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RADS-PDD: Reproducibility-aware dynamic similarity-based pre-training data detection against LLMs.
The power-law relationship between large language model (LLM) performance and the scale of pre-training corpora has driven remarkable advances, while raising serious ethical and legal concerns. Pre-training corpora often contain sensitive personal information, copyrighted content, or benchmark test
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