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Hangzhou Dianzi University
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Knowledge distillation can now harness the power of multi-modal models and model snapshots, achieving top-tier segmentation performance without the typical computational overhead.
Achieving superior accuracy in historical data extraction, this BERT-GNN framework outperforms traditional methods, revealing the potential of advanced AI techniques in digital humanities.
LLMs aren't monolithic black boxes: they contain spatially organized, functionally specialized modules that can be automatically discovered.