TUM, Google, Nvidia & LMU München’s CodeTrans Pretrained Models Crack Source Code Tasks With SOTA Performance | Synced
A research team from Technical University of Munich, Google, Nvidia and LMU München proposes CodeTrans, an encoder-decoder transformer model which achieves state-of-the-art performance on six tasks...
Source: Synced | AI Technology & Industry Review
A research team from Technical University of Munich, Google, Nvidia and LMU München proposes CodeTrans, an encoder-decoder transformer model which achieves state-of-the-art performance on six tasks in the software engineering domain, including Code Documentation Generation, Source Code Summarization, Code Comment Generation, etc.
