Update README.md

README.md

@@ -7,7 +7,7 @@ Language model of the pre-print arXiv paper titled: "_**miCSE**: Mutual Informat
 
 
 
-The **miCSE** language model is trained for sentence similarity computation. Training the model imposes alignment between the attention pattern of different views during contrastive learning. Learning sentence embeddings with **miCSE** entails enforcing the syntactic consistency across augmented views for every single sentence, making contrastive self-supervised learning more sample efficient. 
+The **miCSE** language model is trained for sentence similarity computation. Training the model imposes alignment between the attention pattern of different views (embeddings of augmentations) during contrastive learning. Learning sentence embeddings with **miCSE** entails enforcing the syntactic consistency across augmented views for every single sentence, making contrastive self-supervised learning more sample efficient. Sentence representations correspond to the embedding of the _**[CLS]**_ token.
 
 
 # Benchmark