A research paper proposing a technique to improve privacy reasoning in large language models by training them with fictional narratives and character-based scenarios. The method uses "normative simulacra"—narrative frameworks from fiction—to teach LLMs to reason more carefully about privacy-sensitive decisions.
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Reinforcing privacy reasoning in LLMs via normative simulacra from fiction
Researchers propose training LLMs with fictional narrative scenarios to improve their privacy reasoning, using "normative simulacra" from fiction as a behavioral guide for handling sensitive information.
Friday, April 24, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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