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
deGraphCS: Embedding Variable-based Flow Graph for Neural Code SearchCode1
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesCode1
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and GenerationCode1
PalmTree: Learning an Assembly Language Model for Instruction EmbeddingCode1
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees—0
Search4Code: Code Search Intent Classification Using Weak SupervisionCode1
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
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language IntentCode1
Faster Person Re-IdentificationCode1
funcGNN: A Graph Neural Network Approach to Program SimilarityCode1
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
A Toolkit for Generating Code Knowledge GraphsCode1
CodeSearchNet Challenge: Evaluating the State of Semantic Code SearchCode1
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
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