Prompt-Based Contrastive Learning for Sentence Representation

Prompt-Based Contrastive Learning for Sentence Representation

This article is approximately 1100 words long and is recommended to be read in 5 minutes. This article proposes using prompts to capture sentence representations. Although language models like BERT have achieved significant results, they still perform poorly in terms of sentence embeddings due to issues of sentence bias and anisotropy; We found that using … Read more