Papers by Bofan Wei

2 papers
DTDES-KGE: Dual-Teacher Knowledge Distillation with Distinct Embedding Spaces for Knowledge Graph Embeddings (2025.findings-emnlp)

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Challenge: Existing knowledge distillation methods rely on a single teacher embedding space . existing methods overlook valuable complementary knowledge from teachers in distinct embeddable spaces.
Approach: They propose a knowledge distillation framework that leverages dual teachers in embedding spaces to enhance performance.
Outcome: The proposed framework significantly improves knowledge distillation performance by leveraging dual teachers in distinct embedding spaces.
Bridging the Sensory Gap: Visual Injection for Taxonomy Completion (2026.acl-long)

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Challenge: Existing text-only methods suffer from a "Sensory Gap" in integrating new concepts into existing hierarchies.
Approach: They propose a framework leveraging Visual Injection for Taxonomy Completion that maps synthesized images into intrinsic pseudo-tokens and decouples magnitude from selection to prevent visual signals from being drowned out.
Outcome: Experiments on three datasets show that VITC achieves state-of-the-art performance . it delivers an average absolute gain of over 19% in Hit@1.

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