SOTAVerified

Code Search

The goal of Code Search is to retrieve code fragments from a large code corpus that most closely match a developer’s intent, which is expressed in natural language.

Source: When Deep Learning Met Code Search

Papers

Showing 91100 of 125 papers

TitleStatusHype
Bag-of-Words Baselines for Semantic Code Search0
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code SearchCode1
Multimodal Representation for Neural Code SearchCode1
Contrastive Learning of Natural Language and Code Representations for Semantic Code Search0
Memorization and Generalization in Neural Code Intelligence ModelsCode0
Clone-Seeker: Effective Code Clone Search Using Annotations0
CoDesc: A Large Code-Description Parallel Dataset0
CoSQA: 20,000+ Web Queries for Code Search and Question AnsweringCode1
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?0
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1cpt-code MOverall93.5Unverified
2cpt-code SOverall93.4Unverified
3CodeT5+ 770MOverall77.4Unverified
4GraphCodeBERTOverall77.4Unverified
5CodeT5+ 220MOverall77.1Unverified
6CodeBERTOverall76Unverified
#ModelMetricClaimedVerifiedStatus
1Self-attentionTest MRR0.84Unverified
2NBOWTest MRR0.81Unverified
3RNNTest MRR0.77Unverified
#ModelMetricClaimedVerifiedStatus
1CodeT5+ 770MMRR44.7Unverified
2CodeT5+ 220MMRR43.3Unverified
3CodeBERTMRR27.19Unverified
#ModelMetricClaimedVerifiedStatus
1Uni-SBTMRR0.36Unverified
#ModelMetricClaimedVerifiedStatus
1CodeBERTAccuracy47.8Unverified
#ModelMetricClaimedVerifiedStatus
1Voyage-code-002nDCG@1056.26Unverified