mlsanityData to 14 Oct 2026

Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media

arXiv 2305.05138 ↗First posted 9 May 2023cs.CLcited by 16

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Abstract (arXiv)

This paper proposes a new depression detection system based on LLMs that is both interpretable and interactive. It not only provides a diagnosis, but also diagnostic evidence and personalized recommendations based on natural language dialogue with the user. We address challenges such as the processing of large amounts of text and integrate professional diagnostic criteria. Our system outperforms traditional methods across various settings and is demonstrated through case studies.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 28 of its 48 references that are in the map. First posted on arXiv 9 May 2023.

Builds on

28 of 48 references.

References · 28

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  4. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  5. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,708
  6. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,326
  7. 2022OPT: Open Pre-trained Transformer Language Modelscited by 3,512
  8. 2022Emergent Abilities of Large Language Modelscited by 2,512
  9. 2022Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Themcited by 1,807
  10. 2022Least-to-Most Prompting Enables Complex Reasoning in Large Language Modelscited by 1,407
  11. 2022Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Taskscited by 1,076
  12. 2022A Survey on In-context Learningcited by 721
16 more
  1. 2021Multimodal Few-Shot Learning with Frozen Language Modelscited by 661
  2. 2021ClipCap: CLIP Prefix for Image Captioningcited by 559
  3. 2022Socratic Models: Composing Zero-Shot Multimodal Reasoning with Languagecited by 513
  4. 2022Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoningcited by 350
  5. 2021An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQAcited by 301
  6. 2023Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender Systemcited by 242
  7. 2022Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matterscited by 222
  8. 2022On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoningcited by 194
  9. 2023ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Modelscited by 116
  10. 2017Depression and Self-Harm Risk Assessment in Online Forumscited by 84
  11. 2023Prompting for Multimodal Hateful Meme Classificationcited by 69
  12. 2023ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extractioncited by 38
  13. 2018Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequencescited by 36
  14. 2016Instagram photos reveal predictive markers of depressioncited by 25
  15. 2023It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformerscited by 18
  16. 2020A Multitask Deep Learning Approach for User Depression Detection on Sina Weibocited by 6

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Cited by year

Citing papers per year: 2023: 7; 2024: 4; 2025: 5.

16 papers.

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  1. 2023A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethicscited by 163
  2. 2023LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluationcited by 34
  3. 2023Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionalscited by 24
  4. 2023User Modeling in the Era of Large Language Models: Current Research and Future Directionscited by 18
  5. 2023Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Mediacited by 9
  6. 2023Towards a Psychological Generalist AI: A Survey of Current Applications of Large Language Models and Future Prospectscited by 8
  7. 2024A Comprehensive Evaluation of Large Language Models on Mental Illnessescited by 7
  8. 2024Hybrid Training Approaches for LLMs: Leveraging Real and Synthetic Data to Enhance Model Performance in Domain-Specific Applicationscited by 7
  9. 2024On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlookcited by 6
  10. 2025Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agentscited by 6
  11. 2023Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancementcited by 5
  12. 2024Copiloting Diagnosis of Autism in Real Clinical Scenarios via LLMscited by 3
4 more
  1. 2025Speech as a Multimodal Digital Phenotype for Multi-Task LLM-based Mental Health Predictioncited by 2
  2. 2025Assessing Algorithmic Bias in Language-Based Depression Detection: A Comparison of DNN and LLM Approachescited by 2
  3. 2025Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AIcited by 0
  4. 2025AI Models for Depressive Disorder Detection and Diagnosis: A Reviewcited by 0