Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs
This work proposes Forgetting Only What Matters via Unlearning Layers (FOM-UL), a layer-level unlearning framework that selects transformer layers using a forget-to-retain significance score and provides an empirical path toward quantization-resilient unlearning.
Ravi Ranjan, O. Kotevska, Agoritsa Polyzou
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