🤓 About

I am a Ph.D. candidate in Computer Science at University of Maryland working with Prof. Hal Daumé III. I am a member of the CLIP Lab.

My research interests involve moving towards trustworthy and fair natural language processing systems. Currently, I am working on analyzing how stereotypes manifest in large pretrained language models. I am also working on explainable AI and human-machine interactions.

Previously, I obtained my Bachelors degree in Computer Science from Bryn Mawr College and Mathematics from Haverford College.

📰 Recent News

July 2022 Co-organized the 2nd TrustNLP Workshop at ACL 2022.
November 2021 Co-mentored students in Tech + Research 2021: Welcoming Women to Computing Research.
May - August 2021 Interned at Amazon Alexa Research, working with Rahul Gupta and Kai-Wei Chang.

📜 Publications

What's Different between Visual Question Answering for Machine "Understanding” Versus for Accessibility?
Yang Trista Cao*, Kyle Seelman*, Kyungjun Lee*, Hal Daumé III
Best Theme Paper Award

On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations
Yang Trista Cao*, Yada Pruksachatkun*, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
ACL 2022 (Short Paper)

Theory-Grounded Measurement of US Social Stereotypes in English Language Models
Yang Trista Cao*, Anna Sotnikova*, Hal Daumé III, Rachel Rudinger, Linda Zou
NAACL 2022 (Oral)

Analyzing Stereotypes in Generative Text Inference Tasks
Anna Sotnikova*, Yang Trista Cao*, Hal Daumé III, Rachel Rudinger
ACL-IJCNLP 2021 (Findings)

Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias throughout the Machine Learning Lifecyle
Yang Trista Cao, Hal Daumé III
Computational Linguistics. 47 (3)

Toward Gender-Inclusive Coreference Resolution
Yang Trista Cao, Hal Daumé III
ACL 2019

Controlling the Specificity of Clarification Question Generation
Yang Trista Cao, Sudha Rao, Hal Daumé III
Widening NLP 2019