Measuring Implicit Bias in Explicitly Unbiased Large Language Models. - Xuechunzi Bai; Angelina Wang; Ilia Sucholutsky; Thomas L. Griffiths 001 (CoRR, 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)

Warmth and competence in human-agent cooperation. - Kevin R. McKee; Xuechunzi Bai; Susan T. Fiske (Auton. Agents Multi Agent Syst., 2024)

Correction: Warmth and competence in human-agent cooperation. - Kevin R. McKee; Xuechunzi Bai; Susan T. Fiske (Auton. Agents Multi Agent Syst., 2024)

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race. - Lihao Sun; Chengzhi Mao; Valentin Hofmann; Xuechunzi Bai (ACL (1), 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 (FAccT, 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 001; Raja Marjieh; R. Thomas McCoy; Andrew Nam; Ilia Sucholutsky; Veniamin Veselovsky; Liyi Zhang; Jian-Qiao Zhu; et al. (CoRR, 2025)