On the Impact of Anonymization on the Performance of Large Language Models

Tobias Deußer, Max Hahnbück, Lorenz Sparrenberg +3

As large language models are increasingly deployed in sensitive domains, anonymizing input data to protect personally identifiable information has become a critical practice. Howev…