I am a third-year PhD student at Princeton University, advised by Prof. Danqi Chen. I am also a proud member of the Princeton NLP group. Before Princeton, I received my bachelor's degree at Tsinghua University. During my time at Tsinghua, I was a member of THUNLP and was advised by Prof. Zhiyuan Liu.
Find me on Twitter, Google Scholar, and Github!
Email: [firstname]g@princeton.edu
My research interests lie within the intersection of natural language processing and machine learning. I am specifically interested in large language models, few-shot learning, and contrastive learning. I am also interested in NLP applications like question answering and information extraction.
Please refer to publications for the full list.
Should You Mask 15% in Masked Language Modeling?
Proceedings of EACL, 2023
[pdf]
[code]
Ditch the Gold Standard: Re-evaluating Conversational Question Answering
Proceedings of ACL, 2022
(Outstanding Paper Award)
[pdf]
[code]
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Proceedings of EMNLP, 2021
[pdf]
[code]
Making Pre-trained Language Models Better Few-shot Learners
Proceedings of ACL, 2021
[pdf]
[code]
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Proceedings of EMNLP (Short Paper), 2019
[pdf]
[code]
This website is adapted from Gregory Gunderson.