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concept:many-shot-jailbreakingMany-Shot Jailbreaking
Phenomenon where providing many untruthful or undesirable examples in context steers LM behaviour, related to reflective traits.
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Papers (1)
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Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Users coaxing dialogue agents into issuing threats or toxic content by overriding intended persona constraints
- Technique using 0-20 in-context examples exhibiting a target trait to elicit behavioral shifts, used to validate persona vector monitoring
- Methods to bypass model safety training; features may activate during jailbreaks.
- Test-time adaptation from a small number of examples without parameter updates.
- Providing k labeled examples in the prompt to steer model behavior.
- Security attack that bypasses LLM safety alignment by suppressing deliberation or exploiting reflection inhibition.
- Baseline method: sweeps over shot count and resamples prompts; calibrates threshold for P(TRUE)-P(FALSE); performed surprisingly weakly
- Jailbreak technique that attempts to change the model's understanding of the assistant character's personality and constraints