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Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
We find that training on adversarially collected samples leads to strong generalisation to non-adversarially collected datasets, yet with progressive performance deterioration with increasingly stronger models-in-the-loop.
Ranked #1 on
Reading Comprehension
on AdversarialQA
(using extra training data)
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