arXiv:2210.03405
공식 코드 · Papers with Code
PARAGEN : A Parallel Generation Toolkit
원문 초록
PARAGEN is a PyTorch-based NLP toolkit for further development on parallel generation. PARAGEN provides thirteen types of customizable plugins, helping users to experiment quickly with novel ideas across model architectures, optimization, and learning strategies. We implement various features, such as unlimited data loading and automatic model selection, to enhance its industrial usage. ParaGen is now deployed to support various research and industry applications at ByteDance. PARAGEN is available at https://github.com/bytedance/ParaGen.
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Tuning the Right Foundation Models is What you Need for Partial Label Learning
Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation
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