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 1–25 of 125 papers

TitleStatusHype
AutoCodeRover: Autonomous Program ImprovementCode7
RepoQA: Evaluating Long Context Code UnderstandingCode2
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View GraphsCode2
CoIR: A Comprehensive Benchmark for Code Information Retrieval ModelsCode2
Learning Deep Semantic Model for Code Search using CodeSearchNet CorpusCode1
Multimodal Representation for Neural Code SearchCode1
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language IntentCode1
ContraCLM: Contrastive Learning For Causal Language ModelCode1
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code SearchCode1
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code SearchCode1
Faster Person Re-IdentificationCode1
Backdooring Neural Code SearchCode1
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesCode1
Exploring Representation-Level Augmentation for Code SearchCode1
Bridging Pre-trained Models and Downstream Tasks for Source Code UnderstandingCode1
CoSQA: 20,000+ Web Queries for Code Search and Question AnsweringCode1
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity MeasuresCode1
Code Search based on Context-aware Code TranslationCode1
CodeSearchNet Challenge: Evaluating the State of Semantic Code SearchCode1
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and GenerationCode1
Search4Code: Code Search Intent Classification Using Weak SupervisionCode1
A Toolkit for Generating Code Knowledge GraphsCode1
funcGNN: A Graph Neural Network Approach to Program SimilarityCode1
deGraphCS: Embedding Variable-based Flow Graph for Neural Code SearchCode1
Language Models are Universal EmbeddersCode1
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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