Papers by Cairui Wang

1 papers
Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment (2025.acl-long)

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Challenge: Current methods for multi-modal entity alignment ignore relative interactions between modalities and the accuracy of weights.
Approach: They propose a relative interaction and calibration framework for multi-modal entity alignment that uses attention mechanisms to perceive the uncertainty of the weight for each modality.
Outcome: The proposed framework outperforms baselines across 5 datasets and 23 settings.

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