An agentic framework orchestrates LLM agents for transcript-based depression detection and converges on stable configurations including cosine similarity, dynamic Top-k, and a 0.75 threshold.
EDT: Improving large language models’ generation by entropy-based dynamic temperature sampling,
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An Agentic LLM-Based Framework for Population-Scale Mental Health Screening
An agentic framework orchestrates LLM agents for transcript-based depression detection and converges on stable configurations including cosine similarity, dynamic Top-k, and a 0.75 threshold.