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Found 3 papers, 1 papers with code
Assemble Foundation Models for Automatic Code Summarization
Thereby, we propose a flexible and robust approach for automatic code summarization, based on neural models.
Ranked #1 on
Source Code Summarization
on ParallelCorpus-Python
An Approach for Parallel Genetic Algorithms in the Cloud using Software Containers
Genetic Algorithms (GAs) are a powerful technique to address hard optimisation problems.
A Framework for Genetic Algorithms Based on Hadoop
The main purpose of this framework is to allow the user to focus on the aspects of GA that are specific to the problem to be addressed, being sure that this task is going to be correctly executed on the Cloud with a good performance.
