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 51–100 of 125 papers

TitleStatusHype
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
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation—0
CodeDSI: Differentiable Code Search—0
Code Representation Pre-training with Complements from Program Executions—0
CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search—0
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance—0
Contrastive Learning of Natural Language and Code Representations for Semantic Code Search—0
Contrastive Prompt Learning-based Code Search based on Interaction Matrix—0
COSEA: Convolutional Code Search with Layer-wise Attention—0
Crowd Sourced Data Analysis: Mapping of Programming Concepts to Syntactical Patterns—0
CSSAM:Code Search via Attention Matching of Code Semantics and Structures—0
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning—0
DeepRTL2: A Versatile Model for RTL-Related Tasks—0
Distilling Transformers for Neural Cross-Domain Search—0
EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In-Situ Code Search and Recommendation—0
Energy-bounded Learning for Robust Models of Code—0
CoCoSoDa: Effective Contrastive Learning for Code Search—0
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark—0
Evaluation of Siamese Networks for Semantic Code Search—0
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers—0
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics—0
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities—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
SCELMo: Source Code Embeddings from Language Models—0
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets—0
Semantic approaches to software component retrieval with English queries—0
Semantic Code Search for Smart Contracts—0
Semantic Source Code Search: A Study of the Past and a Glimpse at the Future—0
CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words—0
Toward Exploring the Code Understanding Capabilities of Pre-trained Code Generation Models—0
Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code—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