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Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction
Unlearning ensures LLM compliance by removing the influence of private or copyrighted training data. However, since LLM models typically undergo post-training compression, like quantization, in practical deployment, it has been observed that the unlearning effect can be substantially weakened, with
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