{"total":23,"rows":[{"id":"2204.10432","title":"Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires","created":"2022-04-21","cited_by_count":27,"area":null},{"id":"2303.15445","title":"IRFL: Image Recognition of Figurative Language","created":"2023-03-27","cited_by_count":23,"area":null},{"id":"2205.11308","title":"Symptom Identification for Interpretable Detection of Multiple Mental Disorders","created":"2022-05-23","cited_by_count":20,"area":null},{"id":"2403.10750","title":"Depression Detection on Social Media with Large Language Models","created":"2024-03-16","cited_by_count":20,"area":null},{"id":"2210.05372","title":"DEPTWEET: A Typology for Social Media Texts to Detect Depression Severities","created":"2022-10-10","cited_by_count":12,"area":null},{"id":"2503.21513","title":"Datasets for Depression Modeling in Social Media: An Overview","created":"2025-03-27","cited_by_count":5,"area":null},{"id":"2305.18907","title":"Multitask learning for recognizing stress and depression in social media","created":"2023-05-30","cited_by_count":3,"area":null},{"id":"2403.00438","title":"Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset","created":"2024-03-01","cited_by_count":3,"area":null},{"id":"2505.15556","title":"A Survey on Multilingual Mental Disorders Detection from Social Media Data","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2201.02305","title":"Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task","created":"2022-01-07","cited_by_count":2,"area":null},{"id":"2406.17229","title":"Self-Supervised Embeddings for Detecting Individual Symptoms of Depression","created":"2024-06-25","cited_by_count":2,"area":null},{"id":"2209.02765","title":"Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach","created":"2022-09-06","cited_by_count":1,"area":null},{"id":"2303.14279","title":"Depression detection in social media posts using affective and social norm features","created":"2023-03-24","cited_by_count":1,"area":null},{"id":"2402.13452","title":"LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data","created":"2024-02-21","cited_by_count":1,"area":null},{"id":"2501.16106","title":"Explainable Multimodal Depression Recognition in Clinical Interviews via PHQ-Aligned Symptom Summarization","created":"2025-01-27","cited_by_count":1,"area":null},{"id":"2501.17510","title":"LLM Assistance for Pediatric Depression","created":"2025-01-29","cited_by_count":1,"area":null},{"id":"2512.25015","title":"MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2604.05795","title":"Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversation","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2211.07717","title":"Deep Temporal Modelling of Clinical Depression through Social Media Text","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2404.19359","title":"Evaluating Lexicon Incorporation for Depression Symptom Estimation","created":"2024-04-30","cited_by_count":0,"area":null},{"id":"2503.21679","title":"JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human Self-Destructive Behavior Content in Jirai Community","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2606.02523","title":"FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memes","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2609.39049","title":"Structure vs. Chain-of-Thought: Evaluating LLM Criteria Extraction for Depression Severity","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}