ChatCounselor: A Large Language Models for Mental Health Support
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Abstract (arXiv)
This paper presents ChatCounselor, a large language model (LLM) solution designed to provide mental health support. Unlike generic chatbots, ChatCounselor is distinguished by its foundation in real conversations between consulting clients and professional psychologists, enabling it to possess specialized knowledge and counseling skills in the field of psychology. The training dataset, Psych8k, was constructed from 260 in-depth interviews, each spanning an hour. To assess the quality of counseling responses, the counseling Bench was devised. Leveraging GPT-4 and meticulously crafted prompts based on seven metrics of psychological counseling assessment, the model underwent evaluation using a set of real-world counseling questions. Impressively, ChatCounselor surpasses existing open-source models in the counseling Bench and approaches the performance level of ChatGPT, showcasing the remarkable enhancement in model capability attained through high-quality domain-specific data.
Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). Builds on 26 of its 42 references that are in the map. First posted on arXiv 27 Sep 2023.
Builds on
26 of 42 references.
References · 26
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- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
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14 more
- 2023Large Language Models as Zero-Shot Conversational Recommenderscited by 126
- 2021PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Supportcited by 92
- 2022ChatGPT: The End of Online Exam Integrity?cited by 88
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- 2023A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3cited by 46
- 2023SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Supportcited by 46
- 2022PAL: Persona-Augmented Emotional Support Conversation Generationcited by 39
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- 2023Mind meets machine: Unravelling GPT-4's cognitive psychologycited by 31
- 2021Zero-Shot Recommendation as Language Modelingcited by 28
- 2023Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionalscited by 24
- 2022CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generationcited by 18
- 2023A Benchmark for Understanding Dialogue Safety in Mental Health Supportcited by 13
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Citing papers per year: 2023: 5; 2024: 14; 2025: 15; 2026: 10.
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12 most cited of 30 All 30 (JSON)
- 2026Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms23 Sep 2026
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- 2026On-Device Language Models for Privacy-Preserving Stress Prediction: A Multimodal Evaluation on Mobile Health11 Aug 2026
- 2026EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimation21 May 2026
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- 2026From "Help" to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applications12 Jan 2026
- 2025Stroke Modeling Enables Vectorized Character Generation with Large Vectorized Glyph Model14 Nov 2025
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