1. Although the story of the intuitive and reflective system sounds fancy, essentially, it's a traditional system with a generator along with a scoring mechanism (discriminator). The difference lies in the decomposition part, which was discussed widely in previous work like Least-to-Most prompting, Self-Ask, Decomposition Distillation, DecompT5, etc.
2. Expected to see the performance gain compared with other SOTA finetune-based methods.
3. Expected to see a general method to adapt to datasets that do not have intermediate subquestions and answers, which is common in most situations.
2. Expected to see the performance gain compared with other SOTA finetune-based methods.