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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 41–50 of 125 papers

Title	Date	Tasks	Status	Hype
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
MELT: Mining Effective Lightweight Transformations from Pull Requests	Aug 28, 2023	Code Search	CodeCode Available	0
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark	Aug 9, 2023	Code SearchCode Translation	—Unverified	0
Constructing Multilingual Code Search Dataset Using Neural Machine Translation	Jun 27, 2023	Code SearchMachine Translation	CodeCode Available	0
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data	May 31, 2023	Code SearchLanguage Modeling	CodeCode Available	1
Backdooring Neural Code Search	May 27, 2023	Autonomous DrivingCode Search	CodeCode Available	1
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search	May 19, 2023	Clone DetectionCode Search	—Unverified	0
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets	May 19, 2023	Code SearchRetrieval	—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