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@@ -7,7 +7,7 @@ Language model of the pre-print arXiv paper titled: "_**miCSE**: Mutual Informat
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- Training **miCSE** 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.
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  # Benchmark
 
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+ 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.
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  # Benchmark