Symptom Induction compresses labeled data into interpretable guidelines that improve LLM classification of depression symptoms in text, outperforming zero-shot, in-context, and fine-tuning approaches with gains on rare symptoms and cross-disease generalization.
Beck Depression Inventory–II
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Observational study links specific Moodle usage behaviors to higher depression and anxiety scores in 97 computer engineering students.
citing papers explorer
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Learning Evidence of Depression Symptoms via Prompt Induction
Symptom Induction compresses labeled data into interpretable guidelines that improve LLM classification of depression symptoms in text, outperforming zero-shot, in-context, and fine-tuning approaches with gains on rare symptoms and cross-disease generalization.
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Behavioral and Performance Indicators of Depression and Anxiety in Electronic Learning Systems
Observational study links specific Moodle usage behaviors to higher depression and anxiety scores in 97 computer engineering students.