In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

Input: Consider Input: oss analysis. To conduct a more thorough evaluation, we further investigate model behaviours in terms of both reconstruc

Output: How do they evaluate generated text quality?


Input: Consider Input: As indicated in its name, Recurrent Deep Stacking Network stacks and concatenates the outputs of previous frames into the input features of the current frame.

Output: What does recurrent deep stacking network do?


Input: Consider Input: he immediate impact of the explicit constraint is avoiding the collapse issue ($D_{KL}=0$) by setting a non-zero positive constraint ($C\ge 0$) on the KL term ($|D_{KL}\big (q_\phi ({z}|{x}) || p({z})\big )-C|$).


Output: Why does proposed term help to avoid posterior collapse?