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Jiajie Zou

2 accepted papers

2022

Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences

EMNLP 2022finding

Natural language inference (NLI) is a task to infer the relationship between a premise and a hypothesis (e.g., entailment, neutral, or contradiction), and transformer-based models perform well on current NLI datasets such as MNLI and SNLI. Nevertheless, given the linguistic complexity of the large-s…

Cited by 10SourcePDFScholar
2021

Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models

ACL 2021short

Pre-trained language models have achieved human-level performance on many Machine Reading Comprehension (MRC) tasks, but it remains unclear whether these models truly understand language or answer questions by exploiting statistical biases in datasets. Here, we demonstrate a simple yet effective met…

Cited by 49SourcePDFScholar