Project Stir Fried is GAN inspire AI and dataset generator for low reasource languages. By implementing TEXTGAIL and Self-explain architecture. to both dataset generator and AI model layer.
Inspire by Generative Adversarial Networks (GANs).this is text generation that uses large pre-trained language models to provide more reliable reward guidance. Our approach uses contrastive discriminator, and proximal policy optimization (PPO) to stabilize and improve text generation performance to create dataset.
framework is to put an additional layer, as is called by the interpretation layer, on top of any existing NLP model. This layer aggregates the information for each text span, which is then associated with a specific weight, and their weighted combination is fed to the softmax function for the final prediction.
TEXTGAIL: https://arxiv.org/abs/2004.13796
Self-explain structure: https://arxiv.org/abs/2004.13796