Regular Expression

Regular expressions (regex) are concise patterns used to search and manipulate text, with applications ranging from text normalization and data cleaning to natural language processing and code generation. Current research focuses on improving regex efficiency, particularly addressing the "exponential blow-up" problem through novel algorithms and hardware acceleration, as well as integrating regex with machine learning models like neural networks and large language models (LLMs) for tasks such as named entity recognition and bias detection. This combination of established techniques and modern AI approaches enhances the power and applicability of regex in diverse fields, from improving healthcare data analysis to building more robust and explainable AI systems.