2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
EMNLP 2024main
The rapid scaling of large language models (LLMs) has raised concerns about the transparency and fair use of the data used in their pretraining. Detecting such content is challenging due to the scale of the data and limited exposure of each instance during training. We propose ReCaLL (Relative Condi…