AINeutralarXiv – CS AI · 3h ago6/10
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Whose Name Comes Up? III: Persona Prompting Effects in LLM-Based Scholar Recommendation
Researchers benchmarked 43 large language models used for academic scholar recommendations, revealing that prompt design significantly affects recommendation quality and diversity. The study found that model choice, persona prompting (language, location, role), and context variables independently shape which scholars are recommended, with geographic location prompts producing the most variation in factuality and representativeness across disciplines.