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 51–75 of 125 papers

TitleStatusHype
Natural Language Outlines for Code: Literate Programming in the LLM Era—0
Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation—0
Noisy Pair Corrector for Dense Retrieval—0
OASIS: Order-Augmented Strategy for Improved Code Search—0
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings—0
On the Compression of Language Models for Code: An Empirical Study on CodeBERT—0
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages—0
OrcaLoca: An LLM Agent Framework for Software Issue Localization—0
LLM Agents Improve Semantic Code Search—0
Accelerating Code Search with Deep Hashing and Code Classification—0
ACES: Generating Diverse Programming Puzzles with with Autotelic Generative Models—0
A Language-Agnostic Model for Semantic Source Code Labeling—0
A Multi-Perspective Architecture for Semantic Code Search—0
Analyzing CodeBERT's Performance on Natural Language Code Search—0
A New Search Paradigm for Natural Language Code Search—0
AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees—0
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection—0
A Systematic Review of Automated Query Reformulations in Source Code Search—0
Bag-of-Words Baselines for Semantic Code Search—0
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?—0
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning—0
Beyond Natural Language Perplexity: Detecting Dead Code Poisoning in Code Generation Datasets—0
Cascaded Fast and Slow Models for Efficient Semantic Code Search—0
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search—0
Clone-Seeker: Effective Code Clone Search Using Annotations—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