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National Taiwan University
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TGCM outperforms existing methods by effectively disentangling overlapping APT campaigns, achieving robust separation even in complex interleaved scenarios.
Forget retraining LLMs from scratch for new architectures: PromptEmbedder lets you adapt to new backbones by only retraining a lightweight linear alignment matrix, slashing memory by 40% and speeding up training by 3.7x.
