Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Large-scale pre-trained language models have achieved tremendous success across a wide range of natural language understanding (NLU) tasks, even surpassing human performance. However, recent studies reveal that the robustness of these models can be challenged by carefully crafted textual adversarial...

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Bibliographische Detailangaben

Hauptverfasser:	Wang, Boxin, Xu, Chejian, Wang, Shuohang, Gan, Zhe, Cheng, Yu, Gao, Jianfeng, Awadallah, Ahmed Hassan, Li, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Cryptography and Security Computer Science - Learning
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