HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Defect Detection On Codexglue Devign

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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!

0 of 12 row(s) selected.