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 76–100 of 125 papers

TitleStatusHype
CodeT5+: Open Code Large Language Models for Code Understanding and GenerationCode0
Code Execution with Pre-trained Language ModelsCode0
REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search ModelsCode0
Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation—0
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities—0
You Don't Know Search: Helping Users Find Code by Automatically Evaluating Alternative Queries—0
Global Contrastive Batch Sampling via Optimization on Sample PermutationsCode0
CodeDSI: Differentiable Code Search—0
CSSAM:Code Search via Attention Matching of Code Semantics and Structures—0
NS3: Neuro-Symbolic Semantic Code SearchCode0
CoCoSoDa: Effective Contrastive Learning for Code Search—0
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages—0
Accelerating Code Search with Deep Hashing and Code Classification—0
What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source CodeCode0
CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code SearchCode0
Generating Clarifying Questions for Query Refinement in Source Code SearchCode0
AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees—0
Analyzing CodeBERT's Performance on Natural Language Code Search—0
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning—0
Energy-bounded Learning for Robust Models of Code—0
EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation—0
Semantic Code Search for Smart Contracts—0
A New Search Paradigm for Natural Language Code Search—0
CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search—0
Cascaded Fast and Slow Models for Efficient Semantic Code Search—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