Xingcheng Yao

SimCSE: Simple Contrastive Learning of Sentence Embeddings

2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

This paper presents SimCSE, a simple contrastive learning framework that greatly advances the state-of-the-art sentence embeddings. We first describe an unsupervised approach, which takes an input sentence and predicts itself in a contrastive objective, with …