Large language models are commonly trained on a mixture of filtered web data and
curated``high-quality''corpora, such as social media conversations, books, or technical …

Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …

A code summary is a brief natural language description of source code. Summaries are
usually only a single sentence long, and yet form the backbone of developer documentation …

To support software developers in understanding and maintaining programs, various
automatic (source) code summarization techniques have been proposed to generate a …

Neural Code Intelligence--leveraging deep learning to understand, generate, and optimize
code--holds immense potential for transformative impacts on the whole society. Bridging the …

Various techniques have been proposed to leverage the capabilities of code language
models (CLMs) for SE tasks. While these techniques typically evaluate their effectiveness …

Large Language Models (LLMs) have demonstrated great potential for code generation and
other software engineering tasks. Vulnerability detection is of crucial importance to …

The impressive performance of large language models (LLMs) on code-related tasks has
shown the potential of fully automated software development. In light of this, we introduce a …

Tabular data analysis is crucial in various fields, and large language models show promise
in this area. However, current research mostly focuses on rudimentary tasks like Text2SQL …

GitHub workflows or GitHub CI is a popular continuous integration platform that enables
developers to automate various software engineering tasks by specifying them as workflows …