Minki Hong
Hi! Iβm Minki Hong. I received my M.S. in Computer Science and Artificial Intelligence from Dongguk University (GPA 4.5/4.5), advised by Professor Jihie Kim, and my B.S. in Computer Science & Engineering from Dongguk University.
My research interests lie in developing AI systems that align with human social norms and values. I focus on the intersection of generative AI, social norms, and bias mitigation, with a particular emphasis on fairness and inclusivity. I am especially fascinated by how cultural and social contexts shape communication and how AI models can better capture these nuances. In addition, I explore methods to improve the quality of generative AI responses in low-resource environments, aiming to make AI more accessible and equitable across diverse linguistic and cultural settings.
I am also deeply interested in eliciting reasoning capabilities in both large language models (LLMs) and visionβlanguage models (VLMs). I find it exciting that different prompting and training strategies can enable smaller models to approach the performance of much larger ones, and I am actively exploring methods to bridge this gap.
I recently completed a six-month visiting research program at the Robotics Institute of Carnegie Mellon University under the supervision of Professor Jean Oh, where I studied the interaction between robotics and generative AI and investigated demographic and cultural biases in generative image models.
If you would like to connect or chat, please feel free to reach out:
π§ jackyh1@dgu.ac.kr | π§ minkih@andrew.cmu.edu | π LinkedIn | π My blog
π° News
- Mar 16, 2026 β Starting Internship at SKT π
- Feb 22, 2026 β New preprint on arXiv! π
- Jan 04, 2026 β EACL 2026 (Findings) paper accepted! π
- Dec 12, 2025 β IASEAI 2026 paper accepted! π
- Nov 11, 2025 β π SAC Highlights at EMNLP 2025 π
π Publications
- Under Review β Evaluating Demographic Misrepresentation in Image-to-Image Portrait Editing
- EACL 2026 (Findings) β VisDoT : Enhancing Visual Reasoning through Human-Like Interpretation Grounding and Decomposition of Thought
- Mathematics β Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis
- IASEAI 2026 β Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
- EMNLP 2025 β NormGenesis: Multicultural Dialogue Generation via Exemplar-Guided Social Norm Modeling and Violation Recovery
π Education
- M.S. in Computer Science and Artificial Intelligence. Dongguk University. Mar. 2024 - Feb. 2026 (GPA 4.5/4.5)
- B.S. in Computer Science & Engineering. Dongguk University. Mar. 2018 - Feb. 2024
