1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Neural architectures for resolving references in program code
Gergő Szalay, Gergely Zsolt Kovács, Sándor Teleki +2
Resolving and rewriting references is fundamental in programming languages. Motivated by a real-world decompilation task, we abstract reference rewriting into the problems of direc…
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…
Concept of the abstract program
T. Gregorics
The aim of this paper is to alter the abstract definition of the program of the theoretical programming model which has been developed at Eotvos Lorand University for many years in…