Read Me

News

• This paper has been accepted to ICIC 2024 (Oral) (2024.5.13)
• We have updated the paper uploaded to ArXiv: https://arxiv.org/abs/2404.03921 (2024.5.16)

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Quick Start

• Install Dependencies

  pip install -r requirements.txt

• Download Data

  cd SentEval/data/downstream/
  bash download_dataset.sh
  cd -
  cd ./data
  bash download_nli.sh
  cd -

• Python version 3.9.18

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Acknowledgement

• Our code is based on PromptEOL

Friendship Link

• CoT-BERT: State-of-the-Art 🌟 unsupervised sentence representation scheme based on discriminative pre-trained language models (BERT, RoBERTa). CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought
• PretCoTandKE: State-of-the-Art 🌟 ​direct inference scheme for sentence embeddings based on generative pre-trained language models (OPT, LLaMA, LLaMA2, Mistral). Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models