Yejin Son

Hi! I’m Yejin Son, a Master student in Artificial Intelligence at the Yonsei University advised by Youngjae Yu.
I received my B.S. in Economics and Applied Statistics from Yonsei.

Research Interests

I pursue research in Multimodal learning, with a particular focus on Social-Aware & Human-centered AI, including responsible AI and pluralistic alignment. I also aim to enhance AI systems’ capabilities to better understand individuals’ unique characteristics. Ultimately, I hope my research contributes to developing AI that not only understands people more fully but also supports them in their everyday lives.

Publications

coming soon
Under Review

Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
Yejin Son*, Shubin Kim*, Junyeong Park, Keummin Ka, Seungbeen Lee, Jaeyoung Lee, Hyeju Jang, Alice Oh, Youngjae Yu
Coming Soon
Subtle Risks teaser
EMNLP 2025 Main

Subtle Risks, Critical Failures: A Framework for Diagnosing Physical Safety of LLMs for Embodied Decision Making
Yejin Son*, Minseo Kim*, Sungwoong Kim, Seungju Han, Jian Kim, Dongju Jang, Youngjae Yu, Chan Young Park
Published in EMNLP 2025
[Paper]
coming soon
EMNLP 2025 findings

Multimodal UNcommonsense: From Odd to Ordinary and Ordinary to Odd
Yejin Son*, Saejin Kim*, Dongjun Min, Youngjae Yu
Published in EMNLP 2025
[Paper]
coming soon
COLM 2025

G1yphD3c0de: Towards Safer Language Models on Visually Perturbed Texts
Yejin Choi, Yejin Yeo, Yejin Son, Seungju Han, Youngjae Yu
Published in COLM 2025
[Paper]
ToM teaser
Preprint

Mind the Motions: Benchmarking Theory‑of‑Mind in Everyday Body Language
Seungbeen Lee, Jinhong Jeong, Donghyun Kim, Yejin Son, Youngjae Yu
Coming Soon
Book Norms teaser
EMNLP 2023

Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms
Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu
Published in EMNLP 2023
[Paper]