Making LLMs Truly Forget: Deep Unlearning by Searching, Selecting, and Severing Knowledge Paths

While an unlearned language model may no longer recall a fact directly, the fact often remains recoverable through multi-hop reasoning over related knowledge. Most existing unlearning techniques overlook this vulnerability, targeting facts in isolation while leaving their supporting knowledge intact