Hello! I am a third-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, and I am particularly interested in developing algorithms for dataset creation that lead to more robust and reliable models. I am supported by the NSF Graduate Research Fellowship.

I received my Bachelor’s degree from Northwestern University, majoring in computer science and math. There, I was super fortunate to learn about the world of research through natural language processing and computer audition with 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

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. Preprint 2023.

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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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Model Selection for Deep Audio Source Separation via Clustering Analysis.
Alisa Liu, Prem Seetharaman, Bryan Pardo. DCASE 2020 (Best Student Paper Award).

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Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach.
Alex Fang, Alisa Liu, Prem Seetharaman, Bryan Pardo. ML4MD Workshop at ICML 2020.

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Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation.
Alisa Liu, Alex Fang, Gaëtan Hadjeres, Prem Seetharaman, Bryan Pardo. ML4MD Workshop at ICML 2020.

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CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense.
Michael Chen, Mike D’Arcy, Alisa Liu, Jared Fernandez, Doug Downey. RepEval Workshop at NAACL 2019.

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Posts

Study guides from undergrad
I really enjoy making study guides! Here are a couple I’m especially proud of, and I hope they are useful resources for other students. EECS 396: Statistical Machine Learning The professor shared the topic being tested by every problem on the final, so I organized course content around it.
Alisa Liu
Nov 9, 2019 1 min read