Prompting Science Report 4: Playing Pretend: Expert Personas Don't Improve Factual Accuracy
Published:Dec 5, 2025 16:35
•1 min read
•ArXiv
Analysis
This article reports on research that examines the impact of using expert personas in prompts for Large Language Models (LLMs) on factual accuracy. The findings suggest that adopting such personas does not lead to improved accuracy. This is a significant finding for those using LLMs for information retrieval and generation, as it challenges the common assumption that framing prompts in this way is beneficial.
Key Takeaways
- •Expert personas in prompts do not improve factual accuracy in LLMs.
- •This challenges the common assumption that using expert personas is beneficial.
- •The research is relevant to those using LLMs for information retrieval and generation.
Reference
“The study's findings indicate that using expert personas in prompts does not improve factual accuracy.”