Papers by Suxia Zhu

1 papers
MPBoCo: Multimodal Prompt-based Boundary-enhanced Continual Framework for Joint Entity and Relation Extraction (2026.acl-long)

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Challenge: Existing methods struggle to balance real-time adaptability and computational efficiency in continual learning scenarios.
Approach: They propose a Continual Multimodal Entity and Relation Joint Extraction task and a Multimodal Prompt-based Boundary-enhanced Continuum framework that stores task-specific knowledge via learnable multimodal prompts.
Outcome: The proposed framework outperforms baseline methods in real-world scenarios by 5.5% and 7.2%.

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