Update README.md

README.md

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 We propose the PEG model (a Progressively Learned Textual Embedding), which progressively adjusts the weights of samples contributing to the loss within an extremely large batch, based on the difficulty levels of negative samples.
 we have amassed an extensive collection of over 110 million data, spanning a wide range of fields such as general knowledge, finance, tourism, medicine, and more.
 
+Our technical report is available at [Paper](https://arxiv.org/pdf/2311.11691.pdf)
 
 ## Usage (HuggingFace Transformers)