Calibrated Few-Shot Prompting

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• Many-Shot Promptingmethod0.831
  Technique using 0-20 in-context examples exhibiting a target trait to elicit behavioral shifts, used to validate persona vector monitoring
• Few-shot learningconcept0.819
  Test-time adaptation from a small number of examples without parameter updates.
• k-shot promptingmethod0.796
  Prompting technique where k example pairs are provided as anchors.
• few-shot threshold (k50/θ50)concept0.782
  Shot count needed to reach 50% accuracy; reflects when anchoring strength crosses critical value.
• in-context k-shot promptingmethod0.777
  Use k examples as anchors with no parameter update.
• System prompting and few-shot produce highly similar activations (cosine 0.83-0.92 at safety-critical layers), indicating a shared prompt-side mechanism distinct from activation steering.claim0.775
  Evidence for two representational pathways based on cross-method activation divergence
• Chain-of-thought prompting produced a similar increase in helpful intention of large models as few-shot prompting.finding0.746
  Ablation result from Experiment 3 on chain-of-thought prompting effects.
• Language models are few-shot learners (Brown et al., 2020)concept0.744
  Demonstrated transformers on mathematical understanding and logic; cited to motivate transformer versatility.