Papers with CBBC

1 papers
Feeding What You Need by Understanding What You Learned (2022.acl-long)

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Challenge: Existing research on machine reading comprehension rely heavily on large-size models and corpus to improve performance.
Approach: They propose a framework that assesses model capabilities in an explainable and multi-dimensional manner.
Outcome: The proposed framework achieves an 11.22% / 8.71% improvement of EM / F1 on MRC tasks.

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