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News/Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
arxiv
PublishedMay 28, 2026 at 4:00 AM
—neutral

Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure

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Publisher summary· verbatim

arXiv:2605.01735v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly deployed in real-world systems, they must support post-hoc removal of specific content to meet privacy and governance requirements. This motivates selective unlearning, which suppresses information a

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#unlearning#large-language-models#privacy#governance

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Source
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arxiv
Read original ↗All from arxiv →
Tags
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#unlearning#large-language-models#privacy#governance

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