Peter West

he/him | github | LinkedIn | Google Scholar | pawest at cs dot washington dot edu

I'm a graduate student at the Paul G. Allen School for Computer Science and Engineering at the University of Washington. I work with Yejin Choi on natural language processing.

My current research is focussed on unsupervised modelling and learning. Broadly, I would like to find elegant and principled paths to understanding language.

Previously, I recieved my B.Sc. in Honors Computer Science from the University of British Columbia. I have had the unique opportunity to do research in a wide range of fields, including: microbiology with Mike Ellison, microfluidic sensing with Al Meldrum and computational biology with Sara Mostafavi.


NLP Papers

Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right EMNLP 2021
Ari Holtzman=, Peter West=, Vered Shwartz, Yejin Choi, and Luke Zettlemoyer.
= equal contribution
[paper] [project page] [code]

Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning ACL 2021
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena Hwang, and Yejin Choi.
[paper] [talk] [project page] [code] [models]

NEUROLOGIC DECODING: (Un)supervised Neural Text Generation with Predicate Logic Constraints NAACL 2021
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi.
[paper] [talk]

Unsupervised Commonsense Question Answering with Self-Talk EMNLP 2020
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning EMNLP 2020
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi

BottleSum: Self-Supervised and Unsupervised Sentence Summarization using the Information Bottleneck Principle EMNLP 2019
Peter West, Ari Holtzman, Jan Buys, Yejin Choi.
[paper] [project page] [talk] [code]

Other Work

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference 2020
Galen Weld=, Peter West=, Maria Glenski, David Arbour, Ryan Rossi, Tim Althoff
= equal contribution

PLink: Discovering and Exploiting Datacenter Network Locality for Efficient Cloud-based Distributed Training MLSYS 2020
Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze, Jacob Nelson

Refractometric micro-sensor using a mirrored capillary resonator Optics Express 2016
William Morrish, Peter West, Nathan Orlando, Elizaveta Klantsataya, Kirsty Gardner, Stephen Lane, Raymond Decorby, Alexandre François, Alkiviathes Meldrum

Protein biosensing with fluorescent microcapillaries Optics Express 2015
Stephen Lane, Peter West, Alexandre François, Alkiviathes Meldrum