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2020 – today
- 2023
[c5]Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, K. Aditya, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 2023- [i11]John J. Nay:
Large Language Models as Corporate Lobbyists. CoRR abs/2301.01181 (2023) - [i10]John J. Nay:
Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards. CoRR abs/2301.10095 (2023) - [i9]John J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao, Meghana Bhat, Raghav Jain, Aaron Travis Lee, Jonathan H. Choi, Jungo Kasai:
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence. CoRR abs/2306.07075 (2023) - [i8]Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, Pranav Tadepalli
, Paula Vidas, Alexander Kranias, John J. Nay, Kshitij Gupta, Aran Komatsuzaki:
ARB: Advanced Reasoning Benchmark for Large Language Models. CoRR abs/2307.13692 (2023) - [i7]Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR abs/2308.11462 (2023) - 2022
- [i6]John J. Nay:
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans. CoRR abs/2209.13020 (2022)
2010 – 2019
- 2017
- [b1]John J. Nay:
A Machine Learning Approach to Modeling Dynamic Decision-Making in Strategic Interactions and Prediction Markets. Vanderbilt University, Nashville, Tennessee, USA, 2017 - 2016
- [c4]John J. Nay:
Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text. NLP+CSS@EMNLP 2016: 49-54 - [c3]John J. Nay, Martin Van der Linden, Jonathan M. Gilligan:
Betting and belief: Prediction markets and attribution of climate change. WSC 2016: 1666-1677 - [i5]John J. Nay, Yevgeniy Vorobeychik:
Predicting Human Cooperation. CoRR abs/1601.07792 (2016) - [i4]John J. Nay, Jonathan M. Gilligan:
Data-Driven Dynamic Decision Models. CoRR abs/1603.08150 (2016) - [i3]John J. Nay, Martin Van der Linden, Jonathan M. Gilligan:
Betting and Belief: Prediction Markets and Attribution of Climate Change. CoRR abs/1603.08961 (2016) - [i2]John J. Nay:
Predicting and Understanding Law-Making with Machine Learning. CoRR abs/1607.02109 (2016) - [i1]John J. Nay:
Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text. CoRR abs/1609.06616 (2016) - 2015
- [c2]John J. Nay, Jonathan M. Gilligan:
Data-driven dynamic decision models. WSC 2015: 2752-2763 - [c1]Jonathan M. Gilligan, Corey E. Brady, Janey V. Camp, John J. Nay, Pratim Sengupta:
Participatory simulations of urban flooding for learning and decision support. WSC 2015: 3174-3175
Coauthor Index
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