Jinhyuk Lee

Research Scientist at Google DeepMind


I am a research scientist at Google DeepMind. I was a visiting postdoc at Princeton University advised by Prof. Danqi Chen and also a research professor at Korea University. My research area is based on natural language processing and deep learning. Specifically, I'm interested in modeling efficient and generalizable retrieval for NLP. I received my PhD at Korea University advised by Prof. Jaewoo Kang.

Selected Publications

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Y. Zhao

Learning Dense Representations of Phrases at Scale
Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen
ACL 2021 (Long)
[Paper] [Code] [Demo]

Simple Entity-Centric Questions Challenge Dense Retrievers
Christopher Sciavolino*, Zexuan Zhong*, Jinhyuk Lee, Danqi Chen
EMNLP 2021 (short)
[Paper] [Code]

Real-Time Open-Domain Question Answering on Wikipedia with Dense-Sparse Phrase Index
Minjoon Seo*, Jinhyuk Lee*, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi, Hannaneh Hajishirzi
ACL 2019 (Long)
[Paper] [Code] [Demo]

BioBERT: a Pre-trained Biomedical Language Representation Model for Biomedical Text Mining
Jinhyuk Lee*, Wonjin Yoon*, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang
Bioinformatics (2019)
Applied to BERN (BioNER + Normalization), BioASQ models, etc
[Paper] [Code]