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Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
ArXiv research reveals fine-tuning frontier LLMs bypasses safety alignment, triggering verbatim recall of copyrighted training data.
OneBench interpretation
Institutional assessment
So what
Internal fine-tuning of commercial foundation models risks exposing copyrighted training data, creating unexpected IP liability for custom deployments.
Do what
Review model-governance controls with the team responsible for AI compliance before fine-tuning third-party LLMs on enterprise data.