framework
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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.

  • Six prompt conditions (emptiness, prior relaxation, non-duality, mindfulness, boundless care, contemplative) tested against baseline
  • Technique by which LLMs generate intermediate reasoning steps before final output; used by ChatGPT o3.
  • The specific four-step prompting protocol (induction, continuation, experiential query, classification) used in Experiment 1
  • The mechanism by which one sequence calls upon another, ensuring that linked centers are created, analogous to function calls in arithmetic.
  • Zaadnoordijk and Bayne's category of intentional action; sticker-removal behavior induced by the self-prior corresponds to this
  • Tests whether self-referential induction reliably elicits experience reports across model families vs. three matched controls
  • Method of eliciting specific personas from an LLM through prompt design.
  • Dialogue Promptconcept0.730
    The invisibly prepended text that sets the scene for a dialogue and defines the character the agent will role-play