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.

  • PhD student, 2020 - present

    University of Washington

  • BA in Computer Science, Mathematics, 2020

    Northwestern University


Tuning Language Models by Proxy.
Preprint 2024.

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We're Afraid Language Models Aren't Modeling Ambiguity.
EMNLP 2023.

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That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?.
EMNLP Findings 2023.

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Inverse Scaling: When Bigger Isn't Better.
TMLR 2023.

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Self-Instruct: Aligning Language Models with Self-Generated Instructions.
ACL 2023.

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Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts.
ACL 2023.

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Generated Knowledge Prompting for Commonsense Reasoning.
ACL 2022.

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DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts.
ACL 2021.

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Model Selection for Deep Audio Source Separation via Clustering Analysis.
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.
ML4MD Workshop at ICML 2020.

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Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation.
ML4MD Workshop at ICML 2020.

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CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense.
RepEval Workshop at NAACL 2019.

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