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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
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