Tianyu Gao 高天宇

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

Research

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.

Highlighted Publications

Please refer to publications for the full list.

Alexander Wettig*, Tianyu Gao*, Zexuan Zhong, Danqi Chen
Should You Mask 15% in Masked Language Modeling?
Preprint, 2022 [pdf] [code]

Huihan Li*, Tianyu Gao*, Manan Goenka, Danqi Chen
Ditch the Gold Standard: Re-evaluating Conversational Question Answering
Proceedings of ACL, 2022 (Outstanding Paper Award) [pdf] [code]

Tianyu Gao*, Xingcheng Yao*, Danqi Chen
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Proceedings of EMNLP, 2021 [pdf] [code]

Tianyu Gao*, Adam Fisch*, Danqi Chen
Making Pre-trained Language Models Better Few-shot Learners
Proceedings of ACL, 2021 [pdf] [code]

Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Proceedings of EMNLP (Short Paper), 2019 [pdf] [code]



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