Natural Language Code Search on CodeSearchNet filtered and expanded (test)
0.703MRR (Ruby)GraphCodeBERT
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| GraphCodeBERT2020.09 | 0.703 | 0.644 | 0.897 | 0.692 | 0.691 | 0.649 | 0.713 | |
| CodeBERT2020.09 | 0.679 | 0.62 | 0.882 | 0.672 | 0.676 | 0.628 | 0.693 | |
| RoBERTa (code)Pre-training corpus=code2020.09 | 0.628 | 0.562 | 0.859 | 0.61 | 0.62 | 0.579 | 0.643 | |
| RoBERTaPre-training corpus=text2020.09 | 0.587 | 0.517 | 0.85 | 0.587 | 0.599 | 0.56 | 0.617 | |
| CNN2020.09 | 0.276 | 0.224 | 0.68 | 0.242 | 0.263 | 0.26 | 0.324 | |
| selfAtt2020.09 | 0.275 | 0.287 | 0.723 | 0.398 | 0.404 | 0.426 | 0.419 | |
| BiRNN2020.09 | 0.213 | 0.193 | 0.688 | 0.29 | 0.304 | 0.338 | 0.338 | |
| NBow2020.09 | 0.162 | 0.157 | 0.33 | 0.161 | 0.171 | 0.152 | 0.189 |