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Author

Anubhav Gupta

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2 papers indexed here

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#natural language process... Preprint Aug 2026

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. · 0 citations
Open access Jul 2026

Do influence tactics matter? investigating prompt framing effects in LLM code generation

Large Language Models (LLMs) are increasingly integrated into software engineering workflows, helping developers write, debug, test, and maintain code. While prompt wording and structure are known to influence model performance, the impact of psychologically inspired prompt framings remains unexplored. This study inves...

Alexandrina Deaconu, Anubhav Gupta, Manaal Basha et al. · 0 citations

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