Zhang, Lily H

8 publications

ICML 2025 Learning from Others’ Mistakes: Finetuning Machine Translation Models with Span-Level Error Annotations Lily H Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag

ICML 2025 Preference Learning Made Easy: Everything Should Be Understood Through Win Rate Lily H Zhang, Rajesh Ranganath

NeurIPS 2024 Preference Learning Algorithms Do Not Learn Preference Rankings Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho

ICMLW 2024 Preference Learning Algorithms Do Not Learn Preference Rankings Angelica Chen, Sadhika Malladi, Lily H Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho

ICMLW 2024 Preference Learning Algorithms Do Not Learn Preference Rankings Angelica Chen, Sadhika Malladi, Lily H Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho

TMLR 2024 Towards Minimal Targeted Updates of Language Models with Targeted Negative Training Lily H Zhang, Rajesh Ranganath, Arya Tafvizi

AAAI 2023 Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection Lily H. Zhang, Rajesh Ranganath

ICLR 2022 Out-of-Distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations Aahlad Manas Puli, Lily H Zhang, Eric Karl Oermann, Rajesh Ranganath