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Notes on depression
2 notes
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Researchers propose a self-evolving annotation framework to create explainable and reliable datasets for Major Depressive Disorder (MDD) research. The framework uses a large language model (LLM) in combination with…
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Researchers have proposed a self-evolving framework to improve the quality of depression symptom annotations in AI systems for mental health research. The framework combines large language models with human expertise…
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