Task: Question Answering
Input (English): Table TABREF16 shows the recognition performance of naive multilingual approach using BLSTMP and VGG model against a monolingual model trained with BLSTMP. The results clearly indicate that having a better architecture such as VGG-BLSTM helps in improving multilingual performance. We used a character-level RNNLM, which was trained with 2-layer LSTM on character sequences. 
 Question: What architectures are explored to improve the seq2seq model?
Output (English): VGG-BLSTM character-level RNNLM