CodeRL+CodeT5
Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing3 results
- Competition Pass@1· 2022-07-05SOTA33.3best: 34.8 (LPW (GPT-4o))
- Interview Pass@1· 2022-07-05SOTA13.5best: 65.2 (LPW (GPT-4o))
- Introductory Pass@1· 2022-07-05SOTA20best: 87.2 (LPW (GPT-4o))