Phang, Laria Reynolds, Eric Tang, Anish Thite, Ben Wang, Kevin Wang, and Andy Zou. A framework for few-shot language model evaluation, September 2021. URL https://doi.org/10.5281/zenodo.5371628.
[18] Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, and Kate Crawford. Datasheets for datasets. Commun. ACM, 64(12):86-92, 2021. doi: 10.1145/3458723. URL https://doi.org/10.1145/3458723.
[19] Maura R Grossman, Gordon V Cormack, and Adam Roegiest. TREC 2016 Total Recall Track Overview. In TREC, 2016.
[20] Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. Domain-specific language model pretraining for biomedical natural language processing. ACM Trans. Comput. Heal., 3(1):2:1-2:23, 2022. doi: 10.1145/3458754. URL https://doi.org/10.1145/3458754.
[21] Mandy Guo, Joshua Ainslie, David Uthus, Santiago Ontanon, Jianmo Ni, Yun-Hsuan Sung, and Yinfei Yang. Longt5: Efficient text-to-text transformer for long sequences. arXiv preprint arXiv:2112.07916, 2021.
[22] Abdelhakim Hannousse and Salima Yahiouche. A semi-automatic document screening system for computer science systematic reviews. In Mediterranean Conference on Pattern Recognition and Artificial Intelligence, pages 201-215. Springer, 2022.
[23] Kazuma Hashimoto, Georgios Kontonatsios, Makoto Miwa, and Sophia Ananiadou. Topic detection using paragraph vectors to support active learning in systematic reviews. Journal of Biomedical Informatics, 62: 59-65, 8 2016.
[24] Julian PT Higgins, James Thomas, Jacqueline Chandler, Miranda Cumpston, Tianjing Li, Matthew J Page, and Vivian A Welch. Cochrane handbook for systematic reviews of interventions. John Wiley & Sons, 2019.
[25] hitz-zentroa. LM Contamination Index. GitHub repository, 2023. URL https://github.com/hitz-zentroa/lm-contamination.
[26] Jingwen Hou, Xiaochen Wang, Jean-Jacques Dubois, R. Byron Rice, Amanda Haddock, and Yue Wang. Extreme systematic reviews: A large literature screening dataset to support environmental policymaking. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, CIKM '22, page 4029-4033, New York, NY, USA, 2022. Association for Computing Machinery. ISBN 9781450392365. doi: 10.1145/3511808.3557600. URL https://doi.org/10.1145/3511808.3557600.
[27] Brian E. Howard, Jason Phillips, Kyle Miller, Arpit Tandon, Deepak Mav, Mihir R. Shah, Stephanie Holmgren, Katherine E. Pelch, Vickie Walker, Andrew A. Rooney, Malcolm Macleod, Ruchir R. Shah, and Kristina Thayer. SWIFT-Review: A text-mining workbench for systematic review. Systematic Reviews, 5(1):1-16, 5 2016. ISSN 20464053. doi: 10.1186/s13643-016-0263-z. URL https://link.springer.com/articles/10.1186/s13643-016-0263-z.
[28] Brian E. Howard, Jason Phillips, Arpit Tandon, Adyasha Maharana, Rebecca Elmore, Deepak Mav, Alex Sedykh, Kristina Thayer, B. Alex Merrick, Vickie Walker, Andrew Rooney, and Ruchir R. Shah. SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation. Environment International, 138:105623, 5 2020. ISSN 0160-4120. doi: 10.1016/J.envINT.2020.105623.