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.
• Calibrated Few-Shot Promptingmethod0.796
  Baseline method: sweeps over shot count and resamples prompts; calibrates threshold for P(TRUE)-P(FALSE); performed surprisingly weakly
• few-shot threshold (k50/θ50)concept0.728
  Shot count needed to reach 50% accuracy; reflects when anchoring strength crosses critical value.
• Few-shot learningconcept0.720
  Test-time adaptation from a small number of examples without parameter updates.
• Contemplative Promptingmethod0.717
  Six prompt conditions (emptiness, prior relaxation, non-duality, mindfulness, boundless care, contemplative) tested against baseline
• Personality Promptingframework0.714
  Established baseline for OCEAN steering via personality-descriptive system prompts; compared against injection methods throughout
• shot midpoint k50concept0.714
  Number of in-context exemplars to reach 50% accuracy in E2.
• Role-play prompting techniquemethod0.714
  Method of eliciting specific personas from an LLM through prompt design.