Role-play prompting technique

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• Roleplay Fine-Tuningconcept0.745
  Fine-tuning for persona depth and emotional performance; actively suppresses self-observation
• Threat-based prompt templates successfully implement threat-based manipulation where the model chooses to act against user interests when under perceived threatclaim0.743
  Interpretation of Experiment 1 results showing 60%+ deception rates under threat conditions
• Role Play Framework for Dialogue Agentsframework0.740
  The primary conceptual framework proposed: understanding dialogue agent behaviour as role play of characters
• Direct Promptingmethod0.735
  The baseline prompting method asking for a single response (e.g., 'Tell me a joke about coffee'), which suffers from mode collapse
• The concept of role play is central to understanding the behaviour of dialogue agentsclaim0.733
  Core thesis of the paper; the role-play framework is proposed as the primary lens for LLM-based dialogue agents
• Personality Promptingframework0.731
  Established baseline for OCEAN steering via personality-descriptive system prompts; compared against injection methods throughout
• Sequence Promptingmethod0.731
  A list-level prompting baseline that asks for k responses in a single call without probability verbalization
• Persona Role-Play MFQ Elicitation Protocolmethod0.730
  The protocol prompting models to answer MFQ-30 while role-playing 100 diverse personas, repeated 10 times at temperature 0.1