SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification
SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification explores A framework using LLMs to generate synthetic psychiatric symptom data for improved mental health identification models.. Commercial viability score: 7/10 in Synthetic Data Generation.
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