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MPI-SWS, Saarbr眉cken, Germany
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Students using text prompts outperformed their peers using voice input, highlighting the need for careful consideration of input modalities in programming education.
Novice programmers often overlook crucial details in prompts, leading to a reliance on AI that can hinder their debugging skills and understanding of code generation.
Deliberately injecting bugs into GenAI-generated code significantly enhances students' debugging skills and success rates in subsequent attempts.
RLHF and DPO are surprisingly vulnerable to data poisoning, with even a small number of carefully crafted preferences capable of steering the learned policy towards a desired (potentially harmful) target.