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Code Documentation Generation On 5
Metrics
Smoothed BLEU-4
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Transformer | 25.61 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | |
| CodeTrans-TF-Large | 18.98 | CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing | |
| CodeBERT (MLM+RTD) | 9.54 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | |
| CodeBERT (RTD) | 8.73 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | |
| CodeBERT (MLM) | 8.51 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | |
| pre-train w/ code only | 8.3 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | |
| seq2seq | 6.88 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages | |
| RoBERTa | 5.72 | CodeBERT: A Pre-Trained Model for Programming and Natural Languages |
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