CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders

Research article (Information Processing & Management, 2024) · cited 10× · AI/ML
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CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders

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CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders. Retrieved May 24, 2026, from https://4ort.xyz/entity/clave-a-deep-learning-model-for-source-code-authorship-verification-with-contrastive-learning-and-transformer-encoders
MLA “CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clave-a-deep-learning-model-for-source-code-authorship-verification-with-contrastive-learning-and-transformer-encoders.
BibTeX @misc{4ortxyz_clave-a-deep-learning-model-for-source-code-authorship-verification-with-contrastive-learning-and-transformer-encoders_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders}}, year = {2026}, url = {https://4ort.xyz/entity/clave-a-deep-learning-model-for-source-code-authorship-verification-with-contrastive-learning-and-transformer-encoders}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders — https://4ort.xyz/entity/clave-a-deep-learning-model-for-source-code-authorship-verification-with-contrastive-learning-and-transformer-encoders (retrieved 2026-05-24)

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