Papers by Raymond Alavo
Dash-M5H: An Interactive Dashboard for Multi-Modal, Multi-Model Mental Health Assessment (2026.acl-demo)
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Raymond Alavo, Xinyuan Zhang, Gemza Ademaj, Junhui Cai, Hyeokhyen Kwon, Robert Cotes, Gari D. Clifford, Ahmed Abbasi
| Challenge: | Dash-M5H integrates transcript text, audio, and facial behavior with a clinically grounded VLM prediction pipeline that produces DSM-5-aligned depression predictions. |
| Approach: | They propose a dashboard that integrates multimodal behavioral data with multi-model signal outputs of recorded clinical interviews. |
| Outcome: | Dash-M5H is an interactive dashboard for *multi-modal, multi-model mental health assessment that integrates transcript text, audio, and facial behavior with a clinically grounded VLM prediction pipeline. |