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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 125 papers

TitleStatusHype
CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search—0
CoDesc: A Large Code-Description Parallel Dataset—0
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance—0
Contrastive Learning of Natural Language and Code Representations for Semantic Code Search—0
Contrastive Prompt Learning-based Code Search based on Interaction Matrix—0
COSEA: Convolutional Code Search with Layer-wise Attention—0
Crowd Sourced Data Analysis: Mapping of Programming Concepts to Syntactical Patterns—0
CSSAM:Code Search via Attention Matching of Code Semantics and Structures—0
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning—0
DeepRTL2: A Versatile Model for RTL-Related Tasks—0
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All datasetsCodeSearchNetCoDescCodeXGLUE - AdvTestCodeSearchNet - RubyCodeXGLUE - WebQueryTestCoIR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1cpt-code MOverall93.5—Unverified
2cpt-code SOverall93.4—Unverified
3CodeT5+ 770MOverall77.4—Unverified
4GraphCodeBERTOverall77.4—Unverified
5CodeT5+ 220MOverall77.1—Unverified
6CodeBERTOverall76—Unverified
#ModelMetricClaimedVerifiedStatus
1Self-attentionTest MRR0.84—Unverified
2NBOWTest MRR0.81—Unverified
3RNNTest MRR0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeT5+ 770MMRR44.7—Unverified
2CodeT5+ 220MMRR43.3—Unverified
3CodeBERTMRR27.19—Unverified
#ModelMetricClaimedVerifiedStatus
1Uni-SBTMRR0.36—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeBERTAccuracy47.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Voyage-code-002nDCG@1056.26—Unverified