Yennie Jun

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 5

Top Topics

Document Length

Translation Model

Top Venues

Publications

Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR (2024)
Vasilisa Bashlovkina, Zhaobin Kuang, Riley Matthews, Edward Clifford, Yennie Jun, William W. Cohen, Simon Baumgartner
Trusted Source Alignment in Large Language Models. CoRR (2023)
Hannah Rose Kirk, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki M. Asano
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models. NeurIPS (2021)
Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki Markus Asano
How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases. CoRR (2021)
Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki Markus Asano
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset. CoRR (2021)