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 26–50 of 125 papers

TitleStatusHype
PalmTree: Learning an Assembly Language Model for Instruction EmbeddingCode1
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity MeasuresCode1
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured DataCode1
Code Search based on Context-aware Code TranslationCode1
Rethinking Negative Pairs in Code SearchCode1
UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationCode1
CodeSearchNet Challenge: Evaluating the State of Semantic Code SearchCode1
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesCode1
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and GenerationCode1
Learning Deep Semantic Model for Code Search using CodeSearchNet CorpusCode1
Bridging Pre-trained Models and Downstream Tasks for Source Code UnderstandingCode1
Exploring Representation-Level Augmentation for Code SearchCode1
ContraCLM: Contrastive Learning For Causal Language ModelCode1
Repository-level Code Search with Neural Retrieval MethodsCode0
CoDesc: A Large Code-Description Parallel DatasetCode0
CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code SearchCode0
Code Execution with Pre-trained Language ModelsCode0
REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search ModelsCode0
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code SearchCode0
MELT: Mining Effective Lightweight Transformations from Pull RequestsCode0
Memorization and Generalization in Neural Code Intelligence ModelsCode0
Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code SearchCode0
CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven AgentsCode0
GraphCodeBERT: Pre-training Code Representations with Data FlowCode0
Generating Clarifying Questions for Query Refinement in Source Code SearchCode0
Show:102550
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All datasetsCodeSearchNetCoDescCodeXGLUE - AdvTestCodeSearchNet - RubyCodeXGLUE - WebQueryTestCoIR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1cpt-code MOverall93.5—Unverified
2cpt-code SOverall93.4—Unverified
3GraphCodeBERTOverall77.4—Unverified
4CodeT5+ 770MOverall77.4—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