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I am wondering why there has not been more usage of GANs for NLP. I know there has been research on the subject (The Google Scholar page for the subject is here).
Are there any specific reasons why GANs do not work for NLP specifically VQGAN + CLIP variants? I do not understand why most text generated by AI is done through predicting the next letter or word in a sequence with RNNs when GANs have had so much success generating deep fakes and the such instead of say, predicting the next pixel.