collaborators

5 papers

cs.HC2026

Does Persona Make LLMs K-pop Fans? A Pilot Study of LLM-Based Online Concert Audience Agents

Kirak Kim, Hyojin Kim, Yejin Son +2

A concert is a collective experience, but recorded performance videos are typically watched alone, stripping away the shared audience presence that makes concerts feel eventful. We…

cs.CL2026

Mind the Motions: Benchmarking Theory-of-Mind in Everyday Body Language

Seungbeen Lee, Jinhong Jeong, Donghyun Kim +2

Our ability to interpret others' mental states through nonverbal cues (NVCs) is fundamental to our survival and social cohesion. While existing Theory of Mind (ToM) benchmarks have…

cs.CL2026

Investigating Counterfactual Unfairness in LLMs towards Identities through Humor

Shubin Kim, Yejin Son, Junyeong Park +6

Humor holds up a mirror to social perception: what we find funny often reflects who we are and how we judge others. When language models engage with humor, their reactions expose t…

cs.CV2026

Multimodal UNcommonsense: From Odd to Ordinary and Ordinary to Odd

Yejin Son, Saejin Kim, Dongjun Min +1

Commonsense reasoning in multimodal contexts remains a foundational challenge in artificial intelligence. We introduce Multimodal UNcommonsense(MUN), a benchmark designed to evalua…

cs.AI2025

Subtle Risks, Critical Failures: A Framework for Diagnosing Physical Safety of LLMs for Embodied Decision Making

Yejin Son, Minseo Kim, Sungwoong Kim +5

Large Language Models (LLMs) are increasingly used for decision making in embodied agents, yet existing safety evaluations often rely on coarse success rates and domain-specific se…