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 101–125 of 125 papers

TitleStatusHype
A Systematic Review of Automated Query Reformulations in Source Code Search—0
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation—0
Distilling Transformers for Neural Cross-Domain Search—0
Bag-of-Words Baselines for Semantic Code Search—0
Contrastive Learning of Natural Language and Code Representations for Semantic Code Search—0
Memorization and Generalization in Neural Code Intelligence ModelsCode0
Clone-Seeker: Effective Code Clone Search Using Annotations—0
CoDesc: A Large Code-Description Parallel DatasetCode0
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?—0
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers—0
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees—0
COSEA: Convolutional Code Search with Layer-wise Attention—0
Evaluation of Siamese Networks for Semantic Code Search—0
GraphCodeBERT: Pre-training Code Representations with Data FlowCode0
CoNCRA: A Convolutional Neural Network Code Retrieval ApproachCode0
CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words—0
A Multi-Perspective Architecture for Semantic Code Search—0
SCELMo: Source Code Embeddings from Language Models—0
Semantic Source Code Search: A Study of the Past and a Glimpse at the Future—0
A Language-Agnostic Model for Semantic Source Code Labeling—0
When Deep Learning Met Code SearchCode0
Crowd Sourced Data Analysis: Mapping of Programming Concepts to Syntactical Patterns—0
Evaluating How Developers Use General-Purpose Web-Search for Code RetrievalCode0
Variable-Length Hashing—0
Semantic approaches to software component retrieval with English queries—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