RECAP: Reproducing Copyrighted Data from LLMs Training with an Agentic Pipeline

André V. Duarte, Xuying li, Bin Zeng +3

If we cannot inspect the training data of a large language model (LLM), how can we ever know what it has seen? We believe the most compelling evidence arises when the model itself…