Because it suggests that our mental representation of language includes things grammar theory has been ignoring for decades.

Abstract: We propose Patcherizer, a novel patch representation methodology that combines context and structure intention features to capture the semantic changes in Abstract Syntax Trees (ASTs) and ...

Overview: LLMs help developers identify and fix complex code issues faster by automatically understanding the full project ...

Abstract: Over the past decade, the application of deep learning in code clone detection has produced remarkable results. However, the current approaches have two limitations: (a) code representation ...

Apiiro’s growth was fueled by rapid Fortune 500 adoption of AI-driven coding tools, expanding software attack surfaces and associated risk, combined with unique product innovations ...