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Found 3 papers, 1 papers with code
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems
Large deep learning models have shown great potential for delivering exceptional results in various applications.
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance
EvoText enables the model to learn up-to-date knowledge through a self-escalation process that builds on a priori knowledge.
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding
However, existing data augmentation techniques in natural language understanding (NLU) may not fully capture the complexity of natural language variations, and they can be challenging to apply to large datasets.
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