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Structure vs. Chain-of-Thought: Evaluating LLM Criteria Extraction for Depression Severity

Chen, Xinkai
arXiv (All) · Papers
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computation-and-language
A large language model (LLM) can rate depression severity directly from a social media post or mark which clinical criteria the post shows and let code turn the count into a label. The latter is easier to audit because a clinician can check each marked criterion. We compare these approaches on two R
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