Papers by Hye Hyeon Kim
KoACD: The First Korean Adolescent Dataset for Cognitive Distortion Analysis via Role-Switching Multi-LLM Negotiation (2025.findings-emnlp)
Copied to clipboard
| Challenge: | Cognitive distortions are negative thinking patterns that can lead to mental health issues in adolescents. |
| Approach: | They propose a multi-Large Language Model negotiation method to refine distortion classification . they also use cognitive clarification and cognitive balancing to improve label consistency . |
| Outcome: | The proposed dataset contains 108,717 instances of cognitive distortions in Korean adolescents. |
Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortion Detection (2026.acl-long)
Copied to clipboard
| Challenge: | Cognitive distortions are systematic errors in thinking that occur when individuals perceive and interpret external information, leading to a negative conclusion that does not correspond to reality. |
| Approach: | They propose a framework that combines Large Language Models with a Multiple-Instance Learning architecture to enhance interpretability and expression-level reasoning. |
| Outcome: | The proposed framework improves interpretability and expression-level reasoning on Korean and English datasets. |