Cross Lingual Natural Language Inference On

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title
XLM-R R4F	84.7%	Better Fine-Tuning by Reducing Representational Collapse
X-BiLSTM	67.7%	Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
X-CBOW	60.3%	Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

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