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

Showing 61–70 of 125 papers

TitleStatusHype
ContraCLM: Contrastive Learning For Causal Language ModelCode1
CodeDSI: Differentiable Code Search—0
CSSAM:Code Search via Attention Matching of Code Semantics and Structures—0
XLCoST: A Benchmark Dataset for Cross-lingual Code IntelligenceCode1
NS3: Neuro-Symbolic Semantic Code SearchCode0
CoCoSoDa: Effective Contrastive Learning for Code Search—0
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages—0
Accelerating Code Search with Deep Hashing and Code Classification—0
UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationCode1
Code Search based on Context-aware Code TranslationCode1
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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