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News/Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning
arxiv
PublishedMay 7, 2026 at 4:00 AM
—neutral

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2605.00364v2 Announce Type: replace Abstract: Machine unlearning has emerged as a critical capability for addressing privacy, safety, and regulatory concerns in large language models (LLMs). Existing methods operate at the sequence level, applying uniform updates across all tokens despite only

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#machine-unlearning#language-models#privacy#safety

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Mentioned models
03
  • 01
    LLMs
  • 02
    TOFU
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    WMDP
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#machine-unlearning#language-models#privacy#safety

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