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:

News

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 )

Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question Answering

DongGeon Lee*, Ahjeong Park*, Hyeri Lee, Hyeonseo Nam, Yunho Maeng

NAACL Student Research Workshop 2025

REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models

DongGeon Lee, Hwanjo Yu

Preprint

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%)

Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question Answering

DongGeon Lee*, Ahjeong Park*, Hyeri Lee, Hyeonseo Nam, Yunho Maeng

NAACL Student Research Workshop 2025

REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models

DongGeon Lee, Hwanjo Yu

Preprint

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%)

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

Preprint

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 - Present
    M.S. Student in Artificial Intelligence
    DI Lab (Advisor: Prof. Hwanjo Yu)
  • KT Corporation Jan. 2025 - Feb. 2025
    Research Intern
    Language AI Team
  • Inha Data Intelligence Lab Nov. 2022 - Nov. 2023
    Undergraduate Research Assistant
    Advisor: Prof. Wonik Choi
  • Inha Nursing Informatics Lab Jul. 2021 - Jun. 2023
    Undergraduate Research Assistant
    Advisor: Prof. Insook Cho
  • Republic of Korea Army Jul. 2019 - Feb. 2021
    Honorably Discharged as Sergeant
    Compulsory Military service
  • Inha University Mar. 2018 - Feb. 2024
    B.S. in Information & Communication Engineering