[102] Shounak Paul, Pawan Goyal, and Saptarshi Ghosh. Lesicin: A heterogeneous graph-based approach for automatic legal statute identification from indian legal documents. In Proceedings of the AAAI conference on artificial intelligence, volume 36, pages 11139-11146, 2022.
[103] Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei, and Julien Launay. The RefinedWeb dataset for Falcon LLM: outperforming curated corpora with web data, and web data only. arXiv preprint arXiv:2306.01116, 2023.
[104] Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, et al. Check your facts and try again: Improving large language models with external knowledge and automated feedback. arXiv preprint arXiv:2302.12813, 2023.
[105] Ethan Perez, Douwe Kiela, and Kyunghyun Cho. True few-shot learning with language models. Advances in neural information processing systems, 34:11054-11070, 2021.
[106] Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel. Language models as knowledge bases? arXiv preprint arXiv:1909.01066, 2019.
[107] Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, and Christopher Ré. Hyena hierarchy: Towards larger convolutional language models. arXiv preprint arXiv:2302.10866, 2023.
[108] Juliano Rabelo, Randy Goebel, Mi-Young Kim, Yoshinobu Kano, Masaharu Yoshioka, and Ken Satoh. Overview and discussion of the competition on legal information extraction/entailment (coliee) 2021. The Review of Socionetwork Strategies, 16(1):111–133, 2022.
[109] Vishvakesan Rasiah, Ronja Stern, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E Ho, and Joel Niklaus. Scale: Scaling up the complexity for advanced language model evaluation. arXiv preprint arXiv:2306.09237, 2023.
[110] Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, and Norman Sadeh. Question answering for privacy policies: Combining computational and legal perspectives. arXiv preprint arXiv:1911.00841, 2019.
[111] Danilo Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anelica Ramos, William Wang, Zhiheng Huang, et al. Street: A multi-task structured reasoning and explanation benchmark. arXiv preprint arXiv:2302.06729, 2023.
[112] James Romoser. No, ruth bader ginsburg did not dissent in overgefell — and other things chatgpt gets wrong about the supreme court. SCOTUSblog, 2023.
[113] Erik F Sang and Fien De Meulder. Introduction to the conll-2003 shared task: Language-independent named entity recognition. arXiv preprint cs/0306050, 2003.
[114] Jaromir Savelka. Unlocking practical applications in legal domain: Evaluation of gpt for zero-shot semantic annotation of legal texts. arXiv preprint arXiv:2305.04417, 2023.
[115] Jaromir Savelka, Kevin D Ashley, Morgan A Gray, Hannes Westermann, and Huihui Xu. Can gpt-4 support analysis of textual data in tasks requiring highly specialized domain expertise? arXiv preprint arXiv:2306.13906, 2023.
[116] Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Galle, et al. Bloom: A 176b-parameter open-access multilingual language model. arXiv preprint arXiv:2211.05100, 2022.
[117] Robert E Scott, Stephen J Choi, and Mitu Gulati. Contractual landmines. Available at SSRN, 2022.
[118] Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, and Doug Downey. Multi-lexsum: Real-world summaries of civil rights lawsuits at multiple granularities. arXiv preprint arXiv:2206.10883, 2022.
[119] Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, and Saptarshi Ghosh. Legal case document summarization: Extractive and abstractive methods and their evaluation. arXiv preprint arXiv:2210.07544, 2022.
[120] Cecilia Silver. Breaking news: Drafting client alerts to prepare for practice. Perspectives: Teaching Legal Research and Writing, 27, 2019.