I am a PhD student at New York University studying computer science, focusing on machine learning for natural language. I am jointly advised by Professors Sam Bowman and Kyunghyun Cho, and am part of the Machine Learning for Language group at NYU. I graduated from Harvard University with a bachelor’s in applied mathematics and a master’s in computer science, where I was advised by Alexander Rush and spent time with the Harvard Natural Language Processing group. See my CV, Google Scholar, GitHub for more details. If you need to contact me, email me at wangalexc at gmail or message me on Twitter.


We are currently soliciting feedback (especially proposals of tasks to include, but also comments and concerns) for the next version of GLUE. More details here. Please don’t hesitate to reach out!


Bert has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
Alex Wang, Kyunghyun Cho
NeuralGen 2019.
[paper] [demo]

On Measuring Social Biases in Sentence Encoders
Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, Rachel Rudinger
NAACL 2019.
[paper] [code]

Looking for ELMO’s Friends: Sentence-Level Pretraining Beyond Language Modeling
Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen
arXiv preprint.

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman.
ICLR 2019.
[paper] [site]

What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, Benjamin Van Durme, Sam Bowman, Dipanjan Das, Ellie Pavlick.
ICLR 2019.

Learning Linguistic Descriptors of User Roles in Online Communities
Alex Wang, William L. Hamilton, Jure Leskovec.
NLP+CSS Workshop @ EMNLP 2016.

Other Projects