YuxinJiang
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sup-promcse-roberta-large

Inference Endpoints

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YuxinJiang commited on Jan 14, 2023

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@@ -13,7 +13,7 @@ license: apache-2.0
 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/deep-continuous-prompt-for-contrastive-1/semantic-textual-similarity-on-sts15)](https://paperswithcode.com/sota/semantic-textual-similarity-on-sts15?p=deep-continuous-prompt-for-contrastive-1)
 arXiv link: https://arxiv.org/abs/2203.06875v2
-To be published in [**EMNLP 2022**](https://2022.naacl.org/)
 Our code is modified based on [SimCSE](https://github.com/princeton-nlp/SimCSE) and [P-tuning v2](https://github.com/THUDM/P-tuning-v2/). Here we would like to sincerely thank them for their excellent works.

 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/deep-continuous-prompt-for-contrastive-1/semantic-textual-similarity-on-sts15)](https://paperswithcode.com/sota/semantic-textual-similarity-on-sts15?p=deep-continuous-prompt-for-contrastive-1)
 arXiv link: https://arxiv.org/abs/2203.06875v2
+To be published in [**EMNLP 2022**](https://2022.emnlp.org/)
 Our code is modified based on [SimCSE](https://github.com/princeton-nlp/SimCSE) and [P-tuning v2](https://github.com/THUDM/P-tuning-v2/). Here we would like to sincerely thank them for their excellent works.