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2020 – today
- 2024
[c6]Jacob Goldin, Julian Nyarko, Justin Young:
Forecasting Algorithms for Causal Inference with Panel Data. EC 2024: 1205- [i5]Amit Haim, Alejandro Salinas, Julian Nyarko:
What's in a Name? Auditing Large Language Models for Race and Gender Bias. CoRR abs/2402.14875 (2024) - 2023
- [j1]Alex Chohlas-Wood, Madison Coots, Sharad Goel
, Julian Nyarko:
Designing equitable algorithms. Nat. Comput. Sci. 3(7): 601-610 (2023) - [c5]Zehua Li, Neel Guha, Julian Nyarko:
Don't Use a Cannon to Kill a Fly: An Efficient Cascading Pipeline for Long Documents. ICAIL 2023: 141-147 - [c4]Megan Ma, Brandon Waldon, Julian Nyarko:
Conceptual Questions in Developing Expert-Annotated Data. ICAIL 2023: 427-431 - [c3]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:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 2023 - [i4]Alex Chohlas-Wood, Madison Coots, Sharad Goel, Julian Nyarko:
Designing Equitable Algorithms. CoRR abs/2302.09157 (2023) - [i3]Michael Zanger-Tishler, Julian Nyarko, Sharad Goel:
Risk Scores, Label Bias, and Everything but the Kitchen Sink. CoRR abs/2305.12638 (2023) - [i2]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:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR abs/2308.11462 (2023) - 2022
- [i1]Neel Guha, Daniel E. Ho, Julian Nyarko, Christopher Ré:
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning. CoRR abs/2209.06120 (2022) - 2021
- [c2]Alex Chohlas-Wood, Joe Nudell, Keniel Yao, Zhiyuan (Jerry) Lin, Julian Nyarko, Sharad Goel:
Blind Justice: Algorithmically Masking Race in Charging Decisions. AIES 2021: 35-45 - [c1]Julian Nyarko, Sharad Goel, Roseanna Sommers:
Breaking Taboos in Fair Machine Learning: An Experimental Study. EAAMO 2021: 14:1-14:11
Coauthor Index
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