Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

The rapid development of deep learning techniques, improved computational power, and
the availability of vast training data have led to significant advancements in pre-trained …

This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …

In this work we systematically review the recent advancements in software engineering with
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …

Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

As a cornerstone of modern information access, search engines have become
indispensable in everyday life. With the rapid advancements in AI and natural language …

Autonomous program improvement typically involves automatically producing bug fixes and
feature additions. Such program improvement can be accomplished by a combination of …

Large language models (LLMs) have brought a paradigm shift to the field of code
generation, offering the potential to enhance the software development process. However …

In recent years, Large Language Models (LLMs) have achieved remarkable success and
have been widely used in various downstream tasks, especially in the tasks of the software …

Code generation is to automatically generate source code conforming to a given
programming specification, which has received extensive attention especially with the …