Calibrating post-training feature shifts for LLM data contamination detection
Read the original at arxiv.org→arXiv:2608.10462v1 Announce Type: new Abstract: Large language models (LLMs) are trained on massive and largely undisclosed corpora that may contain copyrighted or privacy-sensitive content. Data contamination...
Original headline: "Calibrating Post-Training Feature Shifts for LLM Data Contamination Detection"
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- Aug 12, 04:00 UTC arXiv cs.CL lead source Calibrating Post-Training Feature Shifts for LLM Data Contamination Detection