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
Repository-level Code Search with Neural Retrieval MethodsCode0
CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven AgentsCode0
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree TransformationCode0
Global Contrastive Batch Sampling via Optimization on Sample PermutationsCode0
Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code SearchCode0
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
URECA: The Chain of Two Minimum Set Cover Problems exists behind Adaptation to Shifts in Semantic Code Search—0
Variable-Length Hashing—0
What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code—0
You Don't Know Search: Helping Users Find Code by Automatically Evaluating Alternative Queries—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
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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