About Me
I am currently a PhD Computer Science student at the
University of Cambridge
focusing on Natural Language Processing (NLP). I am interested
in understanding the inductive biases of architectures used in
NLP and how we might use inductive biases as a tool to improve
data-efficiency and generalisation performance. I also enjoy
work that focuses on modelling aspects of language that are
difficult to acquire through current standard training methods,
such as the pragmatics of communication, the manipulation of
semantics, and the incorporation of multi-modal data.
I am co-supervised by
Simone Teufel
(University of Cambridge) and
Ryan Cotterell
(ETH Zurich). I previously completed an MPhil in Advanced
Computer Science at Cambridge, achieving a Distinction. During
this time I was funded by a 2019/2020
DeepMind Scholarship
.
Previously, I graduated with an Integrated Master’s Degree in
Mathematics and Physics from the University of Warwick in 2016.
My focus was on Algebraic Geometry. Following this, I worked as
a Software Engineer for 3 years.
You can read my CV
here
.
Publications
Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell. 2024.
A Transformer with Stack Attention. In Findings of the Association for Computational Linguistics: NAACL 2024.
[arXiv]
[code]
Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell. 2024.
Context versus Prior Knowledge in Language Models. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics.
[arXiv]
[code]
Jennifer C. White and Ryan Cotterell. 2022.
Schrödinger's Bat:
Diffusion Models Sometimes Generate Polysemous Words in
Superposition. Pre-print.
[arXiv]
[code]
Jennifer C. White and Ryan Cotterell. 2022.
Equivariant
Transduction Through Invariant Alignment. In Proceedings of the
29th International Conference on Computational Linguistics.
(Awarded Outstanding Paper)
[arXiv]
[ACL Anthology]
[code]
Jennifer C. White and Ryan Cotterell. 2021.
Examining the
Inductive Bias of Neural Language Models with Artificial
Languages. In Proceedings of the 59th Annual Meeting of the
Association for Computational Linguistics.
[arXiv]
[ACL Anthology]
[code]
Jennifer C. White, Tiago Pimentel, Naomi Saphra, and Ryan
Cotterell. 2021.
A Non-Linear Structural Probe. In Proceedings
of the 2021 Conference of the North American Chapter of the
Association for Computational Linguistics: Human Language
Technologies.
[arXiv]
[ACL Anthology]
Tian Xu, Jennifer C. White, Sinan Kalkan, and Hatice Gunes.
2020.
Investigating Bias and Fairness in Facial Expression
Recognition. In Proceedings of the 16th European Conference on
Computer Vision Workshops.
[arXiv]
Ekaterina Vylomova, Jennifer C. White, Elizabeth Salesky,
Sabrina J Mielke, Shijie Wu, Edoardo Ponti, Rowan Hall Maudslay,
Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis Tyers,
Elena Klyachko, Ilya Yegorov, Natalia Krizhanovsky, Paula
Czarnowska, Irene Nikkarinen, Andrew Krizhanovsky, Tiago
Pimentel, Lucas Torroba Hennigen, Christo Kirov, Garrett
Nicolai, Adina Williams, Antonios Anastasopoulos, Hilaria Cruz,
Eleanor Chodroff, Ryan Cotterell, Miikka Silfverberg, Mans
Hulden. 2020.
SIGMORPHON 2020 Shared Task 0: Typologically
Diverse Morphological Inflection. In Proceedings of the 17th
SIGMORPHON Workshop on Computational Research in Phonetics,
Phonology, and Morphology.
[arXiv]
[ACL Anthology]