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 1–10 of 125 papers

TitleStatusHype
MGS3: A Multi-Granularity Self-Supervised Code Search Framework—0
DeepRTL2: A Versatile Model for RTL-Related Tasks—0
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
Zero-Shot Cross-Domain Code Search without Fine-TuningCode1
OASIS: Order-Augmented Strategy for Improved Code Search—0
LoRACode: LoRA Adapters for Code Embeddings—0
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All datasetsCodeSearchNetCoDescCodeXGLUE - AdvTestCodeSearchNet - RubyCodeXGLUE - WebQueryTestCoIR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CodeBERTAccuracy47.8—Unverified