Too Hot To Handle: The Effects of Temperature on AI-Generated Code Used to Cheat in Programming Assignments
Robin Maisch, Timur Sağlam, Larissa Schmid, Sebastian Hahner, Tobias Hey · 2026
In light of the rapid evolution of generative artificial intelligence, automatic code generation constitutes a novel cheating strategy for university programming courses. Varying the temperature parameter of LLMs, we generate nearly 10,000 programs for four programming tasks and present a comprehensive evaluation of their suitability for submission to mandatory assignments.