Political science:

1. State Media Control Influences Large Language Models, with Hannah Waight, Yin Yuan, Solomon Messing, Margaret E. Roberts, Brandon Stewart, Joshua Tucker.
Forthcoming, Nature. link

2. The Limits of AI for Authoritarian Control.
Forthcoming, American Journal of Political Science. pdf

3. The Impact of U.S.-China Tensions on U.S. Science, with Ruixue Jia, Margaret E. Roberts, Ye Wang.
2024, Proceedings of the National Academy of Sciences. pdf
- CSIS: How U.S.-China Tensions Have Hurt American Science

4. The Authoritarian Data Problem: How the Politics of Data Shapes AI, with Margaret E. Roberts.
2023, Journal of Democracy (Invited Contribution). pdf

5. Hierarchically Regularized Entropy Balancing, with Yiqing Xu.
2023, Political Analysis. pdf, software, replication

Interdisciplinary:

6. Sci2Pol: Evaluating and Fine-tuning LLMs on Scientific-to-Policy Brief Generation, with Weimin Wu, Alexander Furnas, Gefei Liu, Akhil Pandey Akella, Xuefeng Song, Dashun Wang, Han Liu.
2026, International Conference on Learning Representations (ICLR). pdf

7. Discovering Influential Text Using Convolutional Neural Networks, with Megan Ayers, Luke Sanford, Margaret E. Roberts.
2024, Findings of the Association for Computational Linguistics (ACL). pdf

8. Censorship of Online Encyclopedias: Implications for NLP Models, with Margaret E. Roberts.
2021, ACM Conference on Fairness, Accountability, and Transparency (FAccT). pdf, replication
- Best Student Paper Award; Wired: How Censorship Can Influence Artificial Intelligence

1. Data Annotation with Large Language Models: Lessons from a Large Empirical Evaluation, with Zoey Wang, Carl Zhou, Yaosheng Xu. pdf, software

2. Motivated Updating: Power, Race, and the Limits of Intergroup Contact in the U.S. Military, with Salma Mousa

If you are using AI, Markdown versions of my papers are available here.