2 papers
cs.SE2026
Diff-Based Code Corruption using LLMs for Large-Scale Bugfix Benchmarking
Balázs Szalontai, Ábel Szauter, Balázs Márton +3
There are various benchmarks to evaluate bugfixing capabilities of Large Language Models. However, most widespread benchmarks do not fully reflect real-world bugfixing practices. T…
cs.AI2024
Large Language Models for Code Summarization
Balázs Szalontai, Gergő Szalay, Tamás Márton +3
Recently, there has been increasing activity in using deep learning for software engineering, including tasks like code generation and summarization. In particular, the most recent…