DongGeon Lee
M.S. Student, POSTECH
Graduate School of Artificial Intelligence
dg.lee [AT] postech.ac.kr
About
Hello! I am an M.S. student advised by Prof. Hwanjo Yu at the Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), South Korea. Previously, I received my B.S. degree from the Department of Information and Communication Engineering, Inha University, South Korea.
My research interests are mainly in the field of Natural Language Processing (NLP). As a researcher in NLP, I aim to make a positive impact on the world using data and large language models (LLMs).
In particular, I am dedicated to the following areas:
- Data-centric NLP
- Aligning LLMs/VLMs to build trustworthy and robust AI
- RAG & domain adaptation of LLMs for domain-specific question answering
News
- [Jan. 2025] I'm spending this winter as a research intern at KT!
- [Oct. 2024] Our paper won the Excellent Paper Award from HCLT 2024!
- [Oct. 2024] I won the gold prize in the Korean AI Language Proficiency Challenge held by the NIKL 🇰🇷! [News (Kor.)]
- [Feb. 2024] I got admitted at POSTECH GSAI as an M.S. student.
- [Feb. 2024] I received the Top Engineering Student Award from Inha University!
Education
Pohang University of Science and Technology (POSTECH)Feb. 2024 - Present
M.S. in Artificial Intelligence
(Advisor: Prof. Hwanjo Yu)
Inha UniversityMar. 2018 - Feb. 2024
B.S. in Information & Communication Engineering
Publications
( * indicates equal contribution )
Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study
DongGeon Lee*, Joonwon Jang*, Jihae Jeong, Hwanjo Yu
Preprint
REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models
DongGeon Lee, Hwanjo Yu
SemEval @ ACL 2025
Typed-RAG: Type-Aware Decomposition of Non-Factoid Questions for Retrieval-Augmented Generation
DongGeon Lee*, Ahjeong Park*, Hyeri Lee, Hyeonseo Nam, Yunho Maeng
XLLM @ ACL 2025 | NAACL 2025 SRW (Non-Archival)
Enhancing Adverse Event Reporting with Clinical Language Models: Inpatient Falls
Insook Cho, Hyunchul Park, Byeong Sun Park, DongGeon Lee
Journal of Advanced Nursing (SCIE, IF: 3.8, Q1; 97.2%)
Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study
DongGeon Lee*, Joonwon Jang*, Jihae Jeong, Hwanjo Yu
Preprint
REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models
DongGeon Lee, Hwanjo Yu
SemEval @ ACL 2025
Designing Synthetic Data and Training Strategies for Multi-hop Retrieval-Augmented Generation
Kyumin Lee, Minjin Jeon, Sanghwan Jang, DongGeon Lee, Hwanjo Yu
KCC 2025
Typed-RAG: Type-Aware Decomposition of Non-Factoid Questions for Retrieval-Augmented Generation
DongGeon Lee*, Ahjeong Park*, Hyeri Lee, Hyeonseo Nam, Yunho Maeng
XLLM @ ACL 2025 | NAACL 2025 SRW (Non-Archival)
Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
TaeYoon Kwack*, Jisoo Kim*, Ki Yong Jung, DongGeon Lee, Heesun Park
TRL @ ACL 2025
Enhancing Adverse Event Reporting with Clinical Language Models: Inpatient Falls
Insook Cho, Hyunchul Park, Byeong Sun Park, DongGeon Lee
Journal of Advanced Nursing (SCIE, IF: 3.8, Q1; 97.2%)
Question Types Matter: An Analysis of Question-Answering Performance in Retrieval-Augmented Generation Across Diverse Question Types
DongGeon Lee*, Ahjeong Park*, Hyeri Lee, Hyeonseo Nam, Yunho Maeng
HCLT-KACL 2024
Tabular-TX: Theme-Explanation Structure-based Table Summarization via In-Context Learning
TaeYoon Kwack*, Jisoo Kim*, Ki Yong Jung, DongGeon Lee, Heesun Park
HCLT-KACL 2024; Excellent Paper Award
Effects of Language Differences on Inpatient Fall Detection Using Deep Learning
Insook Cho, EunJu Lee, DongGeon Lee
MedInfo 2023
Bridging the Reporting Gap of Inpatient Falls to Improve Safety Practices Using Deep-Learning-Based Language Models and Multisite Data
DongGeon Lee, EunJu Lee, Insook Cho
AMIA CIC 2023
Through deep learning-based video processing, Design and implementation of Smart Port Parking Information System
Changhun Koo*, Yoonjoo Jung*, DongGeon Lee*
ACK 2021
Vitæ
Full CV in PDF.
-
POSTECH Feb. 2024 - PresentM.S. Student in Artificial Intelligence
DI Lab (Advisor: Prof. Hwanjo Yu) -
KT Corporation Jan. 2025 - Feb. 2025Research Intern
Language AI Team -
Inha Data Intelligence Lab Nov. 2022 - Nov. 2023Undergraduate Research Assistant
Advisor: Prof. Wonik Choi -
Inha Nursing Informatics Lab Jul. 2021 - Jun. 2023Undergraduate Research Assistant
Advisor: Prof. Insook Cho -
Republic of Korea Army Jul. 2019 - Feb. 2021Honorably Discharged as Sergeant
Compulsory Military service -
Inha University Mar. 2018 - Feb. 2024B.S. in Information & Communication Engineering