根据表格序列H，回答问题Q。
问题Q：What is the percentage improvement of MRR (Mean Reciprocal Rank) achieved by our method on a subset of the data, where any answer has at least 10 different aligned questions?
表格序列H：Method MRR R@1 R@5 SSE
BERTQA 37.90 30.81 45.24 0.23
USE-QA 47.06 40.90 53.44 0.14
Cross-VAEs 48.52 44.55 53.52 0.09
Table 3: Performance of answer retrieval on a subset of SQuAD in which any answer has more than 8 questions. Our method outperforms baselines much more. SSE indicates the sum of squared distances/errors between two different questions aligned to same answer.
