framework
active
framework:personality-prompting

Personality Prompting

Established baseline for OCEAN steering via personality-descriptive system prompts; compared against injection methods throughout

Neighborhood — ranked by edge-count

Thinkers (1)

thinker
  • Guangyuan Jiang
    introduces
    Introduced MPI-120/MPI-1k and Personality Prompting (P2) baseline

Methods (1)

method
  • Hybrid method combining Personality Prompting (P2) with MDS injections; best overall steering method

Findings (1)

finding

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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

  • Technique for extracting trait directions by contrasting model activations under trait-eliciting vs. trait-suppressing conditions
  • Direct Promptingmethod0.804
    The baseline prompting method asking for a single response (e.g., 'Tell me a joke about coffee'), which suffers from mode collapse
  • Six prompt conditions (emptiness, prior relaxation, non-duality, mindfulness, boundless care, contemplative) tested against baseline
  • A list-level prompting baseline that asks for k responses in a single call without probability verbalization
  • Alternative to preventative steering: prepending a trait-eliciting system prompt to training samples to cancel out training pressure
  • CoT Promptingmethod0.765
    Chain-of-thought prompting baseline used for comparison in creative writing and other tasks
  • The process of customizing LLM behavior by assigning personality traits through prompts, exemplars, or representation-level intervention
  • Imbuing method that prepends a ~50-word personality description as the system message