activity
20242026
collaborators

8 papers

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.AI2026

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers

Wooseok Seo, Seungju Han, Jaehun Jung +6

Fact verification is essential for ensuring the reliability of LLM applications. In this study, we evaluate 12 pre-trained LLMs and one specialized fact-verifier, including frontie…

cs.LG2025

Representation Bending for Large Language Model Safety

Ashkan Yousefpour, Taeheon Kim, Ryan S. Kwon +7

Large Language Models (LLMs) have emerged as powerful tools, but their inherent safety risks - ranging from harmful content generation to broader societal harms - pose significant…

cs.CL2025

Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games

Seungwon Lim, Seungbeen Lee, Dongjun Min +1

Artificial agents are increasingly central to complex interactions and decision-making tasks, yet aligning their behaviors with desired human values remains an open challenge. In t…

cs.CL2025

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics

Seungbeen Lee, Seungwon Lim, Seungju Han +9

Recent advancements in Large Language Models (LLMs) have led to their adaptation in various domains as conversational agents. We wonder: can personality tests be applied to these a…