Testing the Utility of Using Large Language Models to Create Personalized Networks From Therapy Session Transcripts: A Proof of Concept Study

arXiv:2512.05836 · cs.AI · Submitted 2025-12-05 · Read on arXiv

cs.AI

Submitted: 2025-12-05

Updated: 2026-09-25

Terminology

• Clustering — 19× in this paper · explained in 2 episodes
• Personalization — 12× in this paper · explained in 2 episodes
• Annotator Agreement — 11× in this paper · explained in 1 episode
• Redundancy — 9× in this paper · explained in 2 episodes
• Longitudinal Data — 7× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• F1 Score — 4× in this paper · explained in 3 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• In-Context Learning — 4× in this paper · explained in 4 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Ensemble Learning — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Contextual Awareness — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis
• The Llama 3 Herd of Models
• A Comprehensive Evaluation of Large Language Models on Mental Illnesses
• Text Clustering as Classification with LLMs
• Towards Transparent AI: A Survey on Explainable Large Language Models
• A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions
• Qwen3 Technical Report
• Cognitive Mirage: A Review of Hallucinations in Large Language Models

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