Tag
The paper identifies a blind spot in machine unlearning benchmarks: underrepresentation of causal (Why-type) knowledge, and proposes 5WBench, a balanced benchmark, and Maat, a three-phase unlearning framework on LoRA adapters that achieves high forgetting and retention on causal facts.