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CLEAR: Contrastive Learning for Sentences by Jing Ma is a document available to read on EtoBox.

What is CLEAR: Contrastive Learning for Sentences about?

The paper introduces CLEAR, a contrastive learning framework aimed at improving sentence representation by utilizing various sentence-level augmentation strategies. It demonstrates that different augmentations, such as word deletion and synonym substitution, lead to significant performance improvements on NLP tasks compared to existing methods. CLEAR outperforms strong baselines like RoBERTa and BERT on benchmarks including GLUE and SentEval, highlighting the effectiveness of its approach to sentence repres

Author

Jing Ma

Language

EN