Instructions: 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.
Input: As our models did not use RL refinement, these results constitute significant gains of 1.34 and 1.12 BLEU score on top of the strong baselines in BIBREF3 . The perplexity scores are also better. On the Google Production dataset, our model achieved 1.01 higher test BLEU score even after training for only one sixth of the time.
Question: What improvement does the MOE model make over the SOTA on machine translation?
Output:
1.34 and 1.12 BLEU score on top of the strong baselines in BIBREF3 perplexity scores are also better On the Google Production dataset, our model achieved 1.01 higher test BLEU score