Julian Nyarko

According to our database, Julian Nyarko authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The Material Contracts Corpus.

Peter Adelson, Julian Nyarko

CoRR, April, 2025

Identifying Emerging Concepts in Large Corpora.

Sibo Ma, Julian Nyarko

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Breaking Down Bias: On The Limits of Generalizable Pruning Strategies.

Sibo Ma, Alejandro Salinas, Julian Nyarko, Peter Henderson

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

What's in a Name? Auditing Large Language Models for Race and Gender Bias.

Amit Haim, Alejandro Salinas, Julian Nyarko

CoRR, 2024

Forecasting Algorithms for Causal Inference with Panel Data.

Jacob Goldin, Julian Nyarko, Justin Young

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

2023

Designing equitable algorithms.

Alex Chohlas-Wood, Madison Coots, Sharad Goel, Julian Nyarko

Nat. Comput. Sci., 2023

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

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

CoRR, 2023

Risk Scores, Label Bias, and Everything but the Kitchen Sink.

Michael Zanger-Tishler, Julian Nyarko, Sharad Goel

CoRR, 2023

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conceptual Questions in Developing Expert-Annotated Data.

Megan Ma, Brandon Waldon, Julian Nyarko

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

Don't Use a Cannon to Kill a Fly: An Efficient Cascading Pipeline for Long Documents.

Zehua Li, Neel Guha, Julian Nyarko

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

2022

LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning.

Neel Guha, Daniel E. Ho, Julian Nyarko, Christopher Ré

CoRR, 2022

2021

Breaking Taboos in Fair Machine Learning: An Experimental Study.

Julian Nyarko, Sharad Goel, Roseanna Sommers

Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

Blind Justice: Algorithmically Masking Race in Charging Decisions.

Alex Chohlas-Wood, Joe Nudell, Keniel Yao, Zhiyuan (Jerry) Lin, Julian Nyarko, Sharad Goel

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021