New Benchmark Shows LLM Unlearning Fails on Multi‑Hop Reasoning
A fresh benchmark evaluates whether LLMs truly forget data by probing multi‑hop reasoning chains and lightweight recovery attacks. Tests on three models, six unlearning methods, and two datasets reveal that current techniques let sensitive knowledge slip through compositional queries. The findings raise red flags for privacy‑focused LLM deployments.