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الرئيسية
SOTA
اكتشاف العيوب
Defect Detection On Codexglue Devign
Defect Detection On Codexglue Devign
المقاييس
Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Accuracy
Paper Title
Repository
PLBART + GFSA
62.96
Graph Convolutions Enrich the Self-Attention in Transformers!
-
CodeT5-small + GFSA
63.69
Graph Convolutions Enrich the Self-Attention in Transformers!
-
CodeT5-small
63.25
Graph Convolutions Enrich the Self-Attention in Transformers!
-
RoBERTa + GFSA
64.39
Graph Convolutions Enrich the Self-Attention in Transformers!
-
PLBART
62.63
Graph Convolutions Enrich the Self-Attention in Transformers!
-
CodeT5
65.78
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
-
CodeT5-base
63.51
Graph Convolutions Enrich the Self-Attention in Transformers!
-
CodeBERT + GFSA
64.49
Graph Convolutions Enrich the Self-Attention in Transformers!
-
RoBERTa
62.88
Graph Convolutions Enrich the Self-Attention in Transformers!
-
CodeBERT
64.31
Graph Convolutions Enrich the Self-Attention in Transformers!
-
CodeBERT
62.08
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
-
CodeT5-base + GFSA
64.75
Graph Convolutions Enrich the Self-Attention in Transformers!
-
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Defect Detection On Codexglue Devign | SOTA | HyperAI