Questions

1. Machine intelligence uses the same data as humans to make predictions. (True/False)
2. SuperGLUE is more difficult than GLUE for NLP models. (True/False)
3. BoolQ expects a binary answer. (True/False)
4. WiC stands for Words in Context. (True/False)
5. Recognizing Textual Entailment (RTE) detects whether one sequence entails another sequence. (True/False)
6. A Winograd schema predicts whether a verb is spelled correctly. (True/False)
7. Transformer models now occupy the top ranks of GLUE and SuperGLUE. (True/False)
8. Human Baselines standards are not defined once and for all. They were made tougher to attain by SuperGLUE. (True/False)
9. Transformer models will never beat SuperGLUE Human Baselines standards. (True/False)
10. Variants of transformer models have outperformed RNN and CNN models. (True/False)