13 citations · 23 across the 5 of their papers we have counts for
5 papers
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
John J. Nay, David Karamardian, Sarah B. Lawsky +6
Better understanding of Large Language Models' (LLMs) legal analysis abilities can contribute to improving the efficiency of legal services, governing artificial intelligence, and…
Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards
John J. Nay
Artificial Intelligence (AI) is taking on increasingly autonomous roles, e.g., browsing the web as a research assistant and managing money. But specifying goals and restrictions fo…
Large Language Models as Corporate Lobbyists
John J. Nay
We demonstrate a proof-of-concept of a large language model conducting corporate lobbying related activities. An autoregressive large language model (OpenAI's text-davinci-003) det…
Climate-Contingent Finance
John Nay
Climate adaptation could yield significant benefits. However, the uncertainty of which future climate scenarios will occur decreases the feasibility of proactively adapting. Climat…
Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text
John J. Nay
We compare policy differences across institutions by embedding representations of the entire legal corpus of each institution and the vocabulary shared across all corpora into a co…