The 3rd International Workshop on Mining and Learning in the Legal Domain
Author:
Affiliation:
1. Thomson Reuters Labs, Toronto, Canada
2. Thomson Reuters Labs, London, United Kingdom
3. University of Oxford, Oxford, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583780.3615308
Reference8 articles.
1. Rishi Bommasani et al. 2022. On the Opportunities and Risks of Foundation Models. https://doi.org/10.48550/arXiv.2108.07258 arxiv: 2108.07258 [cs] 10.48550/arXiv.2108.07258
2. Rishi Bommasani et al. 2022. On the Opportunities and Risks of Foundation Models. https://doi.org/10.48550/arXiv.2108.07258 arxiv: 2108.07258 [cs]
3. Context-Aware Classification of Legal Document Pages
4. Daniel Martin Katz , Michael James Bommarito , Shang Gao, and Pablo Arredondo. 2023 . GPT-4 Passes the Bar Exam . Daniel Martin Katz, Michael James Bommarito, Shang Gao, and Pablo Arredondo. 2023. GPT-4 Passes the Bar Exam.
5. Eric Martínez. 2023. Re-Evaluating GPT-4's Bar Exam Performance. https://doi.org/10.2139/ssrn.4441311 10.2139/ssrn.4441311
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