framework
active
framework:personality-promptingPersonality Prompting
Established baseline for OCEAN steering via personality-descriptive system prompts; compared against injection methods throughout
Neighborhood — ranked by edge-count
Papers (1)
paper
Thinkers (1)
thinker
- Guangyuan JiangintroducesIntroduced MPI-120/MPI-1k and Personality Prompting (P2) baseline
Methods (1)
method
- PM Hybrid MethodusesHybrid method combining Personality Prompting (P2) with MDS injections; best overall steering method
Findings (1)
finding
- Qualitative finding demonstrating unique capability of activation-level interventions unavailable to prompting methods including PM
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities 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.
- The invisibly prepended text that sets the scene for a dialogue and defines the character the agent will role-play