AI Research Scientist

Dongyub (Jude) Lee

Zoom · Korea University

My research has spanned NLP, including dialogue systems, question answering, and LLM reliability, and has more recently expanded into multimodal AI. My current work and research interests focus on Healthcare AI and understanding how safety is represented in LLMs. I am particularly interested in research that advances our understanding of AI while also contributing to reliable, practical systems for real-world applications.

Since May 2024, I have been working as an AI Research Scientist at Zoom. Previously, I worked at Naver and Kakao, two of South Korea’s leading technology companies whose services are part of everyday life for nearly everyone in the country. These experiences have shaped my interest in both advancing AI research and building practical systems that can make a meaningful impact at scale.

Dongyub Jude Lee

Academic Activities

News

International Publications

2026

Skin-Deep: A Geometric Diagnostic for Alignment Fragility in Large Language Model Representations

Dongyub Jude Lee*, Jungseob Lee*, Seungyoon Lee, Seongtae Hong, Suhyune Son, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim [*equal contribution]

AACL-IJCNLP 2026 (Findings)

RL from Teacher-Model Refinement: Gradual Imitation Learning for Machine Translation

Dongyub Jude Lee, Zhenyi Ye, Pengcheng He

EMNLP 2026 (Findings)

2024

Tree-of-Question: Structured Retrieval Framework for Korean Question Answering Systems

Dongyub Lee, Younghun Jeong, Hwayeon Kim, Hongyeon Yu, Seunghyun Han, Taesun Whang, Seungwoo Cho, Chanhee Lee, Gunsu Lee, Youngbum Kim

NAACL 2024, Industry Track

Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning

Dongyub Lee, Eunhwan Park, Hodong Lee, Heuiseok Lim

EACL 2024

2022

You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge

Jungwoo Lim, Myugnhoon Kang, Yuna Hur, Seung Won Jeong, Jinsung Kim, Yoonna Jang, Dongyub Lee, Hyesung Ji, DongHoon Shin, Seungryong Kim and Heuiseok Lim

EMNLP 2022 (Findings)

Towards Filling the Gap between Written and Spoken Dialogues for Multi-Domain Dialogue State Tracking

Taesun Whang, Jungwoo Limm, Dongyub Lee

DSTC10, AAAI 2022

2021

Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization

Dongyub Lee, Jungwoo Lim, Taesun Whang, Chanhee Lee, Seungwoo Cho, Mingun Park and Heuiseok Lim

NewSum, EMNLP 2021

Auxiliary Sequence Labeling Tasks for Disfluency Detection

Dongyub Lee, Byeongil Ko, Myeong Cheol Shin, Taesun Whang, Daniel Lee, Eun Hwa Kim, EungGyun Kim, Jaechoon Jo

INTERSPEECH 2021

Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis

{Shinhyeok Oh, Dongyub Lee}*, Taesun Whang, IlNam Park, Gaeun Seo, EungGyun Kim, Harksoo Kim [*equal contribution]

ACL 2021 (main)

Do Response Selection Models Really Know What’s Next? Utterance Manipulation Strategies for Multi-turn Response Selection

Taesun Whang*, Dongyub Lee*, Dongsuk Oh, Chanhee Lee, Kijong Han, Dong-hun Lee, Saebyeok Lee [*equal contribution]

AAAI 2021

2020

Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization

Dongyub Lee, Myeongcheol Shin, Taesun Whang, Seungwoo Cho, Byeongil Ko, Daniel Lee, Eunggyun Kim, Jaechoon Jo

COLING 2020

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection

Taesun Whang, Dongyub Lee, Chanhee Lee, Kisu Yang, Dongsuk Oh, HeuiSeok Lim

Interspeech 2020

Development of Fashion Product Retrieval and Recommendations Model Based on Deep Learning

Jaechoon Jo, Seolhwa Lee, Chanhee Lee, Dongyub Lee, Heuiseok Lim

Electronics 9.3 (Mar. 2020)

2019

Integrating breakdown detection into dialogue systems to improve knowledge management: encoding temporal utterances with memory attention

SEOLHWA LEE, DONGYUB LEE, DANIAL, HOOSHYAR JAECHOON JO, HEUISEOK LIM

INFORMATION TECHNOLOGY AND MANAGEMENT-2019 (SCIE)

EmotionX-KU: BERT-Max based Contextual Emotion Classifier

Kisu Yang, Dongyub Lee, Taesun Whang, Seolhwa Lee, Heuiseok Lim

IJCAI 2019 Workshop on SocialNLP (EmotionX)

Enhanced Sequential Representation Augmented with Utterance-level Attention for Response Selection

Taesun Whang, Dongyub Lee, Chanhee Lee, Heuiseok Lim

AAAI 2019 Workshop on DSTC7

2018

Character-Level Feature Extraction with Densely Connected Networks

Chanhee Lee, Young-Bum Kim, Dongyub Lee, Heuiseok Lim

COLING 2018

Appointments & Awards

Year Award
2021 3rd place in Task1 and 5th place in Task2, Dialogue State Tracking Challenge (DSTC 10) Track2, AAAI 2022
2019 2nd place in the EmotionX (shared task of SocialNLP), IJCAI 2019
2019 Fourth place in the DSTC-7 tack-1 task, AAAI 2019
2018 Bronze Prize in the Korean Language Information Processing Competition (Dependency Parser), HCLT 2018
2018 Kakao Research Scholarship
2017 Gold Prize in Korean Language Information Processing Competition (Named Entity Recoginition), HCLT 2017
2016 Software Maestro 6th (Completion of Phase 1, Advance to Phase 2)