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entity contrastive learning

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AntTech
AntTech
Feb 27, 2025 · Artificial Intelligence

Entity Contrastive Learning via Multi-Token Parallel Prediction for Knowledge Graph Completion

Researchers from Ant Group and Zhejiang University propose K-ON, a multi-token parallel prediction method that enables large language models to perceive knowledge graph entities through entity-level contrastive learning, achieving superior performance, lower cost, and higher efficiency on KG completion benchmarks.

AI researchK-ONKnowledge Graph
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Entity Contrastive Learning via Multi-Token Parallel Prediction for Knowledge Graph Completion