👋 About Me

I am a Master's student in Artificial Intelligence at Hanyang University and a member of HYU NLP Lab, advised by Prof. Taeuk Kim. My research lies at the intersection of Natural Language Processing, Human-Computer Interaction, and empirical AI alignment, with a focus on the reliability of preference signals in LLM-based systems.

My research centers on understanding and improving how LLM-based systems capture, evaluate, and act on human preferences. I have a long-standing interest in human preference modeling, personalization, human alignment, evaluation, and LLM-as-a-Judge. In particular, I study how evaluation frameworks and agentic systems can better reflect human judgments, adapt to individual users, and make decisions that are reliable, interpretable, and aligned with human values.

My broader goal is to develop human-centered language technologies that support personalized and trustworthy interactions between people and AI systems.

🧠 Research Interests

Human preference and personalization.
Human alignment and human-centered AI.
LLM evaluation and LLM-as-a-Judge.
Rubric-based evaluation and reward reliability.
Memory-augmented and tool-using LLM agents.
Dialogue systems and interactive AI.

Latest News See all

[June 2026] Selected for the 2026 AI SeoulTech Graduate Scholarship, awarded by the Seoul Future Foundation; researching on "Rubric-based evaluation/training for personalized AI agents."
[June 2026] Selected as a student volunteer for ICML 2026 in Seoul, South Korea.
[March 2026] "Latent Preference Modeling for Cross-Session Personalized Tool Calling" is now on arXiv.
[March 2026] "Comparison of Rubric Strategies for LLM-as-a-Judge in Korean" was accepted to KCC 2026 (Poster).

Selected Publications See all

Yejin Yoon*, Minseo Kim*, Taeuk Kim.

"Latent Preference Modeling for Cross-Session Personalized Tool Calling"

Under Review

Paper

Yejin Yoon, Yuri Son, Namyoung So, Minseo Kim, Minsoo Cho, Chanhee Park, Seungshin Lee, Taeuk Kim.

"Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents"

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Main Conference, Poster), 2025

Paper

Wooseong Lee, Minseo Kim, Taeil Hur, Gyeonghwan Jang, Woncheol Lee, Maro Na, Taeuk Kim.

"ENGinius: A Bilingual LLM Optimized for Plant Construction Engineering"

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Industry Track, Poster), 2025

Paper

Minseo Kim, Taemin Kim, Thu Hoang Anh Vo, Yugyeong Jung, Uichin Lee.

"Exploring Modular Prompt Design for Emotion and Mental Health Recognition"

Conference on Human Factors in Computing Systems (CHI 2025, Oral), 2025

Paper

Education

Hanyang University, M.S. in Artificial Intelligence, February 2027.
Hankuk University of Foreign Studies, B.S. in Language Technology and B.S. in AI Convergence, February 2025.

Projects

Ultra-long-term Memory Conversational Agent, NRF Excellent Young Researcher Program, National Research Foundation of Korea, 2025-2028.
Research on Composite Intent Modeling for Advanced Speech Recognition, Hyundai Motor Company, 2024-2026.

Honors

AI SeoulTech Graduate Scholarship, 2026 and 2025.
NRF Master's Student Research Encouragement Grant, 2025.
Graduate Research Assistant Scholarship, Hanyang University, 2025.
Undergraduate Division Honorable Mention, KCC 2024.

Academic Services

Student Volunteer, ICML 2026, Seoul, South Korea.

Teaching Experiences

Teaching Assistant, Natural Language Processing, Hanyang University, September - December 2025.
Teaching Assistant, HUFS, September 2022 - June 2024.

View full CV