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

Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

This paper provides a survey of the emerging area of Large Language Models (LLMs) for
Software Engineering (SE). It also sets out open research challenges for the application of …

Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

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

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

The rise of Large Language Models (LLMs) has significantly advanced many applications
on software engineering tasks, particularly in code generation. Despite the promising …

Fuzzing has achieved tremendous success in discovering bugs and vulnerabilities in
various software systems. Systems under test (SUTs) that take in programming or formal …

Recent advancements in large language models (LLMs) have significantly advanced the
automation of software development tasks, including code synthesis, program repair, and …

Testing plays a pivotal role in ensuring software quality, yet conventional Search Based
Software Testing (SBST) methods often struggle with complex software units, achieving …