2 papers
cs.SE2026
When Who You Are Can Change the Code You Get: A Study of Persona-Induced Bias in LLM Code Generation
Anubhav Gupta, Mayara Costa Figueiredo, Leticia Santos Machado +4
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 gener…
cs.SE2026
Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation
Alex Deaconu, Anubhav Gupta, Manaal Basha +2
Large Language Models (LLMs) are increasingly integrated into software engineering workflows, helping developers write, debug, test, and maintain code. While prompt wording and str…