Contrastive Code-Comment Pre-training
Author:
Affiliation:
1. The University of Sydney,School of Computer Science, Faculty of Engineering,Sydney,Australia
2. Shanghai Qi Zhi Institute,Shanghai,China
Funder
Australian Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10027565/10027596/10027715.pdf?arnumber=10027715
Reference44 articles.
1. CodeBERT: A Pre-Trained Model for Programming and Natural Languages
2. Towards a Big Data Curated Benchmark of Inter-project Code Clones
3. CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
4. Codesearchnet challenge: Evaluating the state of semantic code search;husain;arXiv preprint arXiv 1909 06943,2019
5. A primer on contrastive pretraining in language processing: Methods, lessons learned and perspectives;rethmeier;arXiv preprint arXiv 2102 12982,2021
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