computer-code-13
Code Generation
3260 papers • 126 benchmarks • 313 datasets
Code Generation is an important field to predict explicit code or program structure from multimodal data sources such as incomplete code, programs in another programming language, natural language descriptions or execution examples. Code Generation tools can assist the development of automatic programming tools to improve programming productivity. Source: Deep Learning for Source Code Modeling and Generation Image source: Measuring Coding Challenge Competence With APPS
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Benchmarks
These leaderboards are used to track progress in code-generation-27
Trend
Dataset
Best Model
Actions
HumanEval
HumanEval
MBPP
MBPP
CoNaLa
CoNaLa
Libraries
iUse these libraries to find code-generation-27 models and implementations
4 papers 441
