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 41–50 of 125 papers

TitleStatusHype
LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models—0
Knowledge Graph Based Repository-Level Code Generation—0
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks—0
Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code—0
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection—0
OASIS: Order-Augmented Strategy for Improved Code Search—0
LoRACode: LoRA Adapters for Code Embeddings—0
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings—0
Beyond Natural Language Perplexity: Detecting Dead Code Poisoning in Code Generation Datasets—0
URECA: The Chain of Two Minimum Set Cover Problems exists behind Adaptation to Shifts in 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
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