ARB: Advanced Reasoning Benchmark for Large Language Models.
CoRR, 2023
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence.
CoRR, 2023
Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards.
CoRR, 2023
Large Language Models as Corporate Lobbyists.
CoRR, 2023
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans.
CoRR, 2022
A Machine Learning Approach to Modeling Dynamic Decision-Making in Strategic Interactions and Prediction Markets.
PhD thesis, 2017
Predicting Human Cooperation.
CoRR, 2016
Predicting and Understanding Law-Making with Machine Learning.
CoRR, 2016
Betting and belief: Prediction markets and attribution of climate change.
Proceedings of the Winter Simulation Conference, 2016
Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text.
Proceedings of the First Workshop on NLP and Computational Social Science, 2016
Data-driven dynamic decision models.
Proceedings of the 2015 Winter Simulation Conference, 2015
Participatory simulations of urban flooding for learning and decision support.
Proceedings of the 2015 Winter Simulation Conference, 2015