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README.md

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 # Model Examination
  
  The model craters note in the [associated paper](https://arxiv.org/pdf/2104.08821.pdf):
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-> **Uniformity and alignment.**
- We also observe that (1) though pre-trained embeddings have good alignment, their uniformity is poor (i.e., the embeddings are highly anisotropic); (2) post-processing methods like BERT-flow and BERT-whitening greatly improve uniformity but also suffer a degeneration in alignment; (3) unsupervised SimCSE effectively improves uniformity of pre-trained embeddings whereas keeping a good alignment;(4) incorporating supervised data in SimCSE further amends alignment.
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 # Technical Specifications [optional]