Papers by Maksim Podkorytov

1 papers
Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications (2021.naacl-main)

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Challenge: Existing studies have shown that word embeddings do not occupy a narrow cone, but rather drift in common directions.
Approach: They show that anisotropy can be restored using a simple transformation of word embeddings.
Outcome: The proposed model can restore anisotropy using a simple transformation.

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