# Sentence Embedding Contrastive Learning

DiffCSE is an unsupervised contrastive learning framework for learning sentence embeddings sensitive to sentence differences.

DiffCSE is an unsupervised contrastive learning framework for learning sentence embeddings that are sensitive to sentence differences.

DiffCSE is an unsupervised contrastive learning framework designed to learn sentence embeddings sensitive to sentence differences. It enhances performance in semantic textual similarity tasks by generating edited sentences through random masking and sampling from a masked language model.

SimCSE is a simple contrastive learning framework for generating high-quality sentence embeddings, particularly suitable for unsupervised learning scenarios.