Liu, Alisa

7 publications

NeurIPS 2025 Broken Tokens? Your Language Model Can Secretly Handle Non-Canonical Tokenizations Brian Siyuan Zheng, Alisa Liu, Orevaoghene Ahia, Jonathan Hayase, Yejin Choi, Noah A. Smith

NeurIPS 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith

ICMLW 2024 Data Mixture Inference: What Do BPE Tokenizers Reveal About Their Training Data? Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith

NeurIPS 2024 Decoding-Time Language Model Alignment with Multiple Objectives Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon S. Du

ICMLW 2024 Decoding-Time Language Model Alignment with Multiple Objectives Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon Shaolei Du

ICML 2024 How Language Model Hallucinations Can Snowball Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith

TMLR 2023 Inverse Scaling: When Bigger Isn't Better Ian R. McKenzie, Alexander Lyzhov, Michael Martin Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Xudong Shen, Joe Cavanagh, Andrew George Gritsevskiy, Derik Kauffman, Aaron T. Kirtland, Zhengping Zhou, Yuhui Zhang, Sicong Huang, Daniel Wurgaft, Max Weiss, Alexis Ross, Gabriel Recchia, Alisa Liu, Jiacheng Liu, Tom Tseng, Tomasz Korbak, Najoung Kim, Samuel R. Bowman, Ethan Perez