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
OrcaLoca: An LLM Agent Framework for Software Issue Localization—0
On the Compression of Language Models for Code: An Empirical Study on CodeBERT—0
Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code SearchCode0
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics—0
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning—0
Natural Language Outlines for Code: Literate Programming in the LLM Era—0
LLM Agents Improve Semantic Code Search—0
SpecRover: Code Intent Extraction via LLMs—0
Toward Exploring the Code Understanding Capabilities of Pre-trained Code Generation Models—0
CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven AgentsCode0
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code SearchCode0
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance—0
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language UnderstandingCode0
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree TransformationCode0
Noisy Pair Corrector for Dense Retrieval—0
ACES: Generating Diverse Programming Puzzles with with Autotelic Generative Models—0
Contrastive Prompt Learning-based Code Search based on Interaction Matrix—0
Code Representation Pre-training with Complements from Program Executions—0
Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion—0
MELT: Mining Effective Lightweight Transformations from Pull RequestsCode0
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark—0
Constructing Multilingual Code Search Dataset Using Neural Machine TranslationCode0
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search—0
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets—0
Show:102550
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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