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Natural attack for pre-trained models of code
Pre-trained models of code have achieved success in many important software engineering
tasks. However, these powerful models are vulnerable to adversarial attacks that slightly …
tasks. However, these powerful models are vulnerable to adversarial attacks that slightly …
Efficient and green large language models for software engineering: Vision and the road ahead
Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid growth of the Large Language Models for …
software engineering tasks, spurring the rapid growth of the Large Language Models for …
Ptm4tag: sharpening tag recommendation of stack overflow posts with pre-trained models
Stack Overflow is often viewed as one of the most influential Software Question & Answer
(SQA) websites, containing millions of programming-related questions and answers. Tags …
(SQA) websites, containing millions of programming-related questions and answers. Tags …
Compressing pre-trained models of code into 3 mb
Although large pre-trained models of code have delivered significant advancements in
various code processing tasks, there is an impediment to the wide and fluent adoption of …
various code processing tasks, there is an impediment to the wide and fluent adoption of …
Greening large language models of code
Large language models of code have shown remarkable effectiveness across various
software engineering tasks. Despite the availability of many cloud services built upon these …
software engineering tasks. Despite the availability of many cloud services built upon these …
Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs
Given the increasing adoption of modern AI-enabled control systems, ensuring their safety
and reliability has become a critical task in software testing. One prevalent approach to …
and reliability has become a critical task in software testing. One prevalent approach to …
VarGAN: Adversarial Learning of Variable Semantic Representations
Variable names are of critical importance in code representation learning. However, due to
diverse naming conventions, variables often receive arbitrary names, leading to long-tail, out …
diverse naming conventions, variables often receive arbitrary names, leading to long-tail, out …
PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models
Stack Overflow is one of the most influential Software Question & Answer (SQA) websites,
hosting millions of programming-related questions and answers. Tags play a critical role in …
hosting millions of programming-related questions and answers. Tags play a critical role in …
Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead
Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid growth of the Large Language Models for …
software engineering tasks, spurring the rapid growth of the Large Language Models for …
[КНИГА][B] Modeling Source Code For Developers
KR Jesse - 2023 - search.proquest.com
Software Engineering practices are changing in an age of artificial intelligence. While the
core activities of design, develop, maintain, test and evaluate remain, the methods used in …
core activities of design, develop, maintain, test and evaluate remain, the methods used in …