routed-on-policy-distillation-safety-task-teachers TEC-0065 · proposedRouted on-policy distillation from safety and task teachers
Sample from the compromised student, route each token to either the original aligned model (refusal prior) or the fine-tuned task model, and train the student with a top-K KL loss toward the routed teacher, so realignment targets the distri
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
Sample from the compromised student, route each token to either the original aligned model (refusal prior) or the fine-tuned task model, and train the student with a top-K KL loss toward the routed teacher, so realignment targets the distri Filed by the drafting stage from On-Policy Distillation for LLM Safety: A Routing Approach to Template-Robust Realignment (2607.27081) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Attack success rate and task score across three bases and three tasks under matched and mismatched attacker/defender templates against four realignment baselines; system-prompt re-jailbreak test.. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.
No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.
Code
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Sources
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