Source code

Web-based AI system integrating code execution, error detection, and AI explanations across multiple languages to improve programmer comprehension and debugging efficiency

FLAT uses context-free grammars as type definitions to distinguish semantically different string encodings, enabling type-safe handling of URLs, file paths, and other structured data.

Study integrating LLMs with interactive visual aids for code comprehension, evaluating improved understanding and user trust through multimodal interaction design.

Learn how retrieval augmentation and structural priors enhance parameter-efficient code representations while using only 5% of standard fine-tuning parameters.