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Minkyeong Jeon
Minkyeong Jeon
Minkyeong Jeon is an undergraduate at Korea University, double majoring in Computer science and engineering and Biology.
She has conducted research on constructing datasets for implicit hate speech. Currently, she is interested in (1) learning interpretable representations without supervision that elucidate the structure of black-box latent spaces, (2) aligning modalities across different domains, and (3) addressing ethical issues related to hate speech through multimodal approaches. Outside of academics, she loves discovering feathered gems from around the world as a birder.
Here is my resumé.
Education
Education
Korea University
B.S. in Computer Science & Enginnering
B.S. in Biology
Korea University
B.S. in Computer Science & Enginnering
B.S. in Biology
University of Texas at Austin
Computer Science (Exchange Student)
University of Texas at Austin
Computer Science (Exchange Student)
Mar. 2021 - Feb. 2026 (Expected)
Aug. 2024 - Mar. 2025
KIAT-IIE STEM Exchange Student Grant ($1,800)
Publication
Publication
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
Minkyeong Jeon*, Hyemin Jeong*, Yerang Kim, Jiyoung Kim, JaeHyeon Cho and Byung-Jun Lee
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025
in-person volunteer @ Vienna, Austria
Patent
Patent
Method for Detoxifying Implicitly Offensive Language in Korean using LLMs (Patent under review)
Projects
Projects
Projects from competitions, AI organization, and undergraudate coursework
Don’t Be Shy: Relating LM Metrics to Speaker Confidence
Oct. 2024 – Dec. 2024
Analysis of interjections and uncertainty of conversation and training a model predicting the uncertainty
DPO-based Korean Language Detoxification with Context-Appropriate Emojis
Mar. 2024– Jun. 2024
Synthesized a 38k triplet paired hate speech dataset (toxic/purified/purified & emojis 😊 sentences)
Trained a Large Language model based of RLAIF for language detoxification
Outpainting with Edge Generation
Mar, 2024– Jun. 2024 Github
Proposed a model architecture to enhance outpainting performance using Attention GAN and Repaint DDPM
Di-foot-sion Project
Jan. 2024 – Feb. 2024 Github
Human pose generation using ControlNet, Image outpainting using Stable Diffusion
Autonomous Grocery Cart
Sep. 2023 – Feb. 2024 Github
Autonomous cart to support to assist individuals using wheelchairs and families with children at mart.
RGB camera, ultrasonic sensors, motor control for obstacle detection and navigation
GuidingBee
Jul. 2023 – Aug. 2023 Github
Object guidance device for visually impaired people
RGB camera, HTTP server, solenoid-based Braille printer, Raspberry Pi
Arctic Sea Thawing Prediction
Feb. 2023 Github
Improved performance of arctic sea thawing prediction model (regression, ConvLSTM)
Garbage Classification
Feb. 2023 Github
Improved performance of garbage classification model
AIKU 2024 Summer Project Competition
🏆 2nd Place
Received $1,500 funding from the 2024 Youth Job Experience Program (Mirae Naeil Initiative), supported by the Ministry of Employment and Labor, Republic of Korea.
AIKU 2024 Winter Project Competition
🏆 1st Place
HandS 2024 Makerthon
🏆 1st Place
YCCxKUCC 2023 AI Boot Camp
🏆 1st Place
AI Boot Camp at Korea University
🏆 2nd Place
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