MentaLLaMA
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Paper summary
An open-source LLM family specialized for interpretable mental-health analysis on social media.
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01
Mental-health focus: Fine-tuned specifically for mental-health analysis tasks including depression, anxiety, and stress detection in social media text.
02
Instruction-following: Supports instruction-following interfaces, letting clinicians and researchers query the model in natural language rather than via fixed classifiers.
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105K instruction dataset: Releases a multi-task, multi-source interpretable mental-health instruction dataset with 105K samples.
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Interpretability-first: Emphasizes interpretable predictions rather than black-box classification, important for downstream clinical or research use.