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An Empirical Study of Reward Specification and Benchmark Reliability in GRPO-based LLM Unlearning
Practical LLM unlearning is usually evaluated through two objectives: suppress target-specific knowledge and preserve non-target utility. In generative QA, this leaves a third behavior underspecified: when a target-adjacent prompt admits a broader answer without target-specific leakage, the model sh
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