28 citations · 30 across the 3 of their papers we have counts for
3 papers
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Neel Guha, Julian Nyarko, Daniel E. Ho +37
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform? To enable great…
Risk Scores, Label Bias, and Everything but the Kitchen Sink
Michael Zanger-Tishler, Julian Nyarko, Sharad Goel
In designing risk assessment algorithms, many scholars promote a "kitchen sink" approach, reasoning that more information yields more accurate predictions. We show, however, that t…
Designing Equitable Algorithms
Alex Chohlas-Wood, Madison Coots, Sharad Goel +1
Predictive algorithms are now used to help distribute a large share of our society's resources and sanctions, such as healthcare, loans, criminal detentions, and tax audits. Under…