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Calibrating Post-Training Feature Shifts for LLM Data Contamination Detection
新研究提出CalibDCD方法，校准LLM后训练特征偏移，显著提升数据污染检测表现，值得关注。
arXiv:2608.10462v1 Announce Type: new Abstract: Large language models (LLMs) are trained on massive and largely undisclosed corpora that may contain c…