4 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
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'…
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…
People will agree what I think: Investigating LLM's False Consensus Effect
Junhyuk Choi, Yeseon Hong, Bugeun Kim
Large Language Models (LLMs) have been recently adopted in interactive systems requiring communication. As the false belief in a model can harm the usability of such systems, LLMs…