Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models. - Hannah Rose Kirk; Yennie Jun; Filippo Volpin; Haider Iqbal; Elias Benussi; Frédéric A. Dreyer; Aleksandar Shtedritski; Yuki M. Asano (NeurIPS, 2021)

How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases. - Hannah Kirk; Yennie Jun; Haider Iqbal; Elias Benussi; Filippo Volpin; Frédéric A. Dreyer; Aleksandar Shtedritski; Yuki Markus Asano (CoRR, 2021)

Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset. - Hannah Rose Kirk; Yennie Jun; Paulius Rauba; Gal Wachtel; Ruining Li; Xingjian Bai; Noah Broestl; Martin Doff-Sotta; Aleksandar Shtedritski; Yuki Markus Asano (CoRR, 2021)

Trusted Source Alignment in Large Language Models. - Vasilisa Bashlovkina; Zhaobin Kuang; Riley Matthews; Edward Clifford; Yennie Jun; William W. Cohen; Simon Baumgartner (CoRR, 2023)

Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. - Jiaming Shen; Ran Xu 002; Yennie Jun; Zhen Qin 001; Tianqi Liu 002; Carl Yang 001; Yi Liang; Simon Baumgartner; Michael Bendersky (CoRR, 2024)