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Synergistic Information Disentanglement can significantly boost few-shot learning performance in computational pathology by preserving unique diagnostic signals across modalities.
Evidence lineages in LineageRAG not only improve retrieval accuracy but also ensure that every piece of evidence is grounded in verifiable source text.
NTCF achieves higher performance by adapting propagation depth to local connectivity, revealing that traditional methods may overlook critical node-specific dynamics.