Hello! I am a fifth-year PhD student in computer science at the University of Washington, advised by Yejin Choi and Noah Smith. My research area is natural language processing, with interests particularly in decoding-time algorithms and data creation. I am grateful to be supported by the NSF Graduate Research Fellowship and OpenAI SuperAlignment Fellowship.

Previously I was an undergraduate at Northwestern University where I majored in computer science and math. There, I was very fortunate to learn about research from Professor Doug Downey, Professor Bryan Pardo, and Dr. Prem Seetharaman.

Education

  • PhD student, 2020 - present

    University of Washington

  • BA in Computer Science, Mathematics, 2020

    Northwestern University

Publications

Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?.
Jonathan Hayase*, Alisa Liu*, Yejin Choi, Sewoong Oh, Noah A. Smith. Preprint.

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Tuning Language Models by Proxy.
Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith. COLM 2024 (Spotlight 🌟, top 7%).

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We're Afraid Language Models Aren't Modeling Ambiguity.
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi. EMNLP 2023.

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That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?.
Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith. EMNLP Findings 2023.

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Inverse Scaling: When Bigger Isn't Better.
Ian R. McKenzie, 18 others, Alisa Liu, Jiacheng Liu, Tom Tseng, Tomasz Korbak, Najoung Kim, Samuel R. Bowman, Ethan Perez. TMLR 2023 (Featured 🌟).

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

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Self-Instruct: Aligning Language Models with Self-Generated Instructions.
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi. ACL 2023.

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Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts.
Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap. ACL 2023.

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WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation.
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi. EMNLP Findings 2022.

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Generated Knowledge Prompting for Commonsense Reasoning.
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi. ACL 2022.

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DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts.
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi. ACL 2021.

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