Hi there 👋! I’m a fourth-year PhD student in the Department of Computer Science at the University of Maryland, College Park where I work with Profs. Rachel Rudinger and Jordan Boyd-Graber.

I’m a member of the Computational Linguistics and Information Processing (CLIP) Lab in UMIACS.

Before coming to Maryland, I worked as a Machine Learning Engineer at Lyft on the Applied Machine Learning team, and before that, I received my Bachelor’s and Master’s degrees in Computer Science from the University of Texas at Austin, where I was working with Jessy Li on elaboration during text simplification.

My research interests lie in natural language processing, particularly in natural language understanding, including problems such as commonsense reasoning, textual inference, and pragmatics.

Education
  • PhD in Computer Science, 2021 -

    University of Maryland, College Park

  • MS in Computer Science, 2020

    University of Texas at Austin

  • BS in Computer Science, 2019

    University of Texas at Austin

Recent Publications

(2024). Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering. In Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2024.

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(2024). How often are errors in natural language reasoning due to paraphrastic variability? In Transactions of the Association for Computational Linguistics (TACL) 2024.

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(2022). Partial-input baselines show that NLI models can ignore context, but they don't.. In Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2022.

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(2021). Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification. In Findings of the Association for Computational Linguistics (Findings of ACL) 2021.

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