Method Name Prediction on CSN (test)
0.9558ASRSTAB
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| STABModel=CodeT5, Surrogate Dataset=CSN2026.02 | 0.9558 | 0.5051 | |
| STABModel=CodeT5, Surrogate Dataset=PyT2026.02 | 0.9512 | 0.5051 | |
| STABModel=PLBART, Surrogate Dataset=CSN2026.02 | 0.9482 | 0.4499 | |
| STABModel=CodeT5, Surrogate Dataset=Py1502026.02 | 0.9469 | 0.5051 | |
| AFRAIDOORModel=PLBART, Surrogate Dataset=CSN2026.02 | 0.9464 | 0.4501 | |
| STABModel=PLBART, Surrogate Dataset=PyT2026.02 | 0.9446 | 0.4499 | |
| STABModel=PLBART, Surrogate Dataset=Py1502026.02 | 0.9438 | 0.4499 | |
| AFRAIDOORModel=CodeT5, Surrogate Dataset=CSN2026.02 | 0.9431 | 0.5042 | |
| AFRAIDOORModel=PLBART, Surrogate Dataset=PyT2026.02 | 0.913 | 0.4501 | |
| AFRAIDOORModel=CodeT5, Surrogate Dataset=PyT2026.02 | 0.9038 | 0.5042 | |
| AFRAIDOORModel=PLBART, Surrogate Dataset=Py1502026.02 | 0.8623 | 0.4501 | |
| AFRAIDOORModel=CodeT5, Surrogate Dataset=Py1502026.02 | 0.8571 | 0.5042 |