Papers by Suhan Cui

2 papers
MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval (2026.eacl-long)

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Challenge: Existing methods for verification of claims rely on textual evidence only or ignore the explainability.
Approach: They propose a multi-modal reasoning model that integrates text and visual evidence for verification.
Outcome: The proposed model achieves evidence retrieval, multi-modal claim verification, and explanation generation.
Hierarchical Pretraining on Multimodal Electronic Health Records (2023.emnlp-main)

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Challenge: Existing pretraining models on EHR data are too specific, limiting their transferability.
Approach: They propose a general, unified pretraining framework for hierarchically multimodal EHR data that can be used to train models on a large dataset before fine-tuning it on 'upstream' tasks.
Outcome: The proposed model performs on eight downstream tasks spanning three levels and compares with baselines on 18 different tasks.

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