collaborators

13 papers

cs.AI2026

EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers

Junyeong Park, Jieun Han, Haneul Yoo +3

Large language models (LLMs) are increasingly used across diverse tasks in K-12 education, yet existing safety evaluations rarely examine how harmful or inappropriate content appea…

cs.CV2026

Investigating Social Bias in Narrative Image Generation

Junyeong Park, Sowon Min, Euna Jang +5

Text-to-image (T2I) generation models are increasingly embedded in applications such as media content creation and education, raising concerns about how their outputs may reproduce…

cs.CL2026

Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability

Alicia Parrish, Rajat Shinde, Sanket Badhe +57

Current AI safety evaluation and benchmarking frameworks predominantly rely on Western-centric culture-agnostic defaults that mask critical regional laws, socio-linguistic nuances,…

cs.CL2026

JuICE: A Benchmark for Evaluating LLM-Judge in Identifying Cultural Errors

Jiho Jin, Junho Myung, Juhyun Oh +5

As large language models (LLMs) are increasingly deployed to users around the world, they are integrated into everyday tasks across diverse cultural contexts, from drafting persona…

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.CL2026

Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean Dialogues

Eunsu Kim, Junyeong Park, Juhyun Oh +5

As LLMs are increasingly deployed in real-world interactions, their social reasoning in interpersonal communication becomes critical. To explore their capabilities, we introduce SC…