#persona-prompting News & Analysis

3 articles tagged with #persona-prompting. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · May 16/10

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Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior

Researchers have created Cognitive Digital Shadows (CDS), a 190,000-record synthetic dataset of LLM-generated responses on controversial societal topics, designed to measure how language models shift their outputs based on persona prompting and sociodemographic attributes. The dataset enables systematic auditing of LLM bias, alignment, and social sensitivity across 19 different models.

AINeutralarXiv – CS AI · Apr 136/10

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PerMix-RLVR: Preserving Persona Expressivity under Verifiable-Reward Alignment

Researchers introduce PerMix-RLVR, a training method that enables large language models to maintain persona flexibility while preserving task robustness. The approach addresses a fundamental trade-off in reinforcement learning with verifiable rewards, where models become less responsive to persona prompts but gain improved performance on objective tasks.

AINeutralarXiv – CS AI · Mar 35/104

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German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies

Researchers have created GGSS Personas, a comprehensive collection of survey-derived persona prompts based on the German General Social Survey that helps Large Language Models simulate human perspectives more accurately. The collection enables LLMs to generate responses aligned with the German population and outperforms existing classifiers, particularly when training data is limited.