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Papers
A Survey of Cognitive Distortion Detection and Classification in NLP
EMNLP 2025
Exploratory Study into Relations between Cognitive Distortions and Emotional Appraisals
NAACL 2025
Is Your Multimodal Language Model Oversensitive to Safe Queries?
ICLR 2025
KoACD: The First Korean Adolescent Dataset for Cognitive Distortion Analysis via Role-Switching Multi-LLM Negotiation
EMNLP 2025
Metamo: Empowering Large Language Models with Psychological Distortion Detection for Cognition-aware Coaching
EMNLP 2025
Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework
EMNLP 2024
Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation
ACL 2024
C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health
EMNLP 2023
Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting
EMNLP 2023
“Again, Dozens of Refugees Drowned”: A Computational Study of Political Framing Evoked by Presuppositions
NAACL 2022
Identifying Distorted Thinking in Patient-Therapist Text Message Exchanges by Leveraging Dynamic Multi-Turn Context
NAACL 2022
Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation
NAACL 2022