M.S. Student in Artificial Intelligence at Hanyang University
Member of HYU NLP Lab, advised by Prof. Taeuk Kim

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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.

• 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

• "Latent Preference Modeling for Cross-Session Personalized Tool Calling" - Under Review
• "Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents" - EMNLP 2025
• "Exploring Modular Prompt Design for Emotion and Mental Health Recognition" - CHI 2025

• Website: er1123090.github.io
• CV: Document
• Google Scholar: Profile
• LinkedIn: minseo-kim-878526276
• X: @er1123090