Update README.md

README.md

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 <!-- Provide a quick summary of what the model is/does. -->
 
-**MrT5** (**M**e**r**ge**T5**) is a more efficient variant of ByT5 that integrates a token deletion mechanism in its encoder to *dynamically* shorten the input sequence length. After processing through a fixed number of encoder layers, a learned *delete gate* determines which tokens are to be removed and which are to be retained for subsequent layers. By effectively "merging" critical information from deleted tokens into a more compact sequence, MrT5 presents a solution to the practical limitations of existing byte-level models.
+**MrT5** (**M**e**r**ge**T5**) is a more efficient variant of [ByT5 (Xue et al., 2022)](https://arxiv.org/abs/2105.13626) that integrates a token deletion mechanism in its encoder to *dynamically* shorten the input sequence length. After processing through a fixed number of encoder layers, a learned *delete gate* determines which tokens are to be removed and which are to be retained for subsequent layers. By effectively "merging" critical information from deleted tokens into a more compact sequence, MrT5 presents a solution to the practical limitations of existing byte-level models.
 
 ## Citation