Agentic Persona Generation with Critique-Refinement: An
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Agentic Persona Generation with Critique-Refinement: An Industrial Evaluation
arXiv:2606.09637v1 Announce Type: new Abstract: Personas are widely used in software engineering to support requirements elicitation, design, and validation, but their manual creation is costly, time-consuming, and hard to scale. Recent LLM-based approaches automate persona generation from textual data; however, they typically rely on single-shot generation and subjective evaluations, limiting practical reliability. We present PerGent, an industry-grade method for persona generation built...