Hello!
I am Keummin Ka, a Master’s student in Artificial Intelligence at Yonsei University. My research primarily focuses on Natural Language Processing (NLP), Multimodal Learning, Vision-Language Models, and Personalized Large Language Models (LLMs). Feel free to explore my research, projects, and professional experience in more detail.
Email: kummin0429@yonsei.ac.kr | Phone: +82) 010-6250-2726
Education
Yonsei University, Seoul, South Korea
M.S. Student, Department of Artificial Intelligence (Sep 2024 - Present)
Yonsei University, Seoul, South Korea
B.S, Department of Electrical and Electronic Engineering (Mar 2020 - Aug 2024)
Publications
Ever-Evolving Memory by Blending and Refining the Past
Authors: Seohyun Kim, Keummin Ka, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo
Connecting the Dots from Data: LLM-driven Tree-search Career Cartographies as Your AI Career Explorer
Authors: Seungbeen Lee, Keummin Ka, Jinhong Jeong, Chaewon Kim, Seungju Han, Youngjae Yu
Preprint.
Not All Who Wander Are Lost: Building Fantasy-World Commonsense with GANDALF
Authors: Keummin Ka*, Min Soo Kim*, Jungyang Park, Chanwoo Choi, Buru Chang, Youngjae Yu
Preprint.
VAGUE: Visual Contexts Clarify Ambiguous Expressions
Authors: Heejeong Nam*, Jinwoo Ahn*, Keummin Ka, Jiwan Chung, Youngjae Yu
arXiv:2411.14137 Accepted to ICCV 2025
An Analysis of the Value Bias of Large Language Models based on the PERMA Theory
Authors: Chaewon Kim, Keummin Ka, Jinhong Jeong, Seungbeen Lee, Youngjae Yu
KAI Proceedings Accepted to The 6th Korea Artificial Intelligence Conference
Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
Authors: Shubin Kim*, Yejin Son, Junyeong Park, Keummin Ka, Seungbeen Lee, Jaeyoung Lee, Hyeju Jang, Alice Oh, Youngjae Yu
Preprint. Under Review by ARR 2025 October
Beyond What Is Shown: A Benchmark for Non-Explicit Causal Reasoning in Infographics
Authors: Keummin Ka*, Junhyeong Park*, Jaehyun Jeon, Youngjae Yu
arXiv:2508.06220 Under Review by AAAI 2026
Work Experience & Internships
Work Experience
- LLM Tutor Development Researcher at Lingora Tutoring (2024.02-2024.06)
- Participation in Building a Customized Korean LLM Tutor for Lingora Tutoring
- 2024 Samsung AI Expert course TA (2024.06.24-2024.06.28)
- Conducted supplementary lessons on NLP and practiced code.
- 2024 SK ML Engineer course TA (2024.07.08-2024.07.12, 2024.07.29-2024.08.02)
- Conducted supplementary lessons on NLP and practiced code.
- SKTelecom Internship (2025.10.20-2025.12.31)
- Proprietary AI Foundation Model Internship in SKT.
- Model Benchmark and Data Processing.
Internships
- Corelab Internship (Jan '22 – Jul '22)
- Compiler Research Lab., Prof. Han-Jun Kim, YONSEI, Korea
- Studied C programming.
- CSE – URP (Jul '23 - Aug '23)
- Machine Intelligence and Data Science (MIDaS) Lab., Prof. Won-Yong Shin, Yonsei University, Korea
- Studied the basics of Generative Models.
- DLIntelligence Lab (Sep '23 – Aug ‘24)
- Data & Language Intelligence Lab., Prof. Jin-Yeong Yeo, YONSEI, Korea
- Studied Natural Language Processing.
Skills
- Languages: English (Intermediate), Korean (Native)
- Tech. Stack: Python, C
Contact
Email: kummin0429@yonsei.ac.kr
Phone: +82) 010-6250-2726