My current research interests are as difficult to pin down as my music taste.
I am generally motivated by ideas that
- improve our understanding of how things work (e.g. black box models, natural languages,
artificial/human intelligence, the universe...),
- promote safety, inclusivity, and fairness,
- become elegant solutions for really hard problems that will work well in the long run.
Here are some topics that I have worked on:
Model Interpretability: I am interested in explaining how large language models make
decisions (EMNLP'22) and understanding their
capabilities and limitations.
I am also interested in how neural networks process language on a fundamental level and how
machine intelligence compares with human cognition.
Sign Language Processing: I am interested in modeling signed languages from a
linguistic perspective and extending existing language technologies to signed languages (ACL'21, ECCV'20,
MTSummit21, EMNLP'21). I am also
interested in using computational models to help us better understand how signed languages
Context-aware Machine Translation: I am interested in when context, either on an
intra-sentential (within the current sentence), inter-sentential (across multiple
sentences), or extra-linguistic (e.g. social, temporal, cultural) level, is required during
translation, and how to model these features in machine translation
(ACL'21, ACL'21, ACL'23).
Please reach out if you'd like to chat or collaborate! I am generally responsive to emails and
Twitter messages, I do not check LinkedIn very often, and I prefer that people do not contact me
on social media that I have not listed on this website.