Large language models as tax attorneys: a case study in legal capabilities emergence.
- DOI
- 10.1098/rsta.2023.0159
- Published
- 2024 Apr 15
- Container
- Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1098/rsta.2023.0159,
title = {Large language models as tax attorneys: a case study in legal capabilities emergence.},
author = {Nay JJ and Karamardian D and Lawsky SB and Tao W and Bhat M and Jain R and Lee AT and Choi JH and Kasai J},
year = {2024},
journal = {Philosophical transactions. Series A, Mathematical, physical, and engineering sciences},
doi = {10.1098/rsta.2023.0159},
url = {https://doi.org/10.1098/rsta.2023.0159}
}RIS
TY - JOUR TI - Large language models as tax attorneys: a case study in legal capabilities emergence. AU - Nay JJ AU - Karamardian D AU - Lawsky SB AU - Tao W AU - Bhat M AU - Jain R AU - Lee AT AU - Choi JH AU - Kasai J PY - 2024 JO - Philosophical transactions. Series A, Mathematical, physical, and engineering sciences DO - 10.1098/rsta.2023.0159 UR - https://doi.org/10.1098/rsta.2023.0159 ER -
APA
JJ, N., D, K., SB, L., W, T., M, B., R, J., AT, L., JH, C., & J, K. (2024). Large language models as tax attorneys: a case study in legal capabilities emergence.. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. https://doi.org/10.1098/rsta.2023.0159
Source records
- pubmed · retrieved 2026-09-26T20:56:47.402Z