This paper provides a comprehensive review of the literature concerning the utilization of
Natural Language Processing (NLP) techniques, with a particular focus on transformer …

Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

Large language models (LLMs) demonstrate impressive capabilities to generate accurate
code snippets given natural language intents in a zero-shot manner, ie, without the need for …

AI-based code generators are an emerging solution for automatically writing programs
starting from descriptions in natural language, by using deep neural networks (Neural …

Large Language Models (LLMs) have demonstrated remarkable potential in code
generation. The integration of Chain of Thought (CoT) reasoning can further boost their …

Context: Designing effective automatic smart contract comment generation approaches can
facilitate developers' comprehension, boosting smart contract development and improving …

Large Language Models (LLMs) have demonstrated remarkable performance on a wide
range of Natural Language Processing (NLP) tasks, often matching or even beating state-of …

In Stack Overflow, developers may not clarify and summarize the critical problems in the
question titles due to a lack of domain knowledge or poor writing skills. Previous studies …

Just-in-time software defect prediction (JIT-SDP) aims to predict whether a code commit is
defect-inducing or defect-clean immediately after developers submit their code commits. In …

Due to the development of pre-trained language models, automated code generation
techniques have shown great promise in recent years. However, the generated code will not …