  Experimental results show our proposed approach achieves significant gains on several multilingual QA benchmarks , reducing the gap between zero-shot and supervised performance of  QA models on various languages.
<meaning-changed>   Experimental results show our proposed approach achieves significant gains on several multilingual QA benchmarks , reducing the gap between zero-shot and supervised performance of  QA models on various languages.
 Human evaluations indicate the majority of such samples are grammatically correct and sensible. Experimental results show our proposed approach achieves significant gains on several multilingual QA benchmarks , reducing the gap between zero-shot and supervised performance of QA models on various languages.