Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for ...
Abstract: Large language models (LLMs) have become powerful tools for automated code generation. Yet, they remain prone to both syntax and logic errors that limit their effectiveness in real-world ...
Abstract: Adversarial examples contain carefully crafted perturbations that can fool deep neural networks (DNNs) into making wrong predictions. Enhancing the adversarial robustness of DNNs has gained ...
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