Leak-Resistant unlearning: a new benchmark for evaluating multi-hop reasoning consistency and recovery robustness
Read the original at arxiv.org→arXiv:2608.04519v1 Announce Type: new Abstract: Benchmarking machine unlearning methods is critical to understand whether sensitive knowledge is removed from large language models (LLMs) or not. Current unlearning...
Original headline: "Leak-Resistant Unlearning: A New Benchmark for Evaluating Multi-Hop Reasoning Consistency and Recovery Robustness"
Coverage timeline
- Aug 6, 04:00 UTC arXiv cs.AI lead source Leak-Resistant Unlearning: A New Benchmark for Evaluating Multi-Hop Reasoning Consistency and Recovery Robustness