Yada Pruksachatkun

Researcher, SalesForce.com

Joined

August 2018

Names

Yada Pruksachatkun (Preferred)

Emails

****@nyu.edu (Confirmed)

****@gmail.com (Confirmed)

****@salesforce.com (Confirmed)

Personal Links

Homepage

DBLP

Semantic Scholar

Career & Education History

Researcher

SalesForce.com (salesforce.com)

2025 – 2026

MS student

New York University Center for Data Science (nyu.edu)

2018 – 2020

Undergrad student

Wellesley College (wellesley.edu)

2014 – 2018

Advisors, Relations & Conflicts

Research Intern Advisor, Co-author

Amit Sharma

2018 – 2018

Undergraduate Research Advisor

Panagiotis Takis Metaxas

2016 – 2017

Expertise

Computational mental healthcare

2017 – 2018

Natural language processing

2017 – 2018

Social network analysis

2015 – 2018

Publications

Establishing Best Practices for Building Rigorous Agentic Benchmarks
Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Jasjeet S. Sekhon, Jacob Steinhardt, Antony Kellerman et al. (5 additional authors not shown)
- CoRR 2025
- Readers: Everyone
Establishing Best Practices in Building Rigorous Agentic Benchmarks
Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy K Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Antony Kellermann, Jasjeet S Sekhon, Jacob Steinhardt et al. (6 additional authors not shown)
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction
Julia White, Arushi Raghuvanshi, Yada Pruksachatkun
- ACL (Findings) 2023
- Readers: Everyone
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
- 2022 (modified: 03 Jun 2022)
- CoRR 2022
- Readers: Everyone
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
- 2022 (modified: 03 Jun 2022)
- CoRR 2022
- Readers: Everyone
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
- 2022 (modified: 03 Jun 2022)
- ACL (Findings) 2022
- Readers: Everyone
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
- 2022 (modified: 03 Jun 2022)
- ACL (2) 2022
- Readers: Everyone
Measuring Fairness of Text Classifiers via Prediction Sensitivity
Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
- Published: 01 Jan 2022, Last Modified: 31 Jan 2024
- CoRR 2022
- Readers: Everyone
Measuring Fairness of Text Classifiers via Prediction Sensitivity
Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
- Published: 01 Jan 2022, Last Modified: 31 Jan 2024
- ACL (1) 2022
- Readers: Everyone

View all 26 publications

Co-Authors

View all 67 co-authors