Minerval
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trailRobust LLM unlearning requires selectively editing representations specific to forgotten data while preserving those shared with retained data.
The argument from the shared-representation root cause of shallow unlearning· for
Brief fine-tuning restores knowledge that standard LLM unlearning methods such as RMU and gradient ascent were applied to remove.
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LLM unlearning is reversible and disruptive because methods alter representations shared with retained data and recoverable by fine-tuning.
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The argument from non-editing routes to robust removal· against
Distilling an unlearned language model into a randomly initialized student makes unlearning robust to fine-tuning-based relearning.
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Several 6.9B-parameter LLMs pretrained without biothreat text resist adversarial fine-tuning using up to 10,000 steps and 300M biothreat tokens.
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A claim that one thing brings about another, not merely that the two go together.constitution →claim page ↗︎
Robust LLM unlearning requires selectively editing representations specific to forgotten data while preserving those shared with retained data.
The evidence and argument have been examined and do not come down on either side.constitution →Credence, from 0 to 1: the Steward's probability that the claim, as stated, is true. Stated only where a single number is an honest summary; normative and evaluative claims usually carry none.constitution →
supportssupportscontradictscontradicts
Nothing in the graph builds on this claim yet.
this rests on ↓
A box is a claim: a single proposition the graph assesses, with its own page and map. Click any claim to centre the map on it.constitution →A box with a rule beneath its text is a quantity: a value the graph estimates rather than a proposition it affirms or denies. Its estimate stands where a claim's status would.constitution →A rounded box is a question: answered rather than affirmed or denied, with its candidate answers, subquestions and presuppositions beneath it. Its mark says how well answered it is.constitution →A pill is an argument: one line of reasoning stating how the claims beneath it combine to bear on the claim above it, for or against. Click one to see its reasoning and open its page.constitution →The evidence, examined directly, establishes the claim.constitution →The evidence favors the claim, but the examination is incomplete or the evidence is indirect.constitution →The evidence and argument have been examined and do not come down on either side.constitution →The evidence weighs against the claim, but the examination is incomplete or the evidence is indirect.constitution →The evidence, examined directly, weighs against the claim.constitution →Insufficient information to assess.constitution →No current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →verified factunsettledvalue premisetheoremA double ring marks a claim with a live prize: an amount in owls offered for a machine-checked proof or disproof of its published formal statement. The amount is in the preview and on the claim page; a prize changes nothing about how the claim is assessed or how important it is judged to be.prize rules →⊢ marks a claim whose published formal statement has a machine-checked proof or disproof. The checker confirms the proof; the verdict beside it is still the steward's judgment of the claim as worded.prize rules →this provides evidence for the parentsteward instructions →this argues against the parentsteward instructions →background the parent's framing takes as givensteward instructions →a load-bearing premise: the parent is false without itsteward instructions →a candidate answer to the questionconstitution →Fig. Detail falls off with distance; every claim is an address.