Karolina Stańczak

University of Copenhagen

I am a second-year PhD student at the University of Copenhagen supervised by Professor Isabelle Augenstein. Before joining the CopeNLU group I’ve completed the MSc in Statistics at the Humboldt University of Berlin. Before that, I’ve obtained a Bachelor of Science in Economics also at the Humboldt University of Berlin. I’m a member of Rycolab at ETH Zürich co-supervised by Ryan Cotterell.

My PhD work focuses on gender bias detection in cross-lingual setups and interpretability. My primary research interests are bias and fairness in NLP, interpretability, and statistical methods.

Besides, prior to starting my PhD I have worked as a data science consultant for Deloitte Analytics Institute.

You can find me on: Twitter, GitHub, LinkedIn.

publications

  1. Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models
    Stańczak, Karolina, Ponti, E., Hennigen, Lucas Torroba, Cotterell, Ryan, and Augenstein, Isabelle
    ArXiv 2022
  2. A Latent-Variable Model for Intrinsic Probing
    Stańczak, Karolina, Hennigen, Lucas Torroba, Williams, Adina, Cotterell, Ryan, and Augenstein, Isabelle
    ArXiv 2022
  3. A Survey on Gender Bias in Natural Language Processing
    Stańczak, Karolina, and Augenstein, Isabelle
    ArXiv 2021
  4. Quantifying Gender Biases Towards Politicians on Reddit
    Marjanovic, Sara Vera, Stańczak, Karolina, and Augenstein, Isabelle
    ArXiv 2021
  5. Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models
    Stańczak, Karolina, Choudhury, Sagnik Ray, Pimentel, Tiago, Cotterell, Ryan, and Augenstein, Isabelle
    ArXiv 2021