Cognitive Enhancement: Rethinking the Necessity of Role-Playing for Large Language Models

arXiv:2609.39853 · cs.CL · Submitted 2026-09-30 · Read on arXiv

cs.CL

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/XMUDeepLIT/RethinkingRolePlay

Terminology

• Benchmark — 28× in this paper · explained in 2 episodes
• Alignment — 17× in this paper · explained in 1 episode
• Large Language Models — 10× in this paper
• Accuracy — 5× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Core — 5× in this paper · explained in 2 episodes
• Self-consistency — 5× in this paper · explained in 2 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Robustness — 3× in this paper · explained in 5 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• Hallucination — 2× in this paper · explained in 4 episodes
• Metacognition — 2× in this paper · explained in 5 episodes
• Mixed-Language Concatenate Prediction — 2× in this paper
• Multi-agent Collaboration — 2× in this paper · explained in 2 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Mixed-Language Voting Prediction — 1× in this paper
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Persona Prompting — 1× in this paper · explained in 2 episodes
• Single-Language Concatenate Prediction — 1× in this paper
• Steering — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Evaluating Large Language Models in a Complex Hidden Role Game
• Measuring Massive Multitask Language Understanding
• Persona is a Double-edged Sword: Mitigating the Negative Impact of Role-playing Prompts in Zero-shot Reasoning Tasks
• Meta-Harness: End-to-End Optimization of Model Harnesses
• Prompt Repetition Improves Non-Reasoning LLMs
• Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation
• Talk Less, Call Right: Enhancing Role-Play LLM Agents with Automatic Prompt Optimization and Role Prompting
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline
• AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-Playing

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