GAP-Gen

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Code GenerationonCodeXGLUE - CodeSearchNet
Python/BLEU· uses extra data· 2022-01-19
22.3
best: 24.43 (Redcoder-ext)
GAP-Gen: Guided Automatic Python Code Generation arXiv:2201.08810
Code GenerationonCodeXGLUE - CodeSearchNet
Python/CodeBLEU· uses extra data· 2022-01-19
24.1
best: 30.21 (Redcoder-ext)
GAP-Gen: Guided Automatic Python Code Generation arXiv:2201.08810