13 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.AI2023★ 3 cited
Can LLMs Follow Simple Rules?
Norman Mu, Sarah Chen, Zifan Wang +6
As Large Language Models (LLMs) are deployed with increasing real-world responsibilities, it is important to be able to specify and constrain the behavior of these systems in a rel…
cs.CL2023★ 13 cited
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…