24 citations · 35 across the 7 of their papers we have counts for
7 papers
Do You Trust ChatGPT? -- Perceived Credibility of Human and AI-Generated Content
Martin Huschens, Martin Briesch, Dominik Sobania +1
This paper examines how individuals perceive the credibility of content originating from human authors versus content generated by large language models, like the GPT language mode…
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems
Alina Geiger, Dominik Sobania, Franz Rothlauf
Epsilon-lexicase selection is a parent selection method in genetic programming that has been successfully applied to symbolic regression problems. Recently, the combination of rand…
MTGP: Combining Metamorphic Testing and Genetic Programming
Dominik Sobania, Martin Briesch, Philipp Röchner +1
Genetic programming is an evolutionary approach known for its performance in program synthesis. However, it is not yet mature enough for a practical use in real-world software deve…
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving
Ryan Boldi, Martin Briesch, Dominik Sobania +5
Genetic Programming (GP) often uses large training sets and requires all individuals to be evaluated on all training cases during selection. Random down-sampled lexicase selection…
Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming
Dominik Sobania, Martin Briesch, Franz Rothlauf
GitHub Copilot, an extension for the Visual Studio Code development environment powered by the large-scale language model Codex, makes automatic program synthesis available for sof…
Recent Developments in Program Synthesis with Evolutionary Algorithms
Dominik Sobania, Dirk Schweim, Franz Rothlauf
The automatic generation of computer programs is one of the main applications with practical relevance in the field of evolutionary computation. With program synthesis techniques n…