John J. Nay - RankMe

19 papers A* 1Misc 3Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation. ACL (1) Atharvan Dogra, Krishna Pillutla, Ameet Deshpande, Ananya B. Sai, John J. Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran
2024	J	`jnl`	Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation. CoRR Atharvan Dogra, Ameet Deshpande, John J. Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran
2023	J	`jnl`	ARB: Advanced Reasoning Benchmark for Large Language Models. CoRR Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, Pranav Tadepalli, Paula Vidas, Alexander Kranias, John J. Nay, Kshitij Gupta, Aran Komatsuzaki
2023	J	`jnl`	Large Language Models as Corporate Lobbyists. CoRR John J. Nay
2023	J	`jnl`	Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards. CoRR John J. Nay
2023	J	`jnl`	Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence. CoRR John J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao, Meghana Bhat, Raghav Jain, Aaron Travis Lee, Jonathan H. Choi, Jungo Kasai
2023	A*	`conf`	LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 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
2023	J	`jnl`	LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR 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
2022	J	`jnl`	Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans. CoRR John J. Nay
2017	—	`—`	A Machine Learning Approach to Modeling Dynamic Decision-Making in Strategic Interactions and Prediction Markets. John J. Nay
2016	J	`jnl`	Betting and Belief: Prediction Markets and Attribution of Climate Change. CoRR John J. Nay, Martin Van der Linden, Jonathan M. Gilligan
2016	Misc	`conf`	Betting and belief: Prediction markets and attribution of climate change. WSC John J. Nay, Martin Van der Linden, Jonathan M. Gilligan
2016	J	`jnl`	Data-Driven Dynamic Decision Models. CoRR John J. Nay, Jonathan M. Gilligan
2016	—	`conf`	Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text. NLP+CSS@EMNLP John J. Nay
2016	J	`jnl`	Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text. CoRR John J. Nay
2016	J	`jnl`	Predicting Human Cooperation. CoRR John J. Nay, Yevgeniy Vorobeychik
2016	J	`jnl`	Predicting and Understanding Law-Making with Machine Learning. CoRR John J. Nay
2015	Misc	`conf`	Data-driven dynamic decision models. WSC John J. Nay, Jonathan M. Gilligan
2015	Misc	`conf`	Participatory simulations of urban flooding for learning and decision support. WSC Jonathan M. Gilligan, Corey E. Brady, Janey V. Camp, John J. Nay, Pratim Sengupta