arxiv
PublishedMay 28, 2026 at 4:00 AM
—neutral
Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
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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Originally published on arxiv ↗