LENS creates over 100,000 sensor-text QA pairs from 258 participants' EMA data and trains a patch-level encoder that projects raw multimodal sensor streams into an LLM's space, enabling generation of clinically grounded depression and anxiety narratives that outperform baselines on NLP and symptom-1
Table 2:EMA Questions.Categories of depression- and anxiety-related symptoms and their corresponding questions or statements
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LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models
LENS creates over 100,000 sensor-text QA pairs from 258 participants' EMA data and trains a patch-level encoder that projects raw multimodal sensor streams into an LLM's space, enabling generation of clinically grounded depression and anxiety narratives that outperform baselines on NLP and symptom-1