mlsanityData to 14 Oct 2026

Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals

arXiv 2308.15192 ↗First posted 29 Aug 2023cs.AI cs.CLcited by 24

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Abstract (arXiv)

In the contemporary landscape of social media, an alarming number of users express negative emotions, some of which manifest as strong suicidal intentions. This situation underscores a profound need for trained psychological counselors who can enact effective mental interventions. However, the development of these professionals is often an imperative but time-consuming task. Consequently, the mobilization of non-professionals or volunteers in this capacity emerges as a pressing concern. Leveraging the capabilities of artificial intelligence, and in particular, the recent advances in large language models, offers a viable solution to this challenge. This paper introduces a novel model constructed on the foundation of large language models to fully assist non-professionals in providing psychological interventions on online user discourses. This framework makes it plausible to harness the power of non-professional counselors in a meaningful way. A comprehensive study was conducted involving ten professional psychological counselors of varying expertise, evaluating the system across five critical dimensions. The findings affirm that our system is capable of analyzing patients' issues with relative accuracy and proffering professional-level strategies recommendations, thereby enhancing support for non-professionals. This research serves as a compelling validation of the application of large language models in the field of psychology and lays the groundwork for a new paradigm of community-based mental health support.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). Builds on 16 of its 43 references that are in the map. First posted on arXiv 29 Aug 2023.

Builds on

16 of 43 references.

References · 16

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4 more
  1. 2023Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Datacited by 66
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 5; 2024: 12; 2025: 4; 2026: 3.

24 papers.

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  1. 2023ChatCounselor: A Large Language Models for Mental Health Supportcited by 44
  2. 2025MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistancecited by 39
  3. 2024Large Language Models in Mental Health Care: a Scoping Reviewcited by 34
  4. 2024PATIENT-Psi: Using Large Language Models to Simulate Patients for Training Mental Health Professionalscited by 21
  5. 2023User Modeling in the Era of Large Language Models: Current Research and Future Directionscited by 18
  6. 2023Rethinking Large Language Models in Mental Health Applicationscited by 16
  7. 2023Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Mediacited by 9
  8. 2023Towards a Psychological Generalist AI: A Survey of Current Applications of Large Language Models and Future Prospectscited by 8
  9. 2024Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Studycited by 6
  10. 2024Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapycited by 5
  11. 2024Automating PTSD Diagnostics in Clinical Interviews: Leveraging Large Language Models for Trauma Assessmentscited by 4
  12. 2025Roleplaying with Structure: Synthetic Therapist-Client Conversation Generation from Questionnairescited by 4
12 more
  1. 2026PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselorcited by 4
  2. 2024Enhancing Psychotherapy Counseling: A Data Augmentation Pipeline Leveraging Large Language Models for Counseling Conversationscited by 3
  3. 2024A Generic Review of Integrating Artificial Intelligence in Cognitive Behavioral Therapycited by 2
  4. 2025Somatic in the East, Psychological in the West?: Investigating Clinically-Grounded Cross-Cultural Depression Symptom Expression in LLMscited by 2
  5. 2024VCounselor: A Psychological Intervention Chat Agent Based on a Knowledge-Enhanced Large Language Modelcited by 1
  6. 2024AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Textscited by 1
  7. 2024SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media Analysiscited by 1
  8. 2024Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Modelcited by 1
  9. 2026From "Help" to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applicationscited by 1
  10. 2024Chatting Up Attachment: Using LLMs to Predict Adult Bondscited by 0
  11. 2025A Case for Leveraging Generative AI to Expand and Enhance Training in the Provision of Mental Health Servicescited by 0
  12. 2026Steering the Compass: Aligning Dynamic Psychological Counseling Conversations with Cognitive Behavioral Therapy Strategiescited by 0