Abstract: Autoencoder models of source code are an emerging alternative to autoregressive large language models with important benefits for genetic improvement of software. We hypothesize that encoder ...
Abstract: In an increasingly modern era, machine learning-based technologies offer solutions to everyday problems. Machine learning enables us to build models that process data and train them to ...
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