When Who You Are Can Change the Code You Get: A Study of Persona-Induced Bias in LLM Code Generation
Large Language Models (LLMs) are widely used as programming assistants, yet it remains unclear whether and how user's demographic information impacts the technical quality of generated code. We conduct a large-scale empirical study of persona-induced bias in LLM-based code generation, focusing a proprietary model (Gemi...
Anubhav Gupta, M. Figueiredo, L. Machado et al.
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