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We evaluated the capability of generative pre-trained transformers~(GPT-4) in analysis of textual data in tasks that require highly specialized domain expertise.
Language models are few-shot learners,
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Human-aided computer cognition for e-discovery,
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Computing krippendorff’s alpha-reliability (2011)
K. Krippendorff, · 2011
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Applying an interactive machine learning approach to statutory analysis,
J. Šavelka, G. Trivedi, K. D. Ashley, · 2015
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Autonomy and reliability of continuous active learning for technology-assisted review,
G. V. Cormack, M. R. Grossman, · 2015
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Scalability of continuous active learning for reliable high-recall text classification,
G. V. Cormack, M. R. Grossman, · 2016
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Extracting case law sentences for argumentation about the meaning of statutory terms,
J. Šavelka, K. D. Ashley, · 2016
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Sentence boundary detection in adjudicatory decisions in the united states,
J. Savelka, V. R. Walker, M. Grabmair, K. D. Ashley, · 2017
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Classifying legal norms with active machine learning.,
B. Waltl, J. Muhr, I. Glaser, G. Bonczek, E. Scepankova, F. Matthes, · 2017
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Attention is all you need,
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, I. Polosukhin, · 2017
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Improving language understanding by generative pre-training (2018)
A. Radford, K. Narasimhan, T. Salimans, I. Sutskever, · 2018
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Computer-assisted creation of boolean search rules for text classification in the legal domain.,
H. Westermann, J. Savelka, V. R. Walker, K. D. Ashley, K. Benyekhlef, · 2019
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Improving sentence retrieval from case law for statutory interpretation,
J. Savelka, H. Xu, K. D. Ashley, · 2019
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Language models are unsupervised multitask learners (2019)
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever, · 2019
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Sentence embeddings and high-speed similarity search for fast computer assisted annotation of legal documents,
H. Westermann, J. Savelka, V. R. Walker, K. D. Ashley, K. Benyekhlef, · 2020
Cited alongside, same era.
Learning to rank sentences for explaining statutory terms.,
J. Savelka, K. D. Ashley, · 2020
Cited alongside, same era.
J. Savelka, Discovering sentences for argumentation about the meaning of statutory terms, Ph.D. thesis, University of Pittsburgh, 2020
2020
Cited alongside, same era.
2021
Cited alongside, same era.
Discovering explanatory sentences in legal case decisions using pre-trained language models,
J. Šavelka, K. D. Ashley, · 2021
Cited alongside, same era.
2023
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F. Huang, H. Kwak, J. An, · 2023
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2023
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2023
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Legal information retrieval for understanding statutory terms,
J. Šavelka, K. D. Ashley, · 2021
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Chain of thought prompting elicits reasoning in large language models,
J. Wei, X. Wang, D. Schuurmans, M. Bosma, E. Chi, Q. Le, D. Zhou, · 2022
Cited alongside, same era.
2022
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2022
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M. Bommarito, D. M. Katz, · 2022
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On the role of past treatment of terms from written laws in legal reasoning,
J. Savelka, K. D. Ashley, · 2022
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,
P. Liu, W. Yuan, J. Fu, Z. Jiang, H. Hayashi, G. Neubig, · 2023
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D. M. Katz, M. J. Bommarito, S. Gao, P. Arredondo, · 2023
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Classification of trademark distinctiveness using openai gpt 3.5 model,
J. Goodhue, Y. Wei, · 2023
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Can gpt-3 perform statutory reasoning?,
A. Blair-Stanek, N. Holzenberger, B. Van Durme, · 2023
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How well do sota legal reasoning models support abductive reasoning?,
H.-T. Nguyen, R. Goebel, F. Toni, K. Stathis, K. Satoh, · 2023
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Explaining legal concepts with augmented large language models (gpt-4),
J. Savelka, K. Ashley, M. Gray, H. Westermann, H. Xu, · 2023
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Blind judgement: Agent-based supreme court modelling with gpt,
S. Hamilton, · 2023
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Chatgpt as an artificial lawyer?,
J. Tan, H. Westermann, K. Benyekhlef, · 2023
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J. Savelka, · 2023
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Llmediator: Gpt-4 assisted online dispute resolution,
H. Westermann, J. Savelka, K. Benyekhlef, · 2023
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OpenAI, Gpt-4 technical report, 2023. arXiv:2303.08774
2023
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