Taehee Jung

Applied Scientist @Amazon Alexa AI

jungtaeh at amazon.com | resume

I am an applied scientist at Amazon Alexa AI. Before that, I received a Ph.D in Statistics at Univeristy of Pittsburgh, a Master in Statistics at University of California Berkeley, and a Bachelor in Management Science at KAIST. Prior to the graduate study, I worked as a data scientist at Korea Credit Bureau (KCB) for 5+ years.
My main research interest is to quantify the uncertainty in context of Natural Language Processing (NLP). I am also broadly interested in ML/DL applications on NLP problems.

Publication

2025
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
Shirley Anugrah Hayati, Taehee Jung , Tristan Bodding-Long, Sudipta Kar, Abhinav Sethy, Joo-Kyung Kim, Dongyeop Kang
AAAI | Paper | Bibtex | Code
2023
Cluster-Guided Label Generation in Extreme Multi-Label Classification
Taehee Jung , Joo-Kyung Kim, Sungjin Lee, Dongyeop Kang
EACL | Paper | Bibtex | Code and Dataset
2022
Quantifying Uncertainty in context of Natural Language Processing
Taehee Jung
Committees: Lucas Mentch, Yu Cheng, Kehui Chen, Meredith Wallace
PhD Dissertation | Paper | Bibtex |
2020
Posterior Calibrated Training on Sentence Classification Tasks
Taehee Jung , Dongyeop Kang, Hua cheng, Lucas Mentch, Thomas Schaaf
ACL | Paper | Bibtex | Code
2019
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
Taehee Jung*, Dongyeop Kang*, Lucas Mentch, Eduard Hovy (*equal contribution)
EMNLP | Paper | Bibtex | Code
© Copyright 2017 Taehee Jung