Papers by Xinyuan Cai

2 papers
ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding (2026.findings-acl)

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Challenge: Currently, vision-Language Models are optimized for direct visual question-answering tasks.
Approach: They propose a visual-language-based VLM that prioritizes reasoning within the perception process.
Outcome: The proposed model outperforms existing models and domain-specific open-source models in the chemical domain.
Dash-M5H: An Interactive Dashboard for Multi-Modal, Multi-Model Mental Health Assessment (2026.acl-demo)

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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.

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