AINeutralarXiv – CS AI · 6h ago6/10
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Staying In Character: Perspective-Bounded Memory For Book-Based Role-Playing Agents
Researchers introduce REVERIEMEM, a three-layer memory architecture that enables large language model-based character agents to maintain perspective-bounded knowledge and distinct personalities when roleplaying in book-based narratives. The system addresses key limitations in current LLM roleplay systems by preventing characters from accessing facts outside their perspective and eliminating flattened, monotonous characterization.