Hwijeen Ahn

Master's student, Carnegie Mellon University

hahn2 [AT] cs.cmu.edu

Bio

I am a Master's student (MLT) at Language Technologies Institute at School of Computer Science, Carnegie Mellon University, advised by Eduard Hovy. My research interests lie in natural language processing and machine learning, with a focus on efficiency.

Previously, I was a research engineer at NAVER CLOVA working with pretraining and parameter-efficient finetuning of Korean GPT-3. I received a Master's degree in Computer Science and Engineering from Sogang University, advised by Jungyun Seo from Natural Language Processing Lab.

Before working on the quantitative side of language, I explored various aspects of language in Humanities (Bachelor's degree in American Culture) and Social Science (Bachelor's degree in Psychology) Department at Sogang University.

Publications

Most recent publications on Google Scholar.
‡ indicates equal contribution.

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model

Seongjin Shin‡, Sang-Woo Lee‡, Hwijeen Ahn, Sungdong Kim, HyoungSeok Kim, Boseop Kim, Kyunghyun Cho, Gichang Lee, Woomyoung Park, Jung-Woo Ha, Nako Sung

NAACL'22: Conference of the North American Chapter of the Association for Computational Linguistics. 2022.

Paper

Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks

Hwijeen Ahn‡, Jimin Sun‡, Chan Young Park‡, Yulia Tsvetkov, David R Mortensen

EACL'21: Conference of the European Chapter of the Association for Computational Linguistics. 2022.

Paper Code

NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer

Hwijeen Ahn‡, Jimin Sun‡, Chan Young Park‡, Jungyun Seo

SemEval'20: International Workshop on Semantic Evaluation. 2020.

Paper Code

Extensive Use of Morpheme Features in Korean Dependency Parsing

Hwijeen Ahn, Minyoung Seo, Chanmin Park, Juae Kim, Jungyun Seo

IEEE BigComp'19: IEEE International Conference on Big Data and Smart Computing

Paper

Resume

Download full resume in PDF.

  • Carnegie Mellon University Aug 2024 (expected)
    Master of Language Technologies
    Language Technologies Institute
    Advised by Eduard Hovy

  • Apple May 2023 - Aug 2023
    Machine Learning Engineer Intern
    ADPT Team, AIML
    Applied Research with Large Language Models

  • NAVER Jan 2021 - May 2022
    Machine Learning Research Engineer
    Language Representation Team, CLOVA
    Pretraining Large Scale Language Models

  • Sogang University Feb 2021
    Feb 2018
    M.S
    Computer Science and Engineering
    Advised by Jungyun Seo
    B.A
    Psychology and American Culture
    Summa Cum Laude

Acknowledgement

The template for this website is borrowed from Martin Savesk
Hwijeen Ahn
hahn2 [AT] cs.cmu.edu