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ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning

Research article (2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2023) · cited 56× · AI/ML
academia openalex:W4384302803
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ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning

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ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/contrabert-enhancing-code-pre-trained-models-via-contrastive-learning
MLA “ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/contrabert-enhancing-code-pre-trained-models-via-contrastive-learning.
BibTeX @misc{4ortxyz_contrabert-enhancing-code-pre-trained-models-via-contrastive-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning}}, year = {2026}, url = {https://4ort.xyz/entity/contrabert-enhancing-code-pre-trained-models-via-contrastive-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning — https://4ort.xyz/entity/contrabert-enhancing-code-pre-trained-models-via-contrastive-learning (retrieved 2026-05-24)

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