k-shot prompting

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• few-shot promptingmethod0.846
  Providing k labeled examples in the prompt to steer model behavior.
• Many-Shot Promptingmethod0.822
  Technique using 0-20 in-context examples exhibiting a target trait to elicit behavioral shifts, used to validate persona vector monitoring
• Calibrated Few-Shot Promptingmethod0.796
  Baseline method: sweeps over shot count and resamples prompts; calibrates threshold for P(TRUE)-P(FALSE); performed surprisingly weakly
• Direct Promptingmethod0.739
  The baseline prompting method asking for a single response (e.g., 'Tell me a joke about coffee'), which suffers from mode collapse
• Sequence Promptingmethod0.730
  A list-level prompting baseline that asks for k responses in a single call without probability verbalization
• Preventative Promptingmethod0.729
  Alternative to preventative steering: prepending a trait-eliciting system prompt to training samples to cancel out training pressure
• Contrastive Promptingconcept0.728
  Technique for extracting trait directions by contrasting model activations under trait-eliciting vs. trait-suppressing conditions
• few-shot threshold (k50/θ50)concept0.728
  Shot count needed to reach 50% accuracy; reflects when anchoring strength crosses critical value.