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.
Enhanced large language models for ef- fective screening of depression and anxiety
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Systematic comparison of nine text-only and three multimodal LLMs using in-context learning, reasoning prompts, fine-tuning, and multimodal fusion on DementiaBank speech data finds class-centroid demonstrations and token-level fine-tuning most effective, with adapted open models matching or beating
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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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Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies
Systematic comparison of nine text-only and three multimodal LLMs using in-context learning, reasoning prompts, fine-tuning, and multimodal fusion on DementiaBank speech data finds class-centroid demonstrations and token-level fine-tuning most effective, with adapted open models matching or beating