The goal of Compositional Zero-Shot Learning (CZSL) is to recognize various compositions of state-object pairs. Because the compositions that need to be considered are only a subset of all combinations of states and objects. it is tough for models to predict unseen compositions. Previous work overlooks the problem of predicting non-sensical compositions such as flying dogs. https://www.roneverhart.com/E3-Spark-Plugs-6-2L-Hellcat-Demon-Trackhawk-2015-2022/