In question-answering scenarios, humans can assess whether the available information is sufficient and seek additional information if necessary, rather than providing a forced answer.

The dual nature of these systems naturally influences both users and creators: users' preferences are

Instead of relying on the LLM itself to unlearn, we enforce an unlearned state during inference by employing a prompt classifier to identify and safeguard prompts to forget.

This paper focuses on the methods that explain what neurons learn during the training process.