Minju Kim

minnju@yonsei.ac.kr

Hello! I am a Ph.D. candidate at Yonsei University. I am fortunate to be advised by Prof. Jinyoung Yeo. My research goal is to enable machines to deeply understand human traits such as personality, thought processes, and reasoning, and to assist people based on the understanding. To achieve this, my work focuses on conversational AI and synthetic data generation, which are essential for developing systems that can simulate human-like interactions and realistic data to train AI models, improving their ability to comprehend and respond to human needs effectively.

You can find my CV here.

Publications

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics
Seungbeen Lee, Seungwon Lim, Seungju Han, Giyeong Oh, Hyungjoo Chae, Jiwan Chung, Minju Kim, Beong-woo Kwak, Yeonsoo Lee, Dongha Lee, Jinyoung Yeo, Youngjae Yu
NAACL Findings. 2025.
Paper

Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory
Suyeon Lee*, Sunghwan Kim*, Minju Kim*, Dongjin Kang, Dongil Yang, Harim Kim, Minseok Kang, Dayi Jung, Min Hee Kim, Seungbeen Lee, Kyoung-Mee Chung, Youngjae Yu, Dongha Lee, Jinyoung Yeo
EMNLP Findings (Long). 2024.
Paper

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
Minjin Kim*, Minju Kim*, Hana Kim, Beong-woo Kwak, Soyeon Chun, Hyunseo Kim, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee
ACL Findings (Long). 2024.
Paper

BotsTalk: Machine-Sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets
Minju Kim*, Chae Hyeong Kim*, Yong Ho Song*, Seung-won Hwang, Jinyoung Yeo
EMNLP (Long). 2022.
Paper, Code

Dual Task Framework for Improving Persona-grounded Dialogue Dataset
Minju Kim*, Beong-woo Kwak*, Youngwook Kim, Hong-in Lee, Seung-won Hwang, Jinyoung Yeo
AAAI (Oral). 2022.
Paper

Detecting Incongruent News Headlines with Auxiliary Textual Information
Joonwon Jang, Yoonsik Cho, Minju Kim, Misuk Kim
Expert Systems with Applications. 2022.
Paper

Research Experience

Yonsei University 2021.03 - Current
Ph.D. student at DLI Lab, supervised by Prof. Jinyoung Yeo

Amazon AGI Foundations 2024.06 - 2024.09
Applied Scientist Intern, supervised by Rohan Mukherjee and Ching-Yun Chang

Amazon Alexa AI 2023.06 - 2023.09
Applied Scientist Intern, supervised by Shubham Garg

Sejong University 2019.12 - 2021.02
Undergraduate intern at Data Science Lab, supervised by Prof. Yoonsik Cho