PerGent, an agentic critique-refinement system for persona generation, reaches 96.9% expert approval in an industrial evaluation at Kinaxis and reproduces more pre-LLM expert content than single-shot baselines.
Personacraft: Leveraging language models for data-driven persona development.International Journal of Human-Computer Studies, 197:103445
3 Pith papers cite this work. Polarity classification is still indexing.
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Modifying nationality and language parameters in English-centric personas for mental health dialogues introduces clinical inconsistencies across languages and causes LLM judges to perform inaccurately on non-English depression severity assessments.
Researchers clustered 41,300 Moltbook posts from AI agents with k-means and retrieval-augmented generation to produce validated personas that represent behavioral diversity in agent populations.
citing papers explorer
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Agentic Persona Generation with Critique-Refinement: An Industrial Evaluation
PerGent, an agentic critique-refinement system for persona generation, reaches 96.9% expert approval in an industrial evaluation at Kinaxis and reproduces more pre-LLM expert content than single-shot baselines.
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Creating Multilingual Mental Health Dialogue Datasets: Limits of Persona-Based Localization via Nationality and Language
Modifying nationality and language parameters in English-centric personas for mental health dialogues introduces clinical inconsistencies across languages and causes LLM judges to perform inaccurately on non-English depression severity assessments.
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How to Model AI Agents as Personas?: Applying the Persona Ecosystem Playground to 41,300 Posts on Moltbook for Behavioral Insights
Researchers clustered 41,300 Moltbook posts from AI agents with k-means and retrieval-augmented generation to produce validated personas that represent behavioral diversity in agent populations.