GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

Pre-trained language models (PLMs) are known to improve the generalization performance of natural language understanding models by leveraging large amounts of data during the pre-training phase. However, the out-of-distribution (OOD) generalization problem remains a challenge in many NLP tasks, limi...

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Hauptverfasser:	Yang, Linyi, Zhang, Shuibai, Qin, Libo, Li, Yafu, Wang, Yidong, Liu, Hanmeng, Wang, Jindong, Xie, Xing, Zhang, Yue
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Learning Computer Science - Performance
Online-Zugang:	Volltext bestellen
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