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

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

PDF Cite Code Dataset Website

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.

PDF Cite Code Poster

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.

PDF Cite Code Slides Media

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

PDF Cite Slides Talk

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.

PDF Cite Code Poster

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

PDF Cite Code Poster

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.

PDF Cite Dataset Poster

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