Hello! I am a fourth-year PhD student in computer science at the University of Washington, advised by Yejin Choi and Noah Smith. My research interests include decoding-time algorithms for text generation, dataset creation, and ambiguity in language. I am supported by the NSF Graduate Research Fellowship.
Previously I was an undergraduate at Northwestern University where I majored 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
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PhD student, 2020 - present
University of Washington
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BA in Computer Science, Mathematics, 2020
Northwestern University
Publications
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?.
EMNLP Findings 2023.
EMNLP Findings 2023.
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation.
EMNLP Findings 2022.
EMNLP Findings 2022.
Model Selection for Deep Audio Source Separation via Clustering Analysis.
DCASE 2020 (Best Student Paper Award).
DCASE 2020 (Best Student Paper Award).
Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach.
ML4MD Workshop at ICML 2020.
ML4MD Workshop at ICML 2020.
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation.
ML4MD Workshop at ICML 2020.
ML4MD Workshop at ICML 2020.
CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense.
RepEval Workshop at NAACL 2019.
RepEval Workshop at NAACL 2019.