In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …

CONTEXT: Reusing software by means of copy and paste is a frequent activity in software
development. The duplicated code is known as a software clone and the activity is known as …

Benchmark datasets have a significant impact on accelerating research in programming
language tasks. In this paper, we introduce CodeXGLUE, a benchmark dataset to foster …

Pre-trained models for programming language have achieved dramatic empirical
improvements on a variety of code-related tasks such as code search, code completion …

Exploiting machine learning techniques for analyzing programs has attracted much
attention. One key problem is how to represent code fragments well for follow-up analysis …

The automatic detection of software vulnerabilities is an important research problem.
However, existing solutions to this problem rely on human experts to define features and …

Code clones are semantically similar code fragments pairs that are syntactically similar or
different. Detection of code clones can help to reduce the cost of software maintenance and …

Fine-grained software vulnerability detection is an important and challenging problem.
Ideally, a detection system (or detector) not only should be able to detect whether or not a …

Reverse engineering is a manually intensive but necessary technique for understanding the
inner workings of new malware, finding vulnerabilities in existing systems, and detecting …

Code clone detection is an important problem for software maintenance and evolution. Many
approaches consider either structure or identifiers, but none of the existing detection …