Before revision: Large neural models have demonstrated human-level performance on language and vision benchmarks such as ImageNet and Stanford Natural Language Inference (SNLI). Yet, their performance degrades considerably when tested on adversarial or out-of-distribution samples.
After revision: Large neural models have demonstrated human-level performance on language and vision benchmarks , while their performance degrades considerably when tested on adversarial or out-of-distribution samples.