mental health

Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia NAACL 2025 Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models NAACL 2025 A Dual-Prompting for Interpretable Mental Health Language Models EACL 2024 Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk EACL 2024 Assessing Motivational Interviewing Sessions with AI-Generated Patient Simulations EACL 2024 Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory EMNLP 2024 Can AI Relate: Testing Large Language Model Response for Mental Health Support EMNLP 2024 CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Models EMNLP 2024 CBT-LLM: A Chinese Large Language Model for Cognitive Behavioral Therapy-based Mental Health Question Answering COLING 2024 Cheap Ways of Extracting Clinical Markers from Texts EACL 2024 Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis ACL 2024 Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions ACL 2024 CUET_DUO@StressIdent_LT-EDI@EACL2024: Stress Identification Using Tamil-Telugu BERT EACL 2024 Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework EMNLP 2024 Deciphering psycho-social effects of Eating Disorder : Analysis of Reddit Posts using Large Language Model(LLM)s and Topic Modeling EMNLP 2024 Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning NAACL 2024 Emotional Toll and Coping Strategies: Navigating the Effects of Annotating Hate Speech Data COLING 2024 Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health EMNLP 2024 Estimation of Happiness Changes through Longitudinal Analysis of Employees’ Texts ACL 2024 Ethical thematic and topic modelling analysis of sleep concerns in a social media derived suicidality dataset EACL 2024 Experimenting with Transformer-based and Large Language Models for Classifying Effects of Outdoor Spaces on Social Anxiety in Social Media Data ACL 2024 Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024 Exploring BERT-Based Classification Models for Detecting Phobia Subtypes: A Novel Tweet Dataset and Comparative Analysis COLING 2024 Exploring the Suitability of Transformer Models to Analyse Mental Health Peer Support Forum Data for a Realist Evaluation COLING 2024 Golden_Duck at #SMM4H 2024: A Transformer-based Approach to Social Media Text Classification ACL 2024