Phi-4 and Gemma-2-9B maintain high intra-model consistency (ICC > 0.89) and ASR robustness for HADS scoring while Llama-3.1-8B degrades sharply, with all models showing score-evidence dissociation.
Depression detection on social media with large language models
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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This survey discusses key components and challenges for Personal LLM Agents and reviews solutions for their capability, efficiency, and security.
citing papers explorer
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Can We Trust LLMs for Mental Health Screening? Consistency, ASR Robustness, and Evidence Faithfulness
Phi-4 and Gemma-2-9B maintain high intra-model consistency (ICC > 0.89) and ASR robustness for HADS scoring while Llama-3.1-8B degrades sharply, with all models showing score-evidence dissociation.
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Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
This survey discusses key components and challenges for Personal LLM Agents and reviews solutions for their capability, efficiency, and security.