Standard deviation distributions of attention matrices in LLMs remain distinctive and stable after continued training, enabling fingerprinting to trace model lineage and detect potential plagiarism such as in Pangu Pro MoE.
arXiv preprint arXiv:2210.01234
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Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model!
Standard deviation distributions of attention matrices in LLMs remain distinctive and stable after continued training, enabling fingerprinting to trace model lineage and detect potential plagiarism such as in Pangu Pro MoE.