The advancement of natural language processing (NLP) has been significantly boosted by
the development of transformer-based large language models (LLMs). These models have …

Software debugging is a time-consuming endeavor involving a series of steps, such as fault
localization and patch generation, each requiring thorough analysis and a deep …

This study provides a comparative analysis of state-of-the-art large language models
(LLMs), analyzing how likely they generate vulnerabilities when writing simple C programs …

Code generation leverages artificial intelligence technologies, particularly Large Language
Models (LLMs), to automatically produce source code, enhancing software development …

Chain-of-Thought (CoT) has been a widely adopted prompting method, eliciting impressive
reasoning abilities of Large Language Models (LLMs). Inspired by the sequential thought …

This study compares state-of-the-art Large Language Models (LLMs) on their tendency to
generate vulnerabilities when writing C programs using a neutral zero-shot prompt. Tihanyi …

Code generation with Large Language Models (LLMs) has been extensively studied and
achieved remarkable progress. As a complementary aspect to code generation, test case …

Large Language Models (LLMs) have demonstrated impressive abilities in recent years with
regards to code generation and understanding. However, little work has investigated how …

Computational notebooks became indispensable tools for research-related development,
offering unprecedented interactivity and flexibility in the development process. However …