Chirag Nagpal

Researcher, Google

Joined

May 2020

Names

Chirag Nagpal (Preferred)

Emails

****@cs.cmu.edu (Confirmed)

****@alumni.cmu.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Google (google.com)

2024 – Present

PhD student

Carnegie Mellon University (cmu.edu)

2018 – 2021

Intern

Google (google.com)

2020 – 2020

Intern

J.P. Morgan Chase (jpmorgan.com)

2019 – 2019

Intern

International Business Machines (ibm.com)

2018 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Artur Dubrawski

2016 – 2022

Expertise

Large Language Models

2023 – Present

Survival analysis

2018 – 2024

Publications

Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
Stephen R Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Peter Okechukwu Ezeanochie, Heather Cole-Lewis, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour
- NeurIPS 2025 poster
- Readers: Everyone
InfAlign: Inference-aware language model alignment
Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami
- ICML 2025 poster
- Readers: Everyone
Theoretical guarantees on the best-of-n alignment policy
Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander Nicholas D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh
- ICML 2025 poster
- Readers: Everyone
Robust Preference Optimization through Reward Model Distillation
Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Peter Shaw, Jonathan Berant
- Accepted by TMLR
- Readers: Everyone
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar
- ICLR 2025 Spotlight
- Readers: Everyone
Robust Preference Optimization through Reward Model Distillation
Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Peter Shaw, Jonathan Berant
- Submitted to NeurIPS 2024
- Readers: Everyone
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking
Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alexander Nicholas D'Amour, Krishnamurthy Dj Dvijotham, Adam Fisch, Katherine A Heller, Stephen Robert Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant
- COLM
- Readers: Everyone
Transforming and Combining Rewards for Aligning Large Language Models
Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch
- ICML 2024 Poster
- Readers: Everyone
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa
Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
- EAAMO 2024
- Readers: Everyone
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield et al. (10 additional authors not shown)
- CoRR 2024
- Readers: Everyone

View all 44 publications

Co-Authors

View all 96 co-authors