Search Results for author: Simas Sakenis

Found 2 papers, 1 papers with code

Guiding Transformers to Process in Steps

no code implementations29 Sep 2021 Simas Sakenis, Stuart Shieber

Specifically, while learning a direct mapping from inputs to outputs is feasible for System 1 tasks, we argue that algorithmic System 2 tasks can only be solved by learning a mapping from inputs to outputs through a series of intermediate steps.

Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias

1 code implementation26 Apr 2020 Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Simas Sakenis, Jason Huang, Yaron Singer, Stuart Shieber

Common methods for interpreting neural models in natural language processing typically examine either their structure or their behavior, but not both.

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