: Later iterations of similar research used these foundations to create "Retrieval-Augmented Style Transfer" (RAST), allowing AI to ask the same question in multiple creative ways.
: The model inside this project significantly outperformed traditional sequence-to-sequence (Seq2Seq) baselines by better capturing "hidden structure information" in the text through graph neural networks. redistribute.zip
: Unlike older models that read text like a simple line of words, the code in this package treats text as a complex map (graph), making the resulting questions much more accurate to the source material. : Later iterations of similar research used these