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

Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Large Language Models (LLMs) have shown impressive abilities in code generation. Chain-
of-Thought (CoT) prompting is the state-of-the-art approach to utilizing LLMs. CoT prompting …

Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its
remarkable ability in language understanding and human-like responses. ChatGPT, based …

This paper introduces DevGPT, a dataset curated to explore how software developers
interact with ChatGPT, a prominent large language model (LLM). The dataset encompasses …

Log parsing transforms log messages into structured formats, serving as the prerequisite
step for various log analysis tasks. Although a variety of log parsing approaches have been …

Large Language Models (LLMs) possess impressive capabilities to generate meaningful
code snippets given natural language intents in zero-shot, ie, without the need for specific …

Context: The rapid evolution of Large Language Models (LLMs) has sparked significant
interest in leveraging their capabilities for automating code review processes. Prior studies …

Safety lies at the core of developing and deploying large language models (LLMs).
However, previous safety benchmarks only concern the safety in one language, eg the …

Unit testing plays an essential role in detecting bugs in functionally-discrete program units
(eg, methods). Manually writing high-quality unit tests is time-consuming and laborious …