Sarah H. Cen

16 papers A* 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Do LLMs Track Public Opinion? A Multi-Model Study of Favorability Predictions in the 2024 U.S. Presidential Election.
CoRR
Riya Parikh, Sarah H. Cen, Chara Podimata
2026 J jnl
The Limits of AI Data Transparency Policy: Three Disclosure Fallacies.
CoRR
Judy Hanwen Shen, Ken Liu, Angelina Wang, Sarah H. Cen, Andy K. Zhang, Caroline Meinhardt, Daniel Zhang, Kevin Klyman, Rishi Bommasani, Daniel E. Ho
2025 J jnl
AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services.
CoRR
Aspen K. Hopkins, Sarah H. Cen, Andrew Ilyas, Isabella Struckman, Luis Videgaray, Aleksander Madry
2025 J jnl
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives.
CoRR
Sarah H. Cen, Salil Goyal, Zaynah Javed, Ananya Karthik, Percy Liang, Daniel E. Ho
2025 J jnl
Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season.
CoRR
Sarah H. Cen, Andrew Ilyas, Hedi Driss, Charlotte Park, Aspen K. Hopkins, Chara Podimata, Aleksander Madry
2025 J jnl
The California Report on Frontier AI Policy.
CoRR
Rishi Bommasani, Scott R. Singer, Ruth E. Appel, Sarah H. Cen, A. Feder Cooper, Elena Cryst, Lindsey A. Gailmard, Ian Klaus, Meredith M. Lee, Inioluwa Deborah Raji, Anka Reuel, Drew Spence, Alexander Wan, Angelina Wang, Daniel Zhang, Daniel E. Ho, Percy Liang, Dawn Song, Joseph E. Gonzalez, Jonathan Zittrain, Jennifer Tour Chayes, Mariano-Florentino Cuellar, Li Fei-Fei
2024 — conf
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing.
EAAMO
Sarah H. Cen, Rohan Alur
2024 J jnl
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing.
CoRR
Sarah H. Cen, Rohan Alur
2024 A* conf
Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content.
EC
Sarah H. Cen, Andrew Ilyas, Jennifer Allen, Hannah Li, Aleksander Madry
2024 J jnl
Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content.
CoRR
Sarah H. Cen, Andrew Ilyas, Jennifer Allen, Hannah Li, Aleksander Madry
2024 A* conf
User Strategization and Trustworthy Algorithms.
EC
Sarah H. Cen, Andrew Ilyas, Aleksander Madry
2023 J jnl
A User-Driven Framework for Regulating and Auditing Social Media.
CoRR
Sarah H. Cen, Aleksander Madry, Devavrat Shah
2023 J jnl
User Strategization and Trustworthy Algorithms.
CoRR
Sarah H. Cen, Andrew Ilyas, Aleksander Madry
2022 J jnl
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.
CoRR
Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
2022 J jnl
Network Synthetic Interventions: A Framework for Panel Data with Network Interference.
CoRR
Anish Agarwal, Sarah H. Cen, Devavrat Shah, Christina Lee Yu
2022 J jnl
The Right to be an Exception to a Data-Driven Rule.
CoRR
Sarah H. Cen, Manish Raghavan