Xuechunzi Bai

According to our database, Xuechunzi Bai authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis.

Alexander Ku, Declan Campbell, Xuechunzi Bai, Jiayi Geng, Ryan Liu, Raja Marjieh, R. Thomas McCoy, Andrew Nam, Ilia Sucholutsky, Veniamin Veselovsky, Liyi Zhang, Jian-Qiao Zhu, Thomas L. Griffiths

CoRR, March, 2025

Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways.

Angelina Wang, Xuechunzi Bai, Solon Barocas, Su Lin Blodgett

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race.

Lihao Sun, Chengzhi Mao, Valentin Hofmann, Xuechunzi Bai

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Correction: Warmth and competence in human-agent cooperation.

Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske

Auton. Agents Multi Agent Syst., June, 2024

Warmth and competence in human-agent cooperation.

Kevin R. McKee, Xuechunzi Bai, Susan T. Fiske

Auton. Agents Multi Agent Syst., June, 2024

Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways.

Angelina Wang, Xuechunzi Bai, Solon Barocas, Su Lin Blodgett

CoRR, 2024

Measuring Implicit Bias in Explicitly Unbiased Large Language Models.

Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, Thomas L. Griffiths

CoRR, 2024