Swapped operands
1 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Learning and Evaluating Contextual Embedding of Source Code
We fine-tune CuBERT on our benchmark tasks, and compare the resulting models to different variants of Word2Vec token embeddings, BiLSTM and Transformer models, as well as published state-of-the-art models, showing that CuBERT outperforms them all, even with shorter training, and with fewer labeled examples.