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GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
Unlearning large language models (LLMs) is important due to copyright and privacy concerns. A key challenge is unintended forgetting, where removing data inadvertently impairs model utility. While prior work has focused on architectural innovations, the influence of data-level factors remains undere
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