Abstract Large Language Models (LLMs) have drawn widespread attention and research
due to their astounding performance in text generation and reasoning tasks. Derivative …

Measuring and evaluating source code similarity is a fundamental software engineering
activity that embraces a broad range of applications, including but not limited to code …

The rise of large language model-based code generation (LLCG) has enabled various
commercial services and APIs. Training LLCG models is often expensive and time …

The advent of large language models (LLMs) has opened up new opportunities for
automated program repair (APR). In particular, some recent studies have explored how to …

Code completion, a highly valuable topic in the software development domain, has been
increasingly promoted for use by recent advances in large language models (LLMs). To …

Large language models (LLMs) have shown promise as automated evaluators for assessing
the quality of answers generated by AI systems. However, these LLM-based evaluators …

JVM testing is one of the most widely-used methodologies for guaranteeing the quality of
JVMs. Among various JVM testing techniques, synthesis-based JVM testing, which …

Code understanding and generation have fast become some of the most popular
applications of language models (LMs). Nonetheless, research on multilingual aspects of …

Code intelligence leverages machine learning techniques to extract knowledge from
extensive code corpora, with the aim of developing intelligent tools to improve the quality …

AC decompiler converts an executable into source code. The recovered C source code,
once re-compiled, is expected to produce an executable with the same functionality as the …