SYSTEMS AND METHODS FOR AN ENCODER-DECODER BASED FRAMEWORK FOR CODE GENERATION AND UNDERSTANDING

Embodiments described herein provide a mixture of encoder-decoder Transformer framework for multi-task pretraining and flexible finetuning for both code understanding and generation tasks. Specifically, the framework is built on multimodal encoder and decoder modules. During pre-training, the encode...

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Bibliographische Detailangaben
Hauptverfasser: Wang, Yue, Le, Hung, Gotmare, Akhilesh Deepak, Li, Junnan, Hoi, Chu Hong
Format: Patent
Sprache:eng
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Zusammenfassung:Embodiments described herein provide a mixture of encoder-decoder Transformer framework for multi-task pretraining and flexible finetuning for both code understanding and generation tasks. Specifically, the framework is built on multimodal encoder and decoder modules. During pre-training, the encoder-decoder framework is trained with multiple learning objectives, including a diverse set of self-supervised tasks over two major stages of pretraining on unimodal and bimodal data.