Hi! I am a fifth-year PhD candidate in Computer Science at Columbia University, advised by David Blei. My current research interests are in NLP and probabilistic machine learning, with a focus on controllable and interpretable text generation.

Previously, I did an undergrad/master’s concurrently at Penn and worked in Chris Callison-Burch’s lab. I also spent a summer at Columbia Business School working with Andrey Simonov.

You can contact me at carozheng [at] cs.columbia.edu or find my CV here.

Publications

Revisiting Topic-Guided Language Models
Carolina Zheng, Keyon Vafa, David Blei
Transactions on Machine Learning Research, 2023
[paper] [code]

An Invariant Learning Characterization of Controlled Text Generation
Carolina Zheng*, Claudia Shi*, Keyon Vafa, Amir Feder, David Blei
(*equal contribution)
Proceedings of ACL, 2023
[paper] [code]

Do Suspense and Surprise Drive Entertainment Demand? Evidence from Twitch.tv
Andrey Simonov, Raluca Ursu, Carolina Zheng
Journal of Marketing Research, 2022
[paper]

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification
Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch
Proceedings of NAACL, 2019
[paper]