mlsanityData to 7 Oct 2026

Towards a Psychological Generalist AI: A Survey of Current Applications of Large Language Models and Future Prospects

arXiv 2312.04578 ↗First posted 1 Dec 2023cs.AI cs.CL cs.LGcited by 8

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Abstract (arXiv)

The complexity of psychological principles underscore a significant societal challenge, given the vast social implications of psychological problems. Bridging the gap between understanding these principles and their actual clinical and real-world applications demands rigorous exploration and adept implementation. In recent times, the swift advancement of highly adaptive and reusable artificial intelligence (AI) models has emerged as a promising way to unlock unprecedented capabilities in the realm of psychology. This paper emphasizes the importance of performance validation for these large-scale AI models, emphasizing the need to offer a comprehensive assessment of their verification from diverse perspectives. Moreover, we review the cutting-edge advancements and practical implementations of these expansive models in psychology, highlighting pivotal work spanning areas such as social media analytics, clinical nursing insights, vigilant community monitoring, and the nuanced exploration of psychological theories. Based on our review, we project an acceleration in the progress of psychological fields, driven by these large-scale AI models. These future generalist AI models harbor the potential to substantially curtail labor costs and alleviate social stress. However, this forward momentum will not be without its set of challenges, especially when considering the paradigm changes and upgrades required for medical instrumentation and related applications.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 42 of its 100 references that are in the map. First posted on arXiv 1 Dec 2023.

Builds on

42 of 100 references.

References · 42

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30 more
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Cited by year

Citing papers per year: 2024: 7; 2025: 1.

8 papers.

  1. 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 622
  2. 2024Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contextscited by 19
  3. 2024Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classificationcited by 13
  4. 2024Deep Learning and Large Language Models for Audio and Text Analysis in Predicting Suicidal Acts in Chinese Psychological Support Hotlinescited by 5
  5. 2024AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Textscited by 1
  6. 2024SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media Analysiscited by 1
  7. 2024Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Modelcited by 1
  8. 2025Data Augmentation for Cognitive Behavioral Therapy: Leveraging ERNIE Language Models using Artificial Intelligencecited by 0