{"total":53,"rows":[{"id":"2307.14385","title":"Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data","created":"2023-07-26","cited_by_count":66,"area":null},{"id":"2403.14814","title":"The opportunities and risks of large language models in mental health","created":"2024-03-21","cited_by_count":54,"area":null},{"id":"2304.03347","title":"Towards Interpretable Mental Health Analysis with Large Language Models","created":"2023-04-06","cited_by_count":53,"area":null},{"id":"2304.14670","title":"Prompt Engineering for Healthcare: Methodologies and Applications","created":"2023-04-28","cited_by_count":52,"area":null},{"id":"2305.13614","title":"LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation","created":"2023-05-23","cited_by_count":34,"area":null},{"id":"2401.02984","title":"Large Language Models in Mental Health Care: a Scoping Review","created":"2024-01-01","cited_by_count":34,"area":null},{"id":"2401.11839","title":"AI for social science and social science of AI: A Survey","created":"2024-01-22","cited_by_count":29,"area":null},{"id":"2307.12114","title":"A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks","created":"2023-07-22","cited_by_count":25,"area":null},{"id":"2305.14310","title":"Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science","created":"2023-05-23","cited_by_count":19,"area":null},{"id":"2307.11346","title":"CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study","created":"2023-07-21","cited_by_count":19,"area":null},{"id":"2402.11958","title":"Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs","created":"2024-02-19","cited_by_count":19,"area":null},{"id":"2410.22446","title":"Do Large Language Models Align with Core Mental Health Counseling Competencies?","created":"2024-10-29","cited_by_count":19,"area":null},{"id":"2307.14107","title":"Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions","created":"2023-07-26","cited_by_count":18,"area":null},{"id":"2401.01519","title":"Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review","created":"2024-01-03","cited_by_count":17,"area":null},{"id":"2309.16639","title":"MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Intervention","created":"2023-09-28","cited_by_count":16,"area":null},{"id":"2503.24307","title":"A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG","created":"2025-03-31","cited_by_count":15,"area":"rag"},{"id":"2403.15401","title":"Large Language Model for Mental Health: A Systematic Review","created":"2024-02-19","cited_by_count":14,"area":null},{"id":"2311.09189","title":"PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models","created":"2023-11-15","cited_by_count":13,"area":null},{"id":"2310.11753","title":"Bias in Emotion Recognition with ChatGPT","created":"2023-10-18","cited_by_count":11,"area":null},{"id":"2311.13063","title":"From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models","created":"2023-11-21","cited_by_count":11,"area":"lr"},{"id":"2401.04655","title":"DepressionEmo: A novel dataset for multilabel classification of depression emotions","created":"2024-01-09","cited_by_count":10,"area":null},{"id":"2312.04578","title":"Towards a Psychological Generalist AI: A Survey of Current Applications of Large Language Models and Future Prospects","created":"2023-12-01","cited_by_count":8,"area":null},{"id":"2409.10064","title":"MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM","created":"2024-09-16","cited_by_count":7,"area":null},{"id":"2409.15687","title":"A Comprehensive Evaluation of Large Language Models on Mental Illnesses","created":"2024-09-24","cited_by_count":7,"area":null},{"id":"2406.08183","title":"Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction","created":"2024-06-12","cited_by_count":6,"area":null},{"id":"2504.02800","title":"Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agents","created":"2025-04-03","cited_by_count":6,"area":"agents"},{"id":"2505.14038","title":"ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data","created":"2025-05-20","cited_by_count":6,"area":"lr"},{"id":"2312.06093","title":"PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models","created":"2023-12-11","cited_by_count":5,"area":null},{"id":"2406.12033","title":"Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models","created":"2024-06-17","cited_by_count":5,"area":null},{"id":"2501.08413","title":"Labeling Free-text Data using Language Model Ensembles","created":"2025-01-14","cited_by_count":5,"area":null},{"id":"2405.11178","title":"Automating PTSD Diagnostics in Clinical Interviews: Leveraging Large Language Models for Trauma Assessments","created":"2024-05-18","cited_by_count":4,"area":null},{"id":"2409.14794","title":"Advancing Depression Detection on Social Media Platforms Through Fine-Tuned Large Language Models","created":"2024-09-23","cited_by_count":4,"area":null},{"id":"2509.12102","title":"Can LLMs Address Mental Health Questions? A Comparison with Human Therapists","created":"2025-09-15","cited_by_count":4,"area":null},{"id":"2404.05012","title":"Towards Reliable and Empathetic Depression-Diagnosis-Oriented Chats","created":"2024-04-07","cited_by_count":3,"area":null},{"id":"2512.02716","title":"Menta: A Small Language Model for On-Device Mental Health Prediction","created":"2025-12-02","cited_by_count":3,"area":null},{"id":"2311.09861","title":"ConceptPsy:A Benchmark Suite with Conceptual Comprehensiveness in Psychology","created":"2023-11-16","cited_by_count":2,"area":null},{"id":"2508.03247","title":"Somatic in the East, Psychological in the West?: Investigating Clinically-Grounded Cross-Cultural Depression Symptom Expression in LLMs","created":"2025-08-05","cited_by_count":2,"area":null},{"id":"2606.13176","title":"Mental-R1: Aligning LLM Reasoning for Mental Health Assessment","created":"2026-06-11","cited_by_count":2,"area":"lr"},{"id":"2309.09357","title":"Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model","created":"2023-09-17","cited_by_count":1,"area":null},{"id":"2312.08299","title":"Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data","created":"2023-12-13","cited_by_count":1,"area":null},{"id":"2402.14854","title":"A Dual-Prompting for Interpretable Mental Health Language Models","created":"2024-02-20","cited_by_count":1,"area":"mechinterp"},{"id":"2404.09045","title":"Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model","created":"2024-04-13","cited_by_count":1,"area":null},{"id":"2601.03603","title":"A Comparative Study of Traditional Machine Learning, Deep Learning, and Large Language Models for Mental Health Forecasting using Smartphone Sensing Data","created":"2026-01-07","cited_by_count":1,"area":null},{"id":"2404.01358","title":"Utilizing AI and Social Media Analytics to Discover Adverse Side Effects of GLP-1 Receptor Agonists","created":"2024-04-01","cited_by_count":0,"area":null},{"id":"2409.15188","title":"PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models","created":"2024-09-23","cited_by_count":0,"area":null},{"id":"2503.08002","title":"Predicting and Understanding College Student Mental Health with Interpretable Machine Learning","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2507.01061","title":"Epitome: Pioneering an Experimental Platform for AI-Social Science Integration","created":"2025-06-30","cited_by_count":0,"area":null},{"id":"2512.06227","title":"Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety","created":"2025-12-06","cited_by_count":0,"area":null},{"id":"2602.20648","title":"CARE: An Explainable Computational Framework for Assessing Client-Perceived Therapeutic Alliance Using Large Language Models","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2605.05121","title":"Beyond Semantics: An Evidential Reasoning-Aware Multi-View Learning Framework for Trustworthy Mental Health Prediction","created":"2026-05-06","cited_by_count":0,"area":"lr"},{"id":"2605.09634","title":"Can We Trust LLMs for Mental Health Screening? Consistency, ASR Robustness, and Evidence Faithfulness","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2609.01832","title":"Interpretable Symptom Vectors for Depression in a Large Language Model","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.22734","title":"Clinical Domain Classification from Medical Transcriptions","created":"2026-09-19","cited_by_count":0,"area":null}],"next_cursor":null}