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Hefei University of Technology), Hefei University of Technology
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SIRLM significantly boosts the reasoning fidelity of LLMs in Knowledge Graph tasks, outperforming existing methods by tightly coupling structural knowledge with parametric learning.
PTFEA not only outperforms existing methods but also reduces runtime from 21 hours to just 1 hour, making multimodal entity alignment more efficient than ever.
Unbalanced pseudo-seeds in multimodal entity alignment cause models to favor high-density knowledge graph regions, but a new method corrects this imbalance and boosts performance.
