In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.
--------
Question: Furthermore, the basic seq2seq assumes a strict order between generated tokens, but in reality, we should not severely punish the model when it predicts the correct tokens in the wrong order. 
 Question: Do they impose any grammatical constraints over the generated output?

Answer: No


Question: In this section, we introduce an invertibility condition for our neural projector to tackle the optimization challenge. Specifically, we constrain our neural projector with two requirements: (1) INLINEFORM0 and (2) INLINEFORM1 exists.  
 Question: What is the invertibility condition?

Answer: The neural projector must be invertible.


Question: We evaluate three models of the image attention mechanism INLINEFORM0 of equation EQREF11 . Soft attention Hard Stochastic attention Local Attention 
 Question: Which attention mechanisms do they compare?

Answer:
Soft attention Hard Stochastic attention Local Attention