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cs.HC2025
MATE: Diagnosing Empathy Calibration Failures in Multi-Turn Human-LLM Interaction
Yeseon Hong, Junhyuk Choi, Minju Kim +1
Large language models are increasingly used in emotionally consequential interactions. Response-level evaluation, however, struggles to diagnose how empathy fails across turns. We…
cs.CL2025
PHISH in MESH: Korean Adversarial Phonetic Substitution and Phonetic-Semantic Feature Integration Defense
Byungjun Kim, Minju Kim, Hyeonchu Park +1
As malicious users increasingly employ phonetic substitution to evade hate speech detection, researchers have investigated such strategies. However, two key challenges remain. Firs…
cs.CL2025
A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models
Junhyuk Choi, Minju Kim, Yeseon Hong +1
As large vision language models(LVLMs) rapidly advance, concerns about their potential to learn and generate social biases and stereotypes are increasing. Previous studies on LVLM'…