4 citations · 4 across the 6 of their papers we have counts for
6 papers
Framing Matters: Addressing Framing Sensitivity in Decision-Making through Behaviorally-Grounded Value Alignment
Seojin Hwang, Minju Kim, Junhyuk Choi +2
Large Language Models (LLMs) are increasingly deployed in high-stakes decision-making settings such as legal reasoning, where consistency under factually equivalent inputs is criti…
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…
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…
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'…
Leveraging Large Language Models for Active Merchant Non-player Characters
Byungjun Kim, Minju Kim, Dayeon Seo +1
We highlight two significant issues leading to the passivity of current merchant non-player characters (NPCs): pricing and communication. While immersive interactions with active N…
Examining Identity Drift in Conversations of LLM Agents
Junhyuk Choi, Yeseon Hong, Minju Kim +1
Large Language Models (LLMs) show impressive conversational abilities but sometimes show identity drift problems, where their interaction patterns or styles change over time. As th…