
Unlearning Mirage: Dynamic LLM Evaluation Framework
Researchers propose the Unlearning Mirage framework to stress-test LLM unlearning robustness using dynamic, complex structured queries like multi-hop chains. It generates targeted probes from pre-unlearning knowledge, exposing vulnerabilities missed by static benchmarks. The framework is open-sourced with a pip package for scalable evaluation.








