Cross Lingual Natural Language Inference On

Accuracy

Résultats

Résultats de performance de divers modèles sur ce 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

0 of 3 row(s) selected.