Eric Wallace // Scholar // GitHub // Twitter

I am currently at AI2 working with Matt Gardner and Sameer Singh (UC Irvine). In Fall 2019, I will begin a Ph.D. at UC Berkeley with Dan Klein and Dawn Song.

My current research focuses on interpreting, attacking, and understanding machine learning models, especially for NLP. For example, understanding when and why neural models fail [1], designing new interpretation methods [2,3], and crafting adversarial attacks for NLP systems [4].

I previously attended the University of Maryland, where I worked with Jordan Boyd-Graber. I interned at AI2 in 2019 and Lyft Self Driving in 2018.

  • May 2019: Two papers accepted to ACL.
  • April 2019: Our paper Trick Me If You Can was accepted to TACL 2019.
  • April 2019: Our paper on a second-order interpretation method was accepted to ICML 2019.
  • Jan. 2019: Graduated from UMD and moved to the Allen Institute for AI (AI2).
  • Nov. 2018: Presented two works at EMNLP 2018 in Brussels, Belgium. Video here.
  • Sep. 2018: We're hosting a competition to develop Question Answering systems that can combat adversarial users
  • Aug. 2018: Paper on a new method to interpret neural NLP models accepted at EMNLP Interpretability Workshop
  • Aug. 2018: Paper on the difficulties of interpreting neural models accepted at EMNLP
  • May. 2018: Joining Lyft Self Driving as an intern this Summer in Palo Alto, CA

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Fantastic Collaborators: Shi Feng, Sewon Min, Yizhong Wang, Matt Gardner, Sameer Singh, Jordan Boyd-Graber, and many others

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