Can gpt-4 support analysis of textual data in tasks requiring highly specialized domain expertise? J Savelka, KD Ashley, MA Gray, H Westermann, H Xu arXiv preprint arXiv:2306.13906, 2023 | 26 | 2023 |
Explaining legal concepts with augmented large language models (gpt-4) J Savelka, KD Ashley, MA Gray, H Westermann, H Xu arXiv preprint arXiv:2306.09525, 2023 | 20 | 2023 |
Toward automatically identifying legally relevant factors M Gray, J Savelka, W Oliver, K Ashley Legal knowledge and information systems, 53-62, 2022 | 9 | 2022 |
Automatic identification and empirical analysis of legally relevant factors M Gray, J Savelka, W Oliver, K Ashley Proceedings of the Nineteenth International Conference on Artificial …, 2023 | 6 | 2023 |
Empirical legal analysis simplified: reducing complexity through automatic identification and evaluation of legally relevant factors MA Gray, J Savelka, WM Oliver, KD Ashley Philosophical Transactions of the Royal Society A 382 (2270), 20230155, 2024 | 2 | 2024 |
Can GPT Alleviate the Burden of Annotation? M Gray, J Savelka, W Oliver, K Ashley Legal Knowledge and Information Systems, 157-166, 2023 | 2 | 2023 |
Can GPT Alleviate the Burden of M GRAY, J SAVELKA, W OLIVER, K ASHLEY | | 2022 |
Toward Automatically Identifying Legally Relevant Factors G Morgan, J r AVELKA, W OLIVER, K ASHLEY | | 2022 |
Identifying the Factors of Suspicion MA Gray, WM Oliver, A Crivella Legal Knowledge and Information Systems, 227-230, 2020 | | 2020 |
Reducing Subjectivity and Bias in an Officer's Analysis of Suspicion in Drug Interdiction Stops A Crivella, WM Oliver, MA Gray Proceedings of the Seventeenth International Conference on Artificial …, 2019 | | 2019 |
Coding Suspicion. A Crivella, WM Oliver, MA Gray JURIX, 190-194, 2018 | | 2018 |