instruction:
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
question:
We call this lifelong interactive learning and inference (LiLi). Lifelong learning is reflected by the facts that the newly acquired facts are retained in the KB and used in inference for future queries, and that the accumulated knowledge in addition to the updated KB including past inference performances are leveraged to guide future interaction and learning.
answer:
In what way does LiLi imitate how humans acquire knowledge and perform inference during an interactive conversation?

question:
As shown in Table TABREF12, the T-T model significantly outperforms the LSTM-based RNN-T baseline.
answer:
What was previous state of the art model?

question:
our method still can improve the state-of-the-art accuracy BIBREF7 from 60.32% to 60.34% Although we only have 57% of testing questions can benefit from the basic questions, our method still can improve the state-of-the-art accuracy BIBREF7 from 60.32% to 60.34%,
answer:
What accuracy do they approach with their proposed method?