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!
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.