📜 Research
* denotes equal contribution.
The Stanford AI Lab Blog, 2022
Faithful, interpretable model explanations via causal abstraction
Atticus Geiger, Zhengxuan Wu, Karel D'Oosterlinck, Elisa Kreiss, Noah D. Goodman, Thomas Icard, and Christopher Potts.
Preprint, 2022
Causal Proxy Models for Concept-Based Model Explanations
Zhengxuan Wu*, Karel D'Oosterlinck*, Atticus Geiger*, Amir Zur, Christopher Potts.
NeurIPS, 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
Eldar David Abraham*, Karel D'Oosterlinck*, Amir Feder*, Yair Ori Gat*, Atticus Geiger*, Christopher Potts*, Roi Reichart*, Zhengxuan Wu*.
1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL), 2021
Frozen Pretrained Transformers for Neural Sign Language Translation
Mathieu De Coster, Karel D'Oosterlinck, Marija Pizurica, Paloma Rabaey, Severine Verlinden, Mieke Van Herreweghe, Joni Dambre
MSc Thesis, 2021
Design and analysis of domain adaptation systems for joint multilingual coreference resolution
Awarded the 2021 TomTom Prize for Best Engineering Thesis
Karel D'Oosterlinck, Semere Kiros Bitew, Johannes Deleu, Thomas Demeester, Chris Develder