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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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 61–70 of 125 papers

Title	Date	Tasks	Status	Hype
CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven Agents	Jun 17, 2024	Code GenerationCode Search	CodeCode Available	0
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search	Mar 25, 2024	Code SearchQuestion Answering	CodeCode Available	0
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance	Nov 25, 2023	Code SearchReranking	—Unverified	0
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding	Nov 16, 2023	Code CompletionCode Generation	CodeCode Available	0
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation	Nov 10, 2023	Clone DetectionCode Search	CodeCode Available	0
Noisy Pair Corrector for Dense Retrieval	Nov 7, 2023	Code SearchRetrieval	—Unverified	0
ACES: Generating Diverse Programming Puzzles with with Autotelic Generative Models	Oct 15, 2023	Code SearchDiversity	—Unverified	0
Contrastive Prompt Learning-based Code Search based on Interaction Matrix	Oct 10, 2023	Code SearchContrastive Learning	—Unverified	0
Code Representation Pre-training with Complements from Program Executions	Sep 4, 2023	Code SearchLanguage Modeling	—Unverified	0
Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion	Sep 1, 2023	Code CompletionCode Search	—Unverified	0

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All datasets CodeSearchNet CoDesc CodeXGLUE - AdvTest CodeSearchNet - Ruby CodeXGLUE - WebQueryTest CoIR

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	cpt-code M	Overall	93.5	—	Unverified
2	cpt-code S	Overall	93.4	—	Unverified
3	CodeT5+ 770M	Overall	77.4	—	Unverified
4	GraphCodeBERT	Overall	77.4	—	Unverified
5	CodeT5+ 220M	Overall	77.1	—	Unverified
6	CodeBERT	Overall	76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Self-attention	Test MRR	0.84	—	Unverified
2	NBOW	Test MRR	0.81	—	Unverified
3	RNN	Test MRR	0.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CodeT5+ 770M	MRR	44.7	—	Unverified
2	CodeT5+ 220M	MRR	43.3	—	Unverified
3	CodeBERT	MRR	27.19	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Uni-SBT	MRR	0.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CodeBERT	Accuracy	47.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Voyage-code-002	nDCG@10	56.26	—	Unverified