Many MongoDB query errors stem from minor issues such as incorrect syntax, mismatched data types, or missing indexes. Maintaining a clean document structure and using accurate field references ...
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: In this article, the disjunctive and conjunctive lattice piecewise affine (PWA) approximations of explicit linear model predictive control (MPC) are proposed. Training data consisting of ...
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 ...