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 1–50 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
Source Code Clone Detection Using Unsupervised Similarity MeasuresCode1
Multimodal Representation for Neural Code SearchCode1
Learning Deep Semantic Model for Code Search using CodeSearchNet CorpusCode1
PalmTree: Learning an Assembly Language Model for Instruction EmbeddingCode1
UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationCode1
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and GenerationCode1
deGraphCS: Embedding Variable-based Flow Graph for Neural Code SearchCode1
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured DataCode1
Rethinking Negative Pairs in Code SearchCode1
One Adapter for All Programming Languages? Adapter Tuning for Code Search and SummarizationCode1
funcGNN: A Graph Neural Network Approach to Program SimilarityCode1
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code SearchCode1
Exploring Representation-Level Augmentation for Code SearchCode1
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code SearchCode1
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language IntentCode1
On the Importance of Building High-quality Training Datasets for Neural Code SearchCode1
Rewriting the Code: A Simple Method for Large Language Model Augmented Code SearchCode1
Text and Code Embeddings by Contrastive Pre-TrainingCode1
XLCoST: A Benchmark Dataset for Cross-lingual Code IntelligenceCode1
Zero-Shot Cross-Domain Code Search without Fine-TuningCode1
Backdooring Neural Code SearchCode1
Search4Code: Code Search Intent Classification Using Weak SupervisionCode1
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity MeasuresCode1
Faster Person Re-IdentificationCode1
Code Search based on Context-aware Code TranslationCode1
CoSQA: 20,000+ Web Queries for Code Search and Question AnsweringCode1
Language Models are Universal EmbeddersCode1
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
ViC: Virtual Compiler Is All You Need For Assembly Code SearchCode1
Bridging Pre-trained Models and Downstream Tasks for Source Code UnderstandingCode1
A Toolkit for Generating Code Knowledge GraphsCode1
ContraCLM: Contrastive Learning For Causal Language ModelCode1
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance—0
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?—0
CoDesc: A Large Code-Description Parallel Dataset—0
Bag-of-Words Baselines for Semantic Code Search—0
Analyzing CodeBERT's Performance on Natural Language Code Search—0
CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search—0
CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search—0
Distilling Transformers for Neural Cross-Domain Search—0
Code Representation Pre-training with Complements from Program Executions—0
DeepRTL2: A Versatile Model for RTL-Related Tasks—0
Code Execution with Pre-trained Language Models—0
A Multi-Perspective Architecture for 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