On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models

Neural Information Processing Systems 

Deep learning models are emerging to summarize source code to comment for code documentation and program comprehension. We can achieve good performance by training the model on large training corpus.

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